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  • Lin J, Demner-Fushman D. "Bag of words" is not enough for strength of evidence classification AMIA Annu Symp Proc. 2005:1031.
  • Yu Z, Nguyen T, Dhombres F, Johnson T, Bodenreider O. "Hybrid Topics" - Facilitating the Interpretation of Topics Through the Addition of MeSH Descriptors to Bags of Words. Stud Health Technol Inform. 2017;245:662-666.
  • Guo P, Xue Z, Long LR, Antani SK. 1. Anatomical landmark segmentation in uterine cervix images using deep learning. Proc. SPIE 11318, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications, 1131810 (2 March 2020)
  • Guo P, Xue Z, Mtema Z, Yeates K, Ginsburg O, Demarco M, Long LR, Schiffman M, Antani SK. 2. Ensemble Deep Learning for Cervix Image Selection toward Improving Reliability in Automated Cervical Precancer Screening. Diagnostics (Basel) 2020 Jul 3;10(7):451.
  • Antani S, Long LR, Thoma GR. A Biomedical Information System for Combined Content-Based Retrieval of Spine X-ray Images and Associated Text Information 3rd Indian Conference on Computer Vision, Graphics, and Image Processing. 2002 Dec.
  • Xue Z, Bryant B, Long LR, Sari-Sarraf H, Thoma GR, Wachtel M. A Client-Server Tool for Automatic Fast GPU-based Detection of Squamous Epithelium Tissue Regions in Histology Images [Poster]. RSNA 2014. Chicago, USA, Nov 30-Dec 5, 2014
  • Karargyris A, Candemir S, Jaeger S, Xue Z, Antani SK, Thoma GR. A Combined Approach for Lung Boundary Segmentation of Chest X-Ray Images [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
  • McCray AT, Bodenreider O. A Conceptual Framework for the Biomedical Domain The Semantics of Relationships: An Interdisciplinary Perspective. Boston: Kluwer Academic Publishers. 2002;:181-198.
  • You D, Antani SK, Demner-Fushman D, Thoma GR. A Contour-based Shape Descriptor For Biomedical Image Classification and Retrieval. Proceedings of SPIE 2014, Vol. 9021, Document Recognition and Retrieval XXI. February 2014;9021.
  • Demner-Fushman D, Antani S, Kalpathy-Cramer J, Müller H. A decade of community-wide efforts in advancing medical image understanding and retrieval. Comput Med Imaging Graph. 2015 Jan;39:1-2. doi: 10.1016/j.compmedimag.2014.12.002.
  • Xue Z, Novetsky A, Einstein M, Marcus J, Befano B, Guo P, Demarco M, Wenzenten N, Long LR, Schiffman M, Antani SK. A demonstration of automated visual evaluation of cervical images taken with a smartphone camera. Int J Cancer . 2020 Apr 30
  • Winnenburg R, Bodenreider O. A framework for assessing the consistency of drug classes across sources. J Biomed Semantics. 2014 Jul 9;5:30. doi: 10.1186/2041-1480-5-30. eCollection 2014.
  • Bodenreider O, Burgun A. A framework for comparing phenotype annotations of orthologous genes. Stud Health Technol Inform. 2010;160(Pt 2):1309-13.
  • Bodenreider O, Peters LB. A graph-based approach to auditing RxNorm. J Biomed Inform. 2009 Jun;42(3):558-70. doi: 10.1016/j.jbi.2009.04.004. Epub 2009 Apr 24.
  • Cameron D, Bodenreider O, Yalamanchili H, Danh T, Vallabhaneni S, Thirunarayan K, Sheth AP, Rindflesch TC. A graph-based recovery and decomposition of Swanson's hypothesis using semantic predications. J Biomed Inform. 2013 Apr;46(2):238-51. doi: 10.1016/j.jbi.2012.09.004. Epub 2012 Sep 28.
  • Kim E, Huang X, Tan G, Long LR, Antani S. A Hierarchical SVG Image Abstraction Layer for Medical Imaging Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications. San Diego, California. March 2010;7628
  • Kilicoglu H, Rogers W. A Hybrid System for Extracting Chemical-Disease Relationships from Scientific Literature. 2015. BioCreative 5 Proceedings.
  • Bryant B, Sari-Sarraf H, Long LR, Antani SK. A Kernel Support Vector Machine Trained Using Approximate Global and Exhaustive Local Sampling. Proceedings of the 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) 2017, Austin, Texas, USA, December 2017. Pp. 267-8 DOI: https://doi.org/10.1145/3148055.3149206
  • Rahman MM, Antani SK, Thoma GR. A learning-based similarity fusion and filtering approach for biomedical image retrieval using SVM classification and relevance feedback. IEEE Trans Inf Technol Biomed. 2011 Jul;15(4):640-6. doi: 10.1109/TITB.2011.2151258. Epub 2011 Jun 16.
  • Krainak DM, Long LR, Thoma GR. A Method of Content-Based Retrieval for a Spinal X-Ray Image Database Proc. of SPIE Medical Imaging: PACS and Integrated Medical Systems. 2002 Feb;4685.
  • You D, Antani SK, Demner-Fushman D, Thoma GR. A MRF Model for Biomedical Image Segmentation. CBMS 2014. May 2014.
  • Rance B, Doughty E, Demner-Fushman D, Kann MG, Bodenreider O. A mutation-centric approach to identifying pharmacogenomic relations in text. J Biomed Inform. 2012 Oct;45(5):835-41. doi: 10.1016/j.jbi.2012.05.003. Epub 2012 Jun 7.
  • Xu T, Xin C, Long LR, Antani SK, Xue Z, Kim E, Huang X. A New Image Data Set and Benchmark for Cervical Dysplasia Classification Evaluation. Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015, LNCS 9352, pp. 26–35, 2015. DOI: 10.1007/978-3-319-24888-2 4.
  • Cheng B, Stanley RJ, Antani SK, Thoma GR. A Novel Computational Intelligence-based Approach For Medical Image Artifacts Detection Proceedings of the 2010 International Conference on Artificial Intelligence and Pattern Recognition. Orlando, FL. July 2010:113-20
  • Rajaraman S, Candemir S, Xue Z, Alderson P, Kohli M, Abuya J, Thoma GR, Antani SK. A novel stacked generalization of models for improved TB detection in chest radiographs. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC 2018), Honolulu, Hawaii, 2018. pp. 718-721.
  • Rajaraman S, Candemir S, Xue Z, Alderson P, Thoma G, Antani SK. A Novel Stacked Model Ensemble for Improved TB Detection in Chest Radiographs. In Santosh KC et al. (Eds.). Medical Imaging: Artificial Intelligence, Image Recognition, and Machine Learning Techniques. (pp. 1-26). New York, NY: CRC Press, Taylor & Francis Group.
  • Sorbello A, Ripple AM, Bodenreider O. A pilot study to support prospective detection of emerging adverse drug events [Poster]. AMIA Annu Symp Proc 2015:1699.
  • Bodenreider O, Coban ZH, Doganay MC, Erdem E, Kosucu H. A preliminary report on answering complex queries related to drug discovery using answer set programming. Proceedings of the 3rd International Workshop on Applications of Logic Programming to the (Semantic) Web and Web Services (ALPSWS2008), 2008: p. 85-90 (electronic proceedings: http://ceur-ws.org/Vol-434/).
  • Tulpule B, Hernes DL, Srinivasan Y, Mitra S, Sriraja Y, Nutter BS, Phillips B, Long RL, Ferris DG. A Probabilistic Approach to Segmentation and Classification of Neoplasia in Uterine Cervix Images Using Color and Geometric Features SPIE Medical Imaging, February 2005; San Diego, CA; vol. 5748:995-1003
  • Long LR, Antani SK, Thoma GR. A Prototype Content-Based Image Retrieval System for Spine X-Rays Proc. 16th IEEE Symposium on Computer-Based Medical Systems. 2003 June;: 156-62.
  • Demner-Fushman D, Seckman C, Fisher C, Hauser SE, Clayton J, Thoma GR. A prototype system to support evidence-based practice AMIA Annu Symp Proc. 2008 Nov 6:151-5.
  • Cohen T, Roberts K, Gururaj AE, Chen X, Pournejati S, Alter G, Hersh WR, Demner-Fushman D, Ohno-Machado L, Lu H. A publicly available benchmark for biomedical dataset retrieval: the reference standard for the 2016 bioCADDIE dataset retrieval challenge. Database (Oxford). 2017 Jan 1;2017. doi: 10.1093/database/bax061.
  • Rahman MM, Antani SK, Thoma GR. A Query Expansion Framework in Image Retrieval Domain Based on Local and Global Analysis. Inf Process Manag. 2011 Sep 1;47(5):676-691.
  • Stanley RJ, Long LR. A Radius of Curvature Approach to Cervical Spine Vertebra Image Analysis Proc. 38th Annual Rocky Mountain Bioengineering Symposium, 37. 2001 Apr;: 385-90.
  • Candemir S, Antani SK. A review on lung boundary detection in chest X-rays. Int J Comput Assist Radiol Surg. 2019 Feb 7. doi: 10.1007/s11548-019-01917-1.
  • You D, Simpson M, Antani SK, Demner-Fushman D, Thoma GR. A robust pointer segmentation in biomedical images toward building a visual ontology for biomedical article retrieval. Proc. SPIE 8658, Document Recognition and Retrieval XX, 86580Q (February 4, 2013); doi:10.1117/12.2005934.
  • Bodenreider O. A Semantic Navigation Tool for the UMLS AMIA Annu Symp Proc. 2000;: 971.
  • Nelson SJ, Brown SH, Erlbaum MS, Olson N, Powell T, Carlsen B, Carter J, Tuttle MS, Hole WT. A semantic normal form for clinical drugs in the UMLS: early experiences with the VANDF. Proc AMIA Symp. 2002:557-61.
  • KC S, Alam M, Roy P, Wendling L, Antani SK, Thoma GR. A simple and efficient arrowhead detection in biomedical images. International J Pattern Recognition and Artificial Intelligence (IJPRAI), 30(5), 1657002, 2016, DOI: 10.1142/S0218001416570020.
  • Abhyankar S, Demner-Fushman D. A simple method to extract key maternal data from neonatal clinical notes. AMIA Annu Symp Proc. 2013 Nov 16;2013:2-9. eCollection 2013.
  • Xu X, Lee DJ, Antani S, Long LR. A Spine X-ray Image Retrieval System using Partial Shape Matching IEEE Trans Inf Technol Biomed. 2008 Jan;12(1):100-8.
  • Antani S, Kasturi R, Jain R. A Survey on the Use of Pattern Recognition Methods for Abstraction Indexing and Retrieval of Images and Video Pattern Recognition Journal. 2002;35(4): 945-965.
  • Xue Z, Jaeger S, Karargyris A, Candemir S, Antani SK, Long LR, Thoma GR, McDonald CJ. A System for Automated Screening for Tuberculosis using Digital Chest X-rays for Resources-Constrained Regions [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
  • Zolnoori M, Fung K, Patrick TB, Fontelo P, Kharrazi H, Faiola A, Wu YSS, Eldredge CE, Luo J, Conway M, Zhu J, Park SK, Xu K, Moayyed H, Goudarzvand S. A systematic approach for developing a corpus of patient reported adverse drug events: A case study for SSRI and SNRI medications. NCBINCBI Logo Skip to main content Skip to navigation Resources How To About NCBI Accesskeys PubMed US National Library of Medicine National Institutes of Health Search databaseSearch term 30611893[uid] Clear inputSearch Create RSSCreate alertAdvancedHelp Result Filters Format: AbstractSend to J Biomed Inform. 2019 Feb;90:103091. doi: 10.1016/j.jbi.2018.12.005. Epub 2019 Jan 4.
  • Jeronimo J, Schiffman M, Long LR, Neve L, Antani S. A Tool for Collection of Region Based Data from Uterine Cervix Images for Correlation of Visual and Clinical Variables Related to Cervical Neoplasia Proc. 17th IEEE Symposium on Computer-Based Medical Systems: IEEE Computer Society. 2004 June.;:558-62.
  • Sahoo SS, Nguyen V, Bodenreider O, Parikh P, Minning T, Sheth AP. A unified framework for managing provenance information in translational research. BMC Bioinformatics. 2011 Nov 29;12:461. doi: 10.1186/1471-2105-12-461.
  • Xue Z, Long LR, Antani SK, Neve L, Zhu Y, Thoma GR. A unified set of analysis tools for uterine cervix image segmentation. Comput Med Imaging Graph. 2010 Dec;34(8):593-604. doi: 10.1016/j.compmedimag.2010.04.002. Epub 2010 May 26.
  • Goss FR, Lai KH, Topaz M, Acker WW, Kowalski L, Plasek JM, Blumenthal KG, Seger DL, Slight SP, Fung KW, Chang FY, Bates DW, Zhou L. A value set for documenting adverse reactions in electronic health records. J Am Med Inform Assoc. 2018 Jun 1;25(6):661-669. doi: 10.1093/jamia/ocx139.
  • Rahman MM, Antani SK, Demner-Fushman D, Thoma GR. A visual concept-based interactive biomedical image retrieval using entropy and spatial information. Proc. SPIE. 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 94180U. (March 17, 2015) doi: 10.1117/12.2081456.
  • Crowell J, Zeng QT, Tse T. A Web Application to Support Consumer Health Vocabulary Development AMIA Annu Symp Proc. 2005:932
  • Xue Z, Long R, Antani SK, Thoma GR. A Web-accessible Content-based Cervicographic Image Retrieval System Proc SPIE Medical Imaging 2008. April 2008;6919:691907-1-9
  • Alzamzmi GA, Rajaraman S, Antani SK. Accelerating Super-Resolution and Visual Task Analysis in Medical Images. Appl. Sci. 2020, 10, 4282.
  • Burgun A, Bodenreider O. Accessing and Integrating Data and Knowledge for Biomedical Research Yearb Med Inform. 2008:91-101
  • Hole WT, Carlsen BA, Tuttle MS, Srinivasan S, Lipow SS, Olson NE, Sheretz DD, Humphreys BL. Achieving "source transparency" in the UMLS Metathesaurus. Stud Health Technol Inform. 2004;107(Pt 1):371-5.
  • Fung K, Xue Z, Ameye F, Gutierrez AR, D'Have A. Achieving Logical Equivalence between SNOMED CT and ICD-10-PCS Surgical Procedures. AMIA Annu Symp Proc. 2018 Apr 16;2017:724-733. eCollection 2017.
  • Hole WT, Srinivasan S. Adding NeuroNames to the UMLS Metathesaurus. Neuroinformatics. 2003;1(1):61-3.
  • Callaghan F, Demner-Fushman D, Abhyankar S, McDonald CJ. Addressing errors in a retrospective observational ICU database [poster]. AMIA 2011 Fall Symposium.
  • Jain SK, Andronikou S, Goussard P, Antani SK, Gomez-Pastrana D, Delacour C, Starke JR, Ordonez AA, Jean-Philippe P, Browning RS, Perez-Velez C. Advanced imaging tools for childhood tuberculosis: potential applications and research needs. . The Lancet Infectious Diseases. DOI:https://doi.org/10.1016/S1473-3099(20)30177-8
  • Bodenreider O, Rindflesch TC. Advanced Library Services: Developing a Biomedical Knowledge Repository to Support Advanced Information Management Applications September 2006 Technical Report to the LHNCBC Board of Scientific Counselors.
  • Ruttenberg A, Clark T, Bug W, Samwald M, Bodenreider O, Chen H, Doherty D, Forsberg K, Gao Y, Kashyap V, Kinoshita J, Luciano J, Marshall MS, Oqbuji C, Rees J, Stephens S, Wong GT, Wu E, Zaccaqnini D, Hongsermeier T, Neumann E, Herman I, Cheung KH. Advancing Translational Research with the Semantic Web BMC Bioinformatics. 2007 May 9;8 Suppl 3:S2
  • Castle PE, Jeronimo J, Schiffman M, Herroro R, Rodriguez AC, Bratti MC, Hildesheim A, Wacholder S, Long LR, Neve L, Pfeiffer R, Burk RD. Age-related changes of the cervix influence human papillomavirus type distribution Cancer Res. 2006 Jan 15;66(2):1218-24.
  • McCray AT, Burgun A, Bodenreider O. Aggregating UMLS Semantic Types for Reducing Conceptual Complexity Medinfo. 2001 ;10(Pt 1):216-20.
  • Almubarak H, Guo P, Stanley RJ, Long LR, Antani SK, Thoma GR. Algorithm Enhancements for Improvement of Localized Classification of Uterine Cervical Cancer Digital Histology Images. in Handbook of Research on Emerging Perspectives on Healthcare Information Systems and Informatics,. IGI Global (Hershey, PA).
  • Bodenreider O, Burgun A. Aligning Knowledge Sources in the UMLS: Methods, Quantitative Results, and Applications Medinfo. 2004 Sept.;2004:327-331.
  • Zhang S, Bodenreider O. Aligning Representations of Anatomy Using Lexical and Structural Methods AMIA Annu Symp Proc. 2003 Nov;:753-757.
  • Mrabet Y, Vougiouklis P, Kilicoglu H, Gardent C, Demner-Fushman D, Hare J, Simperl E. Aligning Texts and Knowledge Bases with Semantic Sentence Simplification. WebNLG 2016.
  • Zhang S, Bodenreider O. Alignment of Multiple Ontologies of Anatomy: Deriving Indirect Mappings from Direct Mappings to a Reference AMIA Annu Symp Proc 2005:864-868
  • Schulz S, Beisswanger, van den Hoek L, Bodenreider O, van Mulligen EM. Alignment of the UMLS Semantic Network with BioTop: Methodology and Assessment Bioinformatics 2009;25(12):i69-i76
  • Peters L, Nguyen T, Bodenreider O. An application programming interface for NDF-RT AMIA Annu Symp Proc 2011:1922
  • Peters L, Kapusnik-Uner JE, Nguyen T, Bodenreider O. An approximate matching method for clinical drug names. AMIA Annu Symp Proc. 2011;2011:1117-26. Epub 2011 Oct 22.
