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  • Moallem G, Sari-Sarraf H, Poostchi Mohammadabadi M, Maude R, Silamut K, Antani SK, Jaeger S. Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears. SPIE Medical Imaging, 2018.
  • Abhyankar S, Schluter P, Bennett K, Vreeman D, McDonald CJ. Enabling Interoperability between Healthcare Devices and EHR Systems. In 2017 AMIA Symposium. Wasington DC: IEEE.
  • Abhyankar S, Vreeman DJ, Westra BL, Delaney CW. Comments on the Use of LOINC and SNOMED CT for Representing Nursing Data [Letter]. Int J Nurs Knowl. 2017 Aug 30. doi: 10.1111/2047-3095.12183. [Epub ahead of print]
  • Abhyankar S, Goodwin RM, Sontag M, Yusuf C, Ojodu J, McDonald CJ. An update on the use of health information technology in newborn screening. Semin Perinatol. 2015 Apr;39(3):188-93. doi: 10.1053/j.semperi.2015.03.003. Epub 2015 Apr 29.
  • 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.
  • 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.
  • 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.
  • 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.
  • Abhyankar S, Goodwin RM, Zuckerman A, McDonald CJ. Dataset: newborn screening results annotated example HL7 electronic message guidance (v 5.2).
  • 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.
  • Abhyankar S, Goodwin RM, Zuckerman AE, McDonald CJ. Dataset: Newborn screening LOINC panel.
  • Abhyankar S, Goodwin RM, Zuckerman AE, McDonald CJ. Dataset: newborn screening LOINC codes (AHIC panel).
  • 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, Lloyd-Puryear MA, Goodwin R, Copeland S, Eichwald J, Therrell BL, Zuckerman A, Downing G, McDonald CJ. Standardizing newborn screening results for health information exchange. AMIA Annu Symp Proc. 2010 Nov 13;2010:1-5.
  • Ackerman MJ. Anatomy in the Digital Age. In: Rifkin BA, Ackerman MJ. Human Anatomy: From the Renaissance to the Digital Age. 2006 May 2. New York: Abrams. p. 318-329.
  • Ackerman MJ. Visible Human Project. McGraw-Hill 2004 Yearbook of Science & Technology. New York: McGraw-Hill. 2004. p. 369-72.
  • Ackerman MJ, Yoo T. The Visible Human Data Sets (VHD) and Insight Toolkit (ITk): experiments in open source software. AMIA Annu Symp Proc [American Medical Informatics Association Annual Symposium Proceedings]; 2003 Nov 8-12; Washington DC. p. 773.
  • Ackerman MJ. The Visible Human Project Moves from Data to Knowledge. Lékař a technika. 2002;33(1):4-12.
  • Ackerman MJ. Visible Human Project: From Data to Knowledge. In: Haux R, Kulikowski C, editors. Yearbook of Medical Informatics 2002: Medical Imaging Informatics. International Medical Informatics Association (IMIA). p. 115-7.
  • Ackerman MJ, Yoo T, Jenkins D. From Data to Knowledge - The Visible Human Project Continues. In: Patel VL, Rogers R, Haux R, editors. Stud Health Technol Inform [Studies in Health Technology and Informatics] – MEDINFO 2001: Proceedings of the 10th World Congress on Medical Informatics (2001 Sep 2-5; London);84(Part II):887-90. Amsterdam: IOS Press.
  • Ackerman MJ, Banvard RA, guest editors. Computerized Medical Imaging and Graphics;24(3). Elsevier; 2000.
  • Ackerman MJ, Banvard RA. Imaging Outcomes from the National Library of Medicine's Visible Human Project. Comput Med Imaging Graph. 2000 May-Jun;24(3):125-6.
  • Ackerman MJ, Yoo T, Jenkins D. The Visible Human Project: From Data to Knowledge. In: Lemke HU, Vannier MW, Inamura K, Farman AG, Doi K, editors. Proceedings of the 14th International Congress and Exhibition of Computer Assisted Radiology and Surgery (CARS2000); 2000 Jun 28-Jul 1; San Francisco. Amsterdam: Elsevier; 2000 Jun 1. p. 11-6.
  • Ackerman MJ. Electronics and Health Care Revisited: Thirty-Eight Years Later. Proc IEEE. 2000;88(5):706-7. DOI: 10.1109/5.849172.
  • Ackerman MJ. Dataset: Visible Human Project reference data sets.
  • Adamusiak T, Bodenreider O. Quality assurance in LOINC using Description Logic. AMIA Annu Symp Proc. 2012;2012:1099-108. Epub 2012 Nov 3.
  • 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).
  • 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.
  • 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).
  • 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
  • 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.
  • Antani S, Long LR, Thoma GR. Bridging the Gap: Enabling CBIR in Medical Applications Proc IEEE CBMS. Jyvaskyla, Finland. June 2008:4-6
  • 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).
  • Antani S, Long R, Thoma GR. Content-Based Image Retrieval for Large Biomedical Image Archives Medinfo. 2004 Sept.;2004: 829-833.
  • 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.
  • 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.
  • 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.
  • 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.
  • Antani S, Crandall D, Kasturi R. Robust Extraction of Text in Video International Conference of Pattern Recognition. 2000 Sept.;1:1445-9.
  • 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.
  • Antani SK. Automatic x-ray screening for tuberculosis. SPIE Newsroom. October 2015. DOI: 10.1117/2.1201509.006128
  • Antani SK. Tuberculosis Chest X-ray Image Data Sets
  • 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)
  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • 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
  • 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.
  • 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
  • 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.
  • 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.
  • 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.
  • Baorto D, Li L, Cimino JJ. Practical Experience with the Maintenance of a Large Ontology for an Academic Medical Center Journal of Biomedical Informatics; 2009 Jun;42(3):494-503)
  • Beare R, Lowekamp B, Yaniv Z. Image Segmentation, Registration and Characterization in R with SimpleITK. J Stat Softw. 2018 Aug;86. pii: 8. doi: 10.18637/jss.v086.i08. Epub 2018 Sep 4.
  • 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.
  • 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.
  • 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.
  • 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.
  • Benedict SH, Hoffman K, Martel MK, Abernethy AP, Asher AL, Capala J, Chen RC, Chera B, Couch J, Deye J, Efstathiou JA, Ford E, Fraass BA, Gabriel PE, Huser V, Kavanagh BD, Khuntia D, Marks LB, Mayo C, McNutt T, Miller RS, Moore KL, Prior F, Roelofs E, Rosenstein BS, Sloan J, Theriault A, Vikram B. Overview of the American Society for Radiation Oncology-National Institutes of Health-American Association of Physicists in Medicine Workshop 2015: Exploring Opportunities for Radiation Oncology in the Era of Big Data. Int J Radiat Oncol Biol Phys. 2016 Jul 1;95(3):873-879. doi: 10.1016/j.ijrobp.2016.03.006.
  • Benjamin A. Rifkin, Ackerman MJ. Human Anatomy (From the Renaissance to the Digital Age). New York: Harry N. Abrams; 2006. 344 pages.
  • Bennett AE, Narayan K, Shi D, Hartnell LM, Gousset K, He H, Lowekamp BC, Yoo TS, Bliss D, Freed EO, Subramaniam S. Ion-abrasion scanning electron microscopy reveals surface-connected tubular conduits in HIV-infected macrophages. PLoS Pathog. 2009 Sep;5(9):e1000591. doi: 10.1371/journal.ppat.1000591. Epub 2009 Sep 25.
