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  • Abhyankar S, Schluter P, Bennett K, Vreeman D, McDonald CJ. Enabling Interoperability between Healthcare Devices and EHR Systems. In 2017 AMIA Symposium. Wasington DC: IEEE.
  • Abhyankar S, Vreeman DJ, Westra BL, Delaney CW. Comments on the Use of LOINC and SNOMED CT for Representing Nursing Data [Letter]. Int J Nurs Knowl. 2017 Aug 30. doi: 10.1111/2047-3095.12183. [Epub ahead of print]
  • Abhyankar S, Goodwin RM, Sontag M, Yusuf C, Ojodu J, McDonald CJ. An update on the use of health information technology in newborn screening. Semin Perinatol. 2015 Apr;39(3):188-93. doi: 10.1053/j.semperi.2015.03.003. Epub 2015 Apr 29.
  • Abhyankar S, Demner-Fushman D. A simple method to extract key maternal data from neonatal clinical notes. AMIA Annu Symp Proc. 2013 Nov 16;2013:2-9. eCollection 2013.
  • Abhyankar S, McDonald CJ. Overweight, obesity, and all-cause mortality [Letter]. JAMA. 2013 Apr 24;309(16):1680-1. doi: 10.1001/jama.2013.3092.
  • Abhyankar S, Demner-Fushman D, Callaghan F, Leishear K, McDonald CJ. MIMIC-II: a database of 30,000+ patients for ICU research. NIH Intramural Research Festival, Bethesda MD, October 9-12, 2012.
  • Abhyankar S, Demner-Fushman D, McDonald CJ. Standardizing clinical laboratory data for secondary use. J Biomed Inform. 2012 Aug;45(4):642-50. doi: 10.1016/j.jbi.2012.04.012. Epub 2012 May 3.
  • Abhyankar S, Goodwin RM, Zuckerman A, McDonald CJ. Dataset: newborn screening results annotated example HL7 electronic message guidance (v 5.2).
  • Abhyankar S, Therrell B, Eaton R, Cuthbert C, Ojodu J, Copeland S, Goodwin RM, McDonald C. Using LOINC and HL7 to standardize hemoglobinopathy screening result reporting. APHL Newborn Screening and Genetics Testing Symposium. 2011 Nov 7.
  • Abhyankar S, Goodwin RM, Zuckerman AE, McDonald CJ. Dataset: Newborn screening LOINC panel.
  • Abhyankar S, Goodwin RM, Zuckerman AE, McDonald CJ. Dataset: newborn screening LOINC codes (AHIC panel).
  • Abhyankar S, Callaghan FM, Demner-Fushman D, McDonald CJ. Using informatics tools to study obesity and outcomes after critical illness. NLM Informatics Training Conference 2011, National Institutes of Health (NIH) Campus, Natcher Conference Center, Bethesda, MD, June 28-30, 2011.
  • Abhyankar S, Lloyd-Puryear MA, Goodwin R, Copeland S, Eichwald J, Therrell BL, Zuckerman A, Downing G, McDonald CJ. Standardizing newborn screening results for health information exchange. AMIA Annu Symp Proc. 2010 Nov 13;2010:1-5.
  • Ackerman MJ. Anatomy in the Digital Age. In: Rifkin BA, Ackerman MJ. Human Anatomy: From the Renaissance to the Digital Age. 2006 May 2. New York: Abrams. p. 318-329.
  • Ackerman MJ. Visible Human Project. McGraw-Hill 2004 Yearbook of Science & Technology. New York: McGraw-Hill. 2004. p. 369-72.
  • Ackerman MJ, Yoo T. The Visible Human Data Sets (VHD) and Insight Toolkit (ITk): experiments in open source software. AMIA Annu Symp Proc [American Medical Informatics Association Annual Symposium Proceedings]; 2003 Nov 8-12; Washington DC. p. 773.
  • Ackerman MJ. The Visible Human Project Moves from Data to Knowledge. Lékař a technika. 2002;33(1):4-12.
  • Ackerman MJ. Visible Human Project: From Data to Knowledge. In: Haux R, Kulikowski C, editors. Yearbook of Medical Informatics 2002: Medical Imaging Informatics. International Medical Informatics Association (IMIA). p. 115-7.
  • Ackerman MJ, Yoo T, Jenkins D. From Data to Knowledge - The Visible Human Project Continues. In: Patel VL, Rogers R, Haux R, editors. Stud Health Technol Inform [Studies in Health Technology and Informatics] – MEDINFO 2001: Proceedings of the 10th World Congress on Medical Informatics (2001 Sep 2-5; London);84(Part II):887-90. Amsterdam: IOS Press.
  • Ackerman MJ, Banvard RA, guest editors. Computerized Medical Imaging and Graphics;24(3). Elsevier; 2000.
  • Ackerman MJ, Banvard RA. Imaging Outcomes from the National Library of Medicine's Visible Human Project. Comput Med Imaging Graph. 2000 May-Jun;24(3):125-6.
  • Ackerman MJ, Yoo T, Jenkins D. The Visible Human Project: From Data to Knowledge. In: Lemke HU, Vannier MW, Inamura K, Farman AG, Doi K, editors. Proceedings of the 14th International Congress and Exhibition of Computer Assisted Radiology and Surgery (CARS2000); 2000 Jun 28-Jul 1; San Francisco. Amsterdam: Elsevier; 2000 Jun 1. p. 11-6.
  • Ackerman MJ. Electronics and Health Care Revisited: Thirty-Eight Years Later. Proc IEEE. 2000;88(5):706-7. DOI: 10.1109/5.849172.
  • Ackerman MJ. Dataset: Visible Human Project reference data sets.
  • Adamusiak T, Bodenreider O. Quality assurance in LOINC using Description Logic. AMIA Annu Symp Proc. 2012;2012:1099-108. Epub 2012 Nov 3.
  • 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.
  • Amini S, Kilicoglu H, Hooft L, ter Riet G. Are we expressing uncertainty of our claims enough? Towards automatic detection of overstatement of claims [Poster]. 2015. World Conference on Research Integrity (WCRI).
  • An L, Obradovic Z, Smith D, Bodenreider O, Megalooikonomou V. Mining Association Rules among Gene Functions in Clusters of Similar Gene Expression Maps. Workshop proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM09) -- Workshop on Data Mining in Functional Genomics 2009: p. 254-259
  • 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, Long R, Thoma GR. Content-Based Image Retrieval for Large Biomedical Image Archives Medinfo. 2004 Sept.;2004: 829-833.