  • Cantor MN, SI N, Hartel F, Bodenreider O, Lussier YA. An Evaluation of Hybrid Methods for Matching Biomedical Terminologies: Mapping the Gene Ontology to the UMLS Stud Health Technol Inform. 2003;:62-67.
  • Pearson G, Gill MJ. An Evaluation of Motion JPEG 2000 for Video Archiving. Proc. Archiving 2005. Washington, D.C. April 2005:237-43.
  • Sahoo S, Bodenreider O, Zeng K, Sheth AP. An Experiment in Integrationg Large Biomedical Knowledge Resources with RDF: Application to Associating Genotype and Phenotype Information Proc Workshop on Health Care and Life Sciences Data Integration for the Semantic Web at WWW2007 (electronic proceedings: http://www2007.org/workshops/paper_149.pdf)
  • Fung KW, Xu J. An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT. J Am Med Inform Assoc. 2015 May;22(3):649-58. doi: 10.1093/jamia/ocu022. Epub 2015 Feb 26.
  • Jaeger S. An information-theoretic neural model based on concepts in Chinese medicine. 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).
  • Rahman MM, Antani SK, Demner-Fushman D, Thoma GR. An Interactive Region-Of-interest (ROI)- Based Image Retrieval Approach of Biomedical Articles in a Local Concept- Based Feature Space [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
  • Bodenreider O. An Object-Oriented Model for Representing Semantic Locality in the UMLS Medinfo. 2001 ;10(Pt 1):161-5.
  • Hu L, Bell D, Antani SK, Xue Z, Yu K, Horning MP, Gachuhi N, Wilson B, Jaiswal MS, Befano B, Long LR, Herrero R, Einstein MH, Burk RD, Demarco M, Gage JC, Wentzensen N, Schiffman M. An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening. J Natl Cancer Inst. 2019 Jan 10. doi: 10.1093/jnci/djy225
  • Xue Z, Antani SK, Long LR, Thoma GR. An online segmentation tool for cervicographic image analysis. ACM International Health Informatics Symposium, IHI 2010, Arlington, VA, USA, November 11 - 12, 2010, Proceedings; 01/2010.
  • Bergun A, Bodenreider O. An ontology of chemical entities helps identify dependence relations among Gene Ontology terms Proc SMBM-2005
  • Wang H, Azuaje F, Bodenreider O. An Ontology-Driven Clustering Method for Supporting Gene Expression Analysis CBMS’2005. 2005:389-394.
  • Callaghan F, Jackson MT, Demner-Fushman D, Abhyankar S, McDonald C. Analysis of data that has been extracted from free-text using natural language processing: a likelihood model for misclassification with an application to medical informatics. International Conference on Advances in Interdisciplinary Statistics and Combinatorics (AISC2012), Greensboro, NC, October 2012
  • Zamora G, Sari-Sarraf H, Mitra S, Long R. Analysis of the Feasibility of Using Active Shape Models for Segmentation of Gray Scale Images Proc. of SPIE Medical Imaging: Image Processing. 2002 Feb;4684:1370-81.
  • Mougin FL, Bodenreider O, Burgun A. Analyzing polysemous concepts from a clinical perspective: application to auditing concept categorization in the UMLS. J Biomed Inform. 2009 Jun;42(3):440-51. doi: 10.1016/j.jbi.2009.03.008. Epub 2009 Mar 18.
  • Bodenreider O, Rodriguez L. Analyzing U.S. prescription lists with RxNorm and the ATC/DDD Index. AMIA Annu Symp Proc. 2014 Nov 14;2014:297-306. eCollection 2014.
  • Thoma GR. Anatomic Images for the Public May 2003 Technical Report to the LHNCBC Board of Scientific Counselors.
  • You D, Simpson M, Antani SK, Demner-Fushman D, Thoma GR. Annotating image ROIs with text descriptions for multimodal biomedical document retrieval. Proc. SPIE 8658, Document Recognition and Retrieval XX, 86580Q (February 4, 2013); doi:10.1117/12.2005934; http://dx.doi.org/10.1117/12.2005934.
  • Cherukuri M, Stanley RJ, Long R, Antani S, Thoma G. Anterior Osteophyte Discrimination in Lumbar Vertebrae Using Size-Invariant Features Comput Med Imaging Graph. 2004 Jan-Mar;28(1-2):99-108.
  • Bodenreider O. API: Prescribable
  • Fung KW. API: RxTerms
  • Gandhi T, Kasturi R, Antani S. Application of Planar Motion Segmentation for Scene Text Extraction Proc. of the 15th IEEE International Conference of Pattern Recognition. 2000 Sept.;1:1831-4.
  • Fung KW. Applied Medical Terminology Research April 2009 Technical Report to the LHNCBC Board of Scientific Counselors.
  • Guan Y, Li M, Jaeger S, Lure F, Raptopoulos V, Lu P, Folio LR, Candemir S, Antani SK, Siegelman J, Li J, Wu T, Thoma GR, Qu S. Applying Artificial Intelligence and Radiomics for Computer Aided Diagnosis and Risk Assessment in Chest Radiographs. 2nd Conference on Machine Intelligence in Medical Imaging (CMIMI) of the Society for Imaging Informatics in Medicine (SIIM), Poster, 2017.
  • Cheng P, Lu P, Wang P, Zhou W, Yu W, Jaeger S, Li J, Wu T, Ke X, Zheng B, Antani SK, Candemir S, Quan S, Lure F, Li H, Guo L. Applying Deep Learning and Radiomics to Determine Biological Lung and Heart Age from Chest Radiographs. Chinese Congress of Radiology.
  • Lure F, Jaeger S, Cheng G, Li H, Lu P, Yu W, Kung J, Guan Y. Applying Multi-modality Artificial Intelligence for Screening of Tuberculosis in a TB High-burden Large Rural Region in China TBScience, 50th Union World Conference on Lung Health, Hyderabad, India.
  • Antani SK, Long RL, Thoma GR. Applying Vertebral Boundary Semantics to CBIR of Digitized Spine X-Ray Images Proc SPIE Electronic Imaging Science and Technology, Conference on Storage and Retrieval Methods and Applications for Multimedia. 2005;5682:98-107.
  • Mougin F, Bodenreider O. Approaches to Eliminating Cycles in the UMLS Metathesaurus: Naive vs. Formal AMIA Annu Symp Proc. 2005:550-4
  • Amini S, Kilicoglu H, Hooft L, ter Riet G. Are we expressing uncertainty of our claims enough? Towards automatic detection of overstatement of claims [Poster]. 2015. World Conference on Research Integrity (WCRI).
  • KC S, Naved A, Roy PP, Wendling L, Antani SK, Thoma GR. Arrowhead detection in biomedical images. Proceedings IS&T Electronic Imaging, Document Recognition and Retrieval XXIII, 2016, pp. 1-7.
  • Burgun A, Bodenreider O. Aspects of the Taxonomic Relation in the Biomedical Domain FOIS. 2001;: 222-233
  • Bodenreider O, Burgun A, Rindflesch TC. Assessing the Consistency of a Biomedical Terminology Through Lexical Knowledge Int J Med Inf. 2002 Dec 4;67(1-3):85-95.
  • Rajaraman S, Sornapudi S, Kohli M, Antani SK. Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany, 23 – 27 July 2019. pp. 3689 – 3692.
  • Ganesan P, Rajaraman S, Long LR, Ghoraani B, Antani SK. Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest Radiographs. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany, 23 – 27 July 2019. pp. 841 – 844.
  • Candemir S, Jaeger S, Antani S, Bagci U, Folio LR, Xu Z, Thoma G. Atlas-based rib-bone detection in chest X-rays. Comput Med Imaging Graph. 2016 Jul;51:32-9. doi: 10.1016/j.compmedimag.2016.04.002. Epub 2016 Apr 13.
  • Vizenor LT, Bodenreider O, McCray AT. Auditing associative relations across two knowledge sources. J Biomed Inform. 2009 Jun;42(3):426-39. doi: 10.1016/j.jbi.2009.01.004.
  • Wang Y, Wei D, Xu J, Elhanan G, Perl Y, Halper M, Chen Y, Spackman KA, Hripcsak G. Auditing complex concepts in overlapping subsets of SNOMED. AMIA Annu Symp Proc. November 2008:273-7.
  • Wang Y, Halper M, Wei D, Gu H, Perl Y, Xu J, Elhanan G, Chen Y, Spackman KA, Case JT, Hripcsak G. Auditing complex concepts of SNOMED using a refined hierarchical abstraction network. J Biomed Inform. 2012 Feb;45(1):1-14. doi: 10.1016/j.jbi.2011.08.016. Epub 2011 Sep 1.
  • Cui L, Bodenreider O, Shi J, Zhang GQ. Auditing SNOMED CT hierarchical relations based on lexical features of concepts in non-lattice subgraphs. Biomed Inform. 2018 Feb;78:177-184. doi: 10.1016/j.jbi.2017.12.010. Epub 2017 Dec 20.
  • Mougin F, Bodenreider O. Auditing the NCI Thesaurus with Semantic Web Technologies AMIA Annu Symp Proc. 2008 Nov 6:500-4
  • Le DX, Thoma GR. Automated Article Links Identification for Web-Based Online Medical Journals Proc. 8th World Multiconference on Systemics, Cybernetics and Informatics. 2004 Jul.;5:462-6.
  • KC S, Antani SK. Automated chest X-ray screening: Can lung region symmetry help detect pulmonary abnormalities? IEEE Transactions on Medical Imaging. doi: https://doi.org/10.1109/TMI.2017.2775636.
  • Santosh KC, Antani SK. Automated chest x-ray screening: Can lung region symmetry help detect pulmonary abnormalities? doi: 10.1109/TMI.2017.2775636 vol. 37, no. 5, 1168-1177.
  • Antani SK. Automated Detection of Lung Diseases in Chest X-Rays April 2015 Technical Report to the LHNCBC Board of Scientific Counselors
  • Kim J, Le DX, Thoma GR. Automated Labeling for Biomedical Journals Published in Foreign Languages Proc. 8th World Multiconference on Systemics, Cybernetics and Informatics. 2004 Jul.;:444-9.
  • Yang F, Poostchi M, Silamut K, Maude RJ, Jaeger S, Thoma G. Automated Parasite Classification of Malaria on Thick Blood Smears. ASTMH 67th Annual Meeting, New Orleans, LA, Oct. 28 – Nov. 1, 2018.
  • Lure F, Jaeger S, Antani SK. Automated Systems for microscopic and radiographic tuberculosis screening. Electronic Journal of Emerging Infectious Diseases, Vol. 2, No. 1, pp. 5-9, February 2017. [In Chinese]
  • Yu H, Yang F, Silamut R, Maude S, Jaeger S, Antani SK. Automatic Blood Smear Analysis with Artificial Intelligence and Smartphones. ASTMH 68th Annual Meeting, Washington DC, Nov. 20-24, 2019.
  • Greenspan H, Gordon S, Zimmerman G, Lotenberg S, Jeronimo J, Antani S, Long LR. Automatic Detection of Anatomical Landmarks In Uterine Cervix Images IEEE Trans Med Imaging. 2009 Mar;28(3):454-68
  • Bodenreider O, Mougin F, Burgun A. Automatic Determination of Anti-coagulation Status with NDF-RT Proceedings of the 13th ISMB'2010 SIG meeting Bio-ontologies 2010:140-143
  • Lotenberg S, Gordon S, Long LR, Antani SK, Jeronimo J, Greenspan H. Automatic Evaluation of Uterine Cervix Segmentations Proc. SPIE Medical Imaging 2007. Vol. 6515: 65151J-1-12.
  • Xue Z, Long LR, Antani SK, Thoma GR. Automatic Extraction of Mosaic Patterns In Uterine Cervix Images 23rd IEEE International Symposium on Computer-Based Medical Systems (CBMS) 2010. Perth, Australia. October 2010:273-8.
  • Candemir S, Jaeger S, Lin W, Xue Z, Antani SK, Thoma GR. Automatic heart localization and radiographic index computation in chest x-rays. Proc. SPIE. 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 978517. DOI: 10.1117/12.2217209.
  • Folio, L, Sigelman, J, Wang, Y, Lu, P, Antani SK, Jaeger S. Automatic Identification and Classification of Tuberculosis Findings on Chest Radiographs for Global Surveillance Programs [Abstract]. Annual Meeting of the American Roentgen Ray Society (ARRS)
  • Yao J, Antani S, Long LR, Thoma GR, Zhang Z. Automatic Medical Image Annotation and Retrieval Using SECC Proc CBMS 2006, June 2006, Salt Lake City, Utah; 105-10
  • Mougin F, Burgun A, Bodenreider O, Chabalier J, Loreal O, Le Beux P. Automatic Methods for Integrating Biomedical Data Sources in a Mediator-Based System Proc DILS 2008. Berlin Heidelberg New York: Springer; 2008. p. 61-76
  • Xue Z, Antani SK, Long LR, Thoma GR. Automatic multi-label annotation of abdominal CT images using CBIR. Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 1013807 (March 13, 2017); doi:10.1117/12.2254368.
  • KC S, Vajda S, Antani SK, Thoma GR. Automatic Pulmonary Abnormality Screening using Thoracic Edge Map. IEEE, 28th International Symposium on Computer-Based Medical Systems (CBMS), pp. 360-361, 2015.
  • Jaeger S, Karargyris A, Antani SK, Thoma GR. Automatic Screening For Lung Diseases In Chest Radiographs: a Global Health Initiative [Poster].. NIH Research Festival. October 2012.
  • Jaeger S, Karargyris A, Candemir S, Siegelman J, Folio L, Antani S, Thoma G. Automatic screening for tuberculosis in chest radiographs: a survey. Quant Imaging Med Surg. 2013 Apr;3(2):89-99. doi: 10.3978/j.issn.2223-4292.2013.04.03.
  • Jaeger S, Karargyris A, Candemir S, Folio L, Siegelman J, Callaghan FM, Xue Z, Palaniappan K, Singh RK, Antani SK, Thoma GR, Wang Y, Lu P, McDonald CJ. Automatic tuberculosis screening using chest radiographs. IEEE Trans Med Imaging. 2014 Feb;33(2):233-45. doi: 10.1109/TMI.2013.2284099. Epub 2013 Oct 1.
  • Antani SK. Automatic x-ray screening for tuberculosis. SPIE Newsroom. October 2015. DOI: 10.1117/2.1201509.006128
  • Demner-Fushman D, Karpinski J, Thoma GR. Automatically building a repository to support evidence-based practice. Proceedings of the 2nd Workshop on Building and evaluating resources for biomedical text mining (BioTxtM 2010), 7th Language Resources and Evaluation Conference (LREC 2010). Valetta, Malta. May 2010.
  • KC S, Candemir S, Jaeger S, Folio L, Karargyris A, Antani SK, Thoma GR. Automatically detecting rotation in chest radiographs using principal rib-orientation measure for quality control. Int. J. Patt. Recogn. Artif. Intell, Vol 29 No. 2. DOI: 10.1142/S021800141.5570013
  • Demner-Fushman D, Antani S, Thoma GR. Automatically Finding Images for Clinical Decision Support Proc of IEEE DM-Med 2007. Omaha, NE, October 2007, pp. 139-144
  • Zhu Y, Huang X, Wang W, Lopresti D, Long LR, Antani SA, Xue Z, Thoma GR. Balancing the Role of Priors in Multi-Observer Segmentation Evaluation J Signal Process Syst. 2008 May 28;55(1-3):185-207
  • Mao S, Thoma G. Bayesian Learning of 2D Document Layout Models for Automated Preservation Metadata Extraction Proc. of the Fourth IASTED International Conference on Visualization, Imaging, and Image Processing (VIIP). 2004 Sept.;:329-34.
  • Fung K, Scichilone R, Giannangelo K. Benefits and Use Cases of a SNOMED CT to ICD-10 Map. AMIA Annu Symp Proc 2010: 1049.
  • Bodenreider O, Stevens R. Bio-ontologies: Current Trends and Future Directions Brief Bioinform. 2006 Sep;7(3):256-74. Epub 2006 Aug 9
  • Kilicoglu H, Demner-Fushman D. Bio-SCoRes: A Smorgasbord Architecture for Coreference Resolution in Biomedical Text. PLoS One. 2016 Mar 2;11(3):e0148538. doi: 10.1371/journal.pone.0148538. eCollection 2016.
  • Rahman MM, Antani SK, Demner-Fushman D, Thoma GR. Biomedical image representation approach using visualness and spatial information in a concept feature space for interactive region-of-interest-based retrieval. J Med Imaging (Bellingham). 2015 Oct;2(4):046502. doi: 10.1117/1.JMI.2.4.046502. Epub 2015 Dec 30.
  • Long LR, Antani S, Lee DJ, Krainak DM, Thoma GR. Biomedical Information from a National Collection of Spine X-Rays: Film to Content-Based Retrieval Proc. of SPIE Medical Imaging: PACS and Integrated Medical Information Systems. 2003 Feb;5033: 70-84.
  • Bodenreider O, Mitchell JA, McCray AT. Biomedical Ontologies Pacific Symposium on Biocomputing: World Scientific. 2003;:562-564.
  • Bodenreider O. Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support. Geissbuhler A, Kulikowski C, editors. IMIA Yearbook of Medical Informatics 2008. Methods Inf Med, 2008. 47(Suppl 1): p. 67-79.