  • Bergun A, Bodenreider O. An ontology of chemical entities helps identify dependence relations among Gene Ontology terms Proc SMBM-2005
  • Bergun A, Bodenreider O, Mougin F. Classifying diseases with respect to anatomy: a study in SNOMED CT AMIA Annu Symp Proc. 2005:91-5
  • Bergun A, Bodenreider O, Jacquelinet C. Issues in the Classification of Disease Instances with Ontologies Stud Health Technol Inform 2005;116:695-700
  • Biondich PG, Downs SM, Carroll AE, Shiffman RN, McDonald CJ. Collaboration between the medical informatics community and guideline authors: fostering HIT standard development that matters. AMIA Annu Symp Proc. 2006:36-40.
  • Biondich PG, Anand V, Downd SM, McDonald CJ. Using adaptive turnaround documents to electronically acquire structured data in clinical settings. AMIA Annu Symp Proc. 2003:86-90.
  • Biondich PG, Overhage JM, Dexter PR, Downs SM, Lemmon L, McDonald CJ. A modern optical character recognition system in a real world clinical setting: some accuracy and feasibility observations. Proc AMIA Symp. 2002:56-60.
  • 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.
  • 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, 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.
  • Bodenreider O. Multi-lingual features of the Unified Medical Language System. Proc. CLEF-ER 2013 workshop 2013.
  • Bodenreider O. Disease Ontologies In: Dubitzky W, Wolkenhauer O, Cho K-H, Yokota H, editors. Encyclopedia of Systems Biology: Springer; 2013. p. 578-581.
  • 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. API: Prescribable
  • Bodenreider O. Web Interface: RxMix
  • Bodenreider O, Peters L, Nguyen T. Browser and application programming interfaces for drug information sources. AMIA Annu Symp Proc, 2011: p. 2129.
  • Bodenreider O, Peters L, Nguyen T. RxNav: Browser and Application Programming Interfaces for Drug Information Sources [Abstract]. AMIA Annu Symp Proc 2011:2129
  • 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.
  • 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
  • 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. 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.
  • 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/).
  • 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.
  • 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.
  • Bodenreider O. Comparing SNOMED CT and the NCI Thesaurus through Semantic Web Technologies Proc. KR-MED 2008
  • 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
  • Bodenreider O. Semantic Web for Translational Biomedicine: Two Pilot Experiments [Abstract]. Proc. MIA Summit on Translational Bioinformatics 2008:141
  • 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/).
  • Bodenreider O. Issues in Mapping LOINC Laboratory Tests to SNOMED CT AMIA Annu Symp Proc. 2008 Nov 6:51-5
  • 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, 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
  • Bodenreider O, Zhang S. Comparing the Representation of Anatomy in the FMA and SNOMED CT AMIA Annu Symp Proc. 2006:46-50
  • 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, Stevens R. Bio-ontologies: Current Trends and Future Directions Brief Bioinform. 2006 Sep;7(3):256-74. Epub 2006 Aug 9
  • Bodenreider O, Burgun A. Linking the Gene Ontology to other biological ontologies Proc ISMB'2005 SIG meeting on Bio-ontologies 2005:17-18
  • Bodenreider O, Aubry M, Burgun A. Non-Lexical Approaches to Identifying Associative Relations in the Gene Ontology Pac Symp Biocomput. 2005:91-102
  • 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.
  • Bodenreider O, Burgun A. Aligning Knowledge Sources in the UMLS: Methods, Quantitative Results, and Applications Medinfo. 2004 Sept.;2004:327-331.
  • Bodenreider O, Nelson SJ. RxNav: A Semantic Navigation Tool for Clinical Drugs Medinfo. 2004 Sept.;2004: 1530.
  • Bodenreider O. Web Interface: RxNav
  • Bodenreider O, Aubry M, Burgun A. From Functional Similarity Among Gene Products to Dependence Relations Among Gene Ontology Terms Proc SOFG, 2004:53.
  • Bodenreider O, McCray AT. Exploring Semantic Groups Through Visual Approaches J Biomed Inform. 2003 Dec;36(6):414-432.
  • Bodenreider O, Zhang S. Semantic Integration in Biomedicine Proceedings of the Semantic Integration Workshop at the Second International Semantic Web Conference. 2003;: 156-157.
  • Bodenreider O. The Unified Medical Language System (UMLS): Integrating Biomedical Terminology Nucleic Acids Res; Database Issue. 2004;32: 267-70.
  • 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.
  • 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.
  • Bodenreider O, Mitchell JA. Graphical Visualization and Navigation of Genetic Disease Information AMIA Annu Symp Proc. 2003:792.
  • Bodenreider O. Strength in Numbers: Exploring Redundancy in Hierarchical Relations Across Biomedical Terminologies AMIA Annu Symp Proc. 2003:101-5.
  • Bodenreider O. A Semantic Navigation Tool for the UMLS AMIA Annu Symp Proc. 2000;: 971.
  • Bodenreider O, Mitchell JA, McCray AT. Biomedical Ontologies Pacific Symposium on Biocomputing: World Scientific. 2003;:562-564.
  • 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.
  • 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.
  • Bodenreider O, Mitchell JA, McCray AT. Evaluation of the UMLS as a Terminology and Knowledge Resource for Biomedical Informatics Proc AMIA Symp. 2002:61-65.
  • 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.
  • Bodenreider O. Experiences in Visualizing and Navigating Biomedical Ontologies and Knowledge Bases Proc. of the ISMB'SIG meeting; Bio-ontologies. 2002;:29-32.
  • 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.
  • 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.
  • 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, 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.
  • 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.
  • Bodenreider O. An Object-Oriented Model for Representing Semantic Locality in the UMLS Medinfo. 2001 ;10(Pt 1):161-5.
  • Bodenreider O. Circular hierarchical relationships in the UMLS: etiology, diagnosis, treatment, complications and prevention. Proc AMIA Symp. 2001:57-61.
  • Bodenreider O, Zweigenbaum P. Identifying Proper Names in Parallel Medical Terminologies Stud Health Technol Inform. 2000;77:443-7
  • 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.
  • Bodenreider O. Using UMLS semantics for classification purposes. Proc AMIA Symp. 2000:86-90.
  • 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.
  • 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
  • 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
  • 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.
  • 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.
  • Boyce RD, Ryan PB, Noren GN, Schuemie MJ, Reich C, Duke J, Tatonetti NP, Trifiro G, Harpaz R, Overhage JM, Hartzema AG, Kayter M, Voss EA, Lambert CG, Huser V, Dumontier M. Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest. Drug Saf. 2014 Aug;37(8):557-67. doi: 10.1007/s40264-014-0189-0.
  • 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
  • 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
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  • 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
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  • Friedlin J, McDonald CJ. An evaluation of medical knowledge contained in Wikipedia and its use in the LOINC database. J Am Med Inform Assoc. 2010 May-Jun;17(3):283-7. doi: 10.1136/jamia.2009.001180.
  • 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).
  • 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.
  • 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
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  • 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.
  • 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. Dataset: SNOMED CT to ICD-10 Cross Map
  • Fung K. Dataset: SNOMED CT to ICD-10-CM Map
  • 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.
  • Fung K, Scichilone R, Giannangelo K. Benefits and Use Cases of a SNOMED CT to ICD-10 Map. AMIA Annu Symp Proc 2010: 1049.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
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  • Fung KW. Dataset: Nursing Problem List Subset of SNOMED CT
  • 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.
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  • Fung KW. Dataset: CORE problem list of SNOMED CT.
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  • 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.
  • Fung KW, Bodenreider O. Utilizing the UMLS for Semantic Mapping between Terminologies. AMIA Annu Symp Proc. 2005:266-70.
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  • 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.
  • 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.
  • Gartrell K, Trinkoff AM, Storr CL, Wilson ML. Electronic Personal Health Record Use Among Nurses in the Nursing Informatics Community. Comput Inform Nurs. 2015 Jul;33(7):306-14. doi: 10.1097/CIN.0000000000000163.
