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  • Xue Z, Candemir S, Antani SK, Long LR, Jaeger S, Demner-Fushman D, Thoma GR. Foreign Object Detection in Chest X-rays. Proc IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2015, International Workshop on Biomedical and Health Informatics, Bethesda, Maryland, Nov. 9-12, 2015, pp: 56-61.
  • Xue Z, You D, Candemir S, Jaeger S, Antani SK, Long LR, Thoma GR. Chest X-ray Image View Classification The 28th IEEE International Symposium on Computer-Based Medical Systems
  • Xue Z, You D, Chachra S, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Extraction of endoscopic images for biomedical figure classification. Proc. SPIE. 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 94180P. (March 17, 2015) doi: 10.1117/12.2081033.
  • Xue Z, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Body Segment Classification for Visible Human Cross Section Slices. IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS), New York, NY, May 2014: pp. 199-204
  • Xue Z, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Window classification of brain CT images in biomedical articles. AMIA Annu Symp Proc. 2012;2012:1023-9. Epub 2012 Nov 3.
  • Xue Z, Long LR, Antani SK, Thoma GR. Spine x-ray image retrieval using partial vertebral boundaries. 24th International Symposium on Computer-Based Medical Systems. Bristol, UK. June 2011.
  • Xue Z, Long LR, Antani SK, Neve L, Zhu Y, Thoma GR. A unified set of analysis tools for uterine cervix image segmentation. Comput Med Imaging Graph. 2010 Dec;34(8):593-604. doi: 10.1016/j.compmedimag.2010.04.002. Epub 2010 May 26.
  • Xue Z, Antani SK, Long LR, Thoma GR. An online segmentation tool for cervicographic image analysis. ACM International Health Informatics Symposium, IHI 2010, Arlington, VA, USA, November 11 - 12, 2010, Proceedings; 01/2010.
  • Xue Z, Long LR, Antani SK, Thoma GR. Automatic Extraction of Mosaic Patterns In Uterine Cervix Images 23rd IEEE International Symposium on Computer-Based Medical Systems (CBMS) 2010. Perth, Australia. October 2010:273-8.
  • Xue Z, Antani S, Long LR, Thoma GR. Web-accessible Cervigram Automatic Segmentation Tool SPIE Medical Imaging Conference. March 2010;7628
  • Xue Z, Long LR, Antani SK, Jeronimo J, Thoma GR. Image-retrieval System Aids Cervical Cancer Studies SPIE Newsroom. April 2009
  • Xue Z, Long LR, Antani SK, Jeronimo J, Thoma GR. Segmentation of Mosaicism in Cervicographic Images Using Support Vector Machines Proc. SPIE 7259, Medical Imaging 2009, Lake Buena Vista, Florida, United States: Image Processing, 72594X (27 March 2009); doi: 10.1117/12.812318; http://dx.doi.org/10.1117/12.812318.
  • Xue Z, Long R, Antani SK, Thoma GR. A Web-accessible Content-based Cervicographic Image Retrieval System Proc SPIE Medical Imaging 2008. April 2008;6919:691907-1-9
  • Xue Z, Antani SK, Long LR, Thoma GR. Comparative Performance Analysis of Cervix ROI Extraction and Specular Reflection Removal Algorithms for Uterine Cervix Image Analysis Proc SPIE Medical Imaging 2007. Vol. 6512: 65124I-1-9
  • Xue Z, Antani S, Long LR, Jeronimo J, Thoma GR. Investigating CBIR Techniques for Cervicographic Images AMIA Annu Symp Proc. 2007 Oct 11:826-30.
  • Yang F, Quizon N, Silamut K, Maude RJ, Jaeger S, Antani SK. Cascading YOLO: Automated Malaria Parasite Detection for Plasmodium Vivax in Thin Blood Smears. To be presented at SPIE Medical Imaging, Feb.18-20, 2020, Houston, USA.
  • Yang F, Yu H, Silamut K, Maude RJ, Jaeger S, Antani SK. Parasite Detection in Thick Blood Smears Based on Customized Faster-RCNN. Proceedings of AIPR2019, Washington DC, USA, Oct 15-17, 2019.
  • Yang F, Yu H, Silamut K, Maude R, Jaeger S, Antani SK. Smartphone-Supported Malaria Diagnosis Based on Deep Learning. Proceedings of 10th Workshop on Machine Learning in Medical Imaging (MLMI 2019) in conjunction with MICCAI, Shenzhen, China, Oct 13-17, 2019.
  • Yang F, Yu H, Poostchi M, Silamut K, Maude RJ, Jaeger S. Smartphone-Supported Automated Malaria Parasite Detection. SIIM conference on Machine Intelligence in Medical Imaging, 2018.
  • Yaniv Z, Lowekamp B, Johnson HJ, Beare R. SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research. J Digit Imaging. 2018 Jun;31(3):290-303. doi: 10.1007/s10278-017-0037-8.
  • Yao J, Antani S, Long LR, Thoma GR, Zhang Z. Automatic Medical Image Annotation and Retrieval Using SECC Proc CBMS 2006, June 2006, Salt Lake City, Utah; 105-10
  • Yoo T, Ackerman MJ, Lorensen W, Schroeder W, Chalana V, Aylward S, Metaxas D, Whitaker R. Engineering and Algorithm Design for an Image Processing API: A Technical Report on ITK - The Insight Toolkit. In: Westwood JD, Hoffman HM, Robb RA, Stredney D, editors. Stud Health Technol Inform [Studies in Health Technology and Informatics] -- Proceedings of the 10th annual Medicine Meets Virtual Reality conference – Digital Upgrades: Applying Moore’s Law to Health; 2002 Jan 23-26; Newport Beach, California;85:586-92. Amsterdam: IOS Press.
  • Yoo TS, Bliss D, Lowekamp B, Chen D, Murphy GE, Narayan K, Hartnell LM, Do T, Subramaniam S. Visualizing cells and humans in 3D: Biomedical image analysis at nanometer and meter scales. IEEE Computer Graphics and Applications. 2012 Sep-Oct;32(5):39-49. DOI: 10.1109/MCG.2012.68.
  • 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, Metaxas DN. Open science – combining open data and open source software: Medical image analysis with the Insight Toolkit. Med Image Anal. 2005 Dec;9(6):503-6. Epub 2005 Sep 19.
  • 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. 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, 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, 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. 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. 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, 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, 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
  • 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 K, Liu WL, Locatis CN, Ackerman MJ. Mobile Videoconferencing Apps for Telemedicine. Telemed J E Health. 2016 Jan;22(1):56-62. doi: 10.1089/tmj.2015.0027. Epub 2015 Jul 23.
  • Zhang K, Liu WL, Locatis C, Ackerman M. Uncompressed high-definition videoconferencing tools for telemedicine and distance learning. Telemed J E Health. 2013 Aug;19(8):579-84. doi: 10.1089/tmj.2012.0219. Epub 2013 Jun 29.
  • 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
  • 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.
  • Zou J, Antani SK, Thoma G. Unified Deep Neural Network for Segmentation and Labeling of Multi-Panel Biomedical Figures Journal of the Association for Information Science and Technology (JASIST), 2019
  • Zou J. Unified Deep Neural Network for Segmentation and Labeling of Multi-Panel Biomedical Figures Journal of the Association for Information Science and Technology (JASIST), 2019

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