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  • Borovikov E, Vajda S, Lingappa G, Candemir S, Antani SK, Gill MJ, Thoma GR. FaceMatch: visual search of missing persons during a disaster event [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
  • 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.
  • Borovikov E. FaceMatch: visual search for pictures of missing persons during a disaster event. NIH Research Festival. October 2012.
  • 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.
  • 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 W, Pearson G. Algorithm Developed To Make More Reliable Links To Better Photographic Views of Nursing Homes For Prototype "Nursing Home Screener" Web Site. Poster Section III at NIH Research Festival (TECH-3). National Institutes of Health October 2008. Bethesda, MD. October 2008.
  • 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
  • Demner-Fushman D, Hauser SE, Humphrey SM, Ford GM, Jacobs JL, Thoma GR. MEDLINE as a Source of Just-in-Time Answers to Clinical Questions. AMIA Annu Symp Proc. 2006:190-4.
  • Hauser SE, Demner-Fushman D, Ford GM, Jacobs JL, Thoma GR. Preliminary Comparison of Three Search Engines for Point of Care Access to MEDLINE Citations AMIA Annu Symp Proc. 2006:945
  • Hauser SE, Le DX, Thoma GR. Automated Zone Correction in Bitmapped Document Images SPIE: Document Recognition and Retrieval VII. 2000 Jan;3976: 248-58.
  • 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. 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, 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.

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