  • Xue Z, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Body Segment Classification for Visible Human Cross Section Slices. IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS), New York, NY, May 2014: pp. 199-204
  • Antani S, Long LR, Thoma GR. Bridging the Gap: Enabling CBIR in Medical Applications Proc IEEE CBMS. Jyvaskyla, Finland. June 2008:4-6
  • Bodenreider O, Peters L, Nguyen T. Browser and application programming interfaces for drug information sources. AMIA Annu Symp Proc, 2011: p. 2129.
  • Campbell JR, Xu J, Fung K. Can SNOMED CT fulfill the vision of a compositional terminology? Analyzing the use case for problem list. AMIA Annu Symp Proc. 2011;2011:181-8. Epub 2011 Oct 22.
  • Karargyris A, Koulaouzidis A. Capsule-odometer: a concept to improve accurate lesion localisation. World J Gastroenterol. 2013 Sep 21;19(35):5943-6. doi: 10.3748/wjg.v19.i35.5943.
  • Kury F, Baik SH, McDonald CJ. Cardioprotective Drugs and Incident Dementias in Medicare's Big Data. AMIA 2017.
  • Yang F, Quizon N, Silamut K, Maude RJ, Jaeger S, Antani SK. Cascading YOLO: Automated Malaria Parasite Detection for Plasmodium Vivax in Thin Blood Smears. To be presented at SPIE Medical Imaging, Feb.18-20, 2020, Houston, USA.
  • Chang Y, Antani S, Lee DJ, Gledhill K, Long LR, Christensen P. CBIR of Spine X-ray Images on Inter-vertebral Disc Space and Shape Profiles Proc IEEE CBMS. Jyvaskyla, Finland. June 2008:224-9.
  • Srinivasan Y, Nutter BS, Mitra SD, Yang S, Phillips B, Long LR. Challenges in Automated Detection of Cervical Intraepithelial Neoplasia Proc SPIE Medical Imaging 2007. Vol. 6514: 65140F-1-11
  • Bodenreider O, Burgun A. Characterizing the Definitions of Anatomical Concepts in WordNet and Specialized Sources Proc. of the First Global WordNet Conference. 2002;:223-230.
  • Xue Z, You D, Candemir S, Jaeger S, Antani SK, Long LR, Thoma GR. Chest X-ray Image View Classification The 28th IEEE International Symposium on Computer-Based Medical Systems
  • Candemir S. Chest X-ray Screening System: Segmentation Module – v3
  • Zohora FT, Antani SK, Santosh KC. Circle-like foreign element detection in chest x-rays using normalized cross-correlation and unsupervised clustering. Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 105741V (2 March 2018); doi: 10.1117/12.2293739; doi.org/10.1117/12.2293739.
  • Bodenreider O. Circular hierarchical relationships in the UMLS: etiology, diagnosis, treatment, complications and prevention. Proc AMIA Symp. 2001:57-61.
  • Bergun A, Bodenreider O, Mougin F. Classifying diseases with respect to anatomy: a study in SNOMED CT AMIA Annu Symp Proc. 2005:91-5
  • Zheng Q, Lu Y, Lure F, Jaeger S, Lu P. Clinical and radiological features of novel coronavirus pneumonia. Journal of X-Ray Science and Technology, vol. 28, no. 3, pp. 391-404, 2020.
  • Lussier YA, Bodenreider O. Clinical Ontologies for Discovery Applications In: Baker CJO, Cheung K-H, editors. Semantic Web: Revolutionizing knowledge discovery in the life sciences. New York: Springer; 2007. p. 101-119.
  • Liang Z, Powell A, Ersoy I, Poostchi M, Silamut K, Palaniappan K, Guo P, Hossain M, Antani SK, Maude R, Huang J, Jaeger S, Thoma GR. CNN-Based Image Analysis for Malaria Diagnosis. IEEE International Conference on Bioinformatics & Biomedicine (BIBM), Shenzhen, China, 2016.
  • Karargyris A, Siegelman J, Tzortzis D, Jaeger S, Candemir S, Xue Z, KC S, Vajda S, Antani SK, Folio L, Thoma GR. Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays. Int J Comput Assist Radiol Surg. 2016 Jan;11(1):99-106. doi: 10.1007/s11548-015-1242-x. Epub 2015 Jun 20.
  • Zhang X, Zou J, Le DX, Thoma GR. Combining Discriminative SVM models for the Improved Recognition of Investigator Names in Medical Articles. Proceedings of SPIE Volume 8658, Document Recognition and Retrieval XX, IS&T/SPIE Electronic Imaging 2013.
  • Demner-Fushman D, Antani SK, Simpson M, Thoma GR. Combining Medical Domain Ontological Knowledge and Low-level Image Features for Multimedia Indexing Procf OntoImage 2008, part of LREC 2008. Marrakech, Morrocco. May 2008:CDROM Proceedings
  • Fiszman M, Bray B, Shin D, Kilicoglu H, Bennett GC, Bodenreider O, Rindflesch TC. Combining relevance assignment with quality of the evidence to support guideline development. Stud Health Technol Inform. 2010;160(Pt 1):709-13.
  • Mao S, Mansukhani P, Thoma GR. Combining Static Classifiers and Class Syntax Models for Logical Entity Recognition in Scanned Historical Documents Proc IEEE CVPR, Minneapolis, Minnesota, June 2007, pp. 1-8.
  • Bodenreider O. Comment les Usagers Accedent a l'Information Medicale Aux USA: l'Exemple de MEDLINEplus [How Consumers Access Health Information in the USA: The MEDLINEplus Example] Innovation et Technologie en Biologie et Medecine. 2000;21(5):286-90.
  • McDonald CJ, Vreeman DJ, Abhyankar S. Comment on "time to integrate clinical and research informatics" [Letter]. Sci Transl Med. 2013 Apr 3;5(179):179le1. doi: 10.1126/scitranslmed.3005700.
  • Xue Z, Antani SK, Long LR, Thoma GR. Comparative Performance Analysis of Cervix ROI Extraction and Specular Reflection Removal Algorithms for Uterine Cervix Image Analysis Proc SPIE Medical Imaging 2007. Vol. 6512: 65124I-1-9
  • Zhang S, Bodenreider O. Comparing Associative Relationships Among Equivalent Concepts Across Ontologies MedInfo. 2004 Sept.;2004: 459-463.
  • Sornapudi S, Brown G, Xue Z, Long LR, Allen L, Antani SK. Comparing Deep Learning Models for Multi-cell Classification in Liquid- based Cervical Cytology Image. AMIA Annu Symp Proc. 2019; 2019: 820–827.
  • Rajaraman S, Antani SK, Candemir S, Xue Z, Abuya J, Kohli M, Alderson P, Thoma GR. Comparing deep learning models for population screening using chest radiography. Proc. SPIE 10575, Medical Imaging 2018: Computer-Aided Diagnosis, 105751E (27 February 2018).
  • Mougin F, Burgun A, Bodenreider O. Comparing Drug-class Membership in ATC and NDF-RT Proc IHI 2012 2012:437-443
  • Geller J, Morrey CP, Xu J, Halper M, Elhanan G, Perl Y, Hripcsak G. Comparing inconsistent relationship configurations indicating UMLS errors. AMIA Annu Symp Proc. 2009 Nov 14;2009:193-7.
  • Bodenreider O. Comparing SNOMED CT and the NCI Thesaurus through Semantic Web Technologies Proc. KR-MED 2008
  • Burgun A, Bodenreider O. Comparing Terms, Concepts and Semantic Classes in WordNet and the Unified Medical Language System Proc. of the NAACL'2001 Workshop; WordNet and Other Lexical Resources: Applications, Extensions and Customizations. 2001;:77-82.
  • Karargyris A, Folio L, Siegelman J, Callaghan FM, Candemir S, Xue Z, Lu P-X, Wang Y, Antani SK, Thoma GR, Jaeger S. Comparing the Performance of Man and Machine for TB Screening in Chest Radiographs [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
  • Bodenreider O, Zhang S. Comparing the Representation of Anatomy in the FMA and SNOMED CT AMIA Annu Symp Proc. 2006:46-50
  • Zheng S, Mork P, Bodenreider O, Bernstein PA. Comparing Two Approaches for Aligning Representations of Anatomy Artif Intell Med. 2007 Mar;39(3):227-36. Epub 2007 Jan 23
  • Mougin F, Bodenreider O. Comparing Two Approaches to Eliminating Cycles in Terminological Systems Proc RFIA 2006
  • Fung K, Kayaalp M, Callaghan FM, McDonald CJ. Comparison of electronic pharmacy prescription records with manually collected medication histories in an emergency department. Ann Emerg Med. 2013 Sep;62(3):205-11. doi: 10.1016/j.annemergmed.2013.04.014. Epub 2013 May 18.
  • Fung K, Kapusnik-Uner J, Cunningham J, Higby-Baker S, Bodenreider O. Comparison of three commercial knowledge bases for detection of drug-drug interactions in clinical decision support. J Am Med Inform Assoc. 2017 Jul 1;24(4):806-812. doi: 10.1093/jamia/ocx010.
  • Wei D, Wang Y, Perl Y, Xu J, Halper M, Spackman KA. Complexity measures to track the evolution of a SNOMED hierarchy. AMIA Annu Symp Proc. 2008 Nov 6:778-82.
  • Thamizhvani TR, Lakshmanan S, Rajaraman S. Computer Aided Diagnosis of Skin Tumours from Dermal Images. Hemanth D., Smys S. (eds) Computational Vision and Bio Inspired Computing. Lecture Notes in Computational Vision and Biomechanics, vol 28. Springer, Cham
  • Long LR, Thoma GR. Computer-Assisted Retrieval of Biomedical Image Features from Spine X-Rays: Progress and Prospects Proceeding of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS). 2001 Jul;:46-50.
  • Kilicoglu H, Peng Z, Tafreshi S, Tran T, Rosemblat G, Schneider J. Confirm or Refute?: A Comparative Study on Citation Sentiment Classification in Clinical Research Publications. J Biomed Inform. 2019 Feb 9:103123. doi: 10.1016/j.jbi.2019.103123.
  • Gordon S, Zimmerman G, Long LR, Antani S, Jeronimo J, Greenspan H. Content Analysis of Uterine Cervix Images: Initial Steps Towards Content Based Indexing and Retrieval of Cervigrams Proc of SPIE Vol. 6144 61444U-7
  • De Herrera A, Long LR, Antani SK. Content-Based fMRI Brain Maps Retrieval. International Conference on Brain and Health Informatics, Omaha, NE, USA, October 13-16, 2016.
  • Antani S, Long R, Thoma GR. Content-Based Image Retrieval for Large Biomedical Image Archives Medinfo. 2004 Sept.;2004: 829-833.
  • Long LR, Antani SK, Deserno TM, Thoma GR. Content-based Image Retrieval in Medicine: Retrospective Assessment, State of the Art, and Future Directions Int J Healthc Inf Syst Inform. 2009 Jan 1;4(1):1-16
  • Deserno TM, Long LR, Greenspan H. Content-based Image Retrieval: Major Challenges for Biomedical Applications Intl Journal of Healthcare Information Systems and Informatics. January 2009;4(1):i-iii
  • De Herrera A, Long LR, Antani SK. Content–based fMRI activation maps retrieval [Poster]. BIH 2016: Brain Informatics and Health pp 173-180, October 13-16, 2016.
  • Demner-Fushman D, Seckman C, Fisher C, Thoma GR. Continual development of a personalized decision support system. Stud Health Technol Inform. 2013;192:175-9.
  • Almubarak HA, Stanley RJ, Long LR, Antani SK, Thoma GR, Zuna R, Frazier SR. Convolutional Neural Network Based Localized Classification of Uterine Cervical Cancer Digital Histology Images. Procedia Computer Science, Volume 114, 2017, Pages 281-287, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2017.09.044.
  • Winnenburg R, Bodenreider O. Coverage of phenotypes in standard terminologies. Joint Bio-Ontologies and BioLINK ISMB'2014 SIG session "Phenotype Day" 2014:41-44. 
  • Fung KW, Richesson R, Bodenreider O. Coverage of rare disease names in standard terminologies and implications for patients, providers, and research. AMIA Annu Symp Proc. 2014 Nov 14;2014:564-72. eCollection 2014.
  • Guo P, Xue Z, Long LR, Antani SK. Cross-Dataset Evaluation of Deep Learning Networks for Uterine Cervix Segmentation. Diagnostics (Basel). 2020 Jan 14;10(1). pii: E44. doi: 10.3390/diagnostics10010044.
  • Xu X, Lee DJ, Antani S, Long LR. Curve Matching for Spine X-ray Image Retrieval Using Dynamic Programming Proc. 8th World Multiconference on Systemics, Cybernetics and Informatics. 2004 Jul.;12:172-6.
  • Tezmol A, Sari-Sarraf H, Mitra S, Long R, Gururajan A. Customized Hough Transform for Robust Segmentation of Cervical Vertebrae from X-Ray Images SSIAI. 2002;: 224-228.
  • Mougin F, Burgun A, Bodenreider O. Data Integration Through Data Elements: Mapping Data Elements to Terminological Resources BMC Bioinformatics. 2006 Nov 24;7 Suppl 3:S6.
  • McDonald CJ, Abhyankar S, Taft L. Dataset: common units of measure - subset of the Unified Code for Units of Measure.
  • Fung KW. Dataset: CORE problem list of SNOMED CT.
  • Fung KW. Dataset: ICD-9-CM to SNOMED CT Map
  • Abhyankar S, Goodwin RM, Zuckerman AE, McDonald CJ. Dataset: newborn screening LOINC codes (AHIC panel).
  • Abhyankar S, Goodwin RM, Zuckerman AE, McDonald CJ. Dataset: Newborn screening LOINC panel.
  • Abhyankar S, Goodwin RM, Zuckerman A, McDonald CJ. Dataset: newborn screening results annotated example HL7 electronic message guidance (v 5.2).
  • Fung KW. Dataset: Nursing Problem List Subset of SNOMED CT
  • Fung KW. Dataset: SNOMED CT route of administration subset.
  • Fung K. Dataset: SNOMED CT to ICD-10 Cross Map
  • Fung K. Dataset: SNOMED CT to ICD-10-CM Map
  • Botti G, Bodenreider O, Burgun A, Le Beux P, Fieschi M. De la Classification à la Connaissance des Maladies: Une Réflexion à Partir de la Classification Internationale des Maladies [From Classification to Knowledge About Diseases: Thoughts about the International Classification of Diseases] Innovation et Technologie en Biologie et Médecine. 2000;21(5):291-97.
  • Guo P, Singh S, Xue Z, Long LR, Antani SK. Deep Learning for Assessing Image Focus for Automated Cervical Cancer Screening. 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) DOI: 10.1109/BHI.2019.8834495.
  • Candemir S, Rajaraman S, Thoma GR, Antani SK. Deep Learning for Grading Cardiomegaly Severity in Chest X-rays: An Investigation. Proc. IEEE Life Sciences Conference (LSC 2018), Montreal, Quebec, Canada, 28 – 30 October 2018. pp. 109-113.
  • Zou J, Xue Z, Brown G, Long LR, Antani SK. Deep learning for nuclei segmentation and cell classification in cervical liquid based cytology. Proc. SPIE 11318, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications, 1131811 (2 March 2020); doi: 10.1117/12.2549547
  • Yang F, Poostchi M, Yu H, Zhou Z, Silamut K, Yu J, Maude RJ, Jaeger S, Antani SK. Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears. IEEE J Biomed Health Inform. 2019 Sep 23. doi: 10.1109/JBHI.2019.2939121.
  • Sornapudi S, Stanley RJ, Stoecker WV, Almubarak H, Long LR, Antani SK, Thoma GR, Zuna R, Frazier SR. Deep Learning Nuclei Detection in Digitized Histology Images by Superpixels. J Pathol Inform. 2018 Mar 5;9:5. doi: 10.4103/jpi.jpi_74_17. eCollection 2018.
  • Fung K, Gutierrez A, Ameye F, D’Have A, Ariel B. Demonstrating the Benefits of Mapping SNOMED CT to ICD-10-PCS through a Prototype Application for End User Implementation. SNOMED Expo Oct 2017, Bratislava, Slovakia pp. 0
  • Winnenburg R, Bodenreider O. Desiderata for an authoritative Representation of MeSH in RDF. AMIA Annu Symp Proc. 2014 Nov 14;2014:1218-27. eCollection 2014.
  • Kury F, Bodenreider O. Desiderata for drug classification systems for their use in analyzing large drug prescription datasets. Proceedings of the 3rd Workshop on Data Mining for Medical Informatics (DMMI 2016), 2016.
  • Lee D, Antani SK, Xu X, Long LR. Design and Evaluation of a Curve Matching-based Spine X-ray Image Retrieval System SPIE Medical Imaging, February 2005; San Diego, CA; vol. 5748:365-373
  • Zeng K, Bodenreider O, Nelson SJ. Design and Implementation of a Personal Medication Record - MyMedicationList AMIA Annu Symp Proc. 2008 Nov 6:844-8
  • Moallem G, Sari-Sarraf H, Poostchi M, Maude RJ, Silamut K, Hossain MA, Antani SK, Jaeger S, Thoma G. Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears. Proc. SPIE 10581, Medical Imaging 2018:Digital Pathology, 105811F (6 March 2018); doi: 10.1117/12.2293762.
  • Moallem G, Poostchi M, Yu H, Palaniappan N, Silamut K, Maude RJ, Hossain Md Amir, Jaeger S, Antani SK, Thoma GR. Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears [Poster]. Annual Meeting of the American Society of Tropical Medicine & Hygiene (ASTMH), Poster, 2017
  • Jaeger S, Juarez-Espinosa O, Candemir S, Poostchi Mohammadabadi M, Yang F, Kim L, Ding M, Folio L, Antani SK, Gabrielian A, Hurt D, Rosenthal A, Thoma GR. Detecting drug-resistant tuberculosis in chest radiographs International Journal of Computer Assisted Radiology and Surgery https://doi.org/10.1007/s11548-018-1857-9
  • Jaeger S, Juarez-Espinosa OH, Candemir S, Poostchi M, Yang F, Kim L, Ding M, Folio LR, Antani SK, Gabrielian A, Hurt D, Rosenthal A, Thoma GR. Detecting drug-resistant tuberculosis in chest radiographs. Int J Comput Assist Radiol Surg. 2018 Dec;13(12):1915-1925. doi: 10.1007/s11548-018-1857-9. Epub 2018 Oct 3.
