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  • Lin J, Demner-Fushman D. "Bag of words" is not enough for strength of evidence classification AMIA Annu Symp Proc. 2005:1031.
  • Yu Z, Nguyen T, Dhombres F, Johnson T, Bodenreider O. "Hybrid Topics" - Facilitating the Interpretation of Topics Through the Addition of MeSH Descriptors to Bags of Words. Stud Health Technol Inform. 2017;245:662-666.
  • 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.
  • 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.
  • Thomas SM, Overhage JM, Warvel J, McDonald CJ. A comparison of a printed patient summary document with its electronic equivalent: early results. Proc AMIA Symp. 2001:701-5.
  • Vreeman DJ, McDonald CJ. A comparison of Intelligent Mapper and document similarity scores for mapping local radiology terms to LOINC. AMIA Annu Symp Proc. 2006:809-13.
  • 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).
  • 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.
  • You D, Antani SK, Demner-Fushman D, Thoma GR. A Contour-based Shape Descriptor For Biomedical Image Classification and Retrieval. Proceedings of SPIE 2014, Vol. 9021, Document Recognition and Retrieval XXI. February 2014;9021.
  • 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.
  • Sharp M, Bodenreider O, Wacholder N. A Framework for Characterizing Drug Information Sources AMIA Annu Symp Proc. 2008 Nov 6:662-6
  • Bodenreider O, Burgun A. A framework for comparing phenotype annotations of orthologous genes. Stud Health Technol Inform. 2010;160(Pt 2):1309-13.
  • Nagy DA, Haidegger T, Yaniv Z. A framework for semi-automatic fiducial localization in volumetric images. In: Linte CA, Yaniv Z, Fallavollita P, Abolmaesumi P, Holmes DR III, editors. Augmented Environments for Computer-Assisted Interventions 2014: Proceedings of 9th International AE-CAI Workshop; 2014 Sep 14; Boston. Lecture Notes in Computer Science vol. 8678. Springer; 2014. p. 138-48.
  • Kim E, Huang X, Tan G, Long LR, Antani S. A Hierarchical SVG Image Abstraction Layer for Medical Imaging Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications. San Diego, California. March 2010;7628
  • Kilicoglu H, Rogers W. A Hybrid System for Extracting Chemical-Disease Relationships from Scientific Literature. 2015. BioCreative 5 Proceedings.
  • Bryant B, Sari-Sarraf H, Long LR, Antani SK. A Kernel Support Vector Machine Trained Using Approximate Global and Exhaustive Local Sampling. Proceedings of the 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) 2017, Austin, Texas, USA, December 2017. Pp. 267-8 DOI: https://doi.org/10.1145/3148055.3149206
  • 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.
  • Workman TE, Rosemblat G, Fiszman M, Rindflesch TC. A literature-based assessment of concept pairs as a measure of semantic relatedness. AMIA Annu Symp Proc. 2013 Nov 16;2013:1512-21. eCollection 2013.
  • Lu C, Humphrey SM, Browne AC. A method for verifying a vector-based text classification system AMIA Annu Symp Proc. 2008 Nov 6:1030.
  • 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.
  • You D, Antani SK, Demner-Fushman D, Thoma GR. A MRF Model for Biomedical Image Segmentation. CBMS 2014. May 2014.
  • Xu T, Xin C, Long LR, Antani SK, Xue Z, Kim E, Huang X. A New Image Data Set and Benchmark for Cervical Dysplasia Classification Evaluation. Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015, LNCS 9352, pp. 26–35, 2015. DOI: 10.1007/978-3-319-24888-2 4.
  • Yoo TS, Ackerman MJ. A New Research Program in Medical Image Processing. In: Westwood JD, Hoffman HM, Mogel GT, Robb RA, Stredney D, editors. Stud Health Technol Inform [Studies in Health Technology and Informatics] -- Proceedings of Medicine Meets Virtual Reality 2000;70:385-91. Amsterdam: IOS Press.
  • 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.
  • 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

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