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  • Ackerman MJ, Siegel, E, Wood, F. Interactive Science Publishing: A joint OSA-NLM project. Information Services & Use. 2010 Jan-Feb;30:39-50. DOI: 10.3233/ISU-2010-0612.
  • 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. Dataset: Visible Human Project reference data sets.
  • Ahlers C, Fiszman M, Demner-Fushman D, Lang F, Rindflesch TC. Extracting Semantic Predications from MEDLINE Citations for Pharmacogenomics Pacific Symposium on Biocomputing 2007 12:209-220
  • Ahlers CB, Hristovski D, Kilicoglu H, Rindflesch TC. Using the Literature-based Discovery Paradigm to Investigate Drug Mechanisms AMIA Annu Symp Proc. 2007 Oct 11:6-10
  • 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.
  • Altemus AR. Mobile App: Native Voices: Native Peoples' Concepts of Health and Illness
  • Anne A, Bagayoko C, Fontelo P. Evaluation de BabelMeSH en Francais. IRBM 2009. DOI: 10.1016/j.irbm.2009.06.006.
  • 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, Crandall D, Kasturi R. Robust Extraction of Text in Video International Conference of Pattern Recognition. 2000 Sept.;1:1445-9.
  • 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, You D, Simpson M, Rahman M, Demner-Fushman D, Thoma GR. The role of image modality and visual characteristics in archiving biomedical images. Proc of IS&T Archiving Conference. Volume 2013, Number 1, 2013, pp. 31-35.
  • 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.
  • Apostolova E, You D, Xue Z, Antani SK, Demner-Fushman D, Thoma GR. Image Retrieval From Scientific Publications: Text and Image Content Processing To Separate Multipanel Figures. JASIST (Journal of the American Society for Information Science and Technology), 64(5):893–908, 2013.
  • Apostolova E, Channin DS, Demner-Fushman D, Furst J, Lytinen S, Raicu D. Automatic segmentation of clinical texts. 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, 2009, pp. 5905-5908. doi: 10.1109/IEMBS.2009.5334831
  • Aronson AR, Lang FM. An overview of MetaMap: historical perspective and recent advances. J Am Med Inform Assoc. 2010 May-Jun;17(3):229-36. doi: 10.1136/jamia.2009.002733.
  • Aronson AR, Lang FM. The Evolution of MetaMap, a Concept Search Program for Biomedical Text AMIA Annu Symp Proc. 2009 Nov:22
  • Aronson AR, Mork JG, Neveol A, Shooshan SE, Demner-Fushman D. Methodology for Creating UMLS Content Views Appropriate for Biomedical Natural Language Processing AMIA Annu Symp Proc. 2008 Nov 6:21-5
  • Aronson AR, Bodenreider O, Demner-Fushman D, Fung KW, Lee VK, Mork JG, Névéol A, Peters L, Rogers WJ. From indexing the biomedical literature to coding clinical text: experience with MTI and machine learning approaches. Proc 2007 Workshop BioNL'07, June 2007, pp. 105-112, Prague, Czech Republic.
  • Aronson AR. API: Semantic Knowledge Representation
  • Aronson AR, Demner-Fushman D, Humphrey SM, Lin J, Liu H, Ruch P, Ruiz ME, Smith LH, Tanabe LK, Wilbur WJ. Fusion of Knowledge-intensive and Statistical Approaches for Retrieving and Annotating Textual Genomics Documents Proc TREC 2005, 36-45
  • Aronson AR, Demner-Fushman D, Humphrey SM, Ide NC, Kim W, Liu H, Loane RF, Mork JG, Smith LH, Tanabe LK, Wilbur WJ, Xie N. Knowledge-intensive and statistical approaches to the retrieval and annotation of genomics MEDLINE citations. The Thirteenth Text Retrieval Conference (TREC 2004). 2004:503-11.
  • Aronson AR, Mork JG, Gay CW, Humphrey SM, Rogers W. The NLM Indexing Initiative's Medical Text Indexer. Stud Health Technol Inform. 2004;107(Pt 1):268-72.
  • Aronson AR, Bodenreider O, Chang HF, Humphrey SM, Mork JG, Nelson SJ, Rindflesch TC, Wilbur WJ. The NLM Indexing Initiative. Proc AMIA Symp. 2000:17-21.
  • Ash J, Sittig D. Everything Electronic Medical Records: Systems, Standards and Studies Conversations with Medical Informatics Pioneers: An oral history project.
  • Ash JS (Interviewer and Editor), Sittig DF (Interviewer and Editor), Goodwin RM (Editor). Introduction Conversations with Medical Informatics Pioneers: An oral history project.
  • Bakker TA, Ryce AN, Logan RA, Tse T, Hutcherson LY. A Consumer Health Informatics (CHI) Toolbox: Challenges and Implications AMIA Annu Symp Proc. 2005:21-5
  • Balkanyi L, Schulz S, Cornet R, Bodenreider O. Medical concept representation: the years beyond 2000 [Poster]. Stud Health Technol Inform. 2013;192:1011.
  • Bangalore A, Browne AC, Divita G. UMLSKS SUGGEST: an auto-complete feature for the UMLSKS interface using AJAX. AMIA Annu Symp Proc. 2006:851.
  • Bangalore AK, Divita G, Humphrey SM, Browne AC, Thorn KE. Automatic Categorization of Google Search Results for Medical Queries using JDI Medinfo 2007: Proc. of the 11th World Congress on Health (Medical) Informatics
  • Barnett GO, Ash JS (Interviewer and Editor), Sittig DF (Interviewer and Editor), Goodwin RM (Editor). From "Farm Boy" to Director of the Laboratory of Computer Science: 2004 Interview of G. Octo Barnett Conversations with Medical Informatics Pioneers: An oral history project.
  • Bashyam V, Divita G, Bennett DB, Browne AC, Taira RK. A normalized lexical lookup approach to identifying UMLS concepts in free text. Stud Health Technol Inform. 2007;129(Pt 1):545-9.
  • Beaudoin DE, Longo N, Logan RA, Jones JP, Mitchell JA. Using information prescriptions to refer patients with metabolic conditions to the Genetics Home Reference website. J Med Libr Assoc. 2011 Jan;99(1):70-6. doi: 10.3163/1536-5050.99.1.012.
  • Beaudoin DE, Rocha RA, Tse T. Enhancing Access to Patient Education Information: A Pilot Usability Study AMIA Annu Symp Proc. 2005:892
  • Ben Abacha A, Hasan SA, Datls W, Liu J, Demner-Fushman D, Muller H. VQA-Med: Overview of the medical visual question answering task at imageclef 2019. CEUR Workshop Proceedings, 9-12, 2019.
  • Ben Abacha A, Mrabet Y, Sharp M, Goodwin T, Shooshan S, Demner-Fushman D. Bridging the Gap Between Consumers’ Medication Questions and Trusted Answers. Stud Health Technol Inform. 2019 Aug 21;264:25-29. doi: 10.3233/SHTI190176.
  • Ben Abacha A, Shivade C, Demner-Fushman D. Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering. Proceedings of the 18th BioNLP Workshop and Shared Task, Florence, Italy, August 1, 2019.
  • Ben Abacha A, Shivade C, Demner-Fushman D. Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering. Proceedings of the BioNLP 2019 workshop.
  • Ben Abacha A, Demner-Fushman D. On the Summarization of Consumer Health Questions. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy 2019.
  • Ben Abacha A, Demner-Fushman D. On the Role of Question Summarization and Information Source Restriction in Consumer Health Question Answering. Proceedings of the AMIA 2019 Informatics Summit, San Francisco, CA, USA, March 25-28, 2019.
  • Ben Abacha A, Demner-Fushman D. On the role of question summarization and information source restriction in consumer health question answering. In Proceedings of the AMIA 2019 Informatics Summit, San Francisco, CA, USA, 2019.
  • 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, Long LR, Seco de Herrera AG, Antani SK, Wang K, Demner-Fushman D. Named Entity Recognition in Functional Neuroimaging Literature. BIBM 2017
  • Ben Abacha A, De Herrera A, Gayen S, Demner-Fushman D, Antani SK. NLM at ImageCLEF 2017 Caption Task. International Conference of the Cross-Language Evaluation Forum for European Languages 2017 Sep 11 (pp. 358-360). Springer, Cham.
  • Ben Abacha A, Demner-Fushman D. Recognizing Question Entailment for Medical Question Answering. AMIA Annu Symp Proc. 2017 Feb 10;2016:310-318. eCollection 2016.
  • Ben Abacha A, Demner-Fushman D. NLM_NIH at SemEval-2017 Task 3: from Question Entailment to Question Similarity for Community Question Answering. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval@ACL) 2017: 349-352.
  • 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.
  • Ben Abacha A, Demner-Fushman D. Meta-Learning with Selective Data Augmentation for Medical Entity Recognition. International Journal of Computational Linguistics and Applications (IJCLA) 7(2): 167-182 (2016)
  • Benjamin A. Rifkin, Ackerman MJ. Human Anatomy (From the Renaissance to the Digital Age). New York: Harry N. Abrams; 2006. 344 pages.
  • Bennett A, Liu J, Van Ryk D, Bliss D, Arthos J, Henderson RM, Subramaniam S. Cryoelectron Tomographic Analysis of an HIV-neutralizing Protein and Its Complex with Native Viral gp120 J Biol Chem. 2007 Sep 21;282(38):27754-9. Epub 2007 Jun 28
  • 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.
  • Bernhardt PJ, Humphrey SM, Rindflesch TC. Determining Prominent Subdomains in Medicine. AMIA Annu Symp Proc. 2005:46-50.
  • Bhupatiraju R, Huser V, Fung K. Phenotype modelling tools utilizing standardized EHR data in a Common Data Model format [Poster]. NIH Research Festival 2017.
  • Bhupatiraju R, Fung K, Bodenreider O. MetaMapLite in Excel: Biomedical named-entity recognition for non-technical users. Stud Health Technol Inform (Proc Medinfo): 1252.
  • Blake C, Rindflesch TC. Leveraging syntax to better capture the semantics of elliptical coordinated compound noun phrases. J Biomed Inform. 2017 Aug;72:120-131. doi: 10.1016/j.jbi.2017.07.001. Epub 2017 Jul 4.
  • Bodenreider O, Peters L, Nguyen T. RxClass – Navigating between Drug Classes and RxNorm Drugs (Demo). Prc. ICBO 2014
  • Bodenreider O, Burgun A. Desiderata for an Ontology of Diseases for the Annotation of Biological Datasets Proc ICBO 2009:39-42
  • 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
  • Browne AC, Kayaalp M, Dodd Z, Sagan, P, McDonald CJ. The Challenges of Creating a Gold Standard for De-identification Research. AMIA Annu Symp Proc. 2014 Nov 14;2014:353-8. eCollection 2014.
  • Browne AC, Divita Guy, Aronson AR, McCray AT. Language and Vocabulary Tools AMIA Annu Symp Proc. 2003:798.
  • 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
  • Burgun A, Bodenreider O. Issues in Integrating Epidemiology and Research Information in Oncology: Experience with ICD-O3 and the NCI Thesaurus AMIA Annu Symp Proc. 2007 Oct 11:85-9
  • Butan C, Hartnell LM, Fenton AK, Bliss D, Sockett RE, Subramaniam S, Milne JL. Spiral architecture of the nucleoid in Bdellovibrio bacteriovorus. J Bacteriol. 2011 Mar;193(6):1341-50. doi: 10.1128/JB.01061-10. Epub 2010 Dec 10.
  • Caban JJ, Rosebrock A, Yoo TS. Automatic identification of prescription drugs using shape distribution models. In: 19th IEEE International Conference on Image Processing (ICIP); 2012 Sep 30-Oct 3; Lake Buena Vista, Florida. p. 1005-8. DOI: 10.1109/ICIP.2012.6467032
  • Caban JJ, Rheingans P, Yoo TS. An Evaluation of Visualization Techniques to Illustrate Statistical Deformation Models. Computer Graphics Forum. 2011 May-Jun;30(3):821-30. doi:10.1111/j.1467-8659.2011.01931.x.
  • Caban JJ, Yao J, Mollura DJ, Liao D, Yoo TS. Enhancing image analytic tools by fusing quantitative physiological values with image features. In: SIIM [Society for Imaging Informatics in Medicine] 2011 Scientific Abstract Book. SIIM Annual Meeting Learning Track 1 Scientific Sessions: Advanced Visualization: Making Advanced Visualization Tools Work for You; 2011 Jun 2-5; Washington DC/National Harbor, Maryland.