  • Antani S, Xu X, Long R, Thoma G. Partial Shape Matching for CBIR of Spine X-Ray Images Proc. SPIE Electronic Imaging - Storage and Retrieval Methods and Applications for Multimedia. 2004 Jan; 5307: 1-8.
  • Antani S, Long LR, Thoma GR. A Biomedical Information System for Combined Content-Based Retrieval of Spine X-ray Images and Associated Text Information 3rd Indian Conference on Computer Vision, Graphics, and Image Processing. 2002 Dec.
  • Antani S, Kasturi R, Jain R. A Survey on the Use of Pattern Recognition Methods for Abstraction Indexing and Retrieval of Images and Video Pattern Recognition Journal. 2002;35(4): 945-965.
  • Antani S, Long LR, Lee DJ, Thoma GR. Evaluation of Shape Indexing Methods for Content-Based Retrieval of X-Ray Images Proceedings of IS&T/SPIE Electronic Imaging Science and Technology, Storage and Retrieval for Media Databases. 2003 Jan; 5021: 405-16.
  • Antani S, Crandall D, Kasturi R. Robust Extraction of Text in Video International Conference of Pattern Recognition. 2000 Sept.;1:1445-9.
  • Antani S, Long LR, Thoma GR, Stanley RJ. Vertebra Shape Classification using MLP for Content-Based Image Retrieval International Neural Networks Society and IEEE Neural Networks Society. 2003 July 2003;:160-65.
  • Antani SK. Automatic x-ray screening for tuberculosis. SPIE Newsroom. October 2015. DOI: 10.1117/2.1201509.006128
  • Antani SK. Tuberculosis Chest X-ray Image Data Sets
  • Antani SK, Demner-Fushman D, Li J, Srinivasan BV, Thoma GR. Exploring Use of Images in Clinical Articles for Decision Support in Evidence-Based Medicine Proc. SPIE-IS/T Electronic Imaging. San Jose, CA. January 2008;6815:68150Q(1-10)
  • Antani SK, Deserno TM, Long LR, Thoma GR. Geographically Distributed Complementary Content-Based Image Retrieval Systems for Biomedical Image Informatics Stud Health Technol Inform. 2007;129(Pt 1):493-7
  • Antani SK, Deserno TM, Long LR, Guld MO, Neve L, Thoma GR. Interfacing Global and Local CBIR Systems for Medical Image Retrieval Proc Workshop on Medical Imaging Research (Bildverarbeitung fur die Medizin). March 2007; 166-71.
  • Antani SK, Natarajan M, Long JL, Long RL, Thoma GR. Developing a Comprehensive System for Content-based Image Retrieval of Image and Text from a National Survey SPIE Medical Imaging, February 2005; San Diego, CA; vol. 5748:152-161.
  • Antani SK, Long RL, Thoma GR. Applying Vertebral Boundary Semantics to CBIR of Digitized Spine X-Ray Images Proc SPIE Electronic Imaging Science and Technology, Conference on Storage and Retrieval Methods and Applications for Multimedia. 2005;5682:98-107.
  • 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. Effective Mapping of Biomedical Text to the UMLS Metathesaurus: The MetaMap Program Proc AMIA Symp. 2001:17-21.
  • 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.
  • Ayvas S, Horn J, Hassanzadeh O, Zhu Q, Stan J, Tatonetti NP, Vilar S, Brochhausen M8, Samwald M, Rastegar-Mojarad M, Dumontier M, Boyce RD. Toward a complete dataset of drug-drug interaction information from publicly available sources. J Biomed Inform. 2015 Jun;55:206-17. doi: 10.1016/j.jbi.2015.04.006. Epub 2015 Apr 24.
  • Azuaje F, Wang H, Zheng H, Bodenreider O, Chesneau A. Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions Proc ICDM 2006, Workshop on Data Mining in Bioinformatics: IEEE Computer Society Press; 2006. p. 114 - 119
  • Azuaje F, Wang H, Bodenreider O. Ontology-driven Similarity Approaches to Supporting Gene Functional Assessment Proceedings of the ISMB'2005 SIG meeting on Bio-ontologies 2005:9-10
  • Azuaje FJ, Bodenreider O, Wang H, Dopazo J. Gene Ontology-Driven Similarity for Gene Expression Correlation Analysis Proceedings of the second conference on Standards and Ontologies for Functional Genomics (SOFG 2) 2004:47.
  • Backer A, Bodenreider O, Karp P, Kelly H, Loranger S, Musen M, Sriram R, Wroe C. Knowledge Integration for Bio-Threat Response Los Alamos White Paper
  • Bahr NJ, Nelson SD, Winnenburg R, Bodenreider O. Eliciting the Intension of Drug Value Sets - Principles and Quality Assurance Applications. Stud Health Technol Inform. 2017;245:843-847.
  • Baik SH, Hernandez I, Zhang Y. Evaluating the Initiation of Novel Oral Anticoagulants in Medicare Beneficiaries. J Manag Care Spec Pharm. 2016 Mar;22(3):281-92. doi: 10.18553/jmcp.2016.22.3.281.
  • 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 A, Thorn KE, Tilley C, Peters L. The UMLS knowledge source server: an object model for delivering UMLS data. AMIA Annu Symp Proc. 2003 Nov;:51-55.
  • 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
  • Baorto D, Li L, Cimino JJ. Practical Experience with the Maintenance of a Large Ontology for an Academic Medical Center Journal of Biomedical Informatics; 2009 Jun;42(3):494-503)
  • 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.
  • Beare R, Lowekamp B, Yaniv Z. Image Segmentation, Registration and Characterization in R with SimpleITK. J Stat Softw. 2018 Aug;86. pii: 8. doi: 10.18637/jss.v086.i08. Epub 2018 Sep 4.
  • Bekhuis T, Tseytlin E, Mitchell KJ, Demner-Fushman D. Feature engineering and a proposed decision-support system for systematic reviewers of medical evidence. PLoS One. 2014 Jan 27;9(1):e86277. doi: 10.1371/journal.pone.0086277. eCollection 2014.
  • Bekhuis T, Demner-Fushman D. Screening nonrandomized studies for medical systematic reviews: a comparative study of classifiers. Artif Intell Med. 2012 Jul;55(3):197-207. doi: 10.1016/j.artmed.2012.05.002. Epub 2012 Jun 5.