  • Jaeger S, Karargyris A, Antani SK, Thoma GR. Detecting tuberculosis in radiographs using combined lung masks. 34th Int. Conf. of the IEEE Engineering in Medicine & Biology Society (EMBC). San Diego, CA. August 2012:4978-4981. doi: 10.1109/EMBC.2012.6347110.
  • Rajaraman S, Kim I, Antani SK. Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles. PeerJ 8:e8693 https://doi.org/10.7717/peerj.8693
  • Antani SK, Natarajan M, Long JL, Long RL, Thoma GR. Developing a Comprehensive System for Content-based Image Retrieval of Image and Text from a National Survey SPIE Medical Imaging, February 2005; San Diego, CA; vol. 5748:152-161.
  • Madani S, Henderson J, Fung K. Development of an oncology subset of SNOMED CT based on patient notes. AMIA Annu Symp Proc 2016: 91-92.
  • Jeronimo J, Long R, Neve L, Bopf M, Antani K, Schiffman M. Digital Tools for Collecting Data from Cervigrams for Research and Training in Colposcopy J Low Genit Tract Dis. 2006 Jan;10(1):16-25.
  • Bodenreider O. Disease Ontologies In: Dubitzky W, Wolkenhauer O, Cho K-H, Yokota H, editors. Encyclopedia of Systems Biology: Springer; 2013. p. 578-581.
  • Peters L, Nguyen T, Bodenreider O. Displaying drug classes in RxNav [Poster]. AMIA Annu Symp Proc, 2013: p. 1134.
  • He L, Long LR, Antani S, Thoma GR. Distribution Fitting-based Pixel Labeling For Histology Image Segmentation Proceedings of SPIE Medical Imaging 2011. February 2011
  • You D, Antani SK, Demner-Fushman D, Thoma GR. Does figure-text improve biomedical image retrieval [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
  • Nguyen V, Bodenreider O, Sheth AP. Don't Like RDF Reification? Making Statements about Statements Using Singleton Property. Proc Int World Wide Web Conf. 2014 Apr 11;2014:759-770.
  • Kamalakannan S, Gururajan A, Sari-Sarraf H, Long LR, Antani SK. Double-edge detection of radiographic lumbar vertebrae images using pressurized open DGVF snakes. IEEE Trans Biomed Eng. 2010 Jun;57(6):1325-34. doi: 10.1109/TBME.2010.2040082. Epub 2010 Feb 17.
  • Bodenreider O, Winnenburg R. Drug Terminology and Ontology Integration -- Dissemination, Quality Assurance and Applications. September 2014 Technical Report to the LHNCBC Board of Scientific Counselors.
  • Alzamzmi GA, Hsu L, Li W, Sachdev V, Antani SK. Echo Doppler Flow Classification and Goodness Assessment with Convolutional Neural Networks. 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), Boca Raton, FL, USA, 2019, pp. 1744-1749, doi: 10.1109/ICMLA.2019.00283
  • KC S, Vajda S, Antani S, Thoma GR. Edge map analysis in chest X-rays for automatic pulmonary abnormality screening. Int J Comput Assist Radiol Surg. 2016 Sep;11(9):1637-46. doi: 10.1007/s11548-016-1359-6. Epub 2016 Mar 19.
  • Bahr NJ, Nelson SD, Winnenburg R, Bodenreider O. Eliciting the Intension of Drug Value Sets - Principles and Quality Assurance Applications. Stud Health Technol Inform. 2017;245:843-847.
  • Peters L, Mortensen J, Nguyen T, Bodenreider O. Enabling complex queries to drug information sources through functional composition. Stud Health Technol Inform. 2013;192:692-6.
  • Guo P, Almubarak H, Banerjee K, Stanley RJ, Long LR, Antani SK, Thoma GR, Zuna R, Frazier S, Moss R, Stoecker W. Enhancements in localized classification for uterine cervical cancer digital histology image assessment. J Pathol Inform. 2016 Dec 30;7:51. doi: 10.4103/2153-3539.197193. eCollection 2016.
  • Vizenor L, Bodenreider O, Peters L, McCray AT. Enhancing Biomedical Ontologies through Alignment of Semantic Relationships: Exploratory Approaches AMIA Annu Symp Proc. 2006:804-8.
  • Roberts K, Cahan A, Demner-Fushman D. Error Propagation in EHRs via Copy/Paste: An Analysis of Relative Dates [Poster]. Proceedings of the American Medical Informatics Association Fall Symposium (AMIA), Washington, D.C., Nov 15-19, 2014.
  • Zamora G, Sari-Sarraf H, Mitra S, Long LR. Estimation of Orientation and Position of Cervical Vertebrae for Segmentation with Active Shape Models Proc. SPIE Medical Imaging: Image Processing. 2001 Feb;4322:378-87.
  • Peters LB, Bahr N, Bodenreider O. Evaluating drug-drug interaction information in NDF-RT and DrugBank. J Biomed Semantics. 2015 May 11;6:19. doi: 10.1186/s13326-015-0018-0. eCollection 2015.
  • Shou J, Antani S, Long LR, Thoma GR. Evaluating Partial Shape Queries for Pathology-Based Retrieval of Verterbra Proc. 8th World Multiconference on Systemics, Cybernetics and Informatics. 2004 Jul.;12:155-60.
  • Winnenburg R, Bodenreider O. Evaluating the consistency of inferred drug-class membership relations in NDF-RT. Proc 17th ISMB'2014 SIG meeting "Bio-Ontologies" 2014
  • Baik SH, Hernandez I, Zhang Y. Evaluating the Initiation of Novel Oral Anticoagulants in Medicare Beneficiaries. J Manag Care Spec Pharm. 2016 Mar;22(3):281-92. doi: 10.18553/jmcp.2016.22.3.281.
  • Bodenreider O. Evaluating the Quality and Interoperability of Biomedical Terminologies Technical Report to the LHNCBC Board of Scientific Counselors April 2018
  • McCray AT, Bodenreider O, Malley JD, Browne AC. Evaluating UMLS Strings for Natural Language Processing AMIA Annu Symp Proc. 2001;():448-52.
  • Karargyris A, Rondonotti E, Mandelli G, Koulaouzidis A. Evaluation of 4 three-dimensional representation algorithms in capsule endoscopy images. World J Gastroenterol. 2013 Nov 28;19(44):8028-33. doi: 10.3748/wjg.v19.i44.8028.
  • Edinger T, Demner-Fushman D, Cohen AM, Bedrick S, Hersh W. Evaluation of Clinical Text Segmentation to Facilitate Cohort Retrieval. AMIA Annu Symp Proc. 2018 Apr 16;2017:660-669. eCollection 2017.
  • Jeronimo J, Wentzensen N, Long R, Schiffman M, Dunst ST, Allen RA, Walker JL, Gold MA, Zuna RE, Sherman ME, Wacholder S, Wang SS. Evaluation of Linear Array Human Papillomavirus Genotyping Using Automatic Optical Imaging Software J Clin Microbiol. 2008 Aug;46(8):2759-65. Epub 2008 Jun 11
  • Huang X, Lin J, Demner-Fushman D. Evaluation of PICO as a knowledge representation for clinical questions AMIA Annu Symp Proc. 2006:359-63.
  • Antani S, Long LR, Lee DJ, Thoma GR. Evaluation of Shape Indexing Methods for Content-Based Retrieval of X-Ray Images Proceedings of IS&T/SPIE Electronic Imaging Science and Technology, Storage and Retrieval for Media Databases. 2003 Jan; 5021: 405-16.
  • Gordon S, Lotenberg S, Long LR, Antani SK, Jeronimo J, Greenspan H. Evaluation of uterine cervix segmentations using ground truth from multiple experts. Comput Med Imaging Graph. 2009 Apr;33(3):205-16. doi: 10.1016/j.compmedimag.2008.12.002. Epub 2009 Feb 13.
  • Bodenreider O, Burgun A, Mitchell JA. Evaluation of WordNet as a Source of Lay Knowledge for Molecular Biology and Genetic Diseases: A Feasibility Study Stud Health Technol Inform. 2003;95:379-84.
  • Chen Y, Gu H, Perl Y, Halper M, Xu J. Expanding the extent of a UMLS semantic type via group neighborhood auditing. J Am Med Inform Assoc. 2009 Sep-Oct;16(5):746-57. doi: 10.1197/jamia.M2951. Epub 2009 Jun 30.
  • Scarton LA, Wang L, Kilicoglu H, Jahries M, Del Fiol M. Expanding vocabularies for complementary and alternative medicine therapies. Int J Med Inform. 2019 Jan;121:64-74. doi: 10.1016/j.ijmedinf.2018.11.009. Epub 2018 Nov 22.
  • Zhang S, Bodenreider O. Experience in Aligning Anatomical Ontologies Int J Semant Web Inf Syst. 2007;3(2):1-26
  • Zeng K, Bodenreider O. Experience in Integrating Large RDF-based Biomedical Knowledge Resources with Oracle [Abstract]. Proc 8th International Oracle Life Sciences User Group Meeting 2007:(electronic proceedings: http://www.olsug.org/wiki/images/d/d1/Kelly_Zheng.pdf)
  • Zhang S, Bodenreider O, Golbreich C. Experience in Reasoning with the Foundational Model of Anatomy in OWL DL Pac Symp Biocomput. 2006:200-11
  • Bodenreider O. Experiences in Visualizing and Navigating Biomedical Ontologies and Knowledge Bases Proc. of the ISMB'SIG meeting; Bio-ontologies. 2002;:29-32.
  • Erdogan H, Erdem E, Bodenreider O. Exploiting UMLS semantics for checking semantic consistency among UMLS concepts. Stud Health Technol Inform. 2010;160(Pt 1):749-53.
  • Deserno TM, Antani SK, Long LR. Exploring Access to Scientific Literature Using Content-Based Image Retrieval Proc SPIE Medical Imaging 2007. Vol. 6516: 65160L-1-8.
  • Bodenreider O, Pakhomov S. Exploring Adjectival Modification in Biomedical Discourse Across Two Genres Proc. of the ACL, 2003 Workshop, Natural Language Processing in Biomedicine. 2003;:105-112.
  • Winnenburg R, Sorbello A, Bodenreider O. Exploring adverse drug events at the class level. J Biomed Semantics. 2015 May 1;6:18. doi: 10.1186/s13326-015-0017-1. eCollection 2015.
  • Zeng QT, Tse T. Exploring and Developing Consumer Health Vocabularies J Am Med Inform Assoc. 2006 Jan-Feb;13(1):24-9. Epub 2005 Oct 12
  • Rance B, Demner-Fushman D, Rindflesch TC, Bodenreider O. Exploring Automatic Approaches to Extracting Pharmacogenomic Information from the Biomedical Literature Proceedings of the 2011 PSB Workshop on Mining the Pharmacogenomics Literature 2011
  • Winnenburg R, Bodenreider O. Exploring pharmacoepidemiologic groupings of drugs from a clinical perspective. Stud Health Technol Inform. 2013;192:827-31.
  • Bodenreider O, McCray AT. Exploring Semantic Groups Through Visual Approaches J Biomed Inform. 2003 Dec;36(6):414-432.
  • Antani SK, Demner-Fushman D, Li J, Srinivasan BV, Thoma GR. Exploring Use of Images in Clinical Articles for Decision Support in Evidence-Based Medicine Proc. SPIE-IS/T Electronic Imaging. San Jose, CA. January 2008;6815:68150Q(1-10)
  • Fu GE, Bolton NQ, Rosinach LI, Furlong V, Nguyen AP, Sheth O, Bodenreider O, Dumontier M. Exposing provenance metadata using different RDF models. Proceedings of the International Conference on Semantic Web Applications and Tools for Life Sciences (SWAT4LS 2015), 2015: p. (electronic proceedings: http://www.swat4ls.org/wp-content/uploads/2015/10/SWAT4LS_2015_paper_11.pdf).
  • Dhombres F, Winnenburg R, Case JT, Bodenreider O. Extending the coverage of phenotypes in SNOMED CT through post-coordination. Stud Health Technol Inform. 2015;216:795-9.
  • Fung KW, Jao CS, Demner-Fushman D. Extracting drug indication information from structured product labels using natural language processing. J Am Med Inform Assoc. 2013 May 1;20(3):482-8. doi: 10.1136/amiajnl-2012-001291. Epub 2013 Mar 9.
  • Demner-Fushman D, Abhyankar S, Callaghan FM, McDonald CJ. Extracting sources of admission and discharge destinations from discharge summaries [Poster]. AMIA 2011 Fall Symposium.
  • Zhu VJ, Fung K. Extraction and Comparison of Drug Class Information From Standard Terminologies. AMIA Annu Symp Proc. November 2010:1327.
  • Xue Z, Long LR, Jaeger S, Folio L, Thoma GR. Extraction of Aortic Knuckle Contour in Chest Radiographs Using Deep Learning. EMBC 2018.
  • Xue Z, You D, Chachra S, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Extraction of endoscopic images for biomedical figure classification. Proc. SPIE. 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 94180P. (March 17, 2015) doi: 10.1117/12.2081033.
  • Crandall D, Antani S, Kasturi R. Extraction of Special Effects Caption Text Events from Digital Video International Journal of Document Analysis and Recognition. 2003;5(2-3):138-57.
  • Borovikov E, Bonifant MC, Lingappa G, Gill MJ, Thoma GR. FaceMatch: a visual search system for family reunification during disasters [Poster]. NIH Research Festival, September 2016
  • Borovikov E, Vajda S. FaceMatch: real-world face image retrieval. In: Santosh K., Hangarge M., Bevilacqua V., Negi A. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2016. Communications in Computer and Information Science, vol 709. Springer, Singapore. 405-419.
  • Bryant B, Sari-Sarraf H, Wachtel M, Long LR, Antani SK. Fast GPU-based segmentation of H&E stained squamous epithelium from multi-gigapixel tiled virtual slides [Poster]. Proc. SPIE 8676, Medical Imaging 2013: Digital Pathology, 86760X (March 29, 2013); doi:10.1117/12.2007800
  • Bekhuis T, Tseytlin E, Mitchell KJ, Demner-Fushman D. Feature engineering and a proposed decision-support system for systematic reviewers of medical evidence. PLoS One. 2014 Jan 27;9(1):e86277. doi: 10.1371/journal.pone.0086277. eCollection 2014.
  • Vajda S, Karargyris A, Jaeger S, Santosh KC, Candemir S, Xue Z, Antani SK, Thoma GR. Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs. J Med Syst. 2018 Jun 29;42(8):146. doi: 10.1007/s10916-018-0991-9.
  • Guo P, Stanley RJ, De S, Long LR, Antani SK, Thoma GR, Demner-Fushman D, Sornapudia S. Features Advances to Automatically Find Images for Application to Clinical Decision Support. Medical Research Archives. 4(7) 2016. DOI: 10.18103/mra.v4i7.761
  • You D, Apostolova E, Antani SK, Demner-Fushman D, Thoma GR. Figure content analysis for improved biomedical article retrieval. Proceedings of IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States, Document Recognition and Retrieval XVI; 72470V (2009), 1-10; doi: 10.1117/12.805976
  • Demner-Fushman D, Humphrey SM, Ide NC, Loane RF, Ruch P, Ruiz ME, Smith LH, Tanabe LK, Wilbur WJ, Aronson AR. Finding Relevant Passages in Scientific Articles: Fusion of Automatic Approaches vs. an Interactive Team Effort. Proc TREC 2006, 569-76.
  • Rodriguez L, Demner-Fushman D. Finding Understudied Disorders Potentially Associated with Maternal Morbidity and Mortality. AJP Rep. 2019 Jan;9(1):e36-e43. doi: 10.1055/s-0039-1683363. Epub 2019 Mar 4.
  • Rance B, Le T, Bodenreider O. Fingerprinting Biomedical Terminologies--Automatic Classification and Visualization of Biomedical Vocabularies through UMLS Semantic Group Profiles. Stud Health Technol Inform. 2015;216:771-5.
  • Xue Z, Candemir S, Antani SK, Long LR, Jaeger S, Demner-Fushman D, Thoma GR. Foreign Object Detection in Chest X-rays. Proc IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2015, International Workshop on Biomedical and Health Informatics, Bethesda, Maryland, Nov. 9-12, 2015, pp: 56-61.
  • Schulz S, Balkanyi L, Cornet R, Bodenreider O. From concept representations to ontologies: a paradigm shift in health informatics? Healthc Inform Res. 2013 Dec;19(4):235-42. doi: 10.4258/hir.2013.19.4.235. Epub 2013 Dec 31.
  • Bodenreider O, Aubry M, Burgun A. From Functional Similarity Among Gene Products to Dependence Relations Among Gene Ontology Terms Proc SOFG, 2004:53.
  • Mitchell JA, McCray AT, Bodenreider O. From Phenotype to Genotype: Issues in Navigating the Available Information Resources Methods Inf Med. 2003;42(5):557-63.
  • Zweigenbaum P, Demner-Fushman D, Yu H, Cohen KB. Frontiers of biomedical text mining: current progress Brief Bioinform. 2007 Sep;8(5):358-75. Epub 2007 Oct 30.