  • Caban JJ, Liao D, Yao J, Mollura DJ, Gochuico B, Yoo TS. Enhancing image classification models with multimodal biomarkers. In: Summers RM, van Ginneken B, editors. Proceedings of SPIE Medical Imaging 2011: Computer-Aided Diagnosis; 2011 Feb 12-17; Lake Buena Vista (Orlando area), Florida;7963:9 pages. DOI: 10.1117/12.878084.
  • Caban JJ, Rheingans P, Yoo TS. An MRF-based Statistical Deformation Model for Morphological Image Analysis. IEEE Computer Society Workshop on Mathematical Models in Biomedical Image Analysis (MMBIA); 2010 Jun 14; San Francisco:31-8.
  • Cairelli M, Rindflesch TC. Identifying Potential Biomarkers for Mild Traumatic Brain Injury by Mining Semantic Relations from MEDLINE Citations [Poster[. 2011 Trauma Spectrum Conference, Bethesda, MD, December 9, 2011.
  • Cairelli M, Rindflesch TC. Hierarchical Summarization of Concepts for Visual Discovery Browsing - a Pilot Study [abstract and demo]. Procedings of the IEEE VisWeek Workshop on Visual Analytics in Healthcare, October 23, 2011, Providence, RI, 37-40.
  • Cairelli MJ, Fiszman M, Zhang H, Rindflesch TC. Networks of neuroinjury semantic predications to identify biomarkers for mild traumatic brain injury. J Biomed Semantics. 2015 May 18;6:25. doi: 10.1186/s13326-015-0022-4. eCollection 2015.
  • Cairelli MJ, Miller CM, Fiszman M, Workman TE, Rindflesch TC. Semantic MEDLINE for discovery browsing: using semantic predications and the literature-based discovery paradigm to elucidate a mechanism for the obesity paradox. AMIA Annu Symp Proc. 2013 Nov 16;2013:164-73. eCollection 2013.
  • Califf RM, Zarin DA, Kramer JM, Sherman RE, Aberle LH, Tasneem A. Characteristics of clinical trials registered in ClinicalTrials.gov, 2007-2010. JAMA. 2012 May 2;307(17):1838-47. doi: 10.1001/jama.2012.3424.
  • Cameron D, Kavuluru R, Rindflesch TC, Sheth AP, Thirunarayan K, Bodenreider O. Context-driven automatic subgraph creation for literature-based discovery. J Biomed Inform. 2015 Apr;54:141-57. doi: 10.1016/j.jbi.2015.01.014. Epub 2015 Feb 7.
  • Candemir S, Antani SK. A review on lung boundary detection in chest X-rays. Int J Comput Assist Radiol Surg. 2019 Feb 7. doi: 10.1007/s11548-019-01917-1.
  • Candemir S, Rajaraman S, Thoma GR, Antani SK. Deep Learning for Grading Cardiomegaly Severity in Chest X-rays: An Investigation. Proc. IEEE Life Sciences Conference (LSC 2018), Montreal, Quebec, Canada, 28 – 30 October 2018. pp. 109-113.
  • Candemir S, Antani SK, Xue Z, Thoma GR. Novel Method for Storyboarding Biomedical Videos for Medical Informatics. 30th IEEE International Symposium on Computer-Based Medical Systems
  • Candemir S. Chest X-ray Screening System: Segmentation Module – v3
  • Candemir S, Jaeger S, Antani S, Bagci U, Folio LR, Xu Z, Thoma G. Atlas-based rib-bone detection in chest X-rays. Comput Med Imaging Graph. 2016 Jul;51:32-9. doi: 10.1016/j.compmedimag.2016.04.002. Epub 2016 Apr 13.
  • Candemir S, Jaeger S, Lin W, Xue Z, Antani SK, Thoma GR. Automatic heart localization and radiographic index computation in chest x-rays. Proc. SPIE. 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 978517. DOI: 10.1117/12.2217209.
  • Candemir S, Borovikov E, KC S, Antani SK, Thoma GR. RSILC: Rotation- and Scale-Invariant, Line-based Color-aware descriptor. Image and Vision Computing, Volume 42, October 2015, Pages 1-12, ISSN 0262-8856. doi:10.1016/j.imavis.2015.06.010.
  • Candemir S, Antani SK, Jaeger SR, Thoma GR. Lung boundary detection in pediatric chest x-rays. Proc. SPIE. 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 94180Q. (March 17, 2015) doi: 10.1117/12.2081060.
  • Candemir S, Jaeger S, Palaniappan K, Musco J, Singh RK, Xue Z, Karargyris A, Antani SK, Thoma GR, McDonald CJ. Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration. IEEE Trans Med Imaging. 2014 Feb;33(2):577-90. doi: 10.1109/TMI.2013.2290491. Epub 2013 Nov 13.
  • Candemir S, Jaeger S, Palaniappan K, Antani SK, Thoma GR. Graph Cut Based Automatic Lung Boundary Detection in Chest Radiographs. 1st Annual IEEE Healthcare Innovation Conference of the IEEE EMBS Houston, Texas USA, 7 - 9 November, 2012.
  • Castle PE, Jeronimo J, Schiffman M, Herroro R, Rodriguez AC, Bratti MC, Hildesheim A, Wacholder S, Long LR, Neve L, Pfeiffer R, Burk RD. Age-related changes of the cervix influence human papillomavirus type distribution Cancer Res. 2006 Jan 15;66(2):1218-24.
  • Chachra S, Ben Abacha A, Shooshan SE, Rodriguez L, Demner-Fushman D. A Hybrid Approach to Generation of Missing Abstracts in Biomedical Literature. Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers: 1093-1100.
  • Chachra S, Xue Z, Antani SK, Demner-Fushman D, Thoma GR. Extraction and Labeling High-resolution Images from PDF Documents. Proc. SPIE 9021, Document Recognition and Retrieval XXI, 90210Q (December 27, 2013). doi:10.1117/12.2042336.
  • Chang Y, Antani S, Lee DJ, Gledhill K, Long LR, Christensen P. CBIR of Spine X-ray Images on Inter-vertebral Disc Space and Shape Profiles Proc IEEE CBMS. Jyvaskyla, Finland. June 2008:224-9.
  • Chatain GP, Patronas N, Smirniotopoulos J, James G, Piazza M, Benzo S, Ray-Chaudrury A, Sharma S, Lodish M, Nieman L, Stratakis CA, Chittiboina P. Potential utility of FLAIR in MRI-negative Cushing's disease. J Neurosurg. 2017 Oct 13:1-9. doi: 10.3171/2017.4.JNS17234.
  • Chen D, Chittajallu DR, Passalis G, Kakadiaris IA. Computational tools for quantitative breast morphometry based on 3D scans. Ann Biomed Eng. 2010 May;38(5):1703-18. doi: 10.1007/s10439-010-9971-z. Epub 2010 Mar 19.
  • Chen D, Morse BS, Lowekamp B, Yoo TS. Hierarchically partitioned implicit surfaces for interpolating large point set models. In: Kim M-S, Shimada K, editors. Advances in Geometric Modeling and Processing. Proceedings of the 4th international conference on Geometric Modeling and Processing (GMP'06); 2006 Jul 26-28; Pittsburgh, Pennsylvania. Lecture Notes in Computer Science 4077. Berlin: Springer-Verlag; 2006. p. 553-62.
  • Chen D, Kakadiaris IA, Miller MJ, Loftin RB, Patrick C. Modeling for Plastic and Reconstructive Breast Surgery. In: Delp SL, DiGioia AM, Jaramaz B, editors. Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI); 2000 Oct 11-14; Pittsburgh. Lecture Notes in Computer Science 1935. Springer; 2000. p. 1040-50. DOI: 10.1007/978-3-540-40899-4_108.
  • Chen S, Misra D, Thoma GR. Efficient Automatic OCR Word Validation Using Word Partial Format Derivation and Language Model Document Recognition and Retrieval XVII. Proceedings of the SPIE. San Jose, CA. January 2010;7534:75340O-75340O-8
  • Chen S, Mao S, Thoma GR. Simultaneous Layout Style and Logical Entity Recognition in a Heterogeneous Collection of Documents Proc ICDAR2007. Curitiba, Brazil; September 2007, pp. 118-22
  • Cheng B, Antani SK, Stanley J, Demner-Fushman D, Thoma GR. Automatic segmentation of subfigure image panels for multimodal biomedical document retrieval. Proceeding of: Document Recognition and Retrieval XVIII - DRR 2011, 18th Document Recognition and Retrieval Conference, part of the IS&T-SPIE Electronic Imaging Symposium, San Jose, CA, USA, January 24-29, 2011, Proceedings.
  • Cheng B, Stanley RJ, Antani SK, Thoma GR. A Novel Computational Intelligence-based Approach For Medical Image Artifacts Detection Proceedings of the 2010 International Conference on Artificial Intelligence and Pattern Recognition. Orlando, FL. July 2010:113-20
  • Cho D, Mork JG, Aronson A, Demner-Fushman D, Schmidt S, Ozga D, Pash J, Kilbourne J. MeSH on demand: an easy way to identify relevant MeSH terms and related articles from text [Poster]. National Cancer Institute (NCI) Symposium "RNA Biology 2015".
  • Coakley M, Hurt D, Weder N, Mtingwa M, Fincher EC, Alekseyev V, Chen D, Yun A, Gizaw M, Swan J, Yoo TS, Huyen Y. The NIH 3D Print Exchange: A Public Resource for Bioscientific and Biomedical 3D Prints 3D Print Additive Manufacturing, Sep. 1, 2014, 1(3):137-140.
  • Cohen KB, Demner-Fushman D. Biomedical Natural Language Processing John Benjamins Publishing Company, 2014. DOI: 10.1075/nlp.11
  • Cohen T, Widdows D, Stephan C, Zinner R, Kim J, Rindflesch TC, Davies P. Predicting high-throughput screening results with scalable literature-based discovery methods. CPT Pharmacometrics Syst Pharmacol. 2014 Oct 8;3:e140. doi: 10.1038/psp.2014.37.
  • Cohen T, Widdows D, Rindflesch TC. Expansion-by-analogy: A vector symbolic approach to semantic search. AAAI-Fall 2014 Symposium on Quantum Informatics for Cognitive, Social, and Semantic Processes.
  • Cohen T, Widdows D, Schvaneveldt RW, Rindflesch TC. Logical Leaps and Quantum Connectives: Forging Paths through Predication Space AAAI-Fall 2010 Symposium on Quantum Informatics for Cognitive, Social, and Semantic Processes
  • Cohen T, Schvaneveldt R, Rindflesch TC. Predication-based semantic indexing: permutations as a means to encode predications in semantic space. AMIA Annu Symp Proc. 2009 Nov 14;2009:114-8.
  • Collen MF, Sittig DF (Interviewer and Editor), Ash JS (Editor), Goodwin RM (Editor). Engineering Computerized Multiphasic Health Screening: 2005 Interview of Morris F. Collen, MD. Conversations with Medical Informatics Pioneers: An oral history project.
  • Collins H, Calvo SC, Greenberg K, Forman NL, Morrison SM. Using Genetics Home Reference to Reinforce Patient Education [Poster]. American College of Medical Genetics Annual Meeting, Phoenix, AZ, March 21-25, 2017.
  • Collins H, Calvo SC, Greenberg K, Forman, NL, Morrison SM. Information Needs in the Precision Medicine Era: How Genetics Home Reference Can Help. Interact J Med Res 2016;5(2):e13 DOI: 10.2196/ijmr.5199
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  • De Herrera A, Long LR, Antani SK. Content-Based fMRI Brain Maps Retrieval. International Conference on Brain and Health Informatics, Omaha, NE, USA, October 13-16, 2016.
  • De Herrera A, Schaer R, Antani SK, Müller H. Using Crowdsourcing for Multi-label Biomedical Compound Figure Annotation. In: Carneiro G. et al. (eds) Deep Learning and Data Labeling for Medical Applications. LABELS 2016, DLMIA 2016. Lecture Notes in Computer Science, vol 10008. Springer, Cham
  • De Herrera A, Long LR, Antani SK. Content–based fMRI activation maps retrieval [Poster]. BIH 2016: Brain Informatics and Health pp 173-180, October 13-16, 2016.