  • Ben Abacha A, 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, 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. NLM_NIH at TREC 2016 Clinical Decision Support Track. Proceedings of TREC 2016, the 25th Text Retrieval Conference, Gaithersburg, MD, USA, November 2016.
  • Ben Abacha A, 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)
  • Benedict SH, Hoffman K, Martel MK, Abernethy AP, Asher AL, Capala J, Chen RC, Chera B, Couch J, Deye J, Efstathiou JA, Ford E, Fraass BA, Gabriel PE, Huser V, Kavanagh BD, Khuntia D, Marks LB, Mayo C, McNutt T, Miller RS, Moore KL, Prior F, Roelofs E, Rosenstein BS, Sloan J, Theriault A, Vikram B. Overview of the American Society for Radiation Oncology-National Institutes of Health-American Association of Physicists in Medicine Workshop 2015: Exploring Opportunities for Radiation Oncology in the Era of Big Data. Int J Radiat Oncol Biol Phys. 2016 Jul 1;95(3):873-879. doi: 10.1016/j.ijrobp.2016.03.006.
  • Benjamin A. Rifkin, Ackerman MJ. Human Anatomy (From the Renaissance to the Digital Age). New York: Harry N. Abrams; 2006. 344 pages.
  • Bennett AE, Narayan K, Shi D, Hartnell LM, Gousset K, He H, Lowekamp BC, Yoo TS, Bliss D, Freed EO, Subramaniam S. Ion-abrasion scanning electron microscopy reveals surface-connected tubular conduits in HIV-infected macrophages. PLoS Pathog. 2009 Sep;5(9):e1000591. doi: 10.1371/journal.ppat.1000591. Epub 2009 Sep 25.
  • Bergun A, Bodenreider O. An ontology of chemical entities helps identify dependence relations among Gene Ontology terms Proc SMBM-2005
  • Bergun A, Bodenreider O, Mougin F. Classifying diseases with respect to anatomy: a study in SNOMED CT AMIA Annu Symp Proc. 2005:91-5
  • Bergun A, Bodenreider O, Jacquelinet C. Issues in the Classification of Disease Instances with Ontologies Stud Health Technol Inform 2005;116:695-700
  • Bernhardt PJ, Humphrey SM, Rindflesch TC. Determining Prominent Subdomains in Medicine. AMIA Annu Symp Proc. 2005:46-50.
  • Bernhardt PJ, Rindflesch TC, Kilicoglu H, Tringali M. Identifying Anatomical Concepts in Biomedical Text for Automatic Selection of Images Medinfo. 2004 Sept.;2004: 1521.
  • Bhupatiraju R, Fung K, Bodenreider O. MetaMapLite in Excel: Biomedical named-entity recognition for non-technical users. Stud Health Technol Inform (Proc Medinfo): 1252.
  • Biondich PG, Downs SM, Carroll AE, Shiffman RN, McDonald CJ. Collaboration between the medical informatics community and guideline authors: fostering HIT standard development that matters. AMIA Annu Symp Proc. 2006:36-40.
  • Biondich PG, Anand V, Downd SM, McDonald CJ. Using adaptive turnaround documents to electronically acquire structured data in clinical settings. AMIA Annu Symp Proc. 2003:86-90.
  • Biondich PG, Overhage JM, Dexter PR, Downs SM, Lemmon L, McDonald CJ. A modern optical character recognition system in a real world clinical setting: some accuracy and feasibility observations. Proc AMIA Symp. 2002:56-60.
  • 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, Cornet R, Vreeman DJ. Recent Developments in Clinical Terminologies - SNOMED CT, LOINC, and RxNorm. Yearb Med Inform. 2018 Aug;27(1):129-139. doi: 10.1055/s-0038-1667077. Epub 2018 Aug 29.
  • Bodenreider O. Identifying missing hierarchical relations in SNOMED CT from logical definitions based on the lexical features of concept names. Proceedings of the 6th International Conference on Biomedical Ontology (ICBO 2016), 2016: p. (electronic proceedings: http://ceur-ws.org/Vol-1747/IT601_ICBO2016.pdf).
  • Bodenreider O, Rodriguez L. Analyzing U.S. prescription lists with RxNorm and the ATC/DDD Index. AMIA Annu Symp Proc. 2014 Nov 14;2014:297-306. eCollection 2014.
  • Bodenreider O, Peters L, Nguyen T. RxClass – Navigating between Drug Classes and RxNorm Drugs (Demo). Prc. ICBO 2014
  • Bodenreider O. Multi-lingual features of the Unified Medical Language System. Proc. CLEF-ER 2013 workshop 2013.
  • Bodenreider O. Disease Ontologies In: Dubitzky W, Wolkenhauer O, Cho K-H, Yokota H, editors. Encyclopedia of Systems Biology: Springer; 2013. p. 578-581.
  • Bodenreider O, Nguyen D, Chiang P, Chuang P, Madden M, Winnenburg R, McClure R, Emrick S, D'Souza I. The NLM value set authority center (Poster). Stud Health Technol Inform. 2013;192:1224.
  • Bodenreider O. API: Prescribable
  • Bodenreider O. Web Interface: RxMix
  • Bodenreider O, Peters L, Nguyen T. Browser and application programming interfaces for drug information sources. AMIA Annu Symp Proc, 2011: p. 2129.
  • Bodenreider O, Peters L, Nguyen T. RxNav: Browser and Application Programming Interfaces for Drug Information Sources [Abstract]. AMIA Annu Symp Proc 2011:2129
  • Bodenreider O, Demner-Fushman D. Investigating drug classes in biomedical terminologies from the perspective of clinical decision support. AMIA Annu Symp Proc. 2010 Nov 13;2010:56-60.
  • Bodenreider O, Mougin F, Burgun A. Automatic Determination of Anti-coagulation Status with NDF-RT Proceedings of the 13th ISMB'2010 SIG meeting Bio-ontologies 2010:140-143
  • Bodenreider O, Burgun A. A framework for comparing phenotype annotations of orthologous genes. Stud Health Technol Inform. 2010;160(Pt 2):1309-13.
  • Bodenreider O. Using SNOMED CT in combination with MedDRA for reporting signal detection and adverse drug reactions reporting. AMIA Annu Symp Proc. 2009 Nov 14;2009:45-9.
  • Bodenreider O. Provenance information in biomedical knowledge repositories – A use case. Proceedings of the First International Workshop on the role of Semantic Web in Provenance Management (SWPM 2009), 2009: p. (electronic proceedings: http://ceur-ws.org/Vol-526/).
