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  • Yoo TS, Ackerman MJ. Open Source Software for Medical Image Processing and Visualization. Communications of the ACM. 2005 Feb;48(2):55-9. DOI:10.1145/1042091.1042120.
  • Yoo TS, editor. Insight Into Images: Principles and Practice for Segmentation, Registration, and Image Analysis. Natick, Massachusetts: A.K. Peters; 2004 Aug 16. 410 pages.
  • 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.
  • Yoo TS, Machiraju R, editors. From Transfer Functions to Level Sets: Advanced Topics in Volume Image Processing. Tutorial Notes for IEEE Visualization 2001; 2001 Oct 21-26; San Diego. 100 pages.
  • Yoo TS, Subramanian KR. Implicit Snakes: Active Constrained Implicit Models. In: Niessen WJ, Viergever MA, editors. Proceedings of the Fourth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI); 2001 Oct 14-17; Utrecht, The Netherlands. Lecture Notes in Computer Science 2208. Springer; 2001. p. 1379-81.
  • Yoo TS, Morris J, Chen DT, Burgess J, Richardson AC. Template Guided Intervention: Interactive Visualization and Design for Medical Fused Deposition Models. In: Niessen WJ, Viergever MA, editors. Proceedings of the Fourth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI); 2001 Oct 14-17; Utrecht, The Netherlands. Lecture Notes in Computer Science 2208. Springer; 2001. p. 45-8.
  • Yoo TS, Machiraju R, editors. Image Processing for Volume Graphics. Tutorial Notes for ACM SIGGRAPH 2001; 2001 Aug 12-17; Los Angeles. 333 pages.
  • Yoo TS, Morse B, Subramanian KR, Rheingans P, Ackerman MJ. Anatomical Modeling from Unstructured Samples Using Variational Implicit Surfaces. In: Westwood JD, Hoffman HM, Mogel GT, Stredney D, Robb RA, editors. Stud Health Technol Inform [Studies in Health Technology and Informatics] -- Proceedings of Medicine Meets Virtual Reality 2001;81:594-600. Amsterdam: IOS Press.
  • 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.
  • Yoo TS, Machiraju R, editors. Image Processing for Volume Graphics and Analysis. Tutorial Notes for IEEE Visualization 2000; 2000 Oct 8-13; Salt Lake City. 125 pages.
  • Yoo TS. Advances Toward Understanding of Multimodal Volume Data. Proceedings of High Care 2000: Innovations in Medicine; 2000 Feb 25-27; Ruhr University, Bochum, Germany.
  • 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.
  • You D, Antani SK, Demner-Fushman D, Thoma GR. A MRF Model for Biomedical Image Segmentation. CBMS 2014. May 2014.
  • You D, Antani SK, Demner-Fushman D, Thoma GR. Does Figure-Text Improve Biomedical Article Retrieval? A Pilot Study. CBMS 2014. May 2014.
  • 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.
  • You D, Antani SK, Demner-Fushman D, Thoma GR. Does figure-text improve biomedical image retrieval [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
  • You D, Rahman MM, Antani SK, Demner-Fushman D, Thoma GR. Text- and content-based biomedical image modality classification. Proc. SPIE Medical Imaging. Orlando, FL. February 2013;8674-21.
  • You D, Simpson M, Antani SK, Demner-Fushman D, Thoma GR. A robust pointer segmentation in biomedical images toward building a visual ontology for biomedical article retrieval. Proc. SPIE 8658, Document Recognition and Retrieval XX, 86580Q (February 4, 2013); doi:10.1117/12.2005934.
  • 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.
  • You D, Antani SK, Demner-Fushman D, Govindaraju V, Thoma GR. Detecting Figure-Panel Labels In Medical Journal Articles Using MRF. Proceedings of 11th International Conference on Document Analysis and Recognition (ICDAR 2011). Beijing, China. September 2011:967-971.
  • You D, Antani SK, Demner-Fushman D, Rahman MM, Govindaraju V, Thoma GR. Automatic identification of ROI in figure images toward improving hybrid (text and image) biomedical document retrieval. Proceedings of SPIE Electronic Imaging Science and Technology, Document Retrieval and Recognition XVIII. San Francisco, CA. January 2011;7874:78740K.
  • You D, Antani S, Demner-Fushman D, Rahman MM, Govindarju V, Thoma GR. Biomedical Article Retrieval Using Multimodal Features and Image Annotations In Region-based CBIR. Document Recognition and Retrieval XVII. Edited by Likforman-Sulem, Laurence; Agam, Gady. Proceedings of the SPIE. San Jose, CA. January 2010;7534:75340V-75340V-12.
  • You D, Apostolova E, Antani SK, Demner-Fushman D, Thoma GR. Figure content analysis for improved biomedical article retrieval. Proceedings of IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States, Document Recognition and Retrieval XVI; 72470V (2009), 1-10; doi: 10.1117/12.805976
  • Yu H, Yang F, Silamut R, Maude S, Jaeger S, Antani SK. Automatic Blood Smear Analysis with Artificial Intelligence and Smartphones. ASTMH 68th Annual Meeting, Washington DC, Nov. 20-24, 2019.