  • De Herrera A, Schaer R, Bromuri S, Müller H. Overview of the ImageCLEF 2016 Medical Task. CLEF working notes 2016, CEUR, 2016.
  • de Herrera G, Long LR, Antani SK. Graph Representation for Content–based fMRI Activation Map Retrieval. Proceedings of 1st Life Sciences Conference, Sydney, Australia, December 2017 pp. 129-32 DOI: https://doi.org/10.1109/LSC.2017.8268160.
  • Deardorff A, Masterton K, Roberts K, Kilicoglu H, Demner-Fushman D. A protocol-driven approach to automatically finding authoritative answers to consumer health questions in online resources. JASIST, 68(7): 1724-1736. doi: 10.1002/asi.23806.
  • Demner-Fushman D, Cohen KB, Ananiadou S, Tsujii J. Sesame Street at BioNLP 2019. Proceedings of the BioNLP 2019 workshop.
  • Demner-Fushman D. Clinical, Consumer Health, and Visual Question Answering. Springer Nature Switzerland AG 2019. J. A. Lossio-Ventura et al. (Eds.): SIMBig 2018, CCIS 898, pp. 1–6, 2019.
  • Demner-Fushman D, Fung K, Do P, Boyce R, Goodwin T. Overview of the TAC 2018 Drug-Drug Interaction Extraction from Drug Labels Track. Proceedings of the Text Analysis Conference (TAC) 2018, Gaithersburg, MD, USA, November 13-14, 2018.
  • Demner-Fushman D. A dataset of 200 structured product labels annotated for adverse drug reactions. Sci Data. 2018 Jan 30;5:180001. doi: 10.1038/sdata.2018.1.
  • Demner-Fushman D, Rogers W, Aronson A. MetaMap Lite: an evaluation of a new Java implementation of MetaMap. J Am Med Inform Assoc. 2017 Jul 1;24(4):841-844. doi: 10.1093/jamia/ocw177.
  • Demner-Fushman D, Elhadad N. Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing. IMIA Yearbook of Medical Informatics 2016.
  • Demner-Fushman D, Kilicoglu H. Dataset: CHQA Named Entity Dataset
  • Demner-Fushman D, Roberts K. Dataset: Question Decomposition Data
  • Demner-Fushman D, Roberts K. Dataset: Question Type Data
  • Demner-Fushman D, Shooshan SE, Rodriguez L, Antani SK, Thoma GR. Annotation of Chest Radiology Reports for Indexing and Retrieval. Multimodal Retrieval in the Medical Domain 2015 (MRMD 2015), Vienna, Austria, March 29, 2015
  • Demner-Fushman D, Antani S, Kalpathy-Cramer J, Müller H. A decade of community-wide efforts in advancing medical image understanding and retrieval. Comput Med Imaging Graph. 2015 Jan;39:1-2. doi: 10.1016/j.compmedimag.2014.12.002.
  • Demner-Fushman D, Mork JG, Aronson AR. Mining MEDLINE for problems associated with vitamin D. AMIA Annu Symp Proc. 2013 Nov 16;2013:300-8. eCollection 2013.
  • Demner-Fushman D, Antani SK, Simpson M, Thoma GR. Design and Development of a Multimodal Biomedical Information Retrieval System JCSE. June 2012;6(2):168-177.
  • Demner-Fushman D, Abhyankar S. Syntactic-semantic frames for clinical cohort identification queries. Data Integration in the Life Sciences (DILS) June 2012, LNBI 7348 proceedings. Lecture Notes in Computer Science. 2012;7348:100-112
  • Demner-Fushman D, Abhyankar S. Syntactic-semantic question frames for cohort identification. The 2012 Joint Summits on Translational Science. San Francisco, CA. March 2012.
  • Demner-Fushman D, Mork JG, Shooshan SE, Aronson AR. UMLS content views appropriate for NLP processing of the biomedical literature vs. clinical text. J Biomed Inform. 2010 Aug;43(4):587-94. doi: 10.1016/j.jbi.2010.02.005. Epub 2010 Feb 10.
  • Demner-Fushman D, Simpson M, Antani S, Thoma GR. Annotation and retrieval of clinically relevant images. Int J Med Inform. 2009 Dec;78(12):e59-67. doi: 10.1016/j.ijmedinf.2009.05.003. Epub 2009 Jul 9.
  • Demner-Fushman D, Antani SK, Simpson M. Web Interface: Open-I
  • Demner-Fushman D, Antani SK, Simpson M, Thoma GR. Combining Medical Domain Ontological Knowledge and Low-level Image Features for Multimedia Indexing Procf OntoImage 2008, part of LREC 2008. Marrakech, Morrocco. May 2008:CDROM Proceedings
  • Demner-Fushman D, Humphrey SM, Ide NC, Loane RF, Mork J, Ruch P, Ruiz ME, Smith LH, Wilbur WJ, Aronson AR. Combining Resources to Find Answers to Biomedical Questions Proc TREC 2007, 205-14
  • Demner-Fushman D, Antani S, Thoma GR. Automatically Finding Images for Clinical Decision Support Proc of IEEE DM-Med 2007. Omaha, NE, October 2007, pp. 139-144
  • Demner-Fushman D, Lin J. Answering Clinical Questions with Knowledge-based and Statistical Techniques Computational Linguistics. 2007 Jan;33(1):63-103
  • Demner-Fushman D, Lin J. Answer Extraction, Semantic Clustering, and Extractive Summarization for Clinical Question Answering Proc COLING/ACL 2006. July 2006, Sydney, Australia
  • Demner-Fushman D, Lin J. Situated Question Answering in the Clinical Domain: Selecting the Best Drug Treatment for Diseases Proc COLING/ACL 2006 Workshop on Task-Focused Summarization and Question Answering, July 2006, Sydney, Australia
  • Demner-Fushman D, Few B, Hauser SE, Thoma GR. Automatically Identifying Health Outcome Information in MEDLINE Records J Am Med Inform Assoc. 2006 Jan-Feb;13(1):52-60. Epub 2005 Oct 12.
  • Deserno TM, Antani S, Long LR. Ontology of gaps in content-based image retrieval. J Digit Imaging. 2009 Apr;22(2):202-15. doi: 10.1007/s10278-007-9092-x. Epub 2008 Feb 1.
  • Deserno TM, Long LR, Greenspan H. Content-based Image Retrieval: Major Challenges for Biomedical Applications Intl Journal of Healthcare Information Systems and Informatics. January 2009;4(1):i-iii
  • Deserno TM, Antani S, Long LR. Content-based image retrieval for scientific literature access. Methods Inf Med. 2009;48(4):371-80. doi: 10.3414/ME0561. Epub 2009 Jul 20.
  • Deserno TM, Antani SK, Long LR. Exploring Access to Scientific Literature Using Content-Based Image Retrieval Proc SPIE Medical Imaging 2007. Vol. 6516: 65160L-1-8.
  • Deserno TM, Antani SK, Long LR. Gaps in Content-Based Image Retrieval Proc SPIE Medical Imaging 2007. Vol. 6516: 65160J-1-11
  • Detmer DE, Ash JS (Interviewer and Editor), Sittig DF (Interviewer and Editor), Goodwin RM (Editor). Fostering Health Policy and the Biomedical Informatics Profession: 2006 Interview of Don Detmer. Conversations with Medical Informatics Pioneers: An oral history project.
  • Dhoot R, Humphrey JM, O'Meara P, Gardner A, McDonald CJ, Ogot K, Antani SK, Abuya J, Kohli M. Implementing a mobile diagnostic unit to increase access to imaging and laboratory services in western Kenya. BMJ Glob Health. 2018 Oct 8;3(5):e000947. doi: 10.1136/bmjgh-2018-000947. eCollection 2018.
  • Ding M, Antani SK, Jaeger S, Xue Z, Candemir S, Kohli M, Thoma GR. Local-Global Classifier Fusion for Screening Chest Radiographs. Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 101380A (March 13, 2017); doi:10.1117/12.2252459
  • Divita G, Rosemblat G, Browne AC. Building a medical Spanish lexicon. AMIA Annu Symp Proc. 2007 Oct 11:941.
  • Divita G, Browne AC, Loanne R. dTagger: A POS Tagger AMIA Annu Symp Proc. 2006:200-3
  • Do T, Murphy G, Earl LA, Del Prete GQ, Grandinetti G, Li GH, Estes JD, Rao P, Trubey CM, Thomas J, Spector J, Bliss D, Nath A, Lifson JD, Subramaniam S. Three-dimensional imaging of HIV-1 virological synapses reveals membrane architectures involved in virus transmission. J Virol. 2014 Sep;88(18):10327-39. doi: 10.1128/JVI.00788-14. Epub 2014 Jun 25.
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  • Encinas MA, Ducut E, Liu F, Avila JM, Diwa M, Fontelo P. Development of a Virtual Slide Library in a Developing Country. AMIA Annu Symp Proc; 2009 Nov 14-18; San Francisco. p. 836.
  • Faruque J, Antani SK, Long LR, Kim L, Thoma GR. Image similarity ranking of focal computed tomography liver lesions using a 2AFC technique. Proc. SPIE. 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 97870N. DOI: 10.1117/12.2217364.
  • Felts RL, Narayan K, Estes JD, Shi D, Trubey CM, Fu J, Hartnell LM, Ruthel GT, Schneider DK, Nagashima K, Bess JW Jr, Bavari S, Lowekamp B, Bliss D, Lifson JD, Subramaniam S. 3D visualization of HIV transfer at the virological synapse between dendritic cells and T cells. Proc Natl Acad Sci U S A. 2010 Jul 27;107(30):13336-41. doi: 10.1073/pnas.1003040107. Epub 2010 Jul 12.
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  • Fiszman M, Demner-Fushman D, Kilicoglu H, Rindflesch TC. Automatic summarization of MEDLINE citations for evidence-based medical treatment: a topic-oriented evaluation. J Biomed Inform. 2009 Oct;42(5):801-13. doi: 10.1016/j.jbi.2008.10.002. Epub 2008 Nov 5.
  • Fiszman M, Ortiz E, Bray BE, Rindflesch TC. Semantic Processing to Support Clinical Guideline Development AMIA Annu Symp Proc. 2008 Nov 6:187-91
  • Fiszman M, Rosemblat G, AhlersCB, Rindflesch TC. Identifying Risk Factors for Metabolic Syndrome in Biomedical Text AMIA Annu Symp Proc. 2007 Oct 11:249-53
  • Fiszman M, Demner-Fushman D, Lang FM, Goetz P, Rindflesch TC. Interpreting Comparative Constructons in Biomedical Text Proc 2007 Workshop BioNL'07, June 2007, pp. 137-144, Prague, Czech Republic
  • Fiszman M, Rindflesch TC, Kilicoglu H. Summarizing Drug Information in Medline Citations AMIA Annu Symp Proc. 2006; 254-8
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  • Folio, L, Sigelman, J, Wang, Y, Lu, P, Antani SK, Jaeger S. Automatic Identification and Classification of Tuberculosis Findings on Chest Radiographs for Global Surveillance Programs [Abstract]. Annual Meeting of the American Roentgen Ray Society (ARRS)
  • Fomous C, Mitchell JA, McCray A. Genetics Home Reference: Helping Patients Understand the Role of Genetics in Health and Disease Community Genet. 2006;9(4):274-8
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  • Fontelo P, DiNino E, Johansen K, Khan A, Ackerman MJ. Virtual Microscopy: Potential Applications in Medical Education and Telemedicine in Countries with Developing Economies. Proceedings of the 38th Hawaii International Conference on System Sciences; 2005 Jan 3-6; Big Island, Hawaii: 7 pages. IEEE Computer Society.
  • Friedlin FJ, McDonald C. A Software Tool for Removing Patient Identifying Information from Clinical Documents J Am Med Inform Assoc. 2008 Sep-Oct;15(5):601-10. Epub 2008 Jun 25
  • Friedman C, Rindflesch TC, Corn M. Natural language processing: state of the art and prospects for significant progress, a workshop sponsored by the National Library of Medicine. J Biomed Inform. 2013 Oct;46(5):765-73. doi: 10.1016/j.jbi.2013.06.004. Epub 2013 Jun 25.
  • Fung KW, Bodenreider O, Aronson AR, Hole WT, Srinivasan S. Combining Lexical and Semantic Methods of Inter-terminology Mapping Using the UMLS. Stud Health Technol Inform. 2007;129(Pt 1):605-9.