  • Bodenreider O, Peters LB. A graph-based approach to auditing RxNorm. J Biomed Inform. 2009 Jun;42(3):558-70. doi: 10.1016/j.jbi.2009.04.004. Epub 2009 Apr 24.
  • Bodenreider O, Burgun A. Desiderata for an Ontology of Diseases for the Annotation of Biological Datasets Proc ICBO 2009:39-42
  • Bodenreider O. Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support. Geissbuhler A, Kulikowski C, editors. IMIA Yearbook of Medical Informatics 2008. Methods Inf Med, 2008. 47(Suppl 1): p. 67-79.
  • Bodenreider O. Comparing SNOMED CT and the NCI Thesaurus through Semantic Web Technologies Proc. KR-MED 2008
  • Bodenreider O. Ontologies and Data Integration in Biomedicine: Success Stories and Challenging Issues In: Bairoch A, Cohen-Boulakia S, Froidevaux C, editors. Proceedings of the Fifth International Workshop on Data Integration in the Life Sciences (DILS 2008); Berlin Heidelberg New York: Springer; 2008. p. 1-4
  • Bodenreider O. Semantic Web for Translational Biomedicine: Two Pilot Experiments [Abstract]. Proc. MIA Summit on Translational Bioinformatics 2008:141
  • Bodenreider O, Coban ZH, Doganay MC, Erdem E, Kosucu H. A preliminary report on answering complex queries related to drug discovery using answer set programming. Proceedings of the 3rd International Workshop on Applications of Logic Programming to the (Semantic) Web and Web Services (ALPSWS2008), 2008: p. 85-90 (electronic proceedings: http://ceur-ws.org/Vol-434/).
  • Bodenreider O. Issues in Mapping LOINC Laboratory Tests to SNOMED CT AMIA Annu Symp Proc. 2008 Nov 6:51-5
  • Bodenreider O, Burgun A. Oncologic Pathology in Biomedical Terminologies: Challenges for Data Integration Proc APIII conference on "Anatomic Pathology Informatics and Imaging Support for Translational Medicine", Pittsburgh, Pennsylvania, September 9-12, 2007:Abstract 342.
  • Bodenreider O, Smith B, Kumar A, Burgun A. Investigating Subsumption in SNOMED CT: An Exploration into Large Description Logic-based Biomedical Terminologies Artif Intell Med. 2007 Mar;39(3):183-95. Epub 2007 Jan 22
  • Bodenreider O, Zhang S. Comparing the Representation of Anatomy in the FMA and SNOMED CT AMIA Annu Symp Proc. 2006:46-50
  • Bodenreider O. Lexical, Terminological and Ontological Resources for Biological Text Mining Ananiadou S, McNaught J, editors. Text mining for biology and biomedicine: Artech House; 2006. p. 43-66.
  • Bodenreider O, Stevens R. Bio-ontologies: Current Trends and Future Directions Brief Bioinform. 2006 Sep;7(3):256-74. Epub 2006 Aug 9
  • Bodenreider O, Burgun A. Linking the Gene Ontology to other biological ontologies Proc ISMB'2005 SIG meeting on Bio-ontologies 2005:17-18
  • Bodenreider O, Aubry M, Burgun A. Non-Lexical Approaches to Identifying Associative Relations in the Gene Ontology Pac Symp Biocomput. 2005:91-102
  • Bodenreider O, Hayamizu TF, Ringwald M, De Coronado S, Zhang S. Of mice and men: aligning mouse and human anatomies. AMIA Annu Symp Proc. 2005:61-5.
  • Bodenreider O, Burgun A. Aligning Knowledge Sources in the UMLS: Methods, Quantitative Results, and Applications Medinfo. 2004 Sept.;2004:327-331.
  • Bodenreider O, Nelson SJ. RxNav: A Semantic Navigation Tool for Clinical Drugs Medinfo. 2004 Sept.;2004: 1530.
  • Bodenreider O. Web Interface: RxNav
  • Bodenreider O, Aubry M, Burgun A. From Functional Similarity Among Gene Products to Dependence Relations Among Gene Ontology Terms Proc SOFG, 2004:53.
  • Bodenreider O, McCray AT. Exploring Semantic Groups Through Visual Approaches J Biomed Inform. 2003 Dec;36(6):414-432.
  • Bodenreider O, Zhang S. Semantic Integration in Biomedicine Proceedings of the Semantic Integration Workshop at the Second International Semantic Web Conference. 2003;: 156-157.
  • Bodenreider O. The Unified Medical Language System (UMLS): Integrating Biomedical Terminology Nucleic Acids Res; Database Issue. 2004;32: 267-70.
  • Bodenreider O, Azuaje F. Incorporating Ontology-Driven Similarity Knowledge Into Functional Genomics: An Exploratory Study Proceedings of the 2004 IEEE Fourth Symposium on Bioinformatics and Bioengineering (BIBE-2004) 2004:317-324.
  • Bodenreider O, Smith B, Burugn A. The Ontology-Epistemology Divide: A Case Study in Medical Terminology Proceedings of the Third International Conference on Formal Ontology in Information Systems (FOIS2004): IOS Press; 2004. p. 185-195.
  • Bodenreider O, Mitchell JA. Graphical Visualization and Navigation of Genetic Disease Information AMIA Annu Symp Proc. 2003:792.
  • Bodenreider O. Strength in Numbers: Exploring Redundancy in Hierarchical Relations Across Biomedical Terminologies AMIA Annu Symp Proc. 2003:101-5.
  • Bodenreider O. A Semantic Navigation Tool for the UMLS AMIA Annu Symp Proc. 2000;: 971.
  • Bodenreider O, Mitchell JA, McCray AT. Biomedical Ontologies Pacific Symposium on Biocomputing: World Scientific. 2003;:562-564.
  • Bodenreider O, Burgun A. Characterizing the Definitions of Anatomical Concepts in WordNet and Specialized Sources Proc. of the First Global WordNet Conference. 2002;:223-230.
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  • Bodenreider O, Burgun A, Mitchell JA. Evaluation of WordNet as a Source of Lay Knowledge for Molecular Biology and Genetic Diseases: A Feasibility Study Stud Health Technol Inform. 2003;95:379-84.
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  • Bodenreider O, Burgun A, Rindflesch TC. Assessing the Consistency of a Biomedical Terminology Through Lexical Knowledge Int J Med Inf. 2002 Dec 4;67(1-3):85-95.