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  • 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.
  • 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.
  • Golbreich C, Zhang S, Bodenreider O. Migrating the FMA from Protege to OWL Proc of the Eighth International Protege Conference 2005:108-111.
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  • 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.
  • 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.
  • 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.
  • 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
  • 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.
  • 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.
  • Grannis SJ, Overhage JM, McDonald CJ. Real world performance of approximate string comparators for use in patient matching. Stud Health Technol Inform. 2004;107(Pt 1):43-7.
  • Grannis SJ, Overhage JM, Hui S, McDonald CJ. Analysis of a probabilistic record linkage technique without human review. AMIA Annu Symp Proc. 2003:259-63.
  • Grannis SJ, Overhage JM, McDonald CJ. Analysis of identifier performance using a deterministic linkage algorithm. Proc AMIA Symp. 2002:305-9.
  • 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
  • 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
  • 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.
  • Guler, O, Yaniv Z. A tutorial on image guided therapy. Chapter 11 in: Birkfellner W, editor. Applied Medical Image Processing, Second Edition: A Basic Course. London: CRC Press; 2014. ISBN: 9781466555570.
  • 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.
  • 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
  • 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
  • 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.
  • Haerian K, McKeeby J, DiPatrizio G, Cimino JJ. Use of clinical alerting to improve the collection of clinical research data. AMIA Annu Symp Proc. 2009 Nov 14;2009:218-22.
  • Hansen RA, Wanzhu T, Wang J, Ambuehl R, McDonald CJ, Murray MD. Risk of adverse gastrointestinal events from inhaled corticosteroids. 2008 Nov;28(11):1325-34.
  • 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.
  • Harris AK, Meyerson JR, Matsuoka Y, Kuybeda O, Moran A, Bliss D, Das SR, Yewdell JW, Sapiro G, Subbarao K, Subramaniam S. Structure and accessibility of HA trimers on intact 2009 H1N1 pandemic influenza virus to stem region-specific neutralizing antibodies. Proc Natl Acad Sci U S A. 2013 Mar 19;110(12):4592-7. doi: 10.1073/pnas.1214913110. Epub 2013 Mar 4.
  • Harris AK, Meyerson JR, Matsuoka Y, Kuybeda O, Moran A , Bliss D, Das SR, Yewdell J, Sapiro G, Subbarao K, Subramaniam S. Molecular Structures of Native HA Trimers on 2009 H1N1 Pandemic Influenza Virus Complexed with Neutralizing Antibodies. Biophysical Journal. 2013 Jan 29;104(2 Supp 1):414a. 57th Annual Meeting of the Biophysical Society; 2013 Feb 2-6; Philadelphia. DOI: http://dx.doi.org/10.1016/j.bpj.2012.11.2310.
  • 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.
  • 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
  • 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
  • Hersh WR, Weiner MG, Embi PJ, Logan JR, Payne PR, Bernstam EV, Lehmann HP, Hripcsak G, Hartzog TH, Cimino J, Saltz JH. Caveats for the use of operational electronic health record data in comparative effectiveness research. Med Care. 2013 Aug;51(8 Suppl 3):S30-7. doi: 10.1097/MLR.0b013e31829b1dbd.
  • Heymann JAW, Shi D, Kim S, Bliss D, Milne JLS, Subramaniam S. 3D imaging of mammalian cells with ion-abrasion scanning electron microscopy. J Struct Biol. 2009 Apr;166(1):1-7. doi: 10.1016/j.jsb.2008.11.005. Epub 2008 Dec 10.
  • 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.
  • Hole WT, Srinivasan S. Adding NeuroNames to the UMLS Metathesaurus. Neuroinformatics. 2003;1(1):61-3.
  • 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.
  • Hripcsak G, Ryan PB, Duke JD, Shah NH, Park RW, Huser V, Suchard MA, Schuemie MJ, DeFalco FJ, Perotte A, Banda JM, Reich CG, Schilling LM, Matheny ME, Meeker D, Pratt N, Madigan D. Characterizing treatment pathways at scale using the OHDSI network. Proc Natl Acad Sci U S A. 2016 Jul 5;113(27):7329-36. doi: 10.1073/pnas.1510502113. Epub 2016 Jun 6.
  • 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.
  • Hruby GW, Boland MR, Cimino J, Gao J, Wilcox AB, Hirschberg J, Weng C. Characterization of the biomedical query mediation process. AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:89-93. eCollection 2013.
  • 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
  • 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.
  • 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
  • Huang X, Lin J, Demner-Fushman D. Evaluation of PICO as a knowledge representation for clinical questions AMIA Annu Symp Proc. 2006:359-63.
  • Huff SM, Rocha RA, McDonald CJ, De Moor GJ, Fiers T, Bidgood WD Jr, Forrey AW, Francis WG, Tracy WR, Leavelle D, Stalling f, Griffin B, Maloney P, Leland D, Charles L, Hutchins K, Baenziger J. Development of the Logical Observation Identifier Names and Codes (LOINC) vocabulary. J Am Med Inform Assoc. 1998 May-Jun;5(3):276-92.
  • Hume S, Aerts J, Sarnikar S, Huser V. Current applications and future directions for the CDISC Operational Data Model standard: A methodological review. J Biomed Inform. 2016 Apr;60:352-62. doi: 10.1016/j.jbi.2016.02.016. Epub 2016 Mar 2.
  • Hunt S, Cimino J, Koziol DE. A comparison of clinicians' access to online knowledge resources using two types of information retrieval applications in an academic hospital setting. J Med Libr Assoc. 2013 Jan;101(1):26-31. doi: 10.3163/1536-5050.101.1.005.
  • Huser V, Cimino J. Providing pharmacogenomics clinical decision support using whole genome sequencing data as input. AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:81. eCollection 2013.
  • Huser V, Shmueli-Blumberg D. Data sharing platforms for de-identified data from human clinical trials. Clin Trials. 2018 Apr 1:1740774518769655. doi: 10.1177/1740774518769655. [Epub ahead of print]
  • 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.
  • 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.
  • Huser V, Sastry C, Breymaier M, Idriss A, Cimino JJ. Standardizing data exchange for clinical research protocols and case report forms: An assessment of the suitability of the Clinical Data Interchange Standards Consortium (CDISC) Operational Data Model (ODM). J Biomed Inform. 2015 Oct;57:88-99. doi: 10.1016/j.jbi.2015.06.023. Epub 2015 Jul 15.
  • Huser V, Sincan M, Cimino JJ. Developing genomic knowledge bases and databases to support clinical management: current perspectives. Pharmgenomics Pers Med. 2014 Sep 9;7:275-83. doi: 10.2147/PGPM.S49904. eCollection 2014.
  • Huser V, Cimino JJ. Don't take your EHR to heaven, donate it to science: legal and research policies for EHR post mortem. J Am Med Inform Assoc. 2014 Jan-Feb;21(1):8-12. doi: 10.1136/amiajnl-2013-002061. Epub 2013 Aug 21.
  • Huser V, Cimino JJ. Desiderata for healthcare integrated data repositories based on architectural comparison of three public repositories. AMIA Annu Symp Proc. 2013 Nov 16;2013:648-56. eCollection 2013.
  • Huser V, Cimino JJ. Linking ClinicalTrials.gov and PubMed to track results of interventional human clinical trials. PLoS One. 2013 Jul 9;8(7):e68409. doi: 10.1371/journal.pone.0068409. Print 2013.
  • 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.
  • 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.
  • 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.
  • 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 G. 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, 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. Malaria Datasets
  • Jaeger S. Chest X-ray Screening System: Segmentation Module – v3
  • 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.
  • 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.
  • 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.
  • 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, Antani SK, Thoma GR. Automatic Screening For Lung Diseases In Chest Radiographs: a Global Health Initiative [Poster].. NIH Research Festival. October 2012.
