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  • You D, Simpson M, Antani SK, Demner-Fushman D, Thoma GR. Annotating image ROIs with text descriptions for multimodal biomedical document retrieval. Proc. SPIE 8658, Document Recognition and Retrieval XX, 86580Q (February 4, 2013); doi:10.1117/12.2005934; http://dx.doi.org/10.1117/12.2005934.
  • Roberts K, Demner-Fushman D. Annotating Logical Forms for EHR Questions. Proceedings of the Language Resources and Evaluation Conference, LREC,23-28 May 2016, Portorož.
  • 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.
  • Roberts K, Masterton K, Kilicoglu H, Fiszman M, Demner-Fushman D. Annotating Question Decomposition on Complex Medical Questions. LREC 2014.
  • Roberts K, Masterton K, Fiszman M, Kilicoglu H, Demner-Fushman D. Annotating Question Types for Consumer Health Questions. LREC 2014, BioTxtM workshop.
  • 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
  • Demner-Fushman D, Lin J. Answer Extraction, Semantic Clustering, and Extractive Summarization for Clinical Question Answering Proc COLING/ACL 2006. July 2006, Sydney, Australia
  • 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.
  • Guan Y, Li M, Jaeger S, Lure F, Raptopoulos V, Lu P, Folio LR, Candemir S, Antani SK, Siegelman J, Li J, Wu T, Thoma GR, Qu S. Applying Artificial Intelligence and Radiomics for Computer Aided Diagnosis and Risk Assessment in Chest Radiographs. 2nd Conference on Machine Intelligence in Medical Imaging (CMIMI) of the Society for Imaging Informatics in Medicine (SIIM), Poster, 2017.
  • Misra D, Mao S, Rees J, Thoma GR. Archiving a Historic Medico-legal Collection: Automation and Workflow Customization Proc IS&T Archiving 2007. Arlington, Virginia, May 2007; 157-61
  • 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.
  • Demner-Fushman D, Elhadad N. Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing. IMIA Yearbook of Medical Informatics 2016.
  • Rajaraman S, Sornapudi S, Kohli M, Antani SK. Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany, 23 – 27 July 2019. pp. 3689 – 3692.
  • 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.
  • Wang Y, Wei D, Xu J, Elhanan G, Perl Y, Halper M, Chen Y, Spackman KA, Hripcsak G. Auditing complex concepts in overlapping subsets of SNOMED. AMIA Annu Symp Proc. November 2008:273-7.
  • 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. 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 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, 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 J, Le DX, Thoma GR. Automated Labeling Of Biomedical Online Journal Articles 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. 406-11
  • Thoma GR, Mao S, Misra D. Automated Metadata Extraction to Preserve the Digital Contents of Biomedical Collections Proc VIIP 2005. September 2005. Benidorm, Spain; 214-19
  • Hauser SE, Le DX, Thoma GR. Automated Zone Correction in Bitmapped Document Images SPIE: Document Recognition and Retrieval VII. 2000 Jan;3976: 248-58.
  • 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
  • Rodriguez LM, Fushman DD. Automatic Classification of Structured Product Labels for Pregnancy Risk Drug Categories, a Machine Learning Approach. AMIA Annu Symp Proc. 2015 Nov 5;2015:1093-102. eCollection 2015.

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