  • Gallagher ME. Improving Software Sustainability: Lessons Learned from Profiles in Science. Archiving. 2013;2013:74-79.
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  • Gallagher ME. Keeping the Promises Associated with Your Digital Assets: Is it Possible? In: Archiving 2007 Final Program and Proceedings, pp.146-149, 2007.
  • Gallagher ME, Moffatt C. Surviving Change: The First Step Toward Sustaining Your Digital Library In: J. Trant and D. Bearman (eds.). Museums and the Web 2006: Proceedings, Toronto: Archives & Museum Informatics, published March 1, 2006.
  • Gandhi T, Kasturi R, Antani S. Application of Planar Motion Segmentation for Scene Text Extraction Proc. of the 15th IEEE International Conference of Pattern Recognition. 2000 Sept.;1:1831-4.
  • 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.
  • Gay CW, Kayaalp M, Aronson AR. Semi-Automatic Indexing of Full Text Biomedical Articles AMIA Annu Symp Proc. 2005:271-5
  • 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. The Foundational Model of Anatomy in OWL: Experience and Perspectives Web Semant. 2006;4(3):181-195
  • Gong RH, Jenkins B, Sze RW, Yaniv Z. A cost effective and high fidelity fluoroscopy simulator using the image-guided surgery toolkit (IGSTK). In: Yaniv Z, Holmes DR III, editors. Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling; 2014 Feb 15-20; San Diego. Proc. SPIE 9036; 2014 Mar 12:11 pages. DOI: 10.1117/12.2044112.
  • Goodwin T, Demner-Fushman D. Deep Learning from Incomplete Data: Detecting Imminent Risk of Hospital-acquired Pneumonia in ICU Patients. Proceedings of the AMIA 2019 Annual Symposium, Washington, DC, USA, November 17-20, 2019.
  • Gopal AD, Desai NR, Tse T, Ross JS. Reporting of noninferiority trials in ClinicalTrials.gov and corresponding publications. JAMA. 2015 Mar 17;313(11):1163-5. doi: 10.1001/jama.2015.1697.
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  • 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.
  • Graham L, Tse T, Keselman A. Exploring User Navigation during Online Health Information Seeking AMIA Annu Symp Proc. 2006:299-303
  • Greenberg K, Calvo SC, Collins H, Foreman NL, Morrison SM. Genetics Home Reference: A point of care resource in the genomic medicine era [Poster]. American Society of Human Genetics Annual Meeting, Vancouver, British Columbia, Canada, November 18-22, 2016.
  • 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, Singh S, Xue Z, Long LR, Antani SK. Deep Learning for Assessing Image Focus for Automated Cervical Cancer Screening. 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) DOI: 10.1109/BHI.2019.8834495.
  • 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.
  • Hanauer DA, Saeed M, Zheng K, Mei Q, Shedden K, Aronson AR, Ramakrishnan N. Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis. J Am Med Inform Assoc. 2014 Sep-Oct;21(5):925-37. doi: 10.1136/amiajnl-2014-002767. Epub 2014 Jun 13.
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  • 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
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  • Hess CN, Roe MT, Gibson CM, Temple RJ, Pencina MJ, Zarin DA, Anstrom KJ, Alexander JH, Sherman RE, Fiedorek FT, Mahaffey KW, Lee KL, Chow SC, Armstrong PW, Califf RM. Independent data monitoring committees: preparing a path for the future. Am Heart J. 2014 Aug;168(2):135-41.e1. doi: 10.1016/j.ahj.2014.05.003. Epub 2014 May 15.
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  • Hristovski D, Rindflesch TC, Peterlin B. Using literature-based discovery to identify novel therapeutic approaches. Cardiovasc Hematol Agents Med Chem. 2013 Mar;11(1):14-24.
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  • Hristovski D, Kastrin A, Peterlin B, Rindflesch TC. Combining Semantic Relations and DNA Microarray Data for Novel Hypotheses Generation Lecture Notes in Bioinformatics. Springer
  • Hristovski D, Friedman C, Rindflesch TC. Exploiting Semantic Relations for Literature-Based Discovery AMIA Annu Symp Proc. 2006:349-53
  • Hristovski D, Peterlin B, Mitchell JA, Humphrey SM. Using literature-based discovery to identify disease candidate genes. Int J Med Inform. March 2005;74(2-4):289-98.
  • Hristovski D, Peterlin B, Mitchell JA, Humphrey SM. Improving literature based discovery support by genetic knowledge integration. Stud Health Technol Inform. 2003;95:68-73.
  • Hsu W, Antani SK, Long LR, Neve L, Thoma GR. SPIRS: a Web-based image retrieval system for large biomedical databases. Int J Med Inform. 2009 Apr;78 Suppl 1:S13-24. doi: 10.1016/j.ijmedinf.2008.09.006. Epub 2008 Nov 8.
  • Hsu W, Long LR, Antani SK. SPIRS: A Framework for Content-based Image Retrieval from Large Biomedical Databases Stud Health Technol Inform. 2007;129(Pt 1):188-92.
  • 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 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
  • Humphrey S, Rindflesch TC, Aronson AR. Automatic Journal Descriptor Indexing Extended to Indexing by UMLS Semantic Type Using the Cosine Document Similarity Measure. Proc. of the 11th SIG/CR Classification Research Workshop. 2000;103-16.
  • Humphrey SM, Névéol A, Gobeil J, Ruch P, Darmoni SJ, Browne AC. Comparing a Rule Based vs. Statistical System for Automatic Categorization of MEDLINE Documents According to Biomedical Specialty. J Am Soc Inf Sci Technol. 2009 Dec 1;60(12):2530-2539.
  • Humphrey SM, Lu C, Rogers W, Browne AC. Journal descriptor indexing tool for categorizing text according to discipline or semantic type. AMIA Annu Symp Proc. 2006:960.
  • Humphrey SM, Rogers W, Kilicoglu H, Demner-Fushman D, Rindflesch TC. Word sense disambiguation by selecting the best semantic type based on journal descriptor indexing: preliminary experiment. J Am Soc Inf Sci Technol. January 2006;57(1):96-113.
  • Hurdle JF, Botkin J, Rindflesch TC. Leveraging Semantic Knowledge in IRB Databases to Improve Translation Science AMIA Annu Symp Proc. 2007 Oct 11:349-53
  • Huser, V, Kayaalp M, Dodd Z, Cimino J. Piloting a deceased subject integrated data repository and protecting privacy of relatives. AMIA Annu Symp Proc. 2014 Nov 14;2014:719-28. eCollection 2014.
  • Huston M, Williams RJ, Bergeris A, Fun J, Tse T. New style and new content for ClinicalTrials.gov. NLM Tech Bull. 2012 Jul-Aug;(387):e5.
  • Ide NC, Loane RF, Demner-Fushman D. Essie: A Concept-based Search Engine for Structured BiomedicalText J Am Med Inform Assoc. 2007 May-Jun;14(3):253-63. Epub 2007 Feb 28
  • Ionescu B, Muller H, Peteri R, Dang-Nguyen DT, Piras L, Riegler M, Tran MT, Lux M, Gurrin C, Cid YD, Liauchuk V, Kovalev V, Ben Abacha A, Hasan SA, Datla V, Liu J, Demner-Fushman D, Pelka O, Friedrich CM, Chamberlain J, Clark C, de Herrera AGS, Garcia N, Kavallieratou E, del Blanco CR, Rodriguez CC, Vasillopoulos N, Karampidis K. Multimedia retrieval in medicine, lifelogging, security and nature. International Conference of the Cross-Language Evaluation Forum for European Languages, Springer, Cham, 358-386, 2019
  • Jaeger S, Juarez-Espinosa OH, Candemir S, Poostchi M, Yang F, Kim L, Ding M, Folio LR, Antani SK, Gabrielian A, Hurt D, Rosenthal A, Thoma GR. Detecting drug-resistant tuberculosis in chest radiographs. Int J Comput Assist Radiol Surg. 2018 Dec;13(12):1915-1925. doi: 10.1007/s11548-018-1857-9. Epub 2018 Oct 3.
  • Jaeger S. Malaria Datasets
  • 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.
  • James E. McDonald, MD, Ron Fishman, MD (Editor), McDonald CJ (Editor). FOCUS Eye Care in Haiti and Nigeria from 1961-1996 E-book (1st edition 2010, 2nd edition 2014).
  • 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
  • Jeronimo J, Massad S, Castle PE, Schiffman M, NIH/ASCCP Research Group. Inter-observer Agreement in the Evaluation of Digitized Cervical Images Obstet Gynecol. Vol. 197, Issue 1, July 2007
  • Jeronimo J, Massad LS, Schiffman M for the NIH-ASCCP Research Group. Visual Appearance of the Uterine Cervix: Correlation with Human Papillomavirus Detection and Type Am J Obstet Gynecol. 2007 Jul;197(1):47.e1-8
  • 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.
  • Jimeno Yepes A, Mork JG, Aronson A. Using the argumentative structure of scientific literature to improve information access [Poster]. BioNLP 2013.
  • Jimeno Yepes AJ, Plaza L, Carrillo-de-Albornoz J, Mork JG, Aronson A. Feature engineering for MEDLINE citation categorization with MeSH. BMC Bioinformatics. 2015 Apr 8;16:113. doi: 10.1186/s12859-015-0539-7.
  • Jimeno Yepes AJ, Mork JG, Aronson A. Identifying Publication Types Using Machine Learning. BioASQ Workshop 2013.
  • Jimeno-Yepes A, Mork J, Demner-Fushman D, Aronson AR. A one-size-fits-all indexing method does not exist: automatic selection based on meta-learning. JCSE, vol. 6, no. 2, pp.151-160, 2012.
  • Jimeno-Yepes A, Aronson AR. Knowledge-based and knowledge-lean methods combined in unsupervised word sense disambiguation. Proc 2nd ACM SIGHIT International Health Informatics (IHI) Symposium 2012, 733-736.
  • Jimeno-Yepes A, Mork JG, Wilkowski B, Demner-Fushman D, Aronson AR. MEDLINE MeSH indexing: lessons learned from machine learning and future directions. Proc IHI 2012, 737-742.
  • Jimeno-Yepes A, Wilkowski B, Mork JG, Demner-Fushman D, Aronson AR. MeSH indexing: machine learning and lessons learned. ACM SIGHIT International Health Informatics Symposium, Miami, FL, USA, 2012.
  • Jimeno-Yepes A, Mork J, Demner-Fushman D, Aronson AR. Automatic algorithm selection for MeSH Heading indexing based on meta-learning. International Symposium on Languages in Biology and Medicine, Singapore, December, 2011.
  • Jimeno-Yepes A, Aronson AR. Self-training and co-training in biomedical word sense disambiguation. BioNLP 2011 Workshop, June 2011, 182-183.
  • Jimeno-Yepes A, McInnes BT, Aronson AR. Collocation analysis for UMLS knowledge-based word sense disambiguation. BMC Bioinformatics. 2011 Jun 9;12 Suppl 3:S4. doi: 10.1186/1471-2105-12-S3-S4.
  • Jimeno-Yepes A, McInnes BT, Aronson AR. Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation. BMC Bioinformatics. 2011 Jun 2;12:223. doi: 10.1186/1471-2105-12-223.
  • Jimeno-Yepes A, Wilkowski B, Mork J, van Lenten E, Demner-Fushman D, Aronson AR. A bottom-up approach to MEDLINE indexing recommendations. AMIA Annu Symp Proc. 2011;2011:1583-92. Epub 2011 Oct 22.
  • Jimeno-Yepes A, Aronson AR. Query expansion for UMLS Metathesaurus disambiguation based on automatic corpus extraction. ICMLA 2010, Dec 2010.
  • Jimeno-Yepes A, Aronson AR. Knowledge-based biomedical word sense disambiguation: comparison of approaches. BMC Bioinformatics. 2010 Nov 22;11:569. doi: 10.1186/1471-2105-11-569.
  • Jimeno-Yepes A, Aronson AR. Improving an automatically extracted corpus for UMLS Metathesaurus word sense disambiguation. BioSEPLN 2010, Sept. 2010.
  • Jimeno-Yepes AJ, Plaza L, Mork JG, Aronson AR, Díaz A. MeSH indexing based on automatically generated summaries. BMC Bioinformatics. 2013 Jun 26;14:208. doi: 10.1186/1471-2105-14-208.
  • Jimeno-Yepes AJ, Sticco JC, Mork JG, Aronson AR. GeneRIF indexing: sentence selection based on machine learning. BMC Bioinformatics. 2013 May 31;14:171. doi: 10.1186/1471-2105-14-171.