  • Jaeger S. An information-theoretic neural model based on concepts in Chinese medicine. 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).
  • 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.
  • Jaeger S, Antani S, Thoma GR. Tuberculosis Screening of Chest Radiographs. 2 June 2011, SPIE Newsroom. DOI: 10.1117/2.1201105.003732i.
  • Jao CS, Fung KW, Demner-Fushman D. Identifying indications for drugs in drug package inserts. AMIA Annual Symposium Proceedings 2010. November 2010
  • 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
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  • 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
  • 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.
  • 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.
  • Jing X, Kay S, Marley T, Hardiker NR, Cimino JJ. Incorporating personalized gene sequence variants, molecular genetics knowledge, and health knowledge into an EHR prototype based on the Continuity of Care Record standard. J Biomed Inform. 2012 Feb;45(1):82-92. doi: 10.1016/j.jbi.2011.09.001. Epub 2011 Sep 17.
  • Jing X, Cimino JJ. Graphical methods for reducing, visualizing and analyzing large data sets using hierarchical terminologies. AMIA Annu Symp Proc. 2011;2011:635-43. Epub 2011 Oct 22.
  • Jing X, Kay S, Hardiker N, Marley T. Ontology-based knowledge base model construction-OntoKBCF. Stud Health Technol Inform. 2007;129(Pt 1):785-90.
  • Jing X, Kay S, Hardiker N. Designing a bio-health information assistant within an EHR. Healthcare Computing 2006: 325-326 (Harrogate, England).
  • Jing X, Kay S, Hardiker NR. Bio-health information: a preliminary review of on-line cystic fibrosis resources. Stud Health Technol Inform. 2005;116:21-6.
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  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Kawamoto K, Jacobs J, Welch BM, Huser V, Paterno MD, Del Fiol G, Shields D, Strasberg HR, Huag PJ, Liu Z, Jenders RA, Rowed DW, Chertcoff D, Fehre K, Adlassnig KP, Curtis C. Clinical information system services and capabilities desired for scalable, standards-based, service-oriented decision support: consensus assessment of the Health Level 7 clinical decision support Work Group. AMIA Annu Symp Proc. 2012;2012:446-55. Epub 2012 Nov 3.
  • Kayaalp M. Why Do We Need Probabilistic Approaches to Ontologies and the Associated Data? AMIA Annu Symp Proc. 2005:1005
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • 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/.
  • 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
  • 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.
  • Kho A, Dexter P, Warvel J, Commiskey M, Wilson S, McDonald CJ. Computerized reminders to improve isolation rates of patients with drug-resistant infections: design and preliminary results. AMIA Annu Symp Proc. 2005:390-4.
  • Kho AN, Lemmon L, Commiskey M, Wilson SJ, McDonald C. Use of a Regional Health Information Exchange to Detect Crossover of Patients with MRSA between Urban Hospitals J Am Med Inform Assoc. 2008 Mar-Apr;15(2):212-6. Epub 2007 Dec 20.
  • Kho AN, Dexter PR, Warvel JS, Belsito AW, Commiskey M, Wilson SJ, Hui SL, McDonald CJ. An Effective Computerized Reminder for Contact Isolation of Patients Colonized or Infected with Resistant Organisms Int J Med Inform. 2008 Mar;77(3):194-8. Epub 2007 Mar 29
  • 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.
  • 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.
  • Kilicoglu H, Rogers W. A Hybrid System for Extracting Chemical-Disease Relationships from Scientific Literature. 2015. BioCreative 5 Proceedings.
  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Kroth PJ, Dexter PR, Overhage JM, Knipe C, Hui SL, Belsito A, McDonald CJ. A computerized decision support system improves the accuracy of temperature capture from nursing personnel at the bedside. AMIA Annu Symp Proc. 2006:444-8.
  • Kroth PJ, Murray MD, McDonald CJ. Undertreatment of osteoporosis in women, based on detection of vertebral compression fractures on chest radiography. Am J Geriatr Pharmacother. 2004 Jun;2(2):112-8.
  • Kroth PJ, Belsito A, Overhage JM, McDonald CJ. Bedside vital signs capture for the non-ICU setting--an open source, PC-based solution. Proc AMIA Symp. 2001:344-8.
  • Kury F, Baik SH, McDonald CJ. Cardioprotective Drugs and Incident Dementias in Medicare's Big Data. AMIA 2017.
  • 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.
  • 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.
  • Kuybeda O, Frank GA, Bartesaghi A, Borgnia M, Subramaniam S, Sapiro G. A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography. J Struct Biol. 2013 Feb;181(2):116-27. doi: 10.1016/j.jsb.2012.10.010. Epub 2012 Oct 27.
  • Laflamme MR, Dexter PR, Graham MF, Hui SL, McDonald CJ. Efficiency, comprehensiveness and cost-effectiveness when comparing dictation and electronic templates for operative reports. AMIA Annu Symp Proc. 2005:425-9.
  • Laflamme MR, Wilcox DC, Sullivan J, Schadow G, Lindbergh D, Warvel J, Buchanan H, Ising T, Abernathy G, Perkins SM, Daggy J, Frankel RM, Dexter P, McDonald CJ, Weiner M. A pilot study of usefulness of clinician-patient videoconferencing for making routine medical decisions in the nursing home. J Am Geriatr Soc. 2005 Aug;53(8):1380-5.
  • 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.
  • 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
  • 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.
  • Leiman D, Twose C, Lee TY, Fletcher A, Yoo T. Rendering an Archive in Three Dimensions. In: Galloway RL Jr, editor. Proceedings of SPIE Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display; 2003 Feb 16-21; San Diego;5029:9 pages. SPIE; 2003 May 30. DOI: 10.1117/12.480210.
  • 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
  • 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.
  • Lin C, Loftin RB, Kakadiaris IA, Chen D, Su S. Interaction with Medical Volume Data on a Projection Workbench. 10th International Conference on Artificial Reality and Telexistence (ICAT 2000); 2000 Oct 25-27; National Taiwan University, Taipei, Taiwan.
  • Lin J, Demner-Fushman D. Semantic clustering of answers to clinical questions. AMIA Annu Symp Proc. 2007 Oct 11:458-62.
  • Lin J, Demner-Fushman D. "Bag of words" is not enough for strength of evidence classification AMIA Annu Symp Proc. 2005:1031.
  • Lin M-C, Vreeman DJ, McDonald CJ, Huff SM. Correctness of Voluntary LOINC Mapping for Laboratory Tests in Three Large Institutions. AMIA Annu Symp Proc. 2010 Nov 13;2010:447-51.
  • Lin MC, Vreeman DJ, McDonald CJ, Huff SM. Auditing consistency and usefulness of LOINC use among three large institutions - using version spaces for grouping LOINC codes. J Biomed Inform. 2012 Aug;45(4):658-66. doi: 10.1016/j.jbi.2012.01.008. Epub 2012 Jan 28.
  • Lin MC, Vreeman DJ, McDonald CJ, Huff SM. A characterization of local LOINC mapping for laboratory tests in three large institutions. Methods Inf Med. 2011;50(2):105-14. doi: 10.3414/ME09-01-0072. Epub 2010 Aug 20.
  • Linte CA, Yaniv Z. Image-Guided Interventions: We've come a long way, but are we there? IEEE Pulse. 2016 Nov-Dec;7(6):46-50.
  • Linte CA, Yaniv Z, Fallavollita P, Abolmaesumi P, Holmes DR III, editors. Augmented Environments for Computer-Assisted Interventions 2014: 9th International AE-CAI Workshop. Held in conjunction with MICCAI 2014. 2014 Sep 14; Boston. Lecture Notes in Computer Science, vol. 8678. Springer; 2014. 149 pages.
