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  • Felts RL, Bennett A, Shi D, Freed E, Lifson J, Lowekamp B, Yoo TS, Bliss D, Subramaniam S. 3D Imaging of HIV transmission and entry using electron tomography and ion-abrasion scanning electron microscopy. Three Dimensional Electron Microscopy: Technical Advances and Recent Breakthroughs in 3DEM. Gordon Research Conference; 2008 Jun 15-20; Lucca (Barga), Italy.
  • Heymann JAW, Shi D, Kim S, Bliss D, Milne JLS, Subramaniam S. 3D imaging of mammalian cells with ion-abrasion scanning electron microscopy. J Struct Biol. 2009 Apr;166(1):1-7. doi: 10.1016/j.jsb.2008.11.005. Epub 2008 Dec 10.
  • Yoo TS, Ackerman MJ, Chen D, Lowekamp B, Kuybeda O, Santoroski J. 3D Informatics April 2014 Technical Report to the LHNCBC Board of Scientific Counselors.
  • Ackerman MJ, Yoo TS. 3D Informatics: High Performance Computing at the Lister Hill Center. Technical Report to the LHNCBC Board of Scientific Counselors; 2007 Sep. 29 pages.
  • Yoo TS. 3D Informatics: Research Program in High Performance Computing. Technical Report to the LHNCBC Board of Scientific Counselors; 2003 May. 42 pages.
  • Yoo TS. 3D Medical Informatics: Information Science in Multiple Dimensions. In: Chen H, Fuller SS, Friedman C, Hersh W, editors. Medical Informatics: Knowledge Management and Data Mining in Biomedicine. New York: Springer Science. p. 333-58.
  • 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.
  • Antani S, Long LR, Thoma GR. A Biomedical Information System for Combined Content-Based Retrieval of Spine X-ray Images and Associated Text Information 3rd Indian Conference on Computer Vision, Graphics, and Image Processing. 2002 Dec.
  • Xue Z, Bryant B, Long LR, Sari-Sarraf H, Thoma GR, Wachtel M. A Client-Server Tool for Automatic Fast GPU-based Detection of Squamous Epithelium Tissue Regions in Histology Images. RSNA 2014. Chicago, USA, Nov 30-Dec 5, 2014
  • Kuybeda O, Frank GA, Bartesaghi A, Borgnia M, Subramaniam S, Sapiro G. A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography. J Struct Biol. 2013 Feb;181(2):116-27. doi: 10.1016/j.jsb.2012.10.010. Epub 2012 Oct 27.
  • Karargyris A, Candemir S, Jaeger S, Xue Z, Antani SK, Thoma GR. A Combined Approach for Lung Boundary Segmentation of Chest X-Ray Images. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
  • 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.
  • Demner-Fushman D, Antani S, Kalpathy-Cramer J, Müller H. A decade of community-wide efforts in advancing medical image understanding and retrieval. Comput Med Imaging Graph. 2015 Jan;39:1-2. doi: 10.1016/j.compmedimag.2014.12.002.
  • Lowekamp B, Chen D. A Framework for Improved Regression Testing Based Upon CTest and CDash. The Insight Journal. Web. 2009 Jul-Dec.
  • 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
  • Rahman MM, Antani SK, Thoma GR. A learning-based similarity fusion and filtering approach for biomedical image retrieval using SVM classification and relevance feedback. IEEE Trans Inf Technol Biomed. 2011 Jul;15(4):640-6. doi: 10.1109/TITB.2011.2151258. Epub 2011 Jun 16.
  • Krainak DM, Long LR, Thoma GR. A Method of Content-Based Retrieval for a Spinal X-Ray Image Database Proc. of SPIE Medical Imaging: PACS and Integrated Medical Systems. 2002 Feb;4685.
  • 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.
  • 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
  • Liu J, Subramanian K, Yoo TS. A Phantom Design for Validating Colonoscopy Tracking. In: van Ginneken B, Novak CL, editors. Proceedings of SPIE Medical Imaging 2012: Computer-Aided Diagnosis;8315. 2012 Feb 4; San Diego. DOI: 10.1117/12.912395.
  • Tulpule B, Hernes DL, Srinivasan Y, Mitra S, Sriraja Y, Nutter BS, Phillips B, Long RL, Ferris DG. A Probabilistic Approach to Segmentation and Classification of Neoplasia in Uterine Cervix Images Using Color and Geometric Features SPIE Medical Imaging, February 2005; San Diego, CA; vol. 5748:995-1003

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