  • Johnson CR, Moorhead RM, Munzner TM, Pfister H, Rheingans P, Yoo TS. NIH-NSF Visualization Research Challenges Report. IEEE Press.
  • Jonnalagadda SR, Del Fiol G, Medlin R, Weir C, Fiszman M, Mostafa J, Liu H. Automatically extracting sentences from Medline citations to support clinicians' information needs. J Am Med Inform Assoc. 2013 Sep-Oct;20(5):995-1000. doi: 10.1136/amiajnl-2012-001347. Epub 2012 Oct 25.
  • Jung B, Lee S, Fontelo P, Liu F, Kim S. Construction of Korean Version PICO Linguist and BabelMeSH. Korean Society of Medical Informatics (KOSMI) Fall Congress Proceedings 2007.
  • Kakadiaris IA, Chen D, Miller MJ, Loftin RB, Patrick C. Simulation-based determination of breast tissue engineering design patterns. Third Biennial Tissue Engineering Society International Meeting; 2000 Nov 30-Dec 3; Orlando, Florida.
  • 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.
  • Kang YS, Kayaalp M. Extracting laboratory test information from biomedical text. J Pathol Inform. 2013 Aug 31;4:23. doi: 10.4103/2153-3539.117450. eCollection 2013.
  • 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.
  • Kashyap V. The UMLS Semantic Network and the Semantic Web. AMIA Annu Symp Proc. 2003:351-5.
  • Kastrin A, Rindflesch TC, Hristovski D. Link prediction on a network of co-occurring MeSH terms: Towards literature-based discovery. Methods of Information in Medicine 55(4):340-6.
  • Kastrin A, Rindflesch TC, Hristovski D. Link prediction in a MeSH co-occurrence network: preliminary results. Stud Health Technol Inform. 2014;205:579-83.
  • Kastrin A, Rindflesch TC, Hristovski D. Link prediction on the Semantic MEDLINE Network. Proceedings of the 17th International conference on Discovery Science.
  • Kayaalp M. Modes of De-identification. AMIA Annu Symp Proc. 2018 Apr 16;2017:1044-1050. eCollection 2017.
  • Kayaalp M. Patient Privacy in the Era of Big Data. Balkan Med J. 2018 Jan 20;35(1):8-17. doi: 10.4274/balkanmedj.2017.0966. Epub 2017 Sep 13.
  • Kayaalp M, Browne AC, Dodd ZA, Sagan P, McDonald CJ. An Easy-to-Use Clinical Text De-identification Tool for Clinical Scientists: NLM Scrubber [Poster]. Proceedings of the Annual American Medical Informatics Association Fall Symposium: 1522.
  • Kayaalp M, Dodd Z, Browne AC, Sagan, P, McDonald CJ. Software: NLM-Scrubber
  • Kayaalp M, Browne AC, Dodd Z, Sagan P, McDonald CJ. De-identification of Address, Date, and Alphanumeric Identifiers in Narrative Clinical Reports. AMIA Annu Symp Proc. 2014 Nov 14;2014:767-76. eCollection 2014.
  • Kayaalp M, Browne AC, Callaghan FM, Dodd Z, Divita G, Ozturk S, McDonald CJ. The pattern of name tokens in narrative clinical text and a comparison of five systems for redacting them. J Am Med Inform Assoc. 2014 May-Jun;21(3):423-31. doi: 10.1136/amiajnl-2013-001689. Epub 2013 Sep 11.
  • Kayaalp M. ICU Outcome Predictions using Physiologic Trends in the First Two Days. Computing in Cardiology (39)977–980.
  • Kayaalp M. Bayesian Methods for Diagnosing Physiological Conditions of Human Subjects from Multivariate Time Series Biosensor Data Physiological Data Modeling Contest, the Twenty-First International Conference on Machine Learning (ICML), 2004 July.
  • Kayaalp M, Aronson AR, Humphrey SM, Ide NC, Tanabe LK, Smith LH, Demner-Fushman D, Loane RF, Mork JG, Bodenreider O. Methods for accurate retrieval of MEDLINE citations in functional genomics. The Twelfth Text Retrieval Conference (TREC 2003). 2003:441-50.
  • 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.
  • Kesav N, Yang Q, Losert W, Kim J, Jaeger S, Sen HN. Novel automated processing techniques of fluorescein angiography (FA) images in patients with Uveitis. Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO).
  • Keselman A, Rosemblat G, Kilicoglu H, Fiszman M, Jin H, Shin D, Rindflesch TC. Adapting Semantic Natural Language Processing Technology to Address Information Overload in Influenza Epidemic Management Journal of the American Society for Information Science and Technology (JASIST), 61(12):2531-2543, 2010
  • Keselman A, Tse T, Crowell J, Browne AC, Ngo L, Zeng Q. Assessing Consumer Health Vocabulary Familiarity: An Exploratory Study J Med Internet Res. 2007 Mar 14;9(1):e5
  • Keselman A, Massengale L, Ngo L, Browne A, Zeng Q. The Effect of User Factors on Consumer Familiarity with Health Terms: Using Gender as a Proxy for Background Knowledge about Gender-Specific Illnesses ISBMDA 2006: 472-481
  • Khatipov E, Madden M, Chiang P, Chuang P, Nguyen D, D'Souza I, Winnenburg R, Bodenreider O, Skapik J, McClure R, Emrick S. Creating, maintaining and publishing value sets in the VSAC [Poster]. AMIA Annu Symp Proc, 2014: p. 1459.
  • Kilicoglu H, Rosemblat G, Malicki M, Ter Riet G. Automatic recognition of self-acknowledged limitations in clinical research literature. J Am Med Inform Assoc. 2018 Jul 1;25(7):855-861. doi: 10.1093/jamia/ocy038.
  • Kilicoglu H, Ben Abacha A, Mrabet Y, Shooshan SE, Rodriguez L, Masterton K, Demner-Fushman D. Semantic annotation of consumer health questions. BMC Bioinformatics. 2018 Feb 6;19(1):34. doi: 10.1186/s12859-018-2045-1.
  • Kilicoglu H, Rosemblat G, Rindflesch TC. Assigning factuality values to semantic relations extracted from biomedical research literature. PLoS One. 2017 Jul 5;12(7):e0179926. doi: 10.1371/journal.pone.0179926. eCollection 2017.
  • Kilicoglu H. Biomedical text mining for research rigor and integrity: tasks, challenges, directions. Brief Bioinform. 2017 Jun 13. doi: 10.1093/bib/bbx057.
  • Kilicoglu H. Dataset: Consumer Health Spelling Error Dataset
  • Kilicoglu H. Inferring Implicit Causal Relationships in Biomedical Literature. Proc 15th Workshop on Biomedical Natural Language Processing. Pages 46-55. 2016.
  • Kilicoglu H, Ben Abacha A, Mrabet Y, Roberts K, Rodriguez L, Shooshan SE, Demner-Fushman D. Annotating named entities in consumer health questions. LREC,23-28 May 2016, Portorož.
  • Kilicoglu H. Software: Bio-SCoRes
  • Kilicoglu H. Dataset: Sortal Anaphora Dataset
  • Kilicoglu H, Rosemblat G, Fiszman M, Rindflesch TC. Sortal anaphora resolution to enhance relation extraction from biomedical literature. BMC Bioinformatics. 2016 Apr 14;17:163. doi: 10.1186/s12859-016-1009-6.
  • Kilicoglu H, Fiszman M, Roberts K, Demner-Fushman D. An Ensemble Method for Spelling Correction in Consumer Health Questions. AMIA Annu Symp Proc. 2015 Nov 5;2015:727-36. eCollection 2015.
  • Kilicoglu H, Rosemblat G, Cairelli M, Rindflesch TC. A Compositional Interpretation of Biomedical Event Factuality. Proc of the Second Workshop on Extra-Propositional Aspects of Meaning in Computational Semantics (ExProM 2015).
  • Kilicoglu H, Demner-Fushman D. Coreference Resolution for Structured Drug Product Labels Proceedings of BioNLP 2014. pp. 44-53.
  • Kilicoglu H, Fiszman M, Demner-Fushman D. Interpreting Consumer Health Questions: The Role of Anaphora and Ellipsis. Proceedings of BioNLP 2013. Pages 54-62.
  • Kilicoglu H, Shin D, Fiszman M, Rosemblat G, Rindflesch TC. SemMedDB: a PubMed-scale repository of biomedical semantic predications. Bioinformatics. 2012 Dec 1;28(23):3158-60. doi: 10.1093/bioinformatics/bts591. Epub 2012 Oct 8.
  • Kilicoglu H, Rosemblat G, Fiszman M, Rindflesch TC. Constructing a semantic predication gold standard from the biomedical literature. BMC Bioinformatics. 2011 Dec 20;12:486. doi: 10.1186/1471-2105-12-486.
  • Kilicoglu H, Fiszman M, Rosemblat G, Marimpietri S, Rindflesch TC. Arguments of Nominals in Semantic Interpretation of Biomedical Text BioNLM Workshop Proc, Assoc. for Computational Linguistics 2010
  • Kilicoglu H, Demner-Fushman D, Rindflesch TC, Wilczynski NL, Haynes RB. Towards Automatic Recognition of Scientifically Rigorous Clinical Research Evidence J Am Med Inform Assoc. 2009 Jan-Feb;16(1):25-31. Epub 2008 Oct 24.
  • Kilicoglu H, Fiszman M, Rodriguez A, Shin D, Ripple AM, Rindflesch TC. Semantic MEDLINE: A Web Application for Managing the Results of PubMed Searches Proc. Third Int'l Symposium for Semantic Mining in Biomedicine, 69-76
  • Kilicoglu H, Demner-Fushman D, Rindflesch TC, Wilczynski NL, Haynes RB. Toward Automatic Recognition of High Quality Clinical Evidence. AMIA Annu Symp Proc. 2008 Nov 6:368
  • 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 H, Goryachev S, Rosemblat G, Browne A, Keselman A, Zeng-Treitler Q. Beyond Surface Characteristics: A New Health Text-specific Readability Measurement AMIA Annu Symp Proc. 2007 Oct 11:418-22
  • 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 I, Thoma GR. Automated Identification of Potential Conflict-of-Interest in Biomedical Articles Using Hybrid Deep Neural Network. Proc. 14th Int’l Conf. Machine Learning and Data Mining (MLDM 2018), LNAI 10934, pp. 99-112, Newark, NJ, July 2018.
  • Kim I, Thoma GR. Automated Identification of Potential Conflict-of-Interest in Biomedical Articles Using Hybrid Deep Neural Network. Proc. 14th Int’l Conf. Machine Learning and Data Mining (MLDM 2018), LNAI 10934, pp. 99-112, Newark, NJ, July 2018.
  • Kim I, Thoma GR. Machine Learning with Selective Word Statistics for Automated Classification of Citation Subjectivity in Online Biomedical Articles. Proc. Int’l Conf. Artificial Intelligence (ICAI’17), pp. 201-207, Las Vegas, July 2017.
  • Kim I, Thoma GR. Automated Classification of Author’s Sentiments in Citation Using Machine Learning Techniques: A Preliminary Study. Proc. the 2015 IEEE Conf. Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2015), Niagara Falls, Canada, Aug. 12-15, 2015.
  • Kim I, Le DX, Thoma GR. Automated method for extracting "citation sentences" from online biomedical articles using SVM-based text summarization technique. Proc. the 2014 IEEE Int'l Conf. on Systems, Man, and Cybernetics (SMC 2014), pp. 2006-2011, San Diego, October, 2014
  • Kim I, Le DX, Thoma GR. Identifying “comment-on” citation data in online biomedical articles using SVM-based text summarization technique. Proc. Int’l Conf. Artificial Intelligence (ICAI’12), vol. 1, pp. 431-437, Las Vegas, July 2012.
  • Kim I, Le DX, Thoma GR. Automated identification of biomedical article type using support vector machines. Proc. 18th SPIE Document Recognition and Retrieval, 7874:787403 (1-9), San Francisco, January 2011.