  • Linte CA, Yaniv Z. When change happens: computer assistance and image guidance for minimally invasive therapy. Healthcare Technology Letters. 2014 Mar 25;1(1):2-5.
  • Liu F, Fontelo P. Infobuttons Linked to Indivo, a Patient Controlled Health Record. AMIA Annu Symp Proc; 2009 Nov 14-18; San Francisco. p. 940.
  • Liu J, Subramanian KR, Yoo TS. An optical flow approach to tracking colonoscopy video. Comput Med Imaging Graph. 2013 Apr;37(3):207-23. doi: 10.1016/j.compmedimag.2013.01.010. Epub 2013 Mar 13.
  • Liu J, Subramanian K, Yoo TS. A Phantom Design for Validating Colonoscopy Tracking. Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83151N (23 February 2012); doi: 10.1117/12.912395; http://dx.doi.org/10.1117/12.912395
  • Liu J, Subramanian KR, Yoo TS. Temporal Volume Flow: An Approach to Tracking Failure Recovery. In: Summers RM, van Ginneken B, editors. Proceedings of SPIE Medical Imaging 2011: Computer-Aided Diagnosis; 2011 Feb 12-17; Lake Buena Vista, Florida;7963. SPIE; 2011 Mar 4. DOI: 10.1117/12.878220.
  • Liu J, Subramanian K, Yoo TS. Accurate motion parameter estimation for colonoscopy tracking using a regression method. In: Karssemeijer N, Summer RM, editors. Proceedings of SPIE Medical Imaging 2010: Computer-Aided Diagnosis; 2010 Feb 13-18; San Diego;7624:11 pages. DOI: 10.1117/12.844433.
  • Liu J, Subramanian K, Yoo TS. Region flow: a multi-stage method for colonoscopy tracking. Med Image Comput Comput Assist Interv. 2010;13(Pt 2):505-13.
  • Liu J, Subramanian K, Yoo T, Van Uitert R. A Stable Optic-flow Based Method for Tracking Colonoscopy Images. Proceedings of MMBIA 2008, the IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis; 2008 Jun 23-28; Anchorage, Alaska. DOI: 10.1109/CVPRW.2008.4562990.
  • Lomax J, McCray AT. Mapping the Gene Ontology Into the Unified Medical Language System Comparative and Functional Genomics
  • 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
  • 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.
  • 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.
  • 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.
  • Long LR, Thoma GR. Identification and Classification of Spine Vertebrae by Automated Methods Proc. SPIE Medical Imaging: Image Processing. 2001 Feb;:1478-89.
  • 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.
  • 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.
  • Long LR, Thoma GR. Use of Shape Models to Search Digitized Spine X-Rays IEEE Computer-Based Medical Systems. 2000 June;: 255-60.
  • Long LR, Thoma GR. Landmarking and Feature Localization in Spine X-Rays Journal of Electronic Imaging. 2002 Oct; 10(4):939-56.
  • 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
  • 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
  • Long RL, Thoma GR. Segmentation and Image Navigation in Digitized Spine X-Rays Proc. SPIE Medical Imaging: Image Processing. 2000 Feb; 3979: 168-79.
  • 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.
  • Lowekamp B, Chen D. BinShrink: A multi-resolution filter with cache efficient averaging. Insight Journal. Web. 18 November 2013
  • Lowekamp B, Chen D. A Framework for Improved Regression Testing Based Upon CTest and CDash. The Insight Journal. Web. 2009 Jul-Dec.
  • Lowekamp B, Chen D, Santoroski J, Yaniv Z, Yoo TS. Software: SimpleITK.
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  • Lowekamp B, Rheingans P, Yoo TS. Exploring Surface Characteristics with Interactive Gaussian Images (A Case Study). In: Moorhead R, Gross M, Joy KI, editors. Proceedings of IEEE Visualization 2002 (VIS 2002); 2002 Oct 27-Nov 1; Baltimore, Maryland. Piscataway, New Jersey: IEEE Press. p. 553-6. DOI: 10.1109/VISUAL.2002.1183828.
  • Lowekamp B, Yoo TS. Software: Insight Toolkit (ITK): Software for Image Segmentation and Registration.
  • Lowekamp BC, Chen DT, Ibáñez L, Blezek D. The Design of SimpleITK. Front Neuroinform. 2013 Dec 30;7:45. doi: 10.3389/fninf.2013.00045. eCollection 2013.
  • 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.
  • 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]
  • 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.
  • Lynch P, Wang Y, Kanduru A, Luan X, Mericle L, Lu S, McDonald CJ. On-the-Fly Data Capture Tooling for FHIR/HL7 V2 HL7 January 2018 Working Group Meeting, New Orleans, LA
  • 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.
  • Mamlin BW, Heinze DT, McDonald CJ. Automated extraction and normalization of findings from cancer-related free-text radiology reports. AMIA Annu Symp Proc. 2003:420-4.
  • Mann D, Caban JJ, Stolka PJ, Boctor EM, Yoo TS. Multidimensional transfer functions for effective visualization of streaming ultrasound and elasticity images. In: Wong KH, Holmes DR III, editors. Proceedings of SPIE Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling; 2011 Feb 12-17; Lake Buena Vista, Florida;7964:1-8. DOI:10.1117/12.878935.
  • Manning JD, Marciano BE, Cimino J. Visualizing the data - using lifelines2 to gain insights from data drawn from a clinical data repository. AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:168-72. eCollection 2013.
  • 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.
  • 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.
  • Marino-Ramirez L, Bodenreider O, Kantz N, Jordan IK. Co-evolutionary Rates of Functionally Related Yeast Genes Evolutionary Bioinformatics Online 2006;2:295-300.
  • 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.
  • 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.
  • McCray AT. An Upper Level Ontology for the Biomedical Domain Comp Funct Genom. 2003;4:80-4.
  • McCray AT, Bodenreider O, Malley JD, Browne AC. Evaluating UMLS Strings for Natural Language Processing AMIA Annu Symp Proc. 2001;():448-52.
  • McCray AT, Burgun A, Bodenreider O. Aggregating UMLS Semantic Types for Reducing Conceptual Complexity Medinfo. 2001 ;10(Pt 1):216-20.
  • McDonald C, Vreeman D, Goodwin RM. Dataset: LOINC Top 300+ Lab Orders
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  • McDonald CJ, Maglott D, Abhyankar S, Goodwin RM, Kanduru A, Lu S, Lynch P, Vreeman D, Wang Y, Wood G. US Realm, Chapter 14, Use Case – Clinical Genomics Code Systems. in HL7 Version 2.5.1 Implementation Guide: Lab Results Interface (LRI), DTSU3. HL7 International (Ann Arbor).
  • McDonald CJ, Maglott D, Abhyankar S, Goodwin RM, Kanduru A, Lu S, Lynch P, Vreeman D, Wang Y, Wood G. US Realm, Chapter 5, Use Case – Clinical Genomics Results Reporting in HL7 Version 2.5.1 Implementation Guide: Lab Results Interface (LRI), DTSU3. HL7 International (Ann Arbor).
  • McDonald CJ. Logical Observation Identifiers Names and Codes for In Vitro Diagnostic Test; Guidance for Industry and Food and Drug Administration Staff. Silver Spring, Md: Center for Devices and Radiological Health, FDA, 2018.
  • McDonald CJ. FHIR Overview Presentation by Clement J. McDonald, MD
  • McDonald CJ. Top LOINC Codes – Orders and Observations
  • McDonald CJ, Vreeman D, Wang K, Carr C, Colins B, Abhyankar S, Deckard J, Rubin D, Langlotz C. The LOINC/RSNA Radiology Playbook: A unified terminology for radiology procedures. . In 2017 AMIA Symposium. Washington DC.