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  • Cohen KB, Demner-Fushman D. Biomedical Natural Language Processing John Benjamins Publishing Company, 2014. DOI: 10.1075/nlp.11
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  • 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, Abhyankar S, Callaghan FM, McDonald CJ. Extracting sources of admission and discharge destinations from discharge summaries [Poster]. AMIA 2011 Fall Symposium.
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  • Demner-Fushman D, Karpinski J, Thoma GR. Automatically building a repository to support evidence-based practice. Proceedings of the 2nd Workshop on Building and evaluating resources for biomedical text mining (BioTxtM 2010), 7th Language Resources and Evaluation Conference (LREC 2010). Valetta, Malta. May 2010.
  • Demner-Fushman D, Chapman WW, McDonald CJ. What can natural language processing do for clinical decision support? J Biomed Inform. 2009 Oct;42(5):760-72. doi: 10.1016/j.jbi.2009.08.007. Epub 2009 Aug 13.
  • Demner-Fushman D, Ananiadou S, Cohen KB, Pestian J, Tsujii J, Webber B. Themes in biomedical natural language processing: BioNLP08 BMC Bioinformatics. 2008 Nov 19;9 Suppl 11:S1.
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  • 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. 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, Humphrey SM, Ide NC, Loane RF, Ruch P, Ruiz ME, Smith LH, Tanabe LK, Wilbur WJ, Aronson AR. Finding Relevant Passages in Scientific Articles: Fusion of Automatic Approaches vs. an Interactive Team Effort. Proc TREC 2006, 569-76.
  • Demner-Fushman D, Hauser SE, Thoma GR. The role of title, metadata and abstract in identifying clinically relevant journal articles. AMIA Annu Symp Proc. 2005:191-5.
  • Demner-Fushman D, Hauser SE, Ford G, Thoma GR. Organizing Literature Information for Clinical Decision Support Stud Health Technol Inform. 2004;107(Pt 1):602-6.
  • 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
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  • Deserno TM, Antani SK, Long LR. Gaps in Content-Based Image Retrieval Proc SPIE Medical Imaging 2007. Vol. 6516: 65160J-1-11
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  • Dhombres F, Winnenburg R, Case JT, Bodenreider O. Extending the coverage of phenotypes in SNOMED CT through post-coordination. Stud Health Technol Inform. 2015;216:795-9.
  • 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.
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  • 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.
  • Doughty E, Kirk B, Kann MG, Bodenreider O. Integrating Drug-gene Associations Mined from the Literature with Drug Information Sources - A Comparison with PharmGKB Proceedings of the 2011 PSB Workshop on Mining the Pharmacogenomics Literature 2011
  • Doughty E, Kertesz-Farkas A, Bodenreider O, Thompson G, Adadey A, Peterson T, Kann MG. Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature. Bioinformatics. 2011 Feb 1;27(3):408-15. doi: 10.1093/bioinformatics/btq667. Epub 2010 Dec 7.
  • Downs SM, van Dyck PC, Rinaldo P, McDonald CJ, Howell RR, Zuckerman A, Downing G. Improving newborn screening laboratory test ordering and result reporting using health information exchange. J Am Med Inform Assoc. 2010 Jan-Feb;17(1):13-8. doi: 10.1197/jamia.M3295.
  • Drake TA, Braun J, Marchevsky A, Kohan IS, Fletcher C, Chueh H, Beckwith B, Berkowicz D, Kuo F, Zeng QT, Balis U, Holzbach A, McMurry A, Gee CE, McDonald C, Schadow G, Davis M, Hattab EM, Blevins L, Hook J, Becich M, Crowley RS, Taube SE, Berman J. A System for Sharing Routine Surgical Pathology Specimens Across Institutions: The Shared Pathology Informatics Network Hum Pathol. 2007 Aug;38(8):1212-25. Epub 2007 May 8
  • Driessen J, Baik SH, Zhang Y. Trends in Off-Label Use of Second-Generation Antipsychotics in the Medicare Population From 2006 to 2012. Psychiatr Serv. 2016 Aug 1;67(8):898-903. doi: 10.1176/appi.ps.201500316. Epub 2016 Apr 15.
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  • Dumontier M, Andersson B, Batchelor C, Domarew C, Jentzsch A, Luciano J, Pichler E, Prud'hommeaux E, Whetzel PL, Bodenreider O, Clark T, Harland L, Kashyap V, Kos P, Kozlovsky J, McGurk J, Ogbuji C, Samwald M, Schriml L, Tonellato PJ, Zhao J, Stephens S. The Translational Medicine Ontology: Driving Personalized Medicine by Bridging the Gap from Bedside to Bench Proceedings of the 13th ISMB'2010 SIG meeting Bio-ontologies 2010:120-123
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  • Ebert DS, Morris CJ, Rheingans P, Yoo TS. Designing Effective Transfer Functions for Volume Rendering from Photographic Volumes. IEEE Transactions on Visualization and Computer Graphics. 2002;8(2):183-97.
  • Edinger T, Demner-Fushman D, Cohen AM, Bedrick S, Hersh W. Evaluation of Clinical Text Segmentation to Facilitate Cohort Retrieval. AMIA Annu Symp Proc. 2018 Apr 16;2017:660-669. eCollection 2017.
  • 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.
  • Erdogan H, Erdem E, Bodenreider O. Exploiting UMLS semantics for checking semantic consistency among UMLS concepts. Stud Health Technol Inform. 2010;160(Pt 1):749-53.
  • Fallavollita P, Kersten M, Linte CA, Pratt P, Yaniv Z. Guest Editors' Foreword: Special Issue on Augmented Environments for Computer-Assisted Interventions CAI systems enable more precise, safer, and less invasive interventional treatments [Letter]. Healthc Technol Lett. 2017 Oct 27;4(5):149. doi: 10.1049/htl.2017.0078. eCollection 2017 Oct.
  • 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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  • Finnell JT, Overhage JM, McDonald CJ. In support of emergency department health information technology. AMIA Annu Symp Proc. 2005:246-50.
  • Fiszman M, Shin D, Sneiderman CA, Jin H, Rindflesch TC. A Knowledge Intensive Approach to Mapping Clinical Narrative to LOINC. AMIA Annu Symp Proc. 2010 Nov 13;2010:227-31.
  • Fiszman M, Bray B, Shin D, Kilicoglu H, Bennett GC, Bodenreider O, Rindflesch TC. Combining relevance assignment with quality of the evidence to support guideline development. Stud Health Technol Inform. 2010;160(Pt 1):709-13.