  • Zamora G, Sari-Sarraf H, Mitra S, Long R. Analysis of the Feasibility of Using Active Shape Models for Segmentation of Gray Scale Images Proc. of SPIE Medical Imaging: Image Processing. 2002 Feb;4684:1370-81.
  • Zamora G, Sari-Sarraf H, Mitra S, Long LR. Estimation of Orientation and Position of Cervical Vertebrae for Segmentation with Active Shape Models Proc. SPIE Medical Imaging: Image Processing. 2001 Feb;4322:378-87.
  • Zamora G, Sari-Sarraf H, Long LR. Hierarchical Segmentation of Vertebrae from X-ray Images Proc. of SPIE Medical Imaging: Image Processing. 2003 Feb; 5032.
  • Zarin D, Tse T, Sheehan J. The proposed rule for U.S. clinical trial registration and results submission. N Engl J Med. 2015 Jan 8;372(2):174-80. doi: 10.1056/NEJMsr1414226. Epub 2014 Dec 24.
  • Zarin D. Participant-level data and the new frontier in trial transparency [Letter]. N Engl J Med. 2013 Aug 1;369(5):468-9. doi: 10.1056/NEJMe1307268.
  • 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 D, Tse T. Clarification about ClinicalTrials.gov [Letter]. IRB. 2013 May-Jun;35(3):19.
  • Zarin D. Factual Errors about ClinicalTrials.gov and other federal mandates in special report by Shuster [Letter]. Clin Transl Sci. 2012 Apr;5(2):217; author reply 217. doi: 10.1111/j.1752-8062.2012.00410.x.
  • Zarin D, Tse T. The effect of funding source on outcome reporting among drug trials [Letter]. Ann Intern Med. 2011 Jan 18;154(2):137-8; author reply 138. doi: 10.7326/0003-4819-154-2-201101180-00020.
  • Zarin D, Tse T, Williams R. Frequency and nature of changes in primary outcome measures. Presented at: Sixth International Congress on Peer Review and Biomedical Publication; September 2009; Vancouver, BC, Canada.
  • 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.
  • Zarin DA, Tse T, Williams RJ, Califf RM, Ide NC. The ClinicalTrials.gov results database--update and key issues. N Engl J Med. 2011 Mar 3;364(9):852-60. doi: 10.1056/NEJMsa1012065.
  • Zarin DA, Califf R. Point Counterpoint: ClinicalTrials.gov: Bureaucratic Nuisance or Opportunity to Improve the Field? APOR 2010 Nov; 6 (2): 3-5
  • Zarin DA. Clinical trials registry expands. Interview by Bridget M. Kuehn. JAMA. 2009 Jul 1;302(1):22. doi: 10.1001/jama.2009.891.
  • 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 DA, Tse T. Moving Towards Transparency of Clinical Trials Science. 2008 Mar 7;319(5868):1340-2.
  • Zarin DA, Ide NC, Tse T, Harlan WR, West JC, Lindberg DA. Issues in the registration of clinical trials. JAMA. 2007 May 16;297(19):2112-20
  • Zarin DA, Keselman A. Registering a Clinical Trial in ClinicalTrials.gov Chest. 2007 Mar;131(3):909-12. Epub 2007 Feb 15
  • Zarin DA, Tse T, Ide NC. Trial Registration at ClinicalTrials.gov between May and October 2005 N Engl J Med. 2005 Dec 29;353(26):2779-87
  • Zeng Q, Kin E, Crowell J, Tse T. A Text Corpora-Based Estimation of the Familiarity of Health Terminology ISBMD, Aveiro, Portugal, 10-11 November 2005:184-92.
  • Zhan Zhang, Ackerman MJ, Jixing Li. A Prototype Colon Straightening System for Polyp Detection. Proceedings of 17th IEEE Symposium on Computer-Based Medical Systems (CBMS); 2004 Jun 24-25; Bethesda, Maryland:548-52. DOI: 10.1109/CBMS.2004.1311772.
  • Zhang Z. Methods to Visualize Interiors of Human Colons in Volumetric Datasets. In: Fieschi M, Coiera E, Li Y-CJ, editors. Stud Health Technol Inform [Studies in Health Technology and Informatics] – MEDINFO 2004: Proceedings of the 11th World Congress on Medical Informatics; 2004 Sep 7-11; San Francisco. p. 1931. IOS Press.
  • 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
  • Zhu Y, Huang X, Wang W, Lopresti D, Long LR, Antani SA, Xue Z, Thoma GR. Balancing the Role of Priors in Multi-Observer Segmentation Evaluation J Signal Process Syst. 2008 May 28;55(1-3):185-207
  • Zhu Y, Long LR, Antani S, Xue Z, Thoma GR. Web-based STAPLE for Quality Estimation of Multiple Image Segmentations Poster at 20th NIH Research Festival (IMAG-12), September 2007, National Institutes of Health
  • Zohora FT, Antani SK, Santosh KC. Circle-like foreign element detection in chest x-rays using normalized cross-correlation and unsupervised clustering. Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 105741V (2 March 2018); doi: 10.1117/12.2293739; doi.org/10.1117/12.2293739.

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