  • McDonald CJ, Maglott D, Abhyankar S, Goodwin R, Kanduru A, Lu S, Lynch P, Vreeman D, Wang Y, Wood G. HL7 Version 2.5.1 Implementation Guide: Lab Results Interface (LRI), Release 1, STU Release 4. US Realm, Chapter 5, Clinical Genomics Results Reporting. Published for May 2017 Ballot.
  • McDonald CJ, Wang Y, Lynch P, Kanduru A. Feeding FHIR with LHC-Forms HL7 Partners in Interoperability Mt. Washington Conference Center, Baltimore, MD
  • McDonald CJ, Callaghan FM, Weissman A, Goodwin RM, Mundkur M, Kuhn T. Use of internist's free time by ambulatory care Electronic Medical Record systems. JAMA Intern Med. 2014 Nov;174(11):1860-3. doi: 10.1001/jamainternmed.2014.4506.
  • McDonald CJ, Tang PC, Hripcsak G. Electronic Health Record Systems. . In: Shortliffe EH, Cimino JJ, editors. Biomedical Informatics: Computer Applications in Healthcare and Biomedicine 4th ED [Internet]. London: Springer London; 2014. p. 391–421. Available from: http://link.springer.com/10.1007/978-1-4471-4474-8.
  • McDonald CJ. Toward electronic medical record alerts that consume less physician time. JAMA Intern Med. 2013 Oct 14;173(18):1755-6. doi: 10.1001/jamainternmed.2013.9332.
  • 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.
  • McDonald CJ, Vreeman D, Goodwin RM. Dataset: LOINC Top 2000+ Lab Observations and Mapper's Guide
  • McDonald CJ, Tierney WM. The effect of electronic health records on test ordering [Letter}. Health Aff (Millwood). 2012 Jun;31(6):1365; author reply 1366. doi: 10.1377/hlthaff.2012.0471.
  • McDonald CJ, McDonald MH. Electronic medical records and preserving primary care physicians' time: comment on "electronic health record-based messages to primary care providers" [Letter]. Arch Intern Med. 2012 Feb 13;172(3):285-7. doi: 10.1001/archinternmed.2011.1678.
  • McDonald CJ, Abhyankar S, Taft L. Dataset: common units of measure - subset of the Unified Code for Units of Measure.
  • McDonald CJ, Abhyankar S. Clinical decision support and rich clinical repositories: a symbiotic relationship: comment on "Electronic health records and clinical decision support systems". Arch Intern Med. 2011 May 23;171(10):903-5. doi: 10.1001/archinternmed.2010.518. Epub 2011 Jan 24.
  • 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.
  • McDonald CJ. Protecting Patients In Health Information Exchange: A Defense Of The HIPAA Privacy Rule. Health Aff (Millwood). 2009 Mar-Apr;28(2):447-9. doi: 10.1377/hlthaff.28.2.447.
  • McDonald CJ, Hill G. IUPAC Silver Book- Compendium of Terminology and Nomenclature of Properties in Clinical Laboratory Sciences - Chapter 8 - Kinds-of-Quantity of Dimension One. SI Unit 1. Royal Society of Chemistry; 2009. doi:10.1039/978178262245.1-00075.
  • McDonald CJ, Blevins L, Dexter P, Schadow G, Hook J, Abernathy G, Dugan T, Martin A, Phillips R, Davis M. Demonstration of the Indianapolis SPIN Query Tool for De-identified Access to Content of the Indiana Network for Patient Care’s (a Real RHIO) Database [Demo] AMIA Annu Symp Proc. 2006:1194.
  • McDonald CJ. Computerization can create safety hazards: a bar-coding near miss. Ann Intern Med. 2006 Apr 4;144(7):510-6.
  • McDonald CJ, Dexter P, Schadow G, Chueh HC, Agernathy G, Hook J, Blevins L, Overhage JM, Berman JJ. SPIN query tools for de-identified research on a humongous database. AMIA Annu Symp Proc. 2005:515-9.
  • McDonald CJ, Overhage JM, Barnes M, Schadow G, Blevins L, Dexter PR, Mamlin BW. The Indiana network for patient care: a working local health information infrastructure. An example of a working infrastructure collaboration that links data from five health systems and hundreds of millions of entries. Health Aff (Millwood). 2005 Sep-Oct;24(5):1214-20.
  • McDonald CJ, Overhage JM, Mamlin BW, Dexter PD, Tierney WM. Physicians, information technology, and health care systems: a journey, not a destination [Letter]. J Am Med Inform Assoc. 2004 Mar-Apr;11(2):121-4.
  • McDonald CJ, Huff SM, Suico JG, Hill G, Leavelle D, Aller R, Forrey A, Mercer K, DeMoor G, Hook J, Williams W, Case J, Maloney P. LOINC, a universal standard for identifying laboratory observations: a 5-year update. Clin Chem. 2003 Apr;49(4):624-33.
  • McDonald CJ, Shadow G, Barnes M, Dexter P, Overhage M, Mamlin B, McCoy J. Open source software in medical informatics—why, how and what. Int J Med Inform 2003 vol: 69 (2-3) pp: 175-184.
  • McDonald CJ. Hickam 2000: the maturation of, and linkages between, medical informatics and bioinformatics. J Lab Clin Med. 2001 Dec;138(6):359-66.
  • McDonald CJ, Schadow G, Suico J, Overhage JM. Data standards in health care. Ann Emerg Med. 2001 Sep;38(3):303-11.
  • McDonald CJ, Schadow G, Suico J, Heilmann K. Sprechen Sie LOINC. HL7 Mitteilugen, Germany. 2000. P 6-11.
  • McDonald CJ, Overhage JM, Tierney WM, Dexter PR, Martin DK, Suico JG, Zafar A, Schadow G, Blevins L, Glazener T, Meeks-Johnson J, Lemmon L, Warvel J, Porterfield B, Cassidy P, Lindbergh D, Belsito A, Tucker M, Williams B, Wodniak C. The Regenstrief Medical Record System: a quarter century experience. Int J Med Inform. 1999 Jun;54(3):225-53.
  • McDonald CJ, Overhage JM, Dexter PR, Blevins L, Meeks-Johnson J, Suico JG, Tucker MC, Schadow G. Canopy computing: using the Web in clinical practice. JAMA. 1998 Oct 21;280(15):1325-9.
  • McDonald CJ, Overhage JM, Dexter P, Takesue B, Suico JG. What is done, what is needed and what is realistic to expect from medical informatics standards. Int J Med Inform. 1998 Feb;48(1-3):5-12.
  • McDonald CJ, Park BH, Blevins L. Grocers, Physicians, and Electronic Data Processing. AMA Cont Med Ed Newsl. 1983;12:5-8.
  • McGowan JJ, Overhage JM, Barnes M, McDonald CJ. Indianapolis I3: the third generation Integrated Advanced Information Management Systems. J Med Libr Assoc. 2004 Apr;92(2):179-87.
  • Meyerson JR, White TA, Bliss D, Moran A, Bartesaghi A, Borgnia MJ, de la Cruz JV, Schauder D, Hartnell LM, Nandwani R, Dawood M, Kim B, Kim JH, Sununu J, Yang L, Bhatia S, Subramaniam C, Hurt DE, Gaudreault L, Subramaniam S. Determination of molecular structures of HIV envelope glycoproteins using cryo-electron tomography and automated sub-tomogram averaging. J Vis Exp. 2011 Dec 1;(58). pii: 2770. doi: 10.3791/2770.
  • 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.
  • Mitchell JA, McCray AT, Bodenreider O. From Phenotype to Genotype: Navigating the Available Information Resources Proc AMIA Symp. 2002;:1109.
  • 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
  • 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
  • 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.