  • 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.
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  • 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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  • Fiszman M, Rindflesch TC, Kilicoglu H. Abstraction Summarization for Managing the Biomedical Research Literature Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics. 2004;:76-83.
  • Fiszman M, Rindflesch TC, Kilicoglu H. Integrating a Hypernymic Proposition Interpreter into a Semantic Processor for Biomedical Texts AMIA Annu Symp Proc. 2003:239-43.
  • Fiszman M, Rindflesch TC, Kilicoglu H. Interpreting Hypernymic Propositions in an Online Medical Encyclopedia AMIA Annu Symp Proc. 2003:840.
  • Fletcher A, Yoo TS. Toward Public Volume Database Management: A Case Study of NOVA: The National Online Volumetric Archive. In: Ratib OM, Huang HK, editors. Proceedings of SPIE Medical Imaging 2004: PACS [Picture Archiving and Communication Systems] and Imaging Informatics; 2004 Feb 16-21; San Diego;5371:10 pages. SPIE; 2004 Apr 19. DOI: 10.1117/12.535376.
  • 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, Miller N. The Role of the National Library of Medicine Web Sites in Newborn Screening Education Ment Retard Dev Disabil Res Rev. 2006;12(4):305-12
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  • Fontelo P, Faustorilla J, Gavino A, Marcelo A. Digital pathology - implementation challenges in low-resource countries. Anal Cell Pathol (Amst). 2012;35(1):31-6. doi: 10.3233/ACP-2011-0024.
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  • Fu GE, Bolton NQ, Rosinach LI, Furlong V, Nguyen AP, Sheth O, Bodenreider O, Dumontier M. Exposing provenance metadata using different RDF models. Proceedings of the International Conference on Semantic Web Applications and Tools for Life Sciences (SWAT4LS 2015), 2015: p. (electronic proceedings: http://www.swat4ls.org/wp-content/uploads/2015/10/SWAT4LS_2015_paper_11.pdf).
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  • Fung K, Kapusnik-Uner J, Cunningham J, Higby-Baker S, Bodenreider O. Comparison of three commercial knowledge bases for detection of drug-drug interactions in clinical decision support. J Am Med Inform Assoc. 2017 Jul 1;24(4):806-812. doi: 10.1093/jamia/ocx010.
  • Fung K, Xu J, Amey F, Gutierrez AR, D'Have A. Leveraging Lexical Matching and Ontological Alignment to Map SNOMED CT Surgical Procedures to ICD-10-PCS. AMIA Annu Symp Proc. 2017 Feb 10;2016:570-579. eCollection 2016.
  • Fung K, Kayaalp M, Callaghan FM, McDonald CJ. Comparison of electronic pharmacy prescription records with manually collected medication histories in an emergency department. Ann Emerg Med. 2013 Sep;62(3):205-11. doi: 10.1016/j.annemergmed.2013.04.014. Epub 2013 May 18.
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  • Fung K, Scichilone R, Giannangelo K. Benefits and Use Cases of a SNOMED CT to ICD-10 Map. AMIA Annu Symp Proc 2010: 1049.
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  • Fung K, Berglund D, Scichilone R, Brear H, Giannangelo K. SNOMED CT to ICD-10 mapping project update - a joint task for IHTSDO and WHO-FIC. Meeting of the WHO Collaborating Centers for the Family of International Classifications. October 2009.
  • Fung KW, Richesson R, Smerek M, Pereira KC, Green BB, Patkar A, Clowse M, Bauck A, Bodenreider O. Preparing for the ICD-10-CM Transition: Automated Methods for Translating ICD Codes in Clinical Phenotype Definitions. EGEMS (Wash DC). 2016 Apr 12;4(1):1211. doi: 10.13063/2327-9214.1211. eCollection 2016.
  • Fung KW, Xu J. An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT. J Am Med Inform Assoc. 2015 May;22(3):649-58. doi: 10.1093/jamia/ocu022. Epub 2015 Feb 26.
  • Fung KW, Richesson R, Bodenreider O. Coverage of rare disease names in standard terminologies and implications for patients, providers, and research. AMIA Annu Symp Proc. 2014 Nov 14;2014:564-72. eCollection 2014.
  • Fung KW, Jao CS, Demner-Fushman D. Extracting drug indication information from structured product labels using natural language processing. J Am Med Inform Assoc. 2013 May 1;20(3):482-8. doi: 10.1136/amiajnl-2012-001291. Epub 2013 Mar 9.
  • Fung KW, Bodenreider O. Knowledge representation and ontologies. Richesson RL, Andrews JE (Eds.). Clinical Research Informatics, Health Informatics, DOI 10.1007/978-1-84882-448-5_14, Springer-Verlag London Limited Publishing 2012.
  • Fung KW. Dataset: ICD-9-CM to SNOMED CT Map
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  • Fung KW. Dataset: Nursing Problem List Subset of SNOMED CT
  • Fung KW, McDonald C, Srinivasan S. The UMLS-CORE project: a study of the problem list terminologies used in large healthcare institutions. J Am Med Inform Assoc. 2010 Nov-Dec;17(6):675-80. doi: 10.1136/jamia.2010.007047.
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  • Fung KW, McDonald C, Bray BE. RxTerms - a drug interface terminology derived from RxNorm. AMIA Annu Symp Proc. 2008 Nov 6:227-31
  • 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.
  • Fung KW, Hole WT, Srinivasan S. Who is using the UMLS and how - insights from the UMLS user annual reports. AMIA Annu Symp Proc. 2006:274-8.
  • Fung KW, Bodenreider O. Utilizing the UMLS for Semantic Mapping between Terminologies. AMIA Annu Symp Proc. 2005:266-70.
  • 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.
  • Gartrell K, Trinkoff AM, Storr CL, Wilson ML. Electronic Personal Health Record Use Among Nurses in the Nursing Informatics Community. Comput Inform Nurs. 2015 Jul;33(7):306-14. doi: 10.1097/CIN.0000000000000163.
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  • Gay CW, Kayaalp M, Aronson AR. Semi-Automatic Indexing of Full Text Biomedical Articles AMIA Annu Symp Proc. 2005:271-5
  • Geller J, Morrey CP, Xu J, Halper M, Elhanan G, Perl Y, Hripcsak G. Comparing inconsistent relationship configurations indicating UMLS errors. AMIA Annu Symp Proc. 2009 Nov 14;2009:193-7.