  • Kim I, Le DX, Thoma GR. Automated Cleanup Processing for Extracting Bibliographic Data from Biomedical Online Journals In: Callaos N, Lesso W, editors. SCI 2005. Proc. 9th World Multiconference on Systemics, Cybernetics and Informatics; 2005 Jul 10-13; Vol. 4; Orlando (FL): International Institute of Informatics and Systemics; c2005. 401-5
  • Kim IC, Le DX, Thoma GR. Hybrid approach combining contextual and statistical information for identifying and statistical information for identifying MEDLINE citation terms. Proc. SPIE-IS/T Electronic Imaging. San Jose, CA. January 2008;6815:68150P(1-9)
  • Kim IC, Le DX, Thoma GR. Identification of "comment-on sentences" in online biomedical documents using support vector machines. Proc. SPIE conference on Document Recognition and Retrieval, 6500:65000O (1-8), San Jose, January 2007.
  • 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, Hong S, Thoma GR. Labeling Author Affiliations in Biomedical Articles Using Markov Model Classifiers. The 13th International Conference on Data Mining (DMIN2017), pp. 105-110, Las Vegas, USA, July 2017.
  • Kim J, Thoma GR. Named Entity Recognition in Affiliations of Biomedical Articles Using Statistics and HMM Classifiers. The 2016 International Conference on Data Mining (DMIN2016), Las Vegas, USA, pp. 236-241, July, 2016.
  • Kim J, Lobuglio PS, Thoma GR. Visualization of Statistics from MEDLINE. 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS 2016), Dublin and Belfast, Ireland, pp. 290-291, June, 2016.
  • Kim J, Le DX, Thoma GR. Identification of Investigator Name Zones Using SVM Classifiers and Heuristic Rules. 12th international Conference on Document Analysis and Recognition (ICDAR). Washington D.C., August 2013.
  • Kim J, Le DX, Thoma GR. Combining SVM Classifiers to Identify Investigator Name Zones in Biomedical Articles. IS&T/SPIE’s 22nd Annual Symposium on Electronic Imaging. San Francisco, CA, January 2012; 8297.
  • Kim J, Le DX, Thoma GR. Naive Bayes and SVM Classifiers For Classifying Databank Accession Number Sentences From Online Biomedical Articles IS&T/SPIE's 22nd Annual Symposium on Electronic Imaging. San Jose, CA. January 2010;7534:75340U-1 - 8
  • Kim J, Le DX, Thoma GR. Inferring Grant Support Types From Online Biomedical Articles 22nd IEEE ISCBMS. Albuquerque, NM. August 2009
  • Kim J, Le DX, Thoma GR. Naive Bayes Classifier for Extracting Bibliographic Information From Biomedical Online Articles Proc 2008 International Conference on Data Mining. Las Vegas, Nevada, USA. July 2008;II:373-8
  • Kim J, Le DX, Thoma GR. Automatic Extraction of Bibliographic Information from Biomedical Online Journal Articles Using a String Matching Algorithm Proc IEEE CBMS, June 2006, Salt Lake City, Utah; 905-10
  • Kim J, Le DX, Thoma GR. Automated Labeling Of Biomedical Online Journal Articles In: Callaos N, Lesso W, editors. SCI 2005. Proc 9th World Multiconference on Systemics, Cybernetics and Informatics; 2005 Jul 10-13; Vol. 4; Orlando (FL): International Institute of Informatics and Systemics; c2005. 406-11
  • 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.
  • Lau JJ, Gayen S, Ben Abacha A, Demner-Fushman D. A dataset of clinically generated visual questions and answers about radiology images. Sci Data. 2018 Nov 20;5:180251. doi: 10.1038/sdata.2018.251.
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  • Le DX, Thoma GR. Page Layout Classification Technique for Biomedical Documents Proc. World Multiconference on Systems, Cybernetics and Informatics (SCI). 2000 Jul.;X: 348-52.
  • Le T, Rance B, Bodenreider O. Network visualization of UMLS source vocabularies using semantic groups. AMIA Annu Symp Proc, 2013: p. 90
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  • Lee DJ, Antani S, Chang Y, Long LR, Christensen P, Jeronimo J. CBIR of Spine X-ray Images On Inter-vertebral Disc Space and Shape Profiles Using Feature Ranking and Voting Consensus. Data & Knowledge Engineering, Special Issue on Knowledge Discovery in Medicine. 2009.
  • 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.
  • Leon SA, Fontelo P. MedlinePlus en Espaniol and Spanish-Speakers. AMIA Annu Symp Proc; 2007 Nov 10-14; Chicago. p. 1028.
  • Leroy G, Miller T, Rosemblat G, Browne A. A Balanced Approach to Health Information Evaluation: A Vocabulary-based Naive Bayes Classifier and Readability Formulas JASIST, 59(9):1409-1419, 2008
  • Leroy G, Fiszman M, Rindflesch TC. The Impact of Directionality in Predications on Text Mining Hawaii International Conference on System Sciences (HICSS-41), January 2008
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  • Leroy G, Rindflesch TC, Libbus B, Kilicoglu H, Chen H. A Syntactic Parser with Semantic Filtering for Biomedical Text. Proceedings of Pacific Symposium on Biocomputing.
  • 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. The Role of Knowledge in Conceptual Retrieval: A Study in the Domain of Clinical Medicine Proc SIGIR 2006, pages 99-106, August 2006, Seattle, Washington
  • Lin J, Karakos D, Demner-Fushman D, Khudanpur S. Generative Content Models for Structural Analysis of Medical Abstracts Proc 2006 BioNLP'06. June 2006, New York City, New York
  • Lindberg, DAB, Ash JS (Interviewer and Editor), Sittig DF (Interviewer and Editor), Goodwin RM (Editor). At the helm of the world's largest biomedical library: 2005 Interviews with Donald A.B. Lindberg, MD Conversations with Medical Informatics Pioneers: An oral history project.
  • Lingappa G, Thoma GR, Antani SK. Web Interface: MyMorph
  • 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. Automatic translations of MEDLINE abstracts using Google Translate. AMIA Annu Symp Proc [Proceedings of the American Medical Informatics Association Annual Symposium]; 2010 Nov 13-17; Washington DC. p. 1148.
  • Liu F, Fontelo P, Fiszman M. Clinically-Weighted Terms in the Evaluation of MeSH Translations: BabelMeSH in Portuguese as a Model. AMIA Annu Symp Proc; 2008 Nov 8-12; Washington DC. p. 1027.
  • Liu F, Fontelo P, Ackerman MJ. BabelMeSH2 and PICO Linguist2: Combined Language Search for MEDLINE/PubMed. AMIA Annu Symp Proc [Proceedings of the American Medical Informatics Association Annual Symposium]; 2007 Nov 10-14; Chicago. p. 1036.
  • 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.
  • Logan RA, Tse T. A Multidiscipline Conceptual Framework for Consumer Health Informatics Stud Health Technol Inform. 2007;129(Pt 2):1169-73
  • Logan RA. Clinical, Classroom or Personal Education: Attitudes About Health Literacy J Med Libr Assoc. 2007 Apr;95(2):127-37, e48
  • Logan RA, Shin JH, Park J. Prevailing Impressions of Social Actors in Korean News Coverage of a Public Health Crisis Science Communication. 25:4:399-418 (June 2004)
  • Logan RA, Park J, Shin JH. How Two Korean Newspapers Covered a Public Health Crisis Science Communication. 25:4:365-389 (June 2004)
  • Long LR, Antani SK, Thoma GR, Deserno TM. Content-based Image Retrieval For Advancing Medical Diagnostics, Treatment, and Education New Technologies for Advancing Healthcare and Clinical Practices. June 2011:1-17.
  • 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, 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.
  • Lu C, Payne A, Demner-Fushman D. Classification Types: A New Feature in the SPECIALIST Lexicon. AMIA Fall Symposium, 2019.
  • Lu C, Aronson, AR, Shooshan SE, Demner-Fushman D. Spell checker for consumer language (CSpell). J Am Med Inform Assoc. 2019 Jan 21. doi: 10.1093/jamia/ocy171. [Epub ahead of print]
  • Lu C, Demner-Fushman D. Improving Spelling Correction with Consumer Health Terminology Improving Spelling Correction with Consumer Health Terminology AMIA 2018 Annual Symposium, San Francisco, CA, November 3-7, 2018, p. 2053.
  • Lu C, Tormey D, McCreedy L, Browne AC. Enhancing LexSynonym Features in the Lexical Tools AMIA 2017 Annual Symposium, Washington, DC, November 04-08, 2017, p. 2090
  • Lu C, Tormey D, McCreedy L, Browne AC. Generating A Distilled N-Gram Set: Effective Lexical Multiword Building in the SPECIALIST Lexicon. The 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), Vol(5): HEALTHINF, PORTO, Portugal, February 21-23, 2017, p. 77-87.
  • Lu C, Tormey D, McCreedy L, Browne AC. Enhanced LexSynonym Acquisition for Effective UMLS Concept Mapping. Stud Health Technol Inform. 2017;245:501-505.
  • Lu C, Tormey D, McDreedy L, Browne AC. Multiword frequency analysis based on MEDLINE N - gram set [Poster]. AMIA 2016 Annual Symposium, Chicago, IL, November 12-16, 2016.
  • Lu C, Tormey D, McDreedy L, Browne AC. Generating SD-Rules in the SPECISLIST Lexical Tools - Optimization for suffix derivation rule set [Poster]. BIOSTEC 2016), Vol(5): HEALTHINF, Rome, Italy, February 21-23, 2016, p. 353-358 (9th International Conference on Health Informatics, HEALTHINF/BIOSTEC, 2016 Best Poster Award
  • Lu C, Tormey D, MCreedy L, Browne AC. Generating the MEDLINE N-Gram Set [Poster]. AMIA 2015 Annual Symposium, San Francisco, CA, November 14-18, 2015, p. 1569.
  • Lu C, Tormey D, McDreedy L, Browne AC. Using element words to generate (multi)words for the SPECIALIST Lexicon [Poster]. AMIA 2014 Annual Symposium, Washington, DC, November 15-19, 2014, p. 1499. Poster
  • Lu C, Tormey D, McDreedy L, Browne AC. Implementing comprehensive derivational features in Llexical tools using a systematical approach [Poster]. AMIA 2013 Annual Symposium, Washington, DC, November 16-20, 2013, p. 904
  • Lu C, Browne AC. Development of Sub-Term Mapping Tools (STMT) AMIA 2012 Annual Symposium, Chicago, IL, November 3-7, 2012
  • Lu C, Browne AC. Development of sub-term mapping tools (STMT) [Poster]. AMIA 2012 Annual Symposium, Chicago, IL, November 3-7, 2012, p. 1845 (AMIA, 2012 Distinguished Poster Award) Poster.
  • Lu C, McCreedy L, Tormey D, Browne AC. A Systematic Approach for Automatically Generating Derivational Variants in Lexical Tools Based on theSPECIALIST Lexicon IEEE IT Professional Magazine, May/June, 2012;36-42.
  • Lu C, Tormey D, McCreedy L, Browne AC. A Systematic Approach for Automatically Generating Derivational Variants in Lexical Tools Based on the SPECIALIST Lexicon. IEEE IT Professional Magazine, May/June, 2012, p. 36-42.
  • Lu C, Browne AC. Converting Unicode Lexicon and Lexical Tools for ASII NLP Applications AMIA Annu Symp Proc 2011:1870.
  • Lu C, Divita G, Browne AC. Development of Visual Tagging Tool AMIA Annu Symp Proc 2010:1156.
  • Lu C, Humphrey SM, Rogers W, Browne AC. Development of a semantic type based WSD tool [Abstract]. AMIA Annu Symp Proc 2009:943.
  • Lu C, Humphrey SM, Browne AC. A method for verifying a vector-based text classification system AMIA Annu Symp Proc. 2008 Nov 6:1030.
  • Lu C, Browne AC, Allen C, Divita G. Using Lexical tools to convert Unicode characters to ASCII AMIA Annu Symp Proc. 2008 Nov 6:1031.
  • Lure F, Jaeger S, Cheng G, Li H, Lu P, Yu W, Kung J, Guan Y. Applying Multi-modality Artificial Intelligence for Screening of Tuberculosis in a TB High-burden Large Rural Region in China TBScience, 50th Union World Conference on Lung Health, Hyderabad, India.
  • 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]
  • Lynch P, Luan X, Prettyman M, Mericle L, Borkmann E, Schlaifer J. An evaluation of new and old similarity ranking algorithms. Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC’04). 2004;2:148.
