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  • Gallagher ME, Moffatt C. The Profiles in Science Digital Library: Behind the Scenes. Proc ACM/IEEE Joint Conf Digit Libr. 2012: 433–434. doi: 10.1145/2232817.2232928.
  • Antani SK, You D, Simpson M, Rahman M, Demner-Fushman D, Thoma GR. The role of image modality and visual characteristics in archiving biomedical images. Proc of IS&T Archiving Conference. Volume 2013, Number 1, 2013, pp. 31-35.
  • Ackerman MJ, Yoo T, Jenkins D. The Visible Human Project: From Data to Knowledge. In: Lemke HU, Vannier MW, Inamura K, Farman AG, Doi K, editors. Proceedings of the 14th International Congress and Exhibition of Computer Assisted Radiology and Surgery (CARS2000); 2000 Jun 28-Jul 1; San Francisco. Amsterdam: Elsevier; 2000 Jun 1. p. 11-6.
  • Huang X, Wang W, Xue Z, Antani SK, Long LR, Jeronimo J. Tissue Classification using Cluster Features for Lesion Detection in Digital Cervigrams Proc. SPIE Medical Imaging 2008. April 2008;6914:69141Z-1-8
  • Yoo TS, Ackerman MJ, Vannier M. Toward a Common Validation Methodology for Segmentation and Registration Algorithms. In: Delp SL, DiGioia AM, Jaramaz B, editors. Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI); 2000 Oct 11-14; Pittsburgh. Lecture Notes in Computer Science 1935. Berlin: Springer-Verlag; 2000. p. 422-31.
  • Fletcher A, Yoo TS. Toward Public Volume Database Management: A Case Study of NOVA: The National Online Volumetric Archive. In: Ratib OM, Huang HK, editors. Proceedings of SPIE Medical Imaging 2004: PACS [Picture Archiving and Communication Systems] and Imaging Informatics; 2004 Feb 16-21; San Diego;5371:10 pages. SPIE; 2004 Apr 19. DOI: 10.1117/12.535376.
  • Yoo TS, Hamilton T, Hurt D, Caban J, Liao D, Chen D. Toward Quantitative X-Ray CT Phantoms of Metastatic Tumors Using Rapid Prototyping Technology. In: Pan X, Liebling M, editors. Proceedings of ISBI 2011: IEEE Computer Society International Symposium on Biomedical Imaging: From Nano to Macro; 2011 Mar 30-Apr 2; Chicago. p. 1770-3. DOI: 10.1109/ISBI.2011.5872749.
  • Yoo TS. Toward Validation Databases for Medical Imaging: Engineering a Scientific Rendezvous. In: Proceedings of International Symposium on Information Retrieval and Exploration in Large Medical Image Collections (VISIM 2001); 2001 Oct 14-17; Utrecht, The Netherlands. p. 7-10.
  • Simpson MS, You D, Rahman MM, Antani SK, Thoma GR, Demner-Fushman D. Towards the creation of a visual ontology of biomedical imaging entities. AMIA Annu Symp Proc. 2012;2012:866-75. Epub 2012 Nov 3.
  • Zarin DA, Tse T. Tracking health services research studies [Letter]. JAMA. 2008 Nov 19;300(19):2252; author reply 2252. doi: 10.1001/jama.2008.612.
  • Zarin D, Tse T. Trust but verify: trial registration and determining fidelity to the protocol [Letter]. Ann Intern Med. 2013 Jul 2;159(1):65-7. doi: 10.7326/0003-4819-159-1-201307020-00011.
  • Zarin DA, Tse T. Unambiguous identification of obesity trials [Letter]. N Engl J Med. 2013 Feb 7;368(6):580-1. doi: 10.1056/NEJMc1215018.
  • Mrabet Y, Kilicoglu H, Demner-Fushman D. Unsupervised Ranking of Knowledge Bases for Named Entity Recognition. ECAI 2016, The Hague, The Netherlands, 1248-1255.
  • McCray AT, Dorfman E, Ripple A, Ide NC, Jha M, Katz DG, Loane RF, Tse T. Usability Issues in Developing a Web-Based Consumer Health Site Proc AMIA Symp. 2000:556-60.
  • Long LR, Thoma GR. Use of Shape Models to Search Digitized Spine X-Rays IEEE Computer-Based Medical Systems. 2000 June;: 255-60.
  • Xue Z, Antani SK, Long LR, Thoma GR. Using deep learning for detecting gender in adult chest radiographs. Proc SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 105790D (6 March 2018) pp. doi: 10.1117/12.2293027.
  • Xue Z, Antani SK, Long LR, Thoma GR. Using deep learning for detecting gender in adult chest radiographs. SPIE Medical Imaging 2018
  • Fontelo P, DiNino E, Johansen K, Khan A, Ackerman MJ. Virtual Microscopy: Potential Applications in Medical Education and Telemedicine in Countries with Developing Economies. Proceedings of the 38th Hawaii International Conference on System Sciences; 2005 Jan 3-6; Big Island, Hawaii: 7 pages. IEEE Computer Society.
  • Ratiu P, Hillen B, Glaser J, Jenkins DB. Visible Human 2.0 - The Next Generation. In: Westwood JD, Hoffman HM, Mogel GT, Phillips R, Robb RA, Stredney D, editors. Stud Health Technol Inform [Studies in Health Technology and Informatics] -- Proceedings of the 11th annual Medicine Meets Virtual Reality conference; 2003 Jan;94:275-81. Amsterdam: IOS Press.
  • Rajaraman S, Antani SK, Xue Z, Candemir S, Jaeger S, Thoma GR. Visualizing abnormalities in chest radiographs through salient network activations in Deep Learning. Proc. IEEE Life Sciences Conference (LSC), Sydney, Australia, 2017. pp. 71-74, DOI:10.1109/LSC.2017.8268146.
  • Rajaraman S, Candemir S, Thoma G, Antani SK. Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs. Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, 109500S (13 March 2019); doi: 10.1117/12.2512752.
  • Rajaraman S, Antani SK, Jaeger S. Visualizing Deep Learning Activations for Improved Malaria Cell Classification. Proceedings of The First Workshop in Medical Informatics and Healthcare (MIH 2017), Proceedings of Machine Learning Research (PMLR), v. 69, p. 40-47.
  • Ben Abacha A, Hasan SA, Datls W, Liu J, Demner-Fushman D, Muller H. VQA-Med: Overview of the medical visual question answering task at imageclef 2019. CEUR Workshop Proceedings, 9-12, 2019.
  • Xue Z, Antani S, Long LR, Thoma GR. Web-accessible Cervigram Automatic Segmentation Tool SPIE Medical Imaging Conference. March 2010;7628
  • Zhu Y, Huang X, Lopresti D, Long R et al. Web-based Multi-observer Segmentation Evaluation Tool Proc. 21st IEEE CBMS. Jyvaskyla, Finland. June 2008:167-9

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