  • Alzamzmi GA, Hsu L, Li W, Sachdev V, Antani SK. Fully automated spectral envelope and peak velocity detection from Doppler echocardiography images. Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 113144G (16 March 2020); https://doi.org/10.1117/12.2551183
  • Deserno TM, Antani SK, Long LR. Gaps in Content-Based Image Retrieval Proc SPIE Medical Imaging 2007. Vol. 6516: 65160J-1-11
  • Xue Z, Rajaraman S, Long LR, Antani SK, Thoma GR. Gender Detection from Spine X-ray Images Using Deep Learning. Proc. IEEE International Symposium on Computer-Based Medical Systems (CBMS), Karlstad, Sweden, 2018. pp. 54-58, DOI:10.1109/CBMS.2018.00017.
  • Wang H, Azuaje F, Bodenreider O, Dopazo J. Gene Expression Correlation and Gene Ontology-Based Similarity: An Assessment of Quantitative Relationships Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB'2004) 2004:25-31.
  • Azuaje FJ, Bodenreider O, Wang H, Dopazo J. Gene Ontology-Driven Similarity for Gene Expression Correlation Analysis Proceedings of the second conference on Standards and Ontologies for Functional Genomics (SOFG 2) 2004:47.
  • Sehgal AK, Srinivasan P, Bodenreider O. Gene Terms and English Words: An Ambiguous Mix Proc of the SIGIR 2004 Workshop on Search and Discovery in Bioinformatics 2004.
  • Cantor MN, Sarkar INK, Bodenreider O, Lussier YA. GenesTrace: Phenomic Knowledge Discovery Via Structured Terminologies Pac Symp Biocomput. 2005:103-14.
  • Sarkar IN, Cantor MN, Bodenreider O, Lussier YA. GenesTraceTM: Biological Knowledge Discovery via Structured Terminology MedInfo.
  • Antani SK, Deserno TM, Long LR, Thoma GR. Geographically Distributed Complementary Content-Based Image Retrieval Systems for Biomedical Image Informatics Stud Health Technol Inform. 2007;129(Pt 1):493-7
  • Tsaparas P, Marino-Ramirez L, Bodenreider O. Global Similarity and Local Divergence in Human and Mouse Gene Co-expression Networks BMC Evol Biol. 2006 Sep 12;6:70
  • Candemir S, Jaeger S, Palaniappan K, Antani SK, Thoma GR. Graph Cut Based Automatic Lung Boundary Detection in Chest Radiographs. 1st Annual IEEE Healthcare Innovation Conference of the IEEE EMBS Houston, Texas USA, 7 - 9 November, 2012.
  • de Herrera G, Long LR, Antani SK. Graph Representation for Content–based fMRI Activation Map Retrieval. Proceedings of 1st Life Sciences Conference, Sydney, Australia, December 2017 pp. 129-32 DOI: https://doi.org/10.1109/LSC.2017.8268160.
  • Bodenreider O, Mitchell JA. Graphical Visualization and Navigation of Genetic Disease Information AMIA Annu Symp Proc. 2003:792.
  • Xu J, Fung KW. Handling age specification in the SNOMED CT to ICD-10-CM cross-map. AMIA Annu Symp Proc. 2012;2012:1014-22. Epub 2012 Nov 3.
  • Alzamzmi GA, Hsu L, Li W, Sachdev V, Antani SK. Harnessing Machine Intelligence in Automatic Echocardiogram Analysis: Current Status, Limitations, and Future Directions. IEEE Reviews in Biomedical Engineering, doi: 10.1109/RBME.2020.2988295
  • Sorbello A, Ripple AM, Tonning J, Munoz M, Hasan R, Ly T, Francis H, Bodenreider O. Harnessing scientific literature reports for pharmacovigilance. Prototype software analytical tool development and usability testing. Appl Clin Inform. 2017 Mar 22;8(1):291-305. doi: 10.4338/ACI-2016-11-RA-0188.
  • Salekin S, Alzamzmi GA, Paul R, Goldgof D, Kasturi R, Ho T, Sun Y. Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound.
  • Richesson RL, Fung KW, Krischer JP. Heterogeneous but 'Standard' Coding Systems for Adverse Events: Issues in Achieving Interoperability Between Apples and Oranges Contemp Clin Trials. 2008 Sep;29(5):635-45. Epub 2008 Mar 5
  • Zamora G, Sari-Sarraf H, Long LR. Hierarchical Segmentation of Vertebrae from X-ray Images Proc. of SPIE Medical Imaging: Image Processing. 2003 Feb; 5032.
  • He L, Long LR, Antani SK, Thoma GR. Histology image analysis for carcinoma detection and grading. Comput Methods Programs Biomed. 2012 Sep;107(3):538-56. doi: 10.1016/j.cmpb.2011.12.007. Epub 2012 Mar 20.
  • Zhang S, Bodenreider O. Hybrid Alignment Strategy for Anatomical Ontologies Results of the 2007 Ontology Alignment Contest Proc OAEI 2007:139-149
  • Long LR, Thoma GR. Identification and Classification of Spine Vertebrae by Automated Methods Proc. SPIE Medical Imaging: Image Processing. 2001 Feb;:1478-89.
  • Srinivasan B, Antani S, Demner-Fushman D, Thoma GR. Identification and Segmentation of Multi-Panel Images in Biomedical Journal Articles [Poster]. Poster at 20th NIH Research Festival (BIOINFO-1), September 2007, National Institutes of Health
  • Mariño-Ramírez L, Tharakaraman K, Bodenreider O, Spounge J, Landsman D. Identification of cis-regulatory Elements in Gene Co-expression Networks Using A-GLAM. Methods Mol Biol. 2009;541:1-22.
  • Mougin F, Bodenreider O, Burgun A. Identifying anatomical concepts associated with ICD10 diseases. Proceedings of the 8th Conference on Terminology and Artificial Intelligence (TIA 2009), 2009: p. (electronic proceedings: http://www.irit.fr/TIA09/start_here.htm).
  • Zeng QT, Tse T, Crowell J, Divita G, Roth L, Browne AC. Identifying Consumer-Friendly Display (CFD) Names for Health Concepts AMIA Annu Symp Proc. 2005:859-63
  • Long LR, Krainak DM, Thoma GR. Identifying Image Structures for Content-Based Retrieval of Digitized Spine X-Rays Proc. of SPIE Medical Imaging: Image Processing. 2002 Feb; 4684.
  • Jao CS, Fung KW, Demner-Fushman D. Identifying indications for drugs in drug package inserts. AMIA Annual Symposium Proceedings 2010. November 2010
  • Bodenreider O. Identifying missing hierarchical relations in SNOMED CT from logical definitions based on the lexical features of concept names. Proceedings of the 6th International Conference on Biomedical Ontology (ICBO 2016), 2016: p. (electronic proceedings: http://ceur-ws.org/Vol-1747/IT601_ICBO2016.pdf).
  • Bodenreider O, Zweigenbaum P. Identifying Proper Names in Parallel Medical Terminologies Stud Health Technol Inform. 2000;77:443-7
  • Kury F, Cimino JJ. Identifying Repetitive Institutional Review Board Stipulations by Natural Language Processing and Network Analysis. Stud Health Technol Inform. 2015;216:579-83.
  • Zolnoori M, Fung K, Fontelo P, Kharrazi H, Faiola A, Wu YSS, Stoffel V, Patrick T. Identifying the Underlying Factors Associated With Patients' Attitudes Toward Antidepressants: Qualitative and Quantitative Analysis of Patient Drug Reviews. JMIR Ment Health. 2018 Sep 30;5(4):e10726. doi: 10.2196/10726.
  • Poostchi M, Silamut K, Maude RJ, Jaeger S, Thoma GR. Image analysis and machine learning for detecting malaria. Transl Res. 2018 Apr;194:36-55. doi: 10.1016/j.trsl.2017.12.004. Epub 2018 Jan 12.
  • Chamarthy P, Stanley RJ, Cizek G, Long R, Antani S, Thoma G. Image Analysis Techniques for Characterizing Disc Space Narrowing in Cervical Vertebrae Computerized Medical Imaging and Graphics. 2004; 28: 39-50.
  • Stanley RJ, Seetharaman S, Long LR, Antani S, Thoma GR, Downey E. Image Analysis Techniques for the Automated Evaluation of Subaxial Subluxation in Cervical Spine X-Ray Images Proc. 17th IEEE Symposium on Computer-Based Medical Systems: IEEE Computer Society. 2004 June.;: 204-9.
  • Long RL, Antani SK, Thoma GR. Image Informatics At a National Research Center Comput Med Imaging Graph. 2005 Mar-Apr;29(2-3):171-93. Epub 2004 Dec 21
  • Faruque J, Antani SK, Long LR, Kim L, Thoma GR. Image similarity ranking of focal computed tomography liver lesions using a 2AFC technique. Proc. SPIE. 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 97870N. DOI: 10.1117/12.2217364.
  • Xue Z, Long LR, Antani SK, Jeronimo J, Thoma GR. Image-retrieval System Aids Cervical Cancer Studies SPIE Newsroom. April 2009
  • Ionescu B, Müller H, Péteri R, Dang-Nguyen DT, Zhou L, Piras L, Riegler M, Halvorsen P, Tran MT, Lux M, Gurrin C, Chamberlain J, Clark A, Campello A, de Herrera AGS, Ben Abacha A, Datla VV, Hasan SA, Liu J, Demner-Fushman D, Pelka O, Friedrich CM, Cid YD, Kozlovski S, Liauchuk V, Kovalev V, Berari P, Brie P, Fichou D, Dogariu M, Stefan L, Constantin M. ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications. ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications. ECIR (2) 2020: 533-541.
  • Huser V, Cimino JJ. Impending Challenges for the Use of Big Data. Int J Radiat Oncol Biol Phys. 2016 Jul 1;95(3):890-894. doi: 10.1016/j.ijrobp.2015.10.060. Epub 2015 Nov 5.
  • Del Fiol G, Huser V, Strasberg HR, Maviglia SM, Curtis C, Cimino JJ. Implementations of the HL7 Context-Aware Knowledge Retrieval ("Infobutton") Standard: challenges, strengths, limitations, and uptake. J Biomed Inform. 2012 Aug;45(4):726-35. doi: 10.1016/j.jbi.2011.12.006.. Epub 2012 Jan 2.
  • Dhoot R, Humphrey JM, O'Meara P, Gardner A, McDonald CJ, Ogot K, Antani SK, Abuya J, Kohli M. Implementing a mobile diagnostic unit to increase access to imaging and laboratory services in western Kenya. BMJ Glob Health. 2018 Oct 8;3(5):e000947. doi: 10.1136/bmjgh-2018-000947. eCollection 2018.
  • Zeng K, Bodenreider O, Nelson SJ. Implementing RxNav, a RxNorm Browser Proc of Medical Informatics Europe 2005 (CD-ROM) 2005:1268.
  • Xue Z, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Improving face image extraction by using deep learning technique. Proc. SPIE 9789, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations, 97890J (March 25, 2016); doi:10.1117/12.2216278.
  • Bodenreider O, Azuaje F. Incorporating Ontology-Driven Similarity Knowledge Into Functional Genomics: An Exploratory Study Proceedings of the 2004 IEEE Fourth Symposium on Bioinformatics and Bioengineering (BIBE-2004) 2004:317-324.
  • Long LR, Thoma GR. Indexing of Image Content in Spine X-Rays Proc. of SPIE Storage and Retrieval for Image and Video Databases VIII. 2000 Jan;3972:55-63.
  • Siegel ER, Logan RA, Harnsberger RL, Cravedi K, Krause JA, Lyon B, Hajarian K, Uhl J, Ruffin A, Lindberg DA. Information Rx: Evaluation of a New Informatics Tool for Physicians, Patients, and Libraries Inf Serv Use. 2006;26(1):1-10.
  • Cardillo E, Hernandez, Jr G, Bodenreider O. Integrating consumer-oriented vocabularies with selected professional ones from the UMLS using Semantic Web Technologies. Proceedings of the eHealth 2010 conference, 2010: p. (paper 10579 - electronic proceedings).
  • Doughty E, Kirk B, Kann MG, Bodenreider O. Integrating Drug-gene Associations Mined from the Literature with Drug Information Sources - A Comparison with PharmGKB Proceedings of the 2011 PSB Workshop on Mining the Pharmacogenomics Literature 2011
  • Zeng K, Bodenreider O. Integrating the UMLS into an RDF-Based Biomedical Knowledge Repository AMIA Annu Symp Proc. 2007 Oct 11:1170.
  • Pedrosa G, Rahman MM, Antani SK, Demner-Fushman D, Long LR, Traina A. Integrating visual words as bunch of n-grams for effective biomedical image classification. Proceedings of IEEE WACV 2014: IEEE Winter Conference on Applications of Computer Vision. Steamboat Springs, CO. March 24-26, 2014.
  • Tringali M, Hole WT, Srinivasan S. Integration of a standard gastrointestinal endoscopy terminology in the UMLS Metathesaurus.the UMLS Metathesaurus Proc AMIA Symp. 2002:801-5.
  • Jeronimo J, Massad S, Castle PE, Schiffman M, NIH/ASCCP Research Group. Inter-observer Agreement in the Evaluation of Digitized Cervical Images Obstet Gynecol. Vol. 197, Issue 1, July 2007
  • Antani SK, Deserno TM, Long LR, Guld MO, Neve L, Thoma GR. Interfacing Global and Local CBIR Systems for Medical Image Retrieval Proc Workshop on Medical Imaging Research (Bildverarbeitung fur die Medizin). March 2007; 166-71.
  • Dhombres F, Bodenreider O. Interoperability between phenotypes in research and healthcare terminologies--Investigating partial mappings between HPO and SNOMED CT. J Biomed Semantics. 2016 Feb 9;7:3. doi: 10.1186/s13326-016-0047-3. eCollection 2016.
  • Raje S, Bodenreider O. Interoperability of disease concepts in clinical and research ontologies – Contrasting coverage and structure in the Disease Ontology and SNOMED CT. Stud Health Technol Inform. 2017;245:925-929.
  • Rajaraman S, Sornapudi S, Alderson PO, Folio LR, Antani SK. Interpreting Deep Ensemble Learning through Radiologist Annotations for COVID-19 Detection in Chest Radiographs. medRxiv 2020.07.15.20154385; doi: https://doi.org/10.1101/2020.07.15.20154385.
  • Xue Z, Antani S, Long LR, Jeronimo J, Thoma GR. Investigating CBIR Techniques for Cervicographic Images AMIA Annu Symp Proc. 2007 Oct 11:826-30.
  • Bodenreider O, Demner-Fushman D. Investigating drug classes in biomedical terminologies from the perspective of clinical decision support. AMIA Annu Symp Proc. 2010 Nov 13;2010:56-60.
  • Zhang S, Bodenreider O. Investigating Implicit Knowledge in Ontologies with Application to the Anatomical Domain Altman RB, Dunker AK, Hunter L, Jung TA, Klein TE, editors. Pacific Symposium on Biocomputing 2004: World Scientific. 2004;: 250-261.
  • Bodenreider O, Smith B, Kumar A, Burgun A. Investigating Subsumption in SNOMED CT: An Exploration into Large Description Logic-based Biomedical Terminologies Artif Intell Med. 2007 Mar;39(3):183-95. Epub 2007 Jan 22
  • Raje S, Bodenreider O. Investigating the coverage of diseases across biomedical research and clinical ontologies. Proceedings of the AMIA Joint Summits on Translational Science CRI: 384-385.
  • Dhombres F, Bodenreider O. Investigating the lexico-syntactic properties of phenotype terms – Application to interoperability between HPO and SNOMED CT. Proc Joint Bio-Ontologies and BioLINK ISMB'2015 SIG session "Phenotype Day" 2015:8-11.
  • Rindflesch TC, Blake CL, Cairelli MJ, Fiszman M, Zeiss CJ, Kilicoglu H. Investigating the role of interleukin-1 beta and glutamate in inflammatory bowel disease and epilepsy using discovery browsing. J Biomed Semantics. 2018 Dec 27;9(1):25. doi: 10.1186/s13326-018-0192-y.
  • Antani S, Xue Z, Long LR, Bennett D, Ward S, Thoma GR. Is there a need for biomedical CBIR systems in clinical practice? Outcomes from a usability study. Proceedings of SPIE Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications. Orlando, FL. February 2011;7967:796708.
  • Winnenburg R, Bodenreider O. Issues in creating and maintaining value sets for clinical quality measures. AMIA Annu Symp Proc. 2012;2012:988-96. Epub 2012 Nov 3.
  • Bodenreider O. Issues in Mapping LOINC Laboratory Tests to SNOMED CT AMIA Annu Symp Proc. 2008 Nov 6:51-5
  • Bergun A, Bodenreider O, Jacquelinet C. Issues in the Classification of Disease Instances with Ontologies Stud Health Technol Inform 2005;116:695-700
  • Rajaraman S, Siegelman J, Alderson PO, Folio LS, Folio LR, Antani SK. Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays. IEEE Access, vol. 8, pp. 115041-115050, 2020, doi: 10.1109/ACCESS.2020.3003810
  • Rajaraman S, Siegelman J, Alderson PO, Folio LS, Folio LR, Antani SK. Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays. 2020, [Online].
  • Simpson M, You D, Rahman MM, Demner-Fushman D, Antani SK, Thoma GR. ITI's participation in the ImageCLEF 2012 medical retrieval and classification tasks. CLEF 2012 Working Notes. Rome, Italy. September 2012.
  • Zhang S, Bodenreider O. Knowledge Augmentation for Aligning Ontologies: An Evaluation in the Biomedical Domain Proceedings of the Semantic Integration Workshop at the Second International Semantic Web Conference. 2003: 109-114.
  • Backer A, Bodenreider O, Karp P, Kelly H, Loranger S, Musen M, Sriram R, Wroe C. Knowledge Integration for Bio-Threat Response Los Alamos White Paper
  • Fung KW, Bodenreider O. Knowledge representation and ontologies. Richesson RL, Andrews JE (Eds.). Clinical Research Informatics, Health Informatics, DOI 10.1007/978-1-84882-448-5_14, Springer-Verlag London Limited Publishing 2012.