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  • 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, Nie L, Thoma GR. Unsupervised Style Classification of Document Page Images Proc IEEE International Conference on Image Processing, September 2005, Genova, Italy; Vol. II: 510-13
  • Mao S, Misra D, Seamans J, Thoma GR. Design Strategies for a Prototype Electronic Preservation System for Biomedical Documents IS&T Archiving 2005 Conference, April 2005; 48-53.
  • Mao S, Kanungo T. Automatic Training of Page Segmentation Algorithms: An Optimization Approach International Conference on Pattern Recognition. 2000 Sept.;:531-534.
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  • Mao S, Kanungo T. Stochastic Language Models for Automatic Acquisition of Lexicons from Printed Bilingual Dictionaries Document Layout Interpretation and Its Application. 2001.
  • Masseroli M, Kilicoglu H, Lang F-M, Rindflesch TC. Argument-predicate Distance as a Filter for Enhancing Precision in Extracting Predications on the Genetic Etiology of Disease. BMC Bioinformatics. 2006 Jun 8;7:291.
  • Matheson NW, Ash JS (Interviewer and Editor), Sittig DF (Interviewer and Editor), Goodwin RM (Editor). The Woman Behind the NLM’s Integrated Advanced Information Management Systems (IAIMS) Initiative: 2005 Interview of Nina Matheson. Conversations with Medical Informatics Pioneers: An oral history project.
  • Maver A, Hristovski D, Rindflesch TC, Peterlin B. Integration of data from omic studies with the literature-based discovery towards identification of novel treatments for neovascularization in diabetic retinopathy. Biomed Res Int. 2013;2013:848952. doi: 10.1155/2013/848952. Epub 2013 Nov 24.
  • McCray AT, Browne AC, Bodenreider O. The Lexical Properties of the Gene Ontology (GO) Proc AMIA Symp. 2002;:504-8.
  • McCray AT, Dorfman E, Ripple A, Ide NC, Jha M, Katz DG, Loane RF, Tse T. Usability Issues in Developing a Web-Based Consumer Health Site Proc AMIA Symp. 2000:556-60.
  • McCray AT. Better access to information about clinical trials. Ann Intern Med. 2000 Oct 17;133(8):609-14.
  • McCray AT, Ide NC. Design and implementation of a national clinical trials registry. J Am Med Inform Assoc. 2000 May-Jun;7(3):313-23.
  • McCray AT, Gallagher ME, Flannick MA. Extending the role of metadata in a digital library system. In: Proceedings of the IEEE Forum on Research and Technology Advances in Digital Libraries, pp. 190-9, 1999.
  • 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.
  • Miller CM, Rindflesch TC, Fiszman M, Hristovski D, Shin D, Rosemblat G, Zhang H, Strohl KP. A closed literature-based discovery technique finds a mechanistic link between hypogonadism and diminished sleep quality in aging men. Sleep. 2012 Feb 1;35(2):279-85. doi: 10.5665/sleep.1640.
  • Mishra R, Bian J, Fiszman M, Weir CR, Mostafa J, Fiol GD. Text summarization in the biomedical domain: a systematic review of recent research. J Biomed Inform. 2014 Dec;52:457-67. doi: 10.1016/j.jbi.2014.06.009. Epub 2014 Jul 10.
  • Mishra R, Del Fiol G, Kilicoglu H, Jonnalagadda S, Fiszman M. Automatically extracting clinically useful sentences from UpToDate to support clinicians' information needs. AMIA Annu Symp Proc. 2013 Nov 16;2013:987-92. eCollection 2013.
  • Misra D, Thoma GR. Use of descriptive metadata as a knowledgebase for analyzing data in large textual collections. Proc. IS&T Archiving 2013. Washington D.C. Proc. IS&T Archiving 2013. Washington D.C. pg 193-199.
  • Misra D, Hall RH, Payne SM, Thoma GR. Digital preservation and knowledge discovery based on documents from an international health science program. Proc. 12th ACM/IEEE-CS JCDL, pg 23-26 (2012). doi: 10.1145/2232817.2232823.
  • Misra D, Seamans J, Thoma GR. Testing the Scalability of a DSpace-based Archive Proc. IS&T Archiving 2008. Bern, Switzerland. June 2008:36-40
  • Misra D, Mao S, Rees J, Thoma GR. Archiving a Historic Medico-legal Collection: Automation and Workflow Customization Proc IS&T Archiving 2007. Arlington, Virginia, May 2007; 157-61
  • Mitchell JA, Fomous C, Fun J. Challenges and strategies of the Genetics Home Reference J Med Libr Assoc. 2006 Jul;94(3):336-42
  • Mitchell JA, Aronson AR, Mork JG, Folk LC, Humphrey SM, Ward JM. Gene Indexing: Characterization and Analysis of NLM's GeneRIFs. AMIA Annu Symp Proc. 2003:460-4.
  • Moallem G, Sari-Sarraf H, Poostchi M, Maude RJ, Silamut K, Hossain MA, Antani SK, Jaeger S, Thoma G. Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears. Proc. SPIE 10581, Medical Imaging 2018:Digital Pathology, 105811F (6 March 2018); doi: 10.1117/12.2293762.
  • Moallem G, Poostchi M, Yu H, Palaniappan N, Silamut K, Maude RJ, Hossain Md Amir, Jaeger S, Antani SK, Thoma GR. Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears [Poster]. Annual Meeting of the American Society of Tropical Medicine & Hygiene (ASTMH), Poster, 2017
  • 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
  • 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.
  • Morid MA, Fiszman M, Raja K, Jonnalagadda SR, Del Fiol G. Classification of clinically useful sentences in clinical evidence resources. J Biomed Inform. 2016 Apr;60:14-22. doi: 10.1016/j.jbi.2016.01.003. Epub 2016 Jan 13.
  • Mork J, Peters L, Jimeno-Yepes A, Aronson AR, Bodenreider O. MetaMap in the CALBC Workshop II. CALBC Workshop II, March 2011.
  • Mork JG, Aronson A, Demner-Fushman D. 12 years on - Is the NLM medical text indexer still useful and relevant? J Biomed Semantics. 2017 Feb 23;8(1):8. doi: 10.1186/s13326-017-0113-5.
  • Mork JG, Demner-Fushman D, Schmidt SC, Aronson A. Recent Enhancements to the NLM Medical Text Indexer. BioASQ 2014.
  • Mork JG, Demner-Fushman D, Schmidt SC, Aronson A. Vocabulary Density Method for Personalized Indexing of MEDLINE Journals [Poster]. 2014 AMIA Symposium.
  • Mork JG, Jimeno Yepes A, Aronson A. The NLM Medical Text Indexer System for Indexing Biomedical Literature. BioASQ 2013.
  • Mork JG, Aronson AR. The Medical Text Indexer (MTI) system for indexing biomedical literature. book chapter submitted to monograph Indexing Specialities: Medicine. Edited by L. Pilar Wyman. Medford, NJ: Information Today, Inc., in association with the American Society of Indexers, Phoenix, AZ. 2010.
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  • 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.
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  • Névéol A, Mork JG, Aronson AR, Darmoni SJ. Evaluation of French and English MeSH indexing systems with a parallel corpus. AMIA Annu Symp Proc. 2005:565-9.
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  • Ozturk S, Kayaalp M, McDonald CJ. Visualization of patient prescription history data in emergency care. AMIA Annu Symp Proc. 2014 Nov 14;2014:963-8. eCollection 2014.
  • Pathak J, Peters L, Chute CG, Bodenreider O. Comparing and evaluating terminology services application programming interfaces: RxNav, UMLSKS and LexBIG. J Am Med Inform Assoc. 2010 Nov-Dec;17(6):714-9. doi: 10.1136/jamia.2009.001149.
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  • 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.
  • Plaza L, Jimeno-Yepes A, Diaz A, Aronson AR. Studying the correlation between different word sense disambiguation methods and summarization effectiveness in biomedical texts. BMC Bioinformatics. 2011 Aug 26;12:355. doi: 10.1186/1471-2105-12-355.
  • 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.
  • 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.
  • Rae A, Savery M, Mork JG, Demner-Fushman D. A High Recall Classifier for Selecting Articles for MEDLINE Indexing. AMIA Fall Symposium, 2019.
  • Rae A, Kim J, Le DX, Thoma GR. Main Content Detection in HTML Journal Articles. DocEng ’18: ACM Symposium on Document Engineering 2018, August 28–31, 2018, Halifax, NS, Canada. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3209280.3229115
  • 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, You D, Simpson MS, Antani SK, Demner-Fushman D. Interactive Cross and Multimodal Biomedical Image Retrieval Based on Automatic Region-Of-Interest (ROI) Identification and Classification. International Journal of Multimedia Information Retrieval (MMIR) 2014 Sep;3(3):131-146.
  • 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, You D, Simpson M. An interactive image retrieval framework for biomedical articles based on visual region-of-interest (ROI) identification and classification [Abstract]. The 2nd IEEE Conference on Healthcare Informatics, Imaging, and Systems Biology Analyzing Big Data for Healthcare and Biomedical Sciences (HISB 2012). La Jolla, CA. September 2012.
  • 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. Bag of Keypoints-Based Biomedical Image Search With Affine Covariant Region Detection and Correlation-Enhanced Similarity Matching. 23rd IEEE International Symposium on Computer-Based Medical Systems (CBMS ) 2010. Perth, Australia. October 2010:261-6.
  • Rahman MM, Antani SK, Thoma GR. Biomedical Image Retrieval In a Fuzzy Feature Space With Affine Region Detection and Vector Quantization of a Scale-Invariant Descriptor. 6th International Symposium on Visual Computing (ISVC) 2010. Las Vegas, NV. November 2010.
  • 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
  • Rahman MM, Antani S, Long LR, Demner-Fushman D, Thoma GR. Multi-Modal Query Expansion Based on Local Analysis for Medical Image Retrieval. Lecture Notes in Computer Science. First MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support (MCBR-CDS 2009); part of the 12th International Conference on Medical Image Computing and Computer Assisted Interventio February 2010;5853/2010(doi: 10.1007/978-3-642-11769-5):110-9..
  • Rahman MM, Antani SK, Thoma GR. A Classification-Driven Similarity Matching Framework For Retrieval of Biomedical Images. 11th ACM International Conference on Multimedia Information Retrieval (MIR 2010). 2010:147-154.
  • 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, 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, 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, Bhupatiraju R, Abdelrahman H, Busby B. MeSHgram: An Open Source Tool to Visually Browse Co-occurrence of MeSH Terms in PubMed [Poster]. AMIA 2017 Symposium Proceedings.
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  • 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.
  • Resnick MP, Ripple AM, Auston I, Rindflesch TC. An Ontology for Public Health to Support Enhanced Information Retrieval AMIA Annu Symp Proc. 2010
  • Richesson RL, Fung K, Bodenreider O. Coverage of rare disease names in cinical coding systems and ontologies and implications for electronic health records-based research [Poster]. Proc 5th Int'l Conf Conference on Biomedical Ontology.
  • Rindflesch TC, Blake CL, Fiszman M, Kilicoglu H, Rosemblat G, Schneider J, Zeiss CJ. Informatics Support for Basic Research in Biomedicine. ILAR J. 2017 Jul 1;58(1):80-89. doi: 10.1093/ilar/ilx004.
  • Rindflesch TC, Kilicoglu H, Fiszman M, Rosemblat G, Shin D. Semantic MEDLINE: An advanced information management application for biomedicine. Information Services and Use, 2011, 31(1): 15-21.
  • Rindflesch TC, Fiszman M, Bisharah L. Semantic Interpretation for the Biomedical Research Literature In Hsinchun C, Fuller S, Friedman C, Hersh w (eds.) Medical Informatics: Knowledge Management and Data Mining in Biomedicine. Springer: New York, pp. 399-422, 2005.
  • Rindflesch TC, Pakhomov SV, Fiszman M, Kilicoglu H, Sanchez VR. Medical facts to support inferencing in natural language processing. AMIA Annu Symp Proc. 2005:634-8.
  • Rindflesch TC, Libbus B, Hristovski D, Aronson AR, Kilicoglu H. Semantic Relations Asserting the Etiology of Genetic Diseases AMIA Annu Symp Proc. 2003:554-8.
  • Rindflesch TC, Rajan J, Hunter L. Extracting Molecular Binding Relationships from Biomedical Text Proc. of the 6th Applied Natural Language Processing Conference. 2000;: 188-95.
  • Rindflesch TC, Bean CA, Sneiderman CA. Argument Identification for Arterial Branching Predications Asserted in Cardiac Catheterization Reports Proc AMIA Symp. 2000:704-8.