  • Goedert JJ, Scoppio BM, Pfeiffer R, Neve L, Federici AB, Long LR, Dolan BM, Brambati M, Bellinvia M, Lauria C, Preiss L, Boneschi V, Whitby D, Brambilla L. Treatment of classic Kaposi sarcoma with a nicotine dermal patch: a phase II clinical trial. phase II clinical trial. J Eur Acad Dermatol Venereol. 2008 Sep;22(9):1101-9. doi: 10.1111/j.1468-3083.2008.02720.x. Epub 2008 Apr 1.r 1.
  • Golbreich C, Zhang S, Bodenreider O. The Foundational Model of Anatomy in OWL: Experience and Perspectives Web Semant. 2006;4(3):181-195
  • Golbreich C, Zhang S, Bodenreider O. Migrating the FMA from Protege to OWL Proc of the Eighth International Protege Conference 2005:108-111.
  • 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 RM, Abhyankar S, Zuckerman AE, Copeland SM, Sarkar D, Cuthbert C, Therrell BL, Ojodu J, Lloyd-Puryear MA, Jenders RA, McDonald CJ. Newborn screening health information exchange: updated guidance for coding and HL7 electronic messaging. APHL Newborn Screening and Genetics Testing Symposium. 2011 Nov 7.
  • 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.
  • Goodwin T, Demner-Fushman D, Fung K, Do P. Overview of the TAC 2019 Track on Drug-Drug Interaction Extraction from Drug Label. Proceedings of the Text Analysis Conference (TAC) 20 19, Gathersburg, MD, USA, November 12-13, 2019.
  • Gordon E, Waisberg M, Ersoy I, Pena M, Jaeger S, Pierce S. The eye as a window to investigate the CNS microvasculature during a dynamic malaria infection (Abstract). Third Annual Seminar on Molecular Imaging of Infectious Diseases, September 23, 2013.
  • Gordon S, Lotenberg S, Long LR, Antani SK, Jeronimo J, Greenspan H. Evaluation of uterine cervix segmentations using ground truth from multiple experts. Comput Med Imaging Graph. 2009 Apr;33(3):205-16. doi: 10.1016/j.compmedimag.2008.12.002. Epub 2009 Feb 13.
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  • 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.
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  • 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.
  • Kashyap V, Ramakrishan C, Rindflesch TC. Towards Semi-Automatic Generation of Biomedical Ontologies AMIA Annu Symp Proc. 2003 Nov;:886.
  • 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.
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  • 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, 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.
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  • 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.
  • Kho A, Dexter P, Warvel J, Commiskey M, Wilson S, McDonald CJ. Computerized reminders to improve isolation rates of patients with drug-resistant infections: design and preliminary results. AMIA Annu Symp Proc. 2005:390-4.
  • Kho AN, Lemmon L, Commiskey M, Wilson SJ, McDonald C. Use of a Regional Health Information Exchange to Detect Crossover of Patients with MRSA between Urban Hospitals J Am Med Inform Assoc. 2008 Mar-Apr;15(2):212-6. Epub 2007 Dec 20.
  • Kho AN, Dexter PR, Warvel JS, Belsito AW, Commiskey M, Wilson SJ, Hui SL, McDonald CJ. An Effective Computerized Reminder for Contact Isolation of Patients Colonized or Infected with Resistant Organisms Int J Med Inform. 2008 Mar;77(3):194-8. Epub 2007 Mar 29
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  • 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. Inferring Implicit Causal Relationships in Biomedical Literature. Proc 15th Workshop on Biomedical Natural Language Processing. Pages 46-55. 2016.
  • 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, Demner-Fushman D. Bio-SCoRes: A Smorgasbord Architecture for Coreference Resolution in Biomedical Text. PLoS One. 2016 Mar 2;11(3):e0148538. doi: 10.1371/journal.pone.0148538. eCollection 2016.
  • Kilicoglu H, 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, Rogers W. A Hybrid System for Extracting Chemical-Disease Relationships from Scientific Literature. 2015. BioCreative 5 Proceedings.
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  • 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 GR, Aronson AR, Mork JG, Cohen BA, Lehmann CU. Application of a Medical Text Indexer to an Online Dermatology Atlas. MedInfo. 2004 Sept.;2004.
  • 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
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  • Kim J, Tran L, Chew E, Antani SK. Optic Disc and Cup Segmentation for Glaucoma Characterization Using Deep Learning 2019 IEEE 32th International Symposium on Computer-Based Medical Systems (CBMS), pp 489-494, Cordoba, Spain, June 2019.
  • Kim J, Tran L, Chew E, Antani SK, Thoma GR. Optic Disc Segmentation in Fundus Images Using Deep Learning. SPIE Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications, Vol. 10954, San Diego, USA, February 2019.
  • Kim J, Candemir S, Chew E, Thoma GR. Region of Interest Detection in Fundus Images Using Deep Learning and Blood Vessel Information. The 31th IEEE International Symposium on Computer-Based Medical Systems. (IEEE CBMS 2018), pp. 357-362, Karlstad, Sweden, June 2018.
  • Kim J, Le DX, Thoma GR. Automated Labeling for Biomedical Journals Published in Foreign Languages Proc. 8th World Multiconference on Systemics, Cybernetics and Informatics. 2004 Jul.;:444-9.
  • Kim W, Aronson AR, Wilbur WJ. Automatic MeSH Term Assignment and Quality Assessment Proc AMIA Symp. 2001:319-23.
  • Krainak DM, Long LR, Thoma GR. A Method of Content-Based Retrieval for a Spinal X-Ray Image Database Proc. of SPIE Medical Imaging: PACS and Integrated Medical Systems. 2002 Feb;4685.
  • Kroth PJ, Dexter PR, Overhage JM, Knipe C, Hui SL, Belsito A, McDonald CJ. A computerized decision support system improves the accuracy of temperature capture from nursing personnel at the bedside. AMIA Annu Symp Proc. 2006:444-8.
  • Kroth PJ, Murray MD, McDonald CJ. Undertreatment of osteoporosis in women, based on detection of vertebral compression fractures on chest radiography. Am J Geriatr Pharmacother. 2004 Jun;2(2):112-8.
  • Kroth PJ, Belsito A, Overhage JM, McDonald CJ. Bedside vital signs capture for the non-ICU setting--an open source, PC-based solution. Proc AMIA Symp. 2001:344-8.
  • Kury F, Baik SH, McDonald CJ. Cardioprotective Drugs and Incident Dementias in Medicare's Big Data. AMIA 2017.