  • Boyce RD, Voss EA, Huser V, Evans L, Reich C, Duke JD, Tatonetti NP, Lorberbaum T, Dumontier M, Hauben M, Wallberg M. LAERTES: An open scalable architecture for linking pharmacovigilance evidence sources with clinical data. Proc International Conference on Biomedical Ontology and BioCreative (ICBO BioCreative 2016). http://icbo2016.cgrb.oregonstate.edu/node/354.
  • Long LR, Thoma GR. Landmarking and Feature Localization in Spine X-Rays Journal of Electronic Imaging. 2002 Oct; 10(4):939-56.
  • Zhang GQ, Bodenreider O. Large-scale, Exhaustive Lattice-based Structural Auditing of SNOMED CT. AMIA Annu Symp Proc. 2010 Nov 13;2010:922-6.
  • Shin HC, Roberts K, Lu L, Demner-Fushman D. Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  • Fung K, Xu J, Amey F, Gutierrez AR, D'Have A. Leveraging Lexical Matching and Ontological Alignment to Map SNOMED CT Surgical Procedures to ICD-10-PCS. AMIA Annu Symp Proc. 2017 Feb 10;2016:570-579. eCollection 2016.
  • Winnenburg R, Sorbello A, Ripple AM, Harpaz R, Tonning J, Szarfman A, Francis H, Bodenreider O. Leveraging MEDLINE indexing for pharmacovigilance - Inherent limitations and mitigation strategies. J Biomed Inform. 2015 Oct;57:425-35. doi: 10.1016/j.jbi.2015.08.022. Epub 2015 Sep 2.
  • Rance B, Snyder M, Lewis J, Bodenreider O. Leveraging terminological resources for mapping between rare disease information sources. Stud Health Technol Inform. 2013;192:529-33.
  • Bodenreider O. Lexical, Terminological and Ontological Resources for Biological Text Mining Ananiadou S, McNaught J, editors. Text mining for biology and biomedicine: Artech House; 2006. p. 43-66.
  • Bodenreider O, Burgun A, Rindflesch TC. Lexically-Suggested Hyponymic Relations Among Medical Terms and Their Representation in the UMLS Proc. of TIA'2001; Terminology and Artificial Intelligence. 2001;:11-21.
  • KC S, Aafaque A, Antani SK, Thoma GR. Line Segment-Based Stitched Multipanel Figure Separation for Effective Biomedical CBIR. Int. J. Patt. Recogn. Artif. Intelligence 31, 1757003 (2017) https://doi.org/10.1142/S0218001417570038.
  • Bodenreider O, Burgun A. Linking the Gene Ontology to other biological ontologies Proc ISMB'2005 SIG meeting on Bio-ontologies 2005:17-18
  • Seetharaman S, Stanley RJ, De S. Live Wire Segmentation Tool for Osteophyte Detection in Lumbar Spine X-Ray Images Proc IEEE ICETET 2008. Nagpur, India. July 2008:715-20
  • He L, Long LR, Antani SK, Thoma GR. Local and Global Gaussian Mixture Models For Hematoxylin and Eosin Stained Histology Image Segmentation 20th International Conference on Hybrid Intelligence Systems. Atlanta, GA. August 2010:223-8
  • Rahman MM, Antani SK, Thoma GR. Local Concept-Based Medical Image Retrieval With Correlation-Enhanced Similarity Matching Based On Global Analysis IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA10) in conjunction with IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2010. June 2010:87-94
  • Ding M, Antani SK, Jaeger S, Xue Z, Candemir S, Kohli M, Thoma GR. Local-Global Classifier Fusion for Screening Chest Radiographs. Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 101380A (March 13, 2017); doi:10.1117/12.2252459
  • Xu X, Lee DJ, Antani S, Long LR. Localizing Contour Points for Indexing an X-Ray Image Retrieval System Los Alamitos, CA: IEEE Computer Society. 2003 June;: 169-74.
  • Li J, Demner-Fushman D, Thoma GR. Localizing Text and Symbols in Images from Biomedical Journal Articles Poster at 20th NIH Research Festival (BIOINFO-6), September 2007, National Institutes of Health
  • Xue Z, Jaeger S, Antani SK, Long LR, Karargyris A, Siegelman J, Folio L, Thoma GR. Localizing tuberculosis in chest radiographs with deep learning. Proc SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 105790U (6 March 2018) pp. doi: 10.1117/12.2293022
  • Xue Z, Jaeger S, Antani SK, Long LR, Karargyris A, Siegelman J, Folio LR, Thoma GR. Localizing tuberculosis in chest radiographs with deep learning. SPIE Medical Imaging 2018
  • Mougin F, Bodenreider O, Burgun A. Looking for Anemia (and Other Disorders) in SNOMED CT: Comparison of Three Approaches and Practical Implications. AMIA Annu Symp Proc. 2010 Nov 13;2010:527-31.
  • Candemir S, Antani SK, Jaeger SR, Thoma GR. Lung boundary detection in pediatric chest x-rays. Proc. SPIE. 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 94180Q. (March 17, 2015) doi: 10.1117/12.2081060.
  • Candemir S, Jaeger S, Palaniappan K, Musco J, Singh RK, Xue Z, Karargyris A, Antani SK, Thoma GR, McDonald CJ. Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration. IEEE Trans Med Imaging. 2014 Feb;33(2):577-90. doi: 10.1109/TMI.2013.2290491. Epub 2013 Nov 13.
  • Roberts K, Shooshan SE, Rodriguez L, Abhyankar S, Kilicoglu H, Demner-Fushman D. Machine Learning Methods for Detecting Risk Factors for Heart Disease in EHRs. Proc i2b2 2014 Workshop
  • Jaeger S. Malaria Datasets
  • Poostchi M, Ilker E, McMenamin K, Gordon E, Palaniappan N, Pierce S, Maude RJ, Bansal A, Srinivasan P, Miller L, Palaniappan K, Thoma GR, Jaeger S. Malaria parasite detection and cell counting for human and mouse using thin blood smear microscopy. J Med Imaging (Bellingham). 2018 Oct;5(4):044506. doi: 10.1117/1.JMI.5.4.044506. Epub 2018 Dec 12.
  • Jaeger S, Antani SK, Rajaraman S, Yang F, Yu H. Malaria Screening: Research into Image Analysis and Deep Learning. Report to the Board of Scientific Counselors September 2018.
  • Mougin F, Burgun A, Bodenreider O. Mapping Data Elements to Terminological Resources for Integrating Biomedical Data Sourcse BMC Bioinformatics. 2006 Nov 24;7 Suppl 3:S6
  • Lomax J, McCray AT. Mapping the Gene Ontology Into the Unified Medical Language System Comparative and Functional Genomics
  • Burgun A, Bodenreider O. Mapping the UMLS Semantic Network into General Ontologies Proc AMIA Symp. 2001:81-5.
  • Antani S, Cheng J, Long J, Long LR, Thoma GR. Medical Validation and CBIR of Spine X-ray Images over the Internet Proc IS and T/SPIE Electronic Imaging Science and Technology 2006: Internet Imaging VII. San Jose. CA Jan 15-19, 2006, SPIE Vol. 6061 pp. 60610J (1-9).
  • Burgun A, Bodenreider O. Methods for Exploring the Semantics of the Relationships Between Co-Occurring UMLS Concepts Medinfo. 2001 ;10(Pt 1):171-5.
  • Peters L, Kapusnik-Uner JE, Bodenreider O. Methods for managing variation in clinical drug names. AMIA Annu Symp Proc. 2010 Nov 13;2010:637-41.
  • Winnenburg R, Bodenreider O. Metrics for assessing the quality of value sets in clinical quality measures. AMIA Annu Symp Proc. 2013 Nov 16;2013:1497-505. eCollection 2013.
  • Golbreich C, Zhang S, Bodenreider O. Migrating the FMA from Protege to OWL Proc of the Eighth International Protege Conference 2005:108-111.
  • Abhyankar S, Demner-Fushman D, Callaghan F, Leishear K, McDonald CJ. MIMIC-II: a database of 30,000+ patients for ICU research. NIH Intramural Research Festival, Bethesda MD, October 9-12, 2012.
  • Guan H, Antani S, Long LR, Thoma GR. Minimizing the Semantic Gap In Biomedical Content-based Image Retrieval Proc SPIE, Medical Imaging: Advanced PACS-based Imaging Informatics, and Therapeutic Applications. March 2010;7628:762807-1 ~ 762807-8
  • An L, Obradovic Z, Smith D, Bodenreider O, Megalooikonomou V. Mining Association Rules among Gene Functions in Clusters of Similar Gene Expression Maps. Workshop proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM09) -- Workshop on Data Mining in Functional Genomics 2009: p. 254-259
  • Cui L, Zhu W, Tao S, Case JT, Bodenreider O, Zhang GQ. Mining non-lattice subgraphs for detecting missing hierarchical relations and concepts in SNOMED CT. J Am Med Inform Assoc. 2017 Jul 1;24(4):788-798. doi: 10.1093/jamia/ocw175.
  • Thamizhvani TR, Lakshmanan S, Rajaraman S. Mobile application-based computer-aided diagnosis of skin tumours from dermal images. The Imaging Science Journal, 66:6, 382-391, 2018, DOI: 10.1080/13682199.2018.1492682
  • Rajaraman S, Antani SK. Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs. IEEE Access, vol. 8, pp. 27318-27326, 2020.
  • Jacquelinet C, Bodenreider O, Burgun A. Modelling Syllepse in Medical Knowledge Bases with Application in the Domain of Organ Failure and Transplantation Proc. of OntoLex; Workshop on Ontologies and Lexical Knowledge Bases 2000.
  • Xu T, Zhang H, Xin C, Kim E, Long LR, Xue Z, Antani SK, Huang Z. Multi-feature based Benchmark for Cervical Dysplasia Classification Evaluation. Pattern Recognition. ISSN 0031-3203, DOI: 10.1016/j.patcog.2016.09.027.
  • Bodenreider O. Multi-lingual features of the Unified Medical Language System. Proc. CLEF-ER 2013 workshop 2013.
  • Xu T, Huang X, Kim E, Long LR, Antani SK. Multi-test cervical cancer diagnosis with missing data estimation. Proc. SPIE. 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94140X. (March 20, 2015) doi: 10.1117/12.2080871.
  • Ionescu B, Muller H, Peteri R, Dang-Nguyen DT, Piras L, Riegler M, Tran MT, Lux M, Gurrin C, Cid YD, Liauchuk V, Kovalev V, Ben Abacha A, Hasan SA, Datla V, Liu J, Demner-Fushman D, Pelka O, Friedrich CM, Chamberlain J, Clark C, de Herrera AGS, Garcia N, Kavallieratou E, del Blanco CR, Rodriguez CC, Vasillopoulos N, Karampidis K. Multimedia retrieval in medicine, lifelogging, security and nature. International Conference of the Cross-Language Evaluation Forum for European Languages, Springer, Cham, 358-386, 2019
  • Huser V, DeFalco FJ, Schuemie M, Ryan PB, Shang N, Velez M, Park RW, Boyce RD, Duke J, Khare R, Utidjian L, Bailey L. Multisite Evaluation of a Data Quality Tool for Patient-Level Clinical Data Sets. EGEMS (Wash DC). 2016 Nov 30;4(1):1239. doi: 10.13063/2327-9214.1239. eCollection 2016.
  • Yang S, Guo J, King PS, Sriraja Y, Long LR. Multispectral Digital Cervigram Analyser in the Wavelet Domain for Early Detection of Cervical Cancer Proc. SPIE Medical Imaging. 2004 Feb; 5370.
  • Nelson SJ, Zeng K, Bodenreider O. MyMedicationList: Integrating Personal Medication Records with Resources AMIA Annu Symp Proc. 2008 Nov 6:1228
  • Ben Abacha A, de Herrera A, Wang Ke, Long LR, Antani SK, Demner-Fushman D. Named entity recognition in functional neuroimaging literature. 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, 2017, pp. 2218-2220.
  • Goodwin RM, Abhyankar S, Zuckerman AE, Copeland SM, Sarkar D, Cuthbert C, Therrell BL, Ojodu J, Lloyd-Puryear MA, Jenders RA, McDonald CJ. Newborn screening health information exchange: updated guidance for coding and HL7 electronic messaging. APHL Newborn Screening and Genetics Testing Symposium. 2011 Nov 7.
  • Zhang S, Bodenreider O. NLM Anatomical Ontology Alignment system: Results of the 2006 ontology alignment contest Proc OAEI 2006 2006:145-156
  • KC S, Xue Z, Antani SK, Thoma GR. NLM at ImageCLEF 2015: Biomedical Multipanel Figure Separation. Editors: Cappellato, L., Ferro, N., Jones, G., and San Juan, E., CLEF 2015 Labs and Workshops, Notebook Papers. CEUR WorkshopProceedings (CEUR-WS.org), ISSN 1613-0073, http://ceur-ws.org/ Vol-1391/.
  • Ben Abacha A, Gayen S, Lau JJ, Rajaraman S, Demner-Fushman D. NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain. CLEF2018 Working Notes. CEUR Workshop Proceedings, Avignon, France, CEUR-WS.org (September 10-14 2018).
  • Ben Abacha A. NLM_NIH at TREC 2016 Clinical Decision Support Track. Proceedings of TREC 2016, the 25th Text Retrieval Conference, Gaithersburg, MD, USA, November 2016.
  • Callaghan F, Jackson MT, Demner-Fushman D, Abhyankar S, McDonald CJ. NLP-derived information improves the estimates of risk of disease compared to estimates based on manually extracted data alone. 5th International Symposium on Semantic Mining in Biomedicine (SMBM 2012), 2012 Sept 3-4, Zurich, Switzerland.
  • Bodenreider O, Aubry M, Burgun A. Non-Lexical Approaches to Identifying Associative Relations in the Gene Ontology Pac Symp Biocomput. 2005:91-102
  • Kesav N, Yang Q, Losert W, Kim J, Jaeger S, Sen HN. Novel automated processing techniques of fluorescein angiography (FA) images in patients with Uveitis. Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO).
  • Candemir S, Antani SK, Xue Z, Thoma GR. Novel Method for Storyboarding Biomedical Videos for Medical Informatics. 30th IEEE International Symposium on Computer-Based Medical Systems
  • Guo P, Banerjee K, Stanley RJ, Long LR, Antani SK, Thoma GR, Frazier SR, Moss RH, Stoecker WV. Nuclei-Based Features for Uterine Cervical Cancer Histology Image Analysis with Fusion-based Classification. DOI 10.1109/JBHI.2015.2483318 IEEE Journal of Biomedical and Health Informatics
  • Hripcsak G, Duke JD, Shah NH, Reich CG, Huser V, Schuemie MJ, Suchard MA, Park RW, Wong IC, Rijnbeek PR, van der Lei J, Pratt N, Norén GN, Li YC, Stang PE, Madigan D, Ryan PB. Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers. Stud Health Technol Inform. 2015;216:574-8.
  • Bodenreider O, Hayamizu TF, Ringwald M, De Coronado S, Zhang S. Of mice and men: aligning mouse and human anatomies. AMIA Annu Symp Proc. 2005:61-5.
  • Gururajan A, Kamalakannan S, Sari-Sharraf H, Shahriar M, Long LR, Antani SK. On the creation of a segmentation library for digitized cervical and lumbar spine radiographs. Comput Med Imaging Graph. 2011 Jun;35(4):251-65. doi: 10.1016/j.compmedimag.2010.11.006. Epub 2011 Mar 5.
  • Bodenreider O, Burgun A. Oncologic Pathology in Biomedical Terminologies: Challenges for Data Integration Proc APIII conference on "Anatomic Pathology Informatics and Imaging Support for Translational Medicine", Pittsburgh, Pennsylvania, September 9-12, 2007:Abstract 342.
  • Bodenreider O. Ontologies and Data Integration in Biomedicine: Success Stories and Challenging Issues In: Bairoch A, Cohen-Boulakia S, Froidevaux C, editors. Proceedings of the Fifth International Workshop on Data Integration in the Life Sciences (DILS 2008); Berlin Heidelberg New York: Springer; 2008. p. 1-4
  • Azuaje F, Wang H, Bodenreider O. Ontology-driven Similarity Approaches to Supporting Gene Functional Assessment Proceedings of the ISMB'2005 SIG meeting on Bio-ontologies 2005:9-10
  • Kim J, Tran L, Chew E, Antani SK. Optic Disc and Cup Segmentation for Glaucoma Characterization Using Deep Learning 2019 IEEE 32th International Symposium on Computer-Based Medical Systems (CBMS), pp 489-494, Cordoba, Spain, June 2019.
  • Kim J, Tran L, Chew E, Antani SK, Thoma GR. Optic Disc Segmentation in Fundus Images Using Deep Learning. SPIE Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications, Vol. 10954, San Diego, USA, February 2019.
  • Qian X, Tagare HD, Fulbright RK, Long LR, Antani SK. Optimal embedding for shape indexing in medical image databases. Med Image Anal. 2010 Jun;14(3):243-54. doi: 10.1016/j.media.2010.01.001. Epub 2010 Jan 20.
  • Demner-Fushman D, Hauser SE, Ford G, Thoma GR. Organizing Literature Information for Clinical Decision Support Stud Health Technol Inform. 2004;107(Pt 1):602-6.
  • KC S, Wendling L, Antani SK, Thoma GR. Overlaid arrow detection for labeling biomedical image regions. IEEE Intelligent Systems, Special Issue on Pattern Recognition, 31(3):66-75, May-June 2016.DOI: 10.1109/MIS.2016.24.