  • Rindflesch TC, Tanabe L, Weinstein JN, Hunter L. EDGAR: extraction of drugs, genes and relations from the biomedical literature. Pac Symp Biocomput. 2000:517-28.
  • Ripple AM, Mork JG, Schmidt SC, Thomson H, Knecht LS. Performance Comparison of MEDLINE Structured Abstract to Unstructured Abstracts [Poster]. 2014 NIH Research Festival.
  • Ripple AM, Mork JG, Humphreys BL, Knecht LS. A retrospective cohort study of structured abstracts in MEDLINE, 1992-2006. J Med Libr Assoc. 2011 Apr;99(2):160-3. doi: 10.3163/1536-5050.99.2.009.
  • Roberts K, Gururaj A, Chen X, Pournejati S, Cohen T, Hersh WR, Demner-Fushman D. Information Retrieval for Biomedical Datasets. 2016 bioCADDIE Challenge. AMIA 2017.
  • Roberts K, Rodriguez L, Shooshan SE, Demner-Fushman D. Resource Classification for Medical Questions. AMIA Annu Symp Proc. 2017 Feb 10;2016:1040-1049. eCollection 2016.
  • Roberts K, Demner-Fushman D. Annotating Logical Forms for EHR Questions. Proceedings of the Language Resources and Evaluation Conference, LREC,23-28 May 2016, Portorož.
  • Roberts K, Demner-Fushman D. Interactive use of online health resources: a comparison of consumer and professional questions. J Am Med Inform Assoc. 2016 Jul;23(4):802-11. doi: 10.1093/jamia/ocw024. Epub 2016 May 4.
  • Roberts K, Shooshan SE, Rodriguez L, Abhyankar S, Kilicoglu H, Demner-Fushman D. The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRs. J Biomed Inform. 2015 Dec;58 Suppl:S111-9. doi: 10.1016/j.jbi.2015.06.010. Epub 2015 Jun 26.
  • Roberts K, Simpson M, Demner-Fushman D, Voorhees E, Hersh W. State-of-the-art in biomedical literature retrieval for clinical cases: A survey of the TREC 2014 CDS Track. Inf Retrieval J. 2015.
  • Roberts K, Demner-Fushman D. Toward a Natural Language Interface for EHR Questions. AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:157-61. eCollection 2015.
  • Roberts K, Kilicoglu H, Fiszman M, Demner-Fushman D. Automatically classifying question types for consumer health questions. AMIA Annu Symp Proc. 2014 Nov 14;2014:1018-27. eCollection 2014.
  • Roberts K, Masterton K, Kilicoglu H, Fiszman M, Demner-Fushman D. Annotating Question Decomposition on Complex Medical Questions. LREC 2014.
  • Roberts K, Masterton K, Fiszman M, Kilicoglu H, Demner-Fushman D. Annotating Question Types for Consumer Health Questions. LREC 2014, BioTxtM workshop.
  • Roberts K, Kilicoglu H, Fiszman M, Demner-Fushman D. Decomposing consumer health questions. BioNLP 2014.
  • Rodriguez L, Morrison SM, Greenberg K, Demner-Fushman D. Mining the literature for genes associated with placenta-mediated maternal diseases. AMIA Annu Symp Proc. 2018 Apr 16;2017:1498-1506. eCollection 2017.
  • Rodriguez L, Morrison SM, Greenberg K, Demner-Fushman D. Towards Automatic Discovery of Genes Related to Human Placenta [Poster]. Poster Fall AMIA 2016.
  • Rodriguez L, Huser V, Bodenreider O, Cimino J. Automatic coding of Free-Text Medication Data recorded by Research Coordinators [Poster]. AMIA Annu Symp Proc 2014:1565.
  • 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.
  • Rosemblat G, Fiszman, M, Shin D, Kilicoglu H. Towards a characterization of apparent contradictions in the biomedical literature using context analysis. Journal of Biomedical Informatics. 2019. In Press. https://doi.org/10.1016/j.jbi.2019.103275.
  • Rosemblat G, Shin D, Kilicoglu H, Sneiderman C, Rindflesch TC. A methodology for extending domain coverage in SemRep. J Biomed Inform. 2013 Dec;46(6):1099-107. doi: 10.1016/j.jbi.2013.08.005. Epub 2013 Aug 21.
  • Rosemblat G, Graham L, Tse T. Extractive Summarization in Clinical Trials Protocol Summaries: A Case Study Proc IICAI-2007, pp. 1824-1837
  • Rosemblat G, Logan R. The Consumers' Perspective: Text Features and Readability of Consumer Health Text Mednet 2007: Germany. 12 Oct 2007
  • Rosemblat G, Tse T. User Study of a Spanish-language ClinicalTrials.gov Prototype System AMIA Annu Symp Proc. 2006:659-63
  • Rosemblat G, Logan R, Tse T, Graham L. Text Features and Readability: Expert Evaluation of Consumer Health Text Mednet 2006. October 14-16, 2006. Toronto, Canada
  • Rosemblat G, Graham L. Cross-Language Search in a Monolingual Health Information System: Flexible Designs and Lexical Processes Proc ISKO, pages 173-182, Vienna, Austria, July 2006.
  • Rosemblat G, Graham L. A Pragmatic Approach to Summary Extraction in Clinical Trials Proc HLT-NAACL 06, pages 124-125, New York City, June 2006
  • Rosemblat G, Tse T, Gemoets D, Gillen JE, Ide NC. Supporting Access to Consumer Health Information Across Languages Proc ICML-9, September 20-23, 2005; Salvador, Bahia, Brazil.
  • Rosemblat G, Tse T, Gemoets D. Adapting A Monolingual Consumer Health System for Cross-Language Information Retrieval Advances in Knowledge Organization, Proceedings of the Eighth International ISKO Conference. 2004 July;9:315-321.
  • Rosemblat G, Gemoets D, Browne AC, Tse T. Machine Translation-Supported Cross Language Information Retrieval for a Consumer Health Resource AMIA Annu Symp Proc. 2003:564-8.
  • Ross JS, Mocanu M, Lampropulos JF, Tse T, Krumholz HM. Time to publication among completed clinical trials. JAMA Intern Med. 2013 May 13;173(9):825-8. doi: 10.1001/jamainternmed.2013.136.
  • Ross JS, Tse T, Zarin DA, Xu H, Zhou L, Krumholz HM. Publication of NIH funded trials registered in ClinicalTrials.gov: cross sectional analysis. BMJ. 2012 Jan 3;344:d7292. doi: 10.1136/bmj.d7292.
  • Ruch P, Geissbuhler A, Gobeill J, Lisacek F, Tbahriti I, Veuthey A, Aronson AR. Using Discourse Analysis to Improve Text Categorization in MEDLINE Stud Health Technol Inform. 2007;129(Pt 1):710-5
  • Ruch P, Tbahriti I, Bobeill J, Aronson AR. Argumentative Feedback: A Linguistically-motivated Term Expansion for Information Retrieval Proc COLING/ACL 2006, 675-82
  • 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
  • Sabir TF, Hauser SE, Thoma GR. Historical Author Affiliations Assist Verification of Automatically Generated MEDLINE Citations AMIA Annu Symp Proc. 2006:1082
  • Sahoo SS, Bodenreider O, Rutter JL, Skinner KJ, Sheth AP. An Ontology-driven Semantic Mash-up of Gene and Biological pathway information: Application to the domain of nicotine dependence J Biomed Inform. 2008 Oct;41(5):752-65. Epub 2008 Feb 29
  • Sahoo SS, Zeng K, Bodenreider O, Sheth A. From 'Glycosyltransferase' to 'Congenital Muscular Dystrophy': Integrating Knowledge from NCBI Entrez Gene and the Gene Ontology Stud Health Technol Inform. 2007;129(Pt 2):1260-4
  • 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.
  • Sarrouti M, Quatik EL, Alaoui S. SemBioNLQA: A semantic biomedical question answering system for retrieving exact and ideal answers to natural language questions. Artif Intell Med. 2020 Jan;102:101767. doi: 10.1016/j.artmed.2019.101767. Epub 2019 Nov 28.
  • Savery M, Huston M, Mork JG, Printseva O, Rae A, Schmidt S, Demner-Fushman D. Evaluation of System for Selective Indexing Classification. AMIA Fall Symposium, 2019.
  • 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.
  • 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
  • Shang N, Xu H, Rindflesch TC, Cohen T. Identifying plausible adverse drug reactions using knowledge extracted from the literature. J Biomed Inform. 2014 Dec;52:293-310. doi: 10.1016/j.jbi.2014.07.011. Epub 2014 Jul 19.
  • Sharp M, Bodenreider O, Wacholder N. A Framework for Characterizing Drug Information Sources AMIA Annu Symp Proc. 2008 Nov 6:662-6
  • Sheets L, Gavino A, Fontelo P. Language Fluency and Other Predictors of International Use of PubMed and MedlinePlus. AMIA Annu Symp Proc [Proceedings of the American Medical Informatics Association Annual Symposium]; 2011 Oct 22-26; Washington DC. p. 1779.
  • 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.
  • Siegel ER, Wood FB, Dutcher GA, Ruffin A, Logan RA, Scott J. Assessment of the National Library of Medicine's Health Disparities Plan: A Focus on Native American Outreach J Med Libr Assoc. 2005 Oct;93(4 Suppl):S10-20
  • 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.
  • Simpson M, Demner-Fushman D, Thoma GR. Evaluating the Importance of Image-related Text for Ad-hoc and Case-based Biomedical Article Retrieval. AMIA Annu Symp Proc. 2010 Nov 13;2010:752-6.
  • Simpson M, Ford G, Antani S, Demner-Fushman D, Thoma GR. A Lightweight Statistics Package for Interactive Publications Poster at 20th NIH Research Festival (TECH-15), September 2007, National Institutes of Health
  • Simpson MS, You D, Rahman MM, Antani SK, Thoma GR, Demner-Fushman D. Towards the creation of a visual ontology of biomedical imaging entities. AMIA Annu Symp Proc. 2012;2012:866-75. Epub 2012 Nov 3.
  • Simpson MS, Demner-Fushman D. Biomedical Text Mining: A Survey of Recent Progress. In Charu C. Aggarwal and ChengXiang Zhai, Editors. Mining Text Data. (Springer) 2011.
  • Slaughter LA, Soergel D, Rindflesch TC. Semantic Representation of Consumer Questions and Physician Answers Int J Med Inform. 2006 Jul;75(7):513-29. Epub 2005 Aug 24
  • Smith L, Rindflesch TC, Wilbure WJ. MedTag: A Collection of Biomedical Annotations Bioinformatics. 2004 Sep 22;20(14):2320-1.
  • Smith L, Rindflesch TC, Wilbure WJ. MedPost: A Part of Speech Tagger for BioMedical Text Bioinformatics. 2004 Sep 22;20(14):2320-1. Epub 2004 Apr 8
  • Smith LH, Rindflesch TC, Wilbur WJ. The Importance of the Lexicon in Tagging Biological Text Natural Language Engineering 2005.
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  • Sneiderman C, Demner-Fushman D, Fiszman M, Rindflesch TC. Semantic Characteristics of MEDLINE Citations Useful for Therapeutic Decision-making AMIA Annu Symp Proc. 2005:1117.
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  • 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.
  • 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, De S, Demner-Fushman D, Antani SK, Thoma GR. An image feature-based approach to automatically find images for application to clinical decision support. Comput Med Imaging Graph. 2011 Jul;35(5):365-72. doi: 10.1016/j.compmedimag.2010.11.008. Epub 2010 Dec 8.
  • 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
  • Sutton VR, Hauser SE. Preliminary comparison of the SEER and PubMed search engines for answering clinical questions using PubMed on Tap, a PDA-based program for accessing biomedical literature AMIA Annu Symp Proc. 2005:1128
  • Szolovits P, Aberdeen J, Meystre S, Kayaalp M. Panel on: State of the Art of Clinical Narrative Report De-Identification and Its Future [Poster]. Proceedings of the Annual American Medical Informatics Association Fall Symposium: 240–242.
  • 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.
  • 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
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  • Thoma GR, Ford G, Antani SK, Demner-Fushman D, Chung M, Simpson M. Interactive Publication: The document as a research tool. Web Semant. 2010 Jul 1;8(2-3):145-150.
  • Thoma GR, Ford G, Demner-Fushman D, Antani SK, Chung M. Software: Panorama