  • Moorhead R, Johnson C, Munzner T, Pfister H, Rheingans P, Yoo TS. Visualization Corner: Visualization Research Challenges: A Report Summary. IEEE Computing in Science and Engineering. 2006 Jul-Aug;8(4):66-73. DOI: 10.1109/MCSE.2006.77.
  • Morris J, Yoo TS, Chen D, Burgess J, Richardson AC. Computer Assisted Pedicle Screw Trajectory Guidance Using Fused Deposition Modeling. Abstract in Computer Assisted Surgery. 2001.
  • Morse B, Yoo TS, Rheingans P, Chen DT, Subramanian KR. Interpolating Implicit Surfaces From Scattered Surface Data Using Compactly Supported Radial Basis Functions. In: Werner R, editor. Proceedings of the SMI 2001 International Conference on Shape Modeling and Applications; 2001 May 7-11; Genova, Italy. Los Alamitos, California: IEEE Computer Society Press; 2001. p. 89-98.
  • Morse BS, Liu W, Yoo TS, Subramanian KR. Active contours using a constraint-based implicit representation. Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR); 2005 Jun 20-25; San Diego. 285-92. DOI: 10.1109/CVPR.2005.59.
  • Mougin F, Burgun A, Bodenreider O. Comparing Drug-class Membership in ATC and NDF-RT Proc IHI 2012 2012:437-443
  • 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.
  • 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).
  • 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
  • Mougin F, Bodenreider O. Auditing the NCI Thesaurus with Semantic Web Technologies AMIA Annu Symp Proc. 2008 Nov 6:500-4
  • 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
  • Mougin F, Bodenreider O. Comparing Two Approaches to Eliminating Cycles in Terminological Systems Proc RFIA 2006
  • 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.
  • 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
  • Mougin F, Bodenreider O. Approaches to Eliminating Cycles in the UMLS Metathesaurus: Naive vs. Formal AMIA Annu Symp Proc. 2005:550-4
  • 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.
  • 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.
  • Munzner T, Johnson C, Moorhead R, Pfister H, Rheingans P, Yoo TS. Visualization Viewpoints: NIH-NSF Visualization Research Challenges Report Summary. IEEE Computer Graphics and Applications. 2006 Mar-Apr;26(2):20-24.
  • Murphy GE, Narayan K, Lowekamp B, Hartnell LM, Heymann JA, Fu J, Subramaniam S. Correlative 3D imaging of whole mammalian cells with light and electron microscopy. J Struct Biol. 2011 Dec;176(3):268-78. doi: 10.1016/j.jsb.2011.08.013. Epub 2011 Sep 1.
  • Murphy GE, Lowekamp B, Zerfas PM, Chandler RJ, Narasimha R, Venditti CP, Subramaniam S. Ion-abrasion scanning electron microscopy reveals distorted liver mitochondrial morphology in murine methylmalonic acidemia. J Struct Biol. 2010 Aug;171(2):125-32. doi: 10.1016/j.jsb.2010.04.005. Epub 2010 Apr 23.
  • Murray MD, Harris LE, Overhage JM, Zhou XH, Eckert GJ, Smith FE, Buchanan NN, Wolinsky FD, McDonald CJ, Tierney WM. Failure of computerized treatment suggestions to improve health outcomes of outpatients with uncomplicated hypertension: results of a randomized controlled trial. Pharmacotherapy. 2004 Mar;24(3):324-37.
  • Murray MD, Smith FE, Fox J, Teal EY, Kesterson JG, Stiffler TA, Ambuehl RJ, Wang J, Dibble M, Benge DO, Betley LJ, Tierney WM, McDonald CJ. Structure, functions, and activities of a research support informatics section. J Am Med Inform Assoc. 2003 Jul-Aug;10(4):389-98. Epub 2003 Mar 28.
  • Nagy DA, Haidegger T, Yaniv Z. A framework for semi-automatic fiducial localization in volumetric images. In: Linte CA, Yaniv Z, Fallavollita P, Abolmaesumi P, Holmes DR III, editors. Augmented Environments for Computer-Assisted Interventions 2014: Proceedings of 9th International AE-CAI Workshop; 2014 Sep 14; Boston. Lecture Notes in Computer Science vol. 8678. Springer; 2014. p. 138-48.
  • Narayan K, Danielson CM, Lagarec K, Lowekamp BC, Coffman P, Laquerre A, Phaneuf MW, Hope TJ, Subramaniam S. Multi-resolution correlative focused ion beam scanning electron microscopy: applications to cell biology. J Struct Biol. 2014 Mar;185(3):278-84. doi: 10.1016/j.jsb.2013.11.008. Epub 2013 Dec 1.
  • Nelson SJ, Zeng K, Bodenreider O. MyMedicationList: Integrating Personal Medication Records with Resources AMIA Annu Symp Proc. 2008 Nov 6:1228
  • 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.
  • Nelsonn SD, Parker J, Lario R, Winnenburg R, Erlbaum MS, Lincoln MJ, Bodenreider O. Interoperability of medication classification systems: Lessons learned mapping estab-lished pharmacologic classes (EPCs) to SNOMED CT. Stud Health Technol Inform. 2017;245:920-924.
  • Neve L, Long LR, Antani SK. Software: Boundary Marking Tool 2 (BMT2)
  • 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.
  • 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/)
  • 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.
  • O'Brien JF, Yoo TS, editors. Modern Techniques for Implicit Modeling. Tutorial Notes for ACM SIGGRAPH 2005: the 32nd International Conference on Computer Graphics and Interactive Techniques; 2005 Jul 31-Aug 4; Los Angeles. 300 pages.
  • 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.
  • Olesen H, Ibsen I, Bruunshuus I, Kenny D, Dybkaer R, Fuentes-Arderiu X, Hill G, Soares de Araujo P, McDonald CJ. Properties and Units in the Clinical Laboratory Sciences. Part X. Pure Appl Chem 2000 vol: 72 (5) pp: 889-962.
  • 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.
  • Overhage J, Tierney W, McDonald CJ. Clinical Decision Support in Ambulatory Care Tools, Trials, and Tribulations. J Health Manag 1999 vol: 13 (2) pp: 67-79.
  • Overhage JM, Grannis S, McDonald CJ. A comparison of the completeness and timeliness of automated electronic laboritory reporting and spontaneous reporting of notifiable conditions. Am J Public Health. 2008 Feb;98(2):344-50. Epub 2008 Jan 2
  • Overhage JM, Dexter PR, Perkins SM, Cordell WH, McGoff J, McGrath R, McDonald CJ. A randomized, controlled trial of clinical information shared from another institution. Ann Emerg Med. 2002 Jan;39(1):14-23.
  • Overhage JM, Aisen A, Barnes M, Tucker M, McDonald CJ. Integration of radiographic images with an electronic medical record. Proc AMIA Symp. 2001:513-7.
  • Overhage JM, Suico J, McDonald CJ. Electronic laboratory reporting: barriers, solutions and findings. J Public Health Manag Pract. 2001 Nov;7(6):60-6.
  • Overhage JM, Perkins S, Tierney WM, McDonald CJ. Controlled trial of direct physician order entry: effects on physicians' time utilization in ambulatory primary care internal medicine practices. J Am Med Inform Assoc. 2001 Jul-Aug;8(4):361-71.
  • Pan H, Tryka KA, Vreeman DJ, Huggins W, Phillips MJ, Mehta JP, Phillips JH, McDonald C, Junkins HA, Ramos EM, Hamilton CM. Using PhenX measures to identify opportunities for cross-study analysis. Hum Mutat. 2012 May;33(5):849-57. doi: 10.1002/humu.22074. Epub 2012 Apr 3.