  • Kury F, Bodenreider O. Desiderata for drug classification systems for their use in analyzing large drug prescription datasets. Proceedings of the 3rd Workshop on Data Mining for Medical Informatics (DMMI 2016), 2016.
  • Kury F, Cimino JJ. Identifying Repetitive Institutional Review Board Stipulations by Natural Language Processing and Network Analysis. Stud Health Technol Inform. 2015;216:579-83.
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  • Laflamme MR, Dexter PR, Graham MF, Hui SL, McDonald CJ. Efficiency, comprehensiveness and cost-effectiveness when comparing dictation and electronic templates for operative reports. AMIA Annu Symp Proc. 2005:425-9.
  • Laflamme MR, Wilcox DC, Sullivan J, Schadow G, Lindbergh D, Warvel J, Buchanan H, Ising T, Abernathy G, Perkins SM, Daggy J, Frankel RM, Dexter P, McDonald CJ, Weiner M. A pilot study of usefulness of clinician-patient videoconferencing for making routine medical decisions in the nursing home. J Am Geriatr Soc. 2005 Aug;53(8):1380-5.
  • Le DX, Thoma GR. Automated Article Links Identification for Web-Based Online Medical Journals Proc. 8th World Multiconference on Systemics, Cybernetics and Informatics. 2004 Jul.;5:462-6.
  • Le T, Rance B, Bodenreider O. Network visualization of UMLS source vocabularies using semantic groups. AMIA Annu Symp Proc, 2013: p. 90
  • Lee D, Antani SK, Xu X, Long LR. Design and Evaluation of a Curve Matching-based Spine X-ray Image Retrieval System SPIE Medical Imaging, February 2005; San Diego, CA; vol. 5748:365-373
  • Lee DJ, Antani S, Long LR. Similarity Measurement Using Polygon Curve Representation and Fourier Descriptors for Shape-Based Vertebral Image Retrieval Proc. of SPIE Medical Imaging: Image Processing. 2003;5032(3): 1283-91.
  • Leiman D, Twose C, Lee TY, Fletcher A, Yoo T. Rendering an Archive in Three Dimensions. In: Galloway RL Jr, editor. Proceedings of SPIE Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display; 2003 Feb 16-21; San Diego;5029:9 pages. SPIE; 2003 May 30. DOI: 10.1117/12.480210.
  • 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
  • Leroy G, Rindflesch TC. Effects of Information and Machine Learning Algorithms on Word Sense Disambiguation with Small Datasets Int J Med Inform. 2005 Aug;74(7-8):573-85
  • Leroy G, Rindflesch TC. Using Symbolic Knowledge in the UMLS to Disambiguate Words in Small Datasets with a Naive Bayes Classifier Medinfo. 2004 Sept.;2004: 381-385.
  • 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.
  • Libbus B, Kilicoglu H, Rindflesch TC, Mork JG, Aronson AR. Using Natural Languge Processing, Locus Link, and the Gene Ontology to Compare OMIM to MEDLINE Proceedings of the HLT-NAACL Workshop on Linking the Biological Literature, Ontologies and Databases: Tools for Users. 2004;:69-76.
  • Libbus B, Rindflesch TC. NLP-Based Information Extraction for Managing the Molecular Biology Literature Proc AMIA Symp. 2002:445-9.
  • Lin C, Loftin RB, Kakadiaris IA, Chen D, Su S. Interaction with Medical Volume Data on a Projection Workbench. 10th International Conference on Artificial Reality and Telexistence (ICAT 2000); 2000 Oct 25-27; National Taiwan University, Taipei, Taiwan.
  • Lin J, Demner-Fushman D. Semantic clustering of answers to clinical questions. AMIA Annu Symp Proc. 2007 Oct 11:458-62.
  • Lin J, Demner-Fushman D. 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, Demner-Fushman D. "Bag of words" is not enough for strength of evidence classification AMIA Annu Symp Proc. 2005:1031.
  • Lin M-C, Vreeman DJ, McDonald CJ, Huff SM. Correctness of Voluntary LOINC Mapping for Laboratory Tests in Three Large Institutions. AMIA Annu Symp Proc. 2010 Nov 13;2010:447-51.
  • Lin MC, Vreeman DJ, McDonald CJ, Huff SM. Auditing consistency and usefulness of LOINC use among three large institutions - using version spaces for grouping LOINC codes. J Biomed Inform. 2012 Aug;45(4):658-66. doi: 10.1016/j.jbi.2012.01.008. Epub 2012 Jan 28.
  • Lin MC, Vreeman DJ, McDonald CJ, Huff SM. A characterization of local LOINC mapping for laboratory tests in three large institutions. Methods Inf Med. 2011;50(2):105-14. doi: 10.3414/ME09-01-0072. Epub 2010 Aug 20.
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  • 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. Infobuttons Linked to Indivo, a Patient Controlled Health Record. AMIA Annu Symp Proc; 2009 Nov 14-18; San Francisco. p. 940.
  • 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 H, Aronson AR, Friedman C. A Study of Abbreviations in MEDLINE Abstracts AMIA Annu Symp. 2002 ;():464-8.
  • 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.
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  • 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. 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)
  • Lomax J, McCray AT. Mapping the Gene Ontology Into the Unified Medical Language System Comparative and Functional Genomics
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  • Long LR, Antani SK, Thoma GR. A Prototype Content-Based Image Retrieval System for Spine X-Rays Proc. 16th IEEE Symposium on Computer-Based Medical Systems. 2003 June;: 156-62.
  • Long LR, Antani S, Lee DJ, Krainak DM, Thoma GR. Biomedical Information from a National Collection of Spine X-Rays: Film to Content-Based Retrieval Proc. of SPIE Medical Imaging: PACS and Integrated Medical Information Systems. 2003 Feb;5033: 70-84.
  • Long LR, Thoma GR. Computer-Assisted Retrieval of Biomedical Image Features from Spine X-Rays: Progress and Prospects Proceeding of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS). 2001 Jul;:46-50.
  • Long LR, Thoma GR. Identification and Classification of Spine Vertebrae by Automated Methods Proc. SPIE Medical Imaging: Image Processing. 2001 Feb;:1478-89.
  • Long LR, Krainak DM, Thoma GR. Identifying Image Structures for Content-Based Retrieval of Digitized Spine X-Rays Proc. of SPIE Medical Imaging: Image Processing. 2002 Feb; 4684.
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