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  • 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.
  • 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.
  • 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
  • Mao S, Kanungo T. Empirical Performance Evaluation of Page Segmentation Algorithms SPIE conference on Document Recognition and Retrieval. 2000 Jan.;:303-314.
  • 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.
  • Huang X, Lin J, Demner-Fushman D. Evaluation of PICO as a knowledge representation for clinical questions AMIA Annu Symp Proc. 2006:359-63.
  • Zou J, Le DX, Thoma GR. Extracting a Sparsely-Located Named Entity from Online HTML Medical Articles Using Support Vector Machine Proc SPIE-IS/T Electronic Imaging. San Jose, CA. January 2008;6815:6815OP(1-10)
  • Borovikov E, Vajda S, Lingappa G, Antani SK, Thoma GR. Face matching for post-disaster family reunification. IEEE International Conference on Healthcare Informatics. Philadelphia, PA, USA. September 2013.
  • 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.
  • Zweigenbaum P, Demner-Fushman D, Yu H, Cohen KB. Frontiers of biomedical text mining: current progress Brief Bioinform. 2007 Sep;8(5):358-75. Epub 2007 Oct 30.
  • 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
  • Sabir TF, Hauser SE, Thoma GR. Historical Author Affiliations Assist Verification of Automatically Generated MEDLINE Citations AMIA Annu Symp Proc. 2006:1082
  • 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, 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 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 J, Le DX, Thoma GR. Inferring Grant Support Types From Online Biomedical Articles 22nd IEEE ISCBMS. Albuquerque, NM. August 2009
  • Thoma GR, Ford G, Chung M, Vasudevan K, Antani S. Interactive Publications: Creation and Usage Proc IS and T/SPIE Electronic Imaging 2006: Digital Publishing. San Jose, CA. Jan 15-19, 2006.
  • 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.
  • Zhang X, Zou J, Le DX, Thoma GR. Investigator Name Recognition From Medical Journal Articles: A Comparative Study of SVM and Structural SVM International Workshop on Document Analysis Systems. June 2010:121-8
  • 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.
  • Zou J, Antani SK, Thoma GR. Localizing and Recognizing Labels for Multi-Panel Figures in Biomedical Journals. Proceedings of International Conference on Document Analysis and Recognition, November 13, 2017
  • Roberts K, Shooshan SE, Rodriguez L, Abhyankar S, Kilicoglu H, Demner-Fushman D. Machine Learning Methods for Detecting Risk Factors for Heart Disease in EHRs. Proc i2b2 2014 Workshop
  • 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.
  • 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

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