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  • Moallem G, Sari-Sarraf H, Poostchi Mohammadabadi M, Maude R, Silamut K, Antani SK, Jaeger S. Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears. SPIE Medical Imaging, 2018.
  • 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.
  • Ackerman MJ. Anatomy in the Digital Age. In: Rifkin BA, Ackerman MJ. Human Anatomy: From the Renaissance to the Digital Age. 2006 May 2. New York: Abrams. p. 318-329.
  • Ackerman MJ. Visible Human Project. McGraw-Hill 2004 Yearbook of Science & Technology. New York: McGraw-Hill. 2004. p. 369-72.
  • Ackerman MJ. Visible Human Project: From Data to Knowledge. In: Haux R, Kulikowski C, editors. Yearbook of Medical Informatics 2002: Medical Imaging Informatics. International Medical Informatics Association (IMIA). p. 115-7.
  • Ackerman MJ, Yoo T, Jenkins D. From Data to Knowledge - The Visible Human Project Continues. In: Patel VL, Rogers R, Haux R, editors. Stud Health Technol Inform [Studies in Health Technology and Informatics] – MEDINFO 2