  • Pan X, Cimino JJ. Locating relevant patient information in electronic health record data using representations of clinical concepts and database structures. AMIA Annu Symp Proc. 2014 Nov 14;2014:969-75. eCollection 2014.
  • Patel CO, Cimino JJ. Using Semantic and Structural Properties of the UMLS to Discover Potential Terminological Relationships AMIA Annu Symp Proc. 2008 Nov 6:555.
  • Payne TH, Corley S, Cullen TA, Gandhi TK, Harrington L, Kuperman GJ, Makar E, Mattison JE, McCallie DP, McDonald CJ, Tang PC, Tierney WM, Weaver C, Weir CR, Zaroukian MH. Report of the AMIA EHR-2020 Task Force on the status and future direction of EHRs J Am Med Inform Assoc. 2015 Sep;22(5):1102-10. doi: 10.1093/jamia/ocv066. Epub 2015 May 28.
  • Pearson G, Gill MJ. An Evaluation of Motion JPEG 2000 for Video Archiving. Proc. Archiving 2005. Washington, D.C. April 2005:237-43.
  • 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.
  • 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.
  • Peters L, Nguyen T, Bodenreider O. Displaying drug classes in RxNav [Poster]. AMIA Annu Symp Proc, 2013: p. 1134.
  • 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.
  • Peters L, Nguyen T, Bodenreider O. RxBatch – Batch operations for RxNorm and NDF-RT APIs (Poster). AMIA Annu Symp Proc, 2012: p. 1897.
  • 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.
  • 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.
  • Peters L, Bodenreider O. Using the RxNorm Web Services API for Quality Assurance Purposes AMIA Annu Symp Proc. 2008 Nov 6:591-5.
  • 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.
  • Pontet F, Magdal Petersen U, Fuentes-Arderiu X, Nordin G, Bruunshuus I, Ihalainen J, Karlsson D, Forsum U, Dybkaer R, Schadow G, Kuelpmann W, Ferard G, Kang D, McDonald C, Hill G. Clinical laboratory sciences data transmission: the NPU coding system. Stud Health Technol Inform. 2009;150:265-9.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • 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.
  • 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.
  • Rajaraman S, Jaeger S, Antani SK. Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images. PeerJ 7:e6977
  • 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, 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, 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.
  • 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, 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.
  • 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).
  • 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, 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • Ratiu P, Hillen B, Glaser J, Jenkins DB. Visible Human 2.0 - The Next Generation. In: Westwood JD, Hoffman HM, Mogel GT, Phillips R, Robb RA, Stredney D, editors. Stud Health Technol Inform [Studies in Health Technology and Informatics] -- Proceedings of the 11th annual Medicine Meets Virtual Reality conference; 2003 Jan;94:275-81. Amsterdam: IOS Press.
  • Ren H, Campos-Nanez E, Yaniv Z, Banovac F, Abeledo H, Hata N, Cleary K. Treatment planning and image guidance for radiofrequency ablation of large tumors. IEEE J Biomed Health Inform. 2014 May;18(3):920-8. doi: 10.1109/JBHI.2013.2287202. Epub 2013 Oct 24.
  • 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
  • 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.
  • 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.
  • 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
  • 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.
  • 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
  • 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.
  • 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
  • Russler DC, Schadow G, Mead C, Snyder T, Quade LM, McDonald CJ. Influences of the Unified Service Action Model on the HL7 Reference Information Model. Proc AMIA Symp. 1999:930-4.
  • 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
  • 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)
  • 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.
  • 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
  • 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.
  • Sarkar IN, Cantor MN, Bodenreider O, Lussier YA. GenesTraceTM: Biological Knowledge Discovery via Structured Terminology MedInfo.
  • 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.
  • Schadow G, McDonald CJ. Extracting structured information from free text pathology reports. AMIA Annu Symp Proc. 2003:584-8.
  • Schadow G, Grannis S, McDonald CJ. Privacy-Preserving Distributed Queries for a Clinical Case Research Network. IEEE International Conference on Data Mining Workshop on Privacy, Security, and Data Mining City: Maebashi City, Japan 2002 vol: 14 pp: 55-65.
  • Schadow G, Russler DC, McDonald CJ. Conceptual alignment of electronic health record data with guideline and workflow knowledge. Int J Med Inform. 2001 Dec;64(2-3):259-74.
  • Schadow G, Barnes MR, McDonald CJ. Representing and querying conceptual graphs with relational database management systems is possible. Proc AMIA Symp. 2001:598-602.
  • Schadow G, Russler DC, Mead CN, McDonald CJ. Integrating medical information and knowledge in the HL7 RIM. Proc AMIA Symp. 2000:764-8.
  • Schadow G, Russler DC, McDonald CJ. Conceptual integration of guidelines and workflow into the electronic health record. Stud Health Technol Inform. 2000;77:807-11.
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  • Schauder DM, Kuybeda O, Zhang J, Klymko K, Bartesaghi A, Borgnia MJ, Mayer ML, Subramaniam S. Glutamate receptor desensitization is mediated by changes in quaternary structure of the ligand binding domain. Proc Natl Acad Sci U S A. 2013 Apr 9;110(15):5921-6. doi: 10.1073/pnas.1217549110. Epub 2013 Mar 25.
  • 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.
  • 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
  • Sears C, Prescott V, McDonald CJ. The Indiana Network for Patient Care: A Case Study of a Successful Healthcare Data Sharing Agreement. Am Bar Assoc Health eSource. Sept 2005; 2(1), p1-15.
  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • Simonaitis L, McDonald CJ. Using National Drug Codes and drug knowledge bases to organize prescription records from multiple sources. Am J Health Syst Pharm. 2009 Oct 1;66(19):1743-53. doi: 10.2146/ajhp080221.
  • 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.
  • Song D, Kim E, Huang X, Patruno J, Munoz-Avila H, Heflin J, Long LR, Antani SK. Multimodal entity coreference for cervical dysplasia diagnosis. IEEE Transactions on Medical Imaging, 34(1), January 2015, 229-245.
  • 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.
  • 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.
  • 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.
  • 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
  • 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
  • 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
  • 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.
  • 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.
  • 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.
  • Sylim P, Liu F, Marcelo A, Fontelo P. Blockchain Technology for Detecting Falsified and Substandard Drugs in Distribution: Pharmaceutical Supply Chain Intervention. JMIR Res Protoc. 2018 Sep 13;7(9):e10163. doi: 10.2196/10163.
  • 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.
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  • 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.
  • 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
  • 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
  • Thoma GR. Public Access to Anatomic Images Chapter in: Medical Informatics: Knowledge Management and Data Mining in Biomedicine
  • Thoma GR, Razi A, Seamans J, Strupp-Adams A, Edwards L, Gao J, Ledoux MT. Dataset: AnatQuest
  • Thomas SM, Mamlin B, Schadow G, McDonald CJ. A successful technique for removing names in pathology reports using an augmented search and replace method. Proc AMIA Symp. 2002:777-81.
  • Thomas SM, Overhage JM, Warvel J, McDonald CJ. A comparison of a printed patient summary document with its electronic equivalent: early results. Proc AMIA Symp. 2001:701-5.
  • Tierney VM, Overhage JM, Murray MD, Harris LE, Zhou XH, Eckert GJ, Smith FE, Nienaber N, McDonald CJ, Wolinsky FD. Effects of computerized guidelines for managing heart disease in primary care. J Gen Intern Med. 2003 Dec;18(12):967-76.
  • Tolentino HD, Liu F, Sagaram D, Kamadjeu R, Fontelo P, Kohl K, Payne D. Creating a Vaccine Adverse Event Ontology for Public Health. AMIA Annu Symp Proc [Proceedings of the American Medical Informatics Association Annual Symposium]; 2005 Oct 22-26; Washington DC. p. 978.