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  • Madani S, Henderson J, Fung K. Development of an oncology subset of SNOMED CT based on patient notes. AMIA Annu Symp Proc 2016: 91-92.
  • Yaniv Z, Faruque J, Howe S, Dunn K, Sharlip D, Bond A, Perillan P, Bodenreider O, Ackerman M, Yoo TS. The national library of medicine pill image recognition challenge: An initial report. Z. Yaniv et al., "The national library of medicine pill image recognition challenge: An initial report," 2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, 2016, pp. 1-9. doi: 10.1109/AIPR.2016.8010584. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8010584&isnumber=8010542.
  • Villegas M, Müller R, De Herrera A, Schaer R, Bromuri S, Gilbert A, Piras L, Wang J, Yan F, Ramisa A, Dellandrea E, Gaizauskas R, Mikolajczyk K, Puigcerver J, Toselli A, Sánchez J, Vidal E. General Overview of ImageCLEF at the CLEF 2016 Labs. CLEF Proceedings, Springer, 2016
  • Mrabet Y, Kilicoglu H, Demner-Fushman D. Unsupervised Ranking of Knowledge Bases for Named Entity Recognition. ECAI 2016, The Hague, The Netherlands, 1248-1255.
  • Boyce RD, Voss EA, Huser V, Evans L, Reich C, Duke JD, Tatonetti NP, Lorberbaum T, Dumontier M, Hauben M, Wallberg M. LAERTES: An open scalable architecture for linking pharmacovigilance evidence sources with clinical data. Proc International Conference on Biomedical Ontology and BioCreative (ICBO BioCreative 2016). http://icbo2016.cgrb.oregonstate.edu/node/354.
  • Homer ML, Palmer NP, Bodenreider O, Cami A, Chadwick L, Mandl KD. The Drug Data to Knowledge Pipeline: Large-Scale Claims Data Classification for Pharmacologic Insight. AMIA Jt Summits Transl Sci Proc. 2016 Jul 20;2016:105-11. eCollection 2016.
  • 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.
  • Demner-Fushman D, Kilicoglu H. Dataset: CHQA Named Entity Dataset
  • 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).
  • 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.
  • Demner-Fushman D, Roberts K. Dataset: Question Decomposition Data
  • Demner-Fushman D, Roberts K. Dataset: Question Type Data
  • Cimino JJ, Huser V. Characterization of the Context of Drug Concepts in Research Protocols: An Empiric Study to Guide Ontology Development. AMIA Annu Symp Proc. 2015 Nov 5;2015:441-7. eCollection 2015.
  • 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.
  • Dhombres F, Bodenreider O. Investigating the lexico-syntactic properties of phenotype terms – Application to interoperability between HPO and SNOMED CT. Proc Joint Bio-Ontologies and BioLINK ISMB'2015 SIG session "Phenotype Day" 2015:8-11.
  • 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
  • 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).
  • Kilicoglu H, Rogers W. A Hybrid System for Extracting Chemical-Disease Relationships from Scientific Literature. 2015. BioCreative 5 Proceedings.
  • Vajda S. Label the many with a few: Semi-automatic medical image modality discovery in a large image collection. IEEE Symposium Series on Computational Intelligence, Orlando, FL, Dec 9-12, 2014
  • 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.
  • Cimino JJ, Remennick L. Adapting a Clinical Data Repository to ICD-10-CM through the use of a Terminology Repository. AMIA Annu Symp Proc. 2014 Nov 14;2014:405-13. eCollection 2014.
  • 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.
  • Pan X, Cimino JJ. Locating relevant patient information in electronic health record data using representations of clinical concepts and database structures. AMIA Annu Symp Proc. 2014 Nov 14;2014:969-75. eCollection 2014.
  • Winnenburg R, Bodenreider O. Desiderata for an authoritative Representation of MeSH in RDF. AMIA Annu Symp Proc. 2014 Nov 14;2014:1218-27. eCollection 2014.
  • 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.

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