  • Abhyankar S, McDonald CJ. Overweight, obesity, and all-cause mortality [Letter]. JAMA. 2013 Apr 24;309(16):1680-1. doi: 10.1001/jama.2013.3092.
  • Borovikov E, Vajda S, Lingappa G, Bonifant MC. Parallel Computing in Face Image Retrieval: Practical Approach to the Real-World Image Search. Multi-Core Computer Vision and Image Processing for Intelligent Applications. IGI Global, 2017. 155-189. Web. 12 Sep. 2016. doi:10.4018/978-1-5225-0889-2.ch006
  • Yang F, Yu H, Silamut K, Maude RJ, Jaeger S, Antani SK. Parasite Detection in Thick Blood Smears Based on Customized Faster-RCNN. Proceedings of AIPR2019, Washington DC, USA, Oct 15-17, 2019.
  • Antani S, Xu X, Long R, Thoma G. Partial Shape Matching for CBIR of Spine X-Ray Images Proc. SPIE Electronic Imaging - Storage and Retrieval Methods and Applications for Multimedia. 2004 Jan; 5307: 1-8.
  • Xu X, Lee DJ, Antani S, Long LR. Partial Shape Matching of Spine X-Ray Shapes Using Dynamic Programming Proc. 17th IEEE Symposium on Computer-Based Medical Systems: IEEE Computer Society. 2004 June.;: 97-102.
  • Ruiz A, Allette K, Francis D, Lamping E, Jaeger S, Folio L, Apolo A. Patterns of soft tissue metastasis in patients with urothelial carcinoma using tumor volume heatmaps [Poster]. NIH Summer Research Program Poster Day, Aug 6, 2015
  • Ganesan P, Xue Z, Singh S, Long LR, Ghoraani B, Antani SK. Performance Evaluation of a Generative Adversarial Network for Deblurring Mobile-phone Cervical Images. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany, 23 – 27 July 2019. pp. 4487 – 4490.
  • Rajaraman S, Jaeger S, Antani SK. Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images. PeerJ. doi: 10.7717/peerj.6977.
  • Rajaraman S, Jaeger S, Antani SK. Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images. PeerJ 7:e6977
  • Xu X, Lee DJ, Antani S, Long RL. Pre-Indexing for Fast Partial Shape Matching of Vertebrae Images Proc CBMS 2006, June 2006, Salt Lake City, Utah; 105-10
  • Rajaraman S, Antani SK, Poostchi Mohammadabadi M, Silamut K, Hossain MA, Maude RJ, Jaeger S, Thoma GR. Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images. PeerJ. 2018 Apr 16;6:e4568. doi: 10.7717/peerj.4568. eCollection 2018.
  • Huser V, Cimino JJ. Precision and negative predictive value of links between ClinicalTrials.gov and PubMed. AMIA Annu Symp Proc. 2012;2012:400-8. Epub 2012 Nov 3.
  • Azuaje F, Wang H, Zheng H, Bodenreider O, Chesneau A. Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions Proc ICDM 2006, Workshop on Data Mining in Bioinformatics: IEEE Computer Society Press; 2006. p. 114 - 119
  • Demner-Fushman D, Kohli MD, Rosenman MB, Shooshan SE, Rodriguez L, Antani S, Thoma GR, McDonald CJ. Preparing a collection of radiology examinations for distribution and retrieval. J Am Med Inform Assoc. 2016 Mar;23(2):304-10. doi: 10.1093/jamia/ocv080. Epub 2015 Jul 1.
  • Jeronimo J, Long R, Neve L, Ferris D, Noller K, Spitzer M, Mitra S, Guo J, Nutter B, Castle P, Herrero R, Rodriguez AC, Schiffman M. Preparing Digitized Cervigrams for Colposcopy Research and Education: Determination of Optimal Resolution and Compression Parameters J Low Genit Tract Dis. 2006 Jan;10(1):39-44
  • Fung KW, Richesson R, Smerek M, Pereira KC, Green BB, Patkar A, Clowse M, Bauck A, Bodenreider O. Preparing for the ICD-10-CM Transition: Automated Methods for Translating ICD Codes in Clinical Phenotype Definitions. EGEMS (Wash DC). 2016 Apr 12;4(1):1211. doi: 10.13063/2327-9214.1211. eCollection 2016.
  • Sahoo SS, Bodenreider O, Hitzler P, Sheth A, Thirunarayan K. Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data SSDBM: Springer, 2010. p. 461-470
  • Bodenreider O. Provenance information in biomedical knowledge repositories – A use case. Proceedings of the First International Workshop on the role of Semantic Web in Provenance Management (SWPM 2009), 2009: p. (electronic proceedings: http://ceur-ws.org/Vol-526/).
  • Thoma GR. Public Access to Anatomic Images Chapter in: Medical Informatics: Knowledge Management and Data Mining in Biomedicine
  • Bodenreider O. Quality Assurance in Biomedical Terminologies and Ontologies April 2010 Technical Report to the LHNCBC Board of Scientific Counselors.
  • Adamusiak T, Bodenreider O. Quality assurance in LOINC using Description Logic. AMIA Annu Symp Proc. 2012;2012:1099-108. Epub 2012 Nov 3.
  • Bodenreider O, Cornet R, Vreeman DJ. Recent Developments in Clinical Terminologies - SNOMED CT, LOINC, and RxNorm. Yearb Med Inform. 2018 Aug;27(1):129-139. doi: 10.1055/s-0038-1667077. Epub 2018 Aug 29.
  • Jaeger S, Silamut K, Yu H, Poostchi Mohammadabadi M, Ersoy I, Powell A, Liang Z, Hossain M, Antani SK, Palaniappan K, Maude R, Thoma GR. Reducing the Diagnostic Burden of Malaria Using Microscopy Image Analysis and Machine Learning in the Field [Poster]. Annual Meeting of the American Society of Tropical Medicine & Hygiene (ASTMH), Atlanta, USA, 2016.
  • Kim J, Candemir S, Chew E, Thoma GR. Region of Interest Detection in Fundus Images Using Deep Learning and Blood Vessel Information. The 31th IEEE International Symposium on Computer-Based Medical Systems. (IEEE CBMS 2018), pp. 357-362, Karlstad, Sweden, June 2018.
  • Bodenreider O, Bean CA. Relationships Among Knowledge Structures: Vocabulary Integration Within a Subject Domain. In: Bean A, Green R, editors. Relationships in the organization of knowledge. Springer; 2001. pp. 81-98.
  • Xu X, Lee DJ, Antani S, Long LR. Relevance Feedback for Spine X-ray Retrieval CBMS, 2005. Dublin, Ireland; pp. 197-202
  • Burgun A, Bodenreider O, Le Duff F, Moussouni F, Loreal O. Representation of roles in biomedical ontologies: a case study in functional genomics. Proc AMIA Symp. 2002:86-90.
  • Gordon, E, Ersoy, I, Jaeger S, Waisberg, M, Pena, M, Thoma GR, Antani SK, Pierce, S, Palaniappan, K. Retinal Microcirculation Dynamics During an Active Malarial Infection [Poster]. Annual Meeting of the American Society of Tropical Medicine and Hygiene (ASTMH), 2014.
  • Antani S, Crandall D, Kasturi R. Robust Extraction of Text in Video International Conference of Pattern Recognition. 2000 Sept.;1:1445-9.
  • KC S, Candemir S, Jaeger S, Folio L, Karargyris A, Antani SK, Thoma GR. Rotation detection in chest radiographs based on generalized line histogram of rib-orientations. IEEE 27th International Symposium on Computer-Based Medical Systems, New York, NY, USA, May 27-29, 2014: page 138-142.
  • Candemir S, Borovikov E, KC S, Antani SK, Thoma GR. RSILC: Rotation- and Scale-Invariant, Line-based Color-aware descriptor. Image and Vision Computing, Volume 42, October 2015, Pages 1-12, ISSN 0262-8856. doi:10.1016/j.imavis.2015.06.010.
  • Peters L, Nguyen T, Bodenreider O. RxBatch – Batch operations for RxNorm and NDF-RT APIs (Poster). AMIA Annu Symp Proc, 2012: p. 1897.
  • Zeng K, Bodenreider O, Nelson SJ. RxNav: A Progress Report AMIA Annu Symp Proc 2005:1168
  • Bodenreider O, Nelson SJ. RxNav: A Semantic Navigation Tool for Clinical Drugs Medinfo. 2004 Sept.;2004: 1530.
  • Zeng K, Bodenreider O, Kilbourne J, Nelson SJ. RxNav: A Web Service for Standard Drug Information AMIA Annu Symp Proc. 2006:1156
  • Zeng K, Bodenreider O, Kilbourne J, Nelson SJ. RxNav: An Integrated View on Drug Information Proc AMIA Annu Symp; 2007:1202
  • Bodenreider O, Peters L, Nguyen T. RxNav: Browser and Application Programming Interfaces for Drug Information Sources [Abstract]. AMIA Annu Symp Proc 2011:2129
  • Zeng K, Bodenreider O, Kilbourne J, Nelson S. RxNav: Towards an Integrated View on Drug Information MEDINFO 2007:386.
  • Fung KW, McDonald C, Bray BE. RxTerms - a drug interface terminology derived from RxNorm. AMIA Annu Symp Proc. 2008 Nov 6:227-31
  • KC S, Wendling L, Antani SK, Thoma GR. Scalable arrow detection in biomedical images. Pattern Recognition (ICPR), 2014 22nd International Conference; pp 3257-62. DOI: 10.1109/ICPR.2014.561
  • Bekhuis T, Demner-Fushman D. Screening nonrandomized studies for medical systematic reviews: a comparative study of classifiers. Artif Intell Med. 2012 Jul;55(3):197-207. doi: 10.1016/j.artmed.2012.05.002. Epub 2012 Jun 5.
  • Wang X, Guan Y, Lu P, Cheng G, Zhou W, Jaeger S, Zhen B, Antani SK, Yin X, Yu W, Guo L, Quan S, Lure F, Hurt D, Gabrielian A, Li H, Ke X. Screening of Tuberculosis in a TB High-burden Large Rural Region in China with Deep Learning Multi-modality Artificial Intelligence. Chinese Congress of Radiology.
  • Long RL, Thoma GR. Segmentation and Image Navigation in Digitized Spine X-Rays Proc. SPIE Medical Imaging: Image Processing. 2000 Feb; 3979: 168-79.
  • Xue Z, Long LR, Antani SK, Jeronimo J, Thoma GR. Segmentation of Mosaicism in Cervicographic Images Using Support Vector Machines Proc. SPIE 7259, Medical Imaging 2009, Lake Buena Vista, Florida, United States: Image Processing, 72594X (27 March 2009); doi: 10.1117/12.812318; http://dx.doi.org/10.1117/12.812318.
  • Karargyris A, Antani SK, Thoma GR. Segmenting anatomy in chest x-rays for tuberculosis screening. Conf Proc IEEE Eng Med Biol Soc. 2011;2011:7779-82. doi: 10.1109/IEMBS.2011.6091917.
  • Lin J, Demner-Fushman D. Semantic clustering of answers to clinical questions. AMIA Annu Symp Proc. 2007 Oct 11:458-62.
  • Bodenreider O, Zhang S. Semantic Integration in Biomedicine Proceedings of the Semantic Integration Workshop at the Second International Semantic Web Conference. 2003;: 156-157.
  • Cameron D, Kavuluru R, Bodenreider O, Mendes PN, Sheth AP, Thirunarayan K. Semantic predications for complex information needs in biomedical literature BIBM 2011:512-519.
  • Bodenreider O. Semantic Web for Translational Biomedicine: Two Pilot Experiments [Abstract]. Proc. MIA Summit on Translational Bioinformatics 2008:141
  • Vajda S, Rangoni Y, Cecotti H. Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition. Pattern Recognit Lett. 2015 Jun 1;58:23-28.
  • Montufar-Rueda C, Rodriguez L, Jarquin JD, Barboza A, Bustillo MC, Marin F, Ortiz G, Estrada F. Severe postpartum hemorrhage from uterine atony: a multicentric study. J Pregnancy. 2013;2013:525914. doi: 10.1155/2013/525914. Epub 2013 Dec 2.
  • Tagare HD, Qian X, Fulbright RK, Long RL, Antani SK. Shape Based Retrieval in NHANES II Proceedings of the 12th Annual ACM International Conference on Multimedia. 2004. 776-779.
  • Qian X, Tagare HD, Fulbright R, Long R, Antani S. Shape Indexing in Medical Image Databases Using Pre-Shape Embedding Proc. Distributed Databases and Processing in Medical Image Computing, MICCAI. 2004 Sept.;: 36-44.
  • Lee DJ, Antani S, Long LR. Similarity Measurement Using Polygon Curve Representation and Fourier Descriptors for Shape-Based Vertebral Image Retrieval Proc. of SPIE Medical Imaging: Image Processing. 2003;5032(3): 1283-91.
  • Stanley RJ, Antani S, Long LR, Thoma GR, Gupta K, Das M. Size-invariant Descriptors for Detecting Regions of Abnormal Growth in Cervical Vertebrae Comput Med Imaging Graph. 2008 Jan;32(1):44-52. Epub 2007 Oct 22
  • Yang F, Yu H, Poostchi M, Silamut K, Maude RJ, Jaeger S. Smartphone-Supported Automated Malaria Parasite Detection. SIIM conference on Machine Intelligence in Medical Imaging, 2018.
  • Yang F, Yu H, Silamut K, Maude R, Jaeger S, Antani SK. Smartphone-Supported Malaria Diagnosis Based on Deep Learning. Proceedings of 10th Workshop on Machine Learning in Medical Imaging (MLMI 2019) in conjunction with MICCAI, Shenzhen, China, Oct 13-17, 2019.
  • Yang F, Yu H, Silamut K, Maude RJ, Jaeger S, Antani SK. Smartphone-Supported Malaria Diagnosis Based on Deep Learning. In: Suk HI., Liu M., Yan P., Lian C. (eds) Machine Learning in Medical Imaging. MLMI 2019. Lecture Notes in Computer Science, vol 11861. Springer, Cham.
  • Fung K, Berglund D, Scichilone R, Brear H, Giannangelo K. SNOMED CT to ICD-10 map development process diagram. Meeting of the WHO Collaborating Centers for the Family of International Classifications. October 2009.
  • Fung K, Berglund D, Scichilone R, Brear H, Giannangelo K. SNOMED CT to ICD-10 mapping project update - a joint task for IHTSDO and WHO-FIC. Meeting of the WHO Collaborating Centers for the Family of International Classifications. October 2009.
  • Rogers J, Bodenreider O. SNOMED CT: Browsing the Browsers Proc of the Third International Conference on Knowledge Representation in Medicine (KR-MED 2008) 2008:30-36
  • Neve L, Long LR, Antani SK. Software: Boundary Marking Tool 2 (BMT2)
  • Xue Z, Long LR, Antani SK, Thoma GR. Spine x-ray image retrieval using partial vertebral boundaries. 24th International Symposium on Computer-Based Medical Systems. Bristol, UK. June 2011.
  • Abhyankar S, Demner-Fushman D, McDonald CJ. Standardizing clinical laboratory data for secondary use. J Biomed Inform. 2012 Aug;45(4):642-50. doi: 10.1016/j.jbi.2012.04.012. Epub 2012 May 3.
  • KC S, Antani SK, Thoma GR. Stitched Multipanel Biomedical Figure Separation. IEEE, 28th International Symposium on Computer-Based Medical Systems (CBMS), pp. 54-59, 2015.
  • Bodenreider O, Zweigenbaum P. Strategies d'Identification des Noms Propres a Partir de Nomenclatures Medicales Paralleles Traitement Automatique des Langues. 2000;41(3):727-757.
  • Bodenreider O. Strength in Numbers: Exploring Redundancy in Hierarchical Relations Across Biomedical Terminologies AMIA Annu Symp Proc. 2003:101-5.
  • Huser V, Taft L, Cimino J. Suitability of LOINC document ontology as a reference terminology for clinical document types: a case report of a research-oriented EHR. NIH Poster Day 2012.
  • Fung KW, Xu J. Synergism between the mapping projects from SNOMED CT to ICD-10 and ICD-10-CM. AMIA Annu Symp Proc. 2012;2012:218-27. Epub 2012 Nov 3.
  • Xue Y, Zhou Q, Ye J, Long LR, Antani SK, Cornwell C, Xue Z, Huang X. Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification. ArXiv, abs/1907.10655.
  • Long RL, Antani S, Jeronimo J, Schiffman M, Bopf M, Neve L, Cornwall C, Budihas SC, Thoma GR. Technology for Medical Education, Research, and Disease Screening by Exploitation of Biomarkers in a Large Collection of Uterine Cervix Images Proc CBMS 2006, June 2006, Salt Lake City, Utah; 826-31
  • Zeng QT, Tse T, Divita G, Keselman A, Crowell J, Browne AC, Goryachev S, Ngo L. Term Identification Methods for Consumer Health Vocabulary Development J Med Internet Res. 2007 Feb 28;9(1):e4.
  • Peters L, Nguyen T, Bodenreider O. Terminology Status APIs - Mapping Obsolete Codes to Current RxNorm, SNOMED CT, and LOINC Concepts. Stud Health Technol Inform. 2017;245:1333.
  • Fung K, Xu J, Rosenbloom ST, Mohr D, Maram N. Testing Three Problem List Terminologies in a simulated data entry environment. AMIA Annu Symp Proc. 2011;2011:445-54. Epub 2011 Oct 22.
  • You D, Rahman MM, Antani SK, Demner-Fushman D, Thoma GR. Text- and content-based biomedical image modality classification. Proc. SPIE Medical Imaging. Orlando, FL. February 2013;8674-21.
  • Cimino JJ, Hayamizu TF, Bodenreider O, Davis B, Stafford GA, Ringwald M. The caBIG terminology review process. J Biomed Inform. 2009 Jun;42(3):571-80. doi: 10.1016/j.jbi.2008.12.003. Epub 2008 Dec 25.
  • Oellrich A, Collier N, Groza T, Rebholz-Schuhmann D, Shah N, Bodenreider O, Borlan MR, Georgiev I, Liu H, Livingston K, Luna A, Mallon AM, Manda P, Robinson PM, Rustici G, Simonn M, Wang L, Winnenburg R, Dumontier M. The digital revolution in phenotyping. Brief Bioinform. 2016 Sep;17(5):819-30. doi: 10.1093/bib/bbv083. Epub 2015 Sep 29.
  • Homer ML, Palmer NP, Bodenreider O, Cami A, Chadwick L, Mandl KD. The Drug Data to Knowledge Pipeline: Large-Scale Claims Data Classification for Pharmacologic Insight. AMIA Jt Summits Transl Sci Proc. 2016 Jul 20;2016:105-11. eCollection 2016.
  • Gordon E, Waisberg M, Ersoy I, Pena M, Jaeger S, Pierce S. The eye as a window to investigate the CNS microvasculature during a dynamic malaria infection (Abstract). Third Annual Seminar on Molecular Imaging of Infectious Diseases, September 23, 2013.
  • Nguyen V, Bodenreider O, Minning T, Sheth AP. The knowledge-driven exploration of integrated biomedical knowledge sources facilitates the generation of new hypotheses Proceedings of the First International Workshop on Linked Science (LISC 2011) 2011:(electronic proceedings: http://ceur-ws.org/Vol-783/)
  • Bodenreider O, Nguyen D, Chiang P, Chuang P, Madden M, Winnenburg R, McClure R, Emrick S, D'Souza I. The NLM value set authority center (Poster). Stud Health Technol Inform. 2013;192:1224.
  • Bodenreider O, Smith B, Burugn A. The Ontology-Epistemology Divide: A Case Study in Medical Terminology Proceedings of the Third International Conference on Formal Ontology in Information Systems (FOIS2004): IOS Press; 2004. p. 185-195.
  • Overby CL, Tarczy-Hornoch P, Demner-Fushman D. The potential for automated question answering in the context of genomic medicine: An assessment of existing resources and properties of answers Summit on Translat Bioinforma. 2009 Mar 1;2009:1-25.
  • Fomous C, Miller N. The Role of the National Library of Medicine Web Sites in Newborn Screening Education Ment Retard Dev Disabil Res Rev. 2006;12(4):305-12
  • Demner-Fushman D, Hauser SE, Thoma GR. The role of title, metadata and abstract in identifying clinically relevant journal articles. AMIA Annu Symp Proc. 2005:191-5.
  • Luciano JS, Andersson B, Batchelor C, Bodenreider O, Clark T, Denny CK, Domarew C, Gambet T, Harland L, Jentzsch A, Kashyap V, Kos P, Kozlovsky J, Lebo T, Marshall SM, McCusker JP, McGuinness DL, Ogbuji C, Pichler E, Powers RL, Prud'hommeaux E, Samwald M, Schrimi L, Tonellato PJ, Wjetzel JZ, Stephens S, Dumontier M. The Translational Medicine Ontology and Knowledge Base: driving personalized medicine by bridging the gap between bench and bedside. J Biomed Semantics. 2011 May 17;2 Suppl 2:S1. doi: 10.1186/2041-1480-2-S2-S1.
  • Dumontier M, Andersson B, Batchelor C, Domarew C, Jentzsch A, Luciano J, Pichler E, Prud'hommeaux E, Whetzel PL, Bodenreider O, Clark T, Harland L, Kashyap V, Kos P, Kozlovsky J, McGurk J, Ogbuji C, Samwald M, Schriml L, Tonellato PJ, Zhao J, Stephens S. The Translational Medicine Ontology: Driving Personalized Medicine by Bridging the Gap from Bedside to Bench Proceedings of the 13th ISMB'2010 SIG meeting Bio-ontologies 2010:120-123
  • Bangalore A, Thorn KE, Tilley C, Peters L. The UMLS knowledge source server: an object model for delivering UMLS data. AMIA Annu Symp Proc. 2003 Nov;:51-55.
  • Fung KW, McDonald C, Srinivasan S. The UMLS-CORE project: a study of the problem list terminologies used in large healthcare institutions. J Am Med Inform Assoc. 2010 Nov-Dec;17(6):675-80. doi: 10.1136/jamia.2010.007047.
  • Bodenreider O. The Unified Medical Language System (UMLS): Integrating Biomedical Terminology Nucleic Acids Res; Database Issue. 2004;32: 267-70.
  • Demner-Fushman D, Ananiadou S, Cohen KB, Pestian J, Tsujii J, Webber B. Themes in biomedical natural language processing: BioNLP08 BMC Bioinformatics. 2008 Nov 19;9 Suppl 11:S1.
  • Huang X, Wang W, Xue Z, Antani SK, Long LR, Jeronimo J. Tissue Classification using Cluster Features for Lesion Detection in Digital Cervigrams Proc. SPIE Medical Imaging 2008. April 2008;6914:69141Z-1-8
  • Ayvas S, Horn J, Hassanzadeh O, Zhu Q, Stan J, Tatonetti NP, Vilar S, Brochhausen M8, Samwald M, Rastegar-Mojarad M, Dumontier M, Boyce RD. Toward a complete dataset of drug-drug interaction information from publicly available sources. J Biomed Inform. 2015 Jun;55:206-17. doi: 10.1016/j.jbi.2015.04.006. Epub 2015 Apr 24.
  • Doughty E, Kertesz-Farkas A, Bodenreider O, Thompson G, Adadey A, Peterson T, Kann MG. Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature. Bioinformatics. 2011 Feb 1;27(3):408-15. doi: 10.1093/bioinformatics/btq667. Epub 2010 Dec 7.
  • Harpaz R, DuMouchel W, Schuemie M, Bodenreider O, Friedman C, Horvitz E, Ripple A, Sorbello A, White RW, Winnenburg R, Shah NH. Toward multimodal signal detection of adverse drug reactions. J Biomed Inform. 2017 Dec;76:41-49. doi: 10.1016/j.jbi.2017.10.013. Epub 2017 Nov 1.
  • McDonald CJ, Fung K, Wang Y, Lynch P, Hook J, Vreeman D. Towards a standardized HL7 clinical data capture tool – with a trial implementation in NLM’s personal health record. 10th International HL7 Interoperability Conference. May 2009.
  • Topaz M, Goss F, Blumenthal K, Lai K, Seger DL, Slight SP, Wickner PG, Robinson GA, Fung KW, McClure RC, Spiro S, Acker WW, Bates DW, Zhou L. Towards improved drug allergy alerts: Multidisciplinary expert recommendations. Int J Med Inform. 2017 Jan;97:353-355. doi: 10.1016/j.ijmedinf.2016.10.006. Epub 2016 Oct 6.
  • Powell T, Srinivasan S, Nelson SJ, Hole WT, Roth L, Olenichev V. Tracking meaning over time in the UMLS Metathesaurus. Proc AMIA Symp. 2002:622-6.
  • Nishinaga N, Tatsumi H, Gill M, Akashib A, Nogawa H, Reategui I. Trans-Pacific Demonstration of Visible Human Space Communications. 2002 March; 17(4):303-311.
  • Goedert JJ, Scoppio BM, Pfeiffer R, Neve L, Federici AB, Long LR, Dolan BM, Brambati M, Bellinvia M, Lauria C, Preiss L, Boneschi V, Whitby D, Brambilla L. Treatment of classic Kaposi sarcoma with a nicotine dermal patch: a phase II clinical trial. phase II clinical trial. J Eur Acad Dermatol Venereol. 2008 Sep;22(9):1101-9. doi: 10.1111/j.1468-3083.2008.02720.x. Epub 2008 Apr 1.r 1.
  • Dhombres F, Bodenreider O. Trends in Fetal Medicine: A 10-Year Bibliometric Analysis of Prenatal Diagnosis. Stud Health Technol Inform. 2017;245:853-857.
  • Driessen J, Baik SH, Zhang Y. Trends in Off-Label Use of Second-Generation Antipsychotics in the Medicare Population From 2006 to 2012. Psychiatr Serv. 2016 Aug 1;67(8):898-903. doi: 10.1176/appi.ps.201500316. Epub 2016 Apr 15.
  • Antani SK. Tuberculosis Chest X-ray Image Data Sets
  • Jaeger S, Antani S, Thoma GR. Tuberculosis Screening of Chest Radiographs. 2 June 2011, SPIE Newsroom. DOI: 10.1117/2.1201105.003732i.
  • Burgun A, Mougin F, Bodenreider O. Two approaches to integrating phenotype and clinical information. AMIA Annu Symp Proc. 2009 Nov 14;2009:75-9.
  • Jaeger S, Candemir S, Antani SK, Wang Y, Lu P, Thoma GR. Two public chest X-ray datasets for computer-aided screening of pulmonary diseases. Quant Imaging Med Surg. 2014 Dec;4(6):475-7. doi: 10.3978/j.issn.2223-4292.2014.11.20.
  • Datta S, Rodriguez L, Shooshan SE, Demner-Fushman D, Roberts K. Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning. Journal of Biomedical Informatics, 103473.
  • Datta S, Si Y, Rodriguez L, Shooshan S, Demner-Fushman D, roberts K. Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning. arXiv preprint arXiv:1908.04485, 2019.
  • Rajaraman S, Silamut K, Hossain MA, Ersoy I, Maude RJ, Jaeger S, Thoma GR, Antani SK. Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear images. J Med Imaging (Bellingham). 2018 Jul;5(3):034501. doi: 10.1117/1.JMI.5.3.034501. Epub 2018 Jul 18.
  • Zou J, Antani SK, Thoma G. Unified Deep Neural Network for Segmentation and Labeling of Multi-Panel Biomedical Figures Journal of the Association for Information Science and Technology (JASIST), 2019
  • Zou J. Unified Deep Neural Network for Segmentation and Labeling of Multi-Panel Biomedical Figures Journal of the Association for Information Science and Technology (JASIST), 2019
  • Alzamzmi GA, Rajaraman S, Antani SK. Unified Representation Learning for Efficient Medical Image Analysis 2020, [Online]
  • Bodenreider O, Rindflesch TC, Burgun A. Unsupervised, Corpus-Based Method for Extending a Biomedical Terminology Proc. of the ACL Workshop; Natural Language Processing in the Biomedical Domain. 2002;:53-60.
  • Long LR, Thoma GR. Use of Shape Models to Search Digitized Spine X-Rays IEEE Computer-Based Medical Systems. 2000 June;: 255-60.
  • Sun H, Li J, Wu Y, Wang L, Fung K. Using an Ontology-Based Approach to Handle Author Affiliations in a Large Biomedical Citation Database. Stud Health Technol Inform. 2017;245:1338.
  • Xue Z, Antani SK, Long LR, Thoma GR. Using deep learning for detecting gender in adult chest radiographs. Proc SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 105790D (6 March 2018) pp. doi: 10.1117/12.2293027.
  • Xue Z, Antani SK, Long LR, Thoma GR. Using deep learning for detecting gender in adult chest radiographs. SPIE Medical Imaging 2018
  • Winnenburg R, Mortensen JM, Bodenreider O. Using description logics to evaluate the consistency of drug-class membership relations in NDF-RT. J Biomed Semantics. 2015 Mar 28;6:13. doi: 10.1186/s13326-015-0007-3. eCollection 2015.
  • Abhyankar S, Callaghan FM, Demner-Fushman D, McDonald CJ. Using informatics tools to study obesity and outcomes after critical illness. NLM Informatics Training Conference 2011, National Institutes of Health (NIH) Campus, Natcher Conference Center, Bethesda, MD, June 28-30, 2011.
  • Abhyankar S, Therrell B, Eaton R, Cuthbert C, Ojodu J, Copeland S, Goodwin RM, McDonald C. Using LOINC and HL7 to standardize hemoglobinopathy screening result reporting. APHL Newborn Screening and Genetics Testing Symposium. 2011 Nov 7.
  • Xu X, Lee DJ, Antani SK, Long LR, Archiband JK. Using Relevance Feedback with Short-term Memory for Content-based Spine X-ray Image Retrieval. J Neurocomputing. June 2009;72(10-12):2259-69.
  • Bodenreider O. Using SNOMED CT in combination with MedDRA for reporting signal detection and adverse drug reactions reporting. AMIA Annu Symp Proc. 2009 Nov 14;2009:45-9.
  • Wei D, Bodenreider O. Using the abstraction network in complement to description logics for quality assurance in biomedical terminologies - a case study in SNOMED CT. Stud Health Technol Inform. 2010;160(Pt 2):1070-4.
  • Peters L, Bodenreider O. Using the RxNorm Web Services API for Quality Assurance Purposes AMIA Annu Symp Proc. 2008 Nov 6:591-5.
  • Bodenreider O. Using UMLS semantics for classification purposes. Proc AMIA Symp. 2000:86-90.
  • Huang KC, Geller J, Halper M, Perl Y, Xu J. Using WordNet synonym substitution to enhance UMLS source integration. Artif Intell Med. June 2009;46(2):97-109. doi: 10.1016/j.artmed.2008.11.008. Epub 2008 Dec 30.
  • Mougin F, Burgun A, Bodenreider O. Using WordNet to Improve the Mapping of Data Elements to UMLS for Data Sources Integration AMIA Annu Symp Proc. 2006:574-8
  • Rondonotti E, Koulaouzidis A, Karargyris A, Giannakou A, Fini L, Soncini M, Pennazio M, Douglas S, Shams A, Lachlan N, Zahid A, Mandelli G, Girelli C. Utility of 3-dimensional image reconstruction in the diagnosis of small-bowel masses in capsule endoscopy (with video). Gastrointest Endosc. 2014 Oct;80(4):642-51. doi: 10.1016/j.gie.2014.04.057. Epub 2014 Jul 3.
  • Fung KW, Bodenreider O. Utilizing the UMLS for Semantic Mapping between Terminologies. AMIA Annu Symp Proc. 2005:266-70.
  • Antani S, Long LR, Thoma GR, Stanley RJ. Vertebra Shape Classification using MLP for Content-Based Image Retrieval International Neural Networks Society and IEEE Neural Networks Society. 2003 July 2003;:160-65.
  • Jeronimo J, Massad LS, Schiffman M for the NIH-ASCCP Research Group. Visual Appearance of the Uterine Cervix: Correlation with Human Papillomavirus Detection and Type Am J Obstet Gynecol. 2007 Jul;197(1):47.e1-8
  • Kim I, Rajaraman S, Antani SK. Visual Interpretation of Convolutional Neural Network Predictions in Classifying Medical Image Modalities. Diagnostics (Basel). 2019 Apr 3;9(2). pii: E38. doi: 10.3390/diagnostics9020038.
  • Rajaraman S, Candemir S, Kim I, Thoma GR, Antani SK. Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs. Appl. Sci. 2018, 8, 1715.
  • Rajaraman S, Antani SK, Xue Z, Candemir S, Jaeger S, Thoma GR. Visualizing abnormalities in chest radiographs through salient network activations in Deep Learning. Proc. IEEE Life Sciences Conference (LSC), Sydney, Australia, 2017. pp. 71-74, DOI:10.1109/LSC.2017.8268146.
  • Rajaraman S, Candemir S, Thoma G, Antani SK. Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs. Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, 109500S (13 March 2019); doi: 10.1117/12.2512752.
  • Rajaraman S, Antani SK, Jaeger S. Visualizing Deep Learning Activations for Improved Malaria Cell Classification. Proceedings of The First Workshop in Medical Informatics and Healthcare (MIH 2017), Proceedings of Machine Learning Research (PMLR), v. 69, p. 40-47.
  • Rajaraman S, Antani SK. Weakly Labeled Data Augmentation for Deep Learning: A Study on COVID-19 Detection in Chest X-Rays. Diagnostics 2020, 10, 358.
  • Fung KW. Web Interface: I-Magic SNOMED-CT to ICD-10-CM code mapping tool.
  • Bodenreider O. Web Interface: RxMix
  • Bodenreider O. Web Interface: RxNav
  • Xue Z, Antani S, Long LR, Thoma GR. Web-accessible Cervigram Automatic Segmentation Tool SPIE Medical Imaging Conference. March 2010;7628
  • Zhu Y, Huang X, Lopresti D, Long R et al. Web-based Multi-observer Segmentation Evaluation Tool Proc. 21st IEEE CBMS. Jyvaskyla, Finland. June 2008:167-9
  • Zhu Y, Long LR, Antani S, Xue Z, Thoma GR. Web-based STAPLE for Quality Estimation of Multiple Image Segmentations Poster at 20th NIH Research Festival (IMAG-12), September 2007, National Institutes of Health
  • Demner-Fushman D, Chapman WW, McDonald CJ. What can natural language processing do for clinical decision support? J Biomed Inform. 2009 Oct;42(5):760-72. doi: 10.1016/j.jbi.2009.08.007. Epub 2009 Aug 13.
  • Moallem G, Jaeger S, Poostchi M, Palaniappan N, Yu H, Silamut K, Maude RJ, Antani SK, Thoma GR. White Blood Cell Detection and Segmentation in Microscopy Images of Thin Blood Smears [Poster]. NIH Research Festival, Poster, 2017
  • Fung KW, Hole WT, Srinivasan S. Who is using the UMLS and how - insights from the UMLS user annual reports. AMIA Annu Symp Proc. 2006:274-8.
  • Kayaalp M. Why Do We Need Probabilistic Approaches to Ontologies and the Associated Data? AMIA Annu Symp Proc. 2005:1005
  • Xue Z, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Window classification of brain CT images in biomedical articles. AMIA Annu Symp Proc. 2012;2012:1023-9. Epub 2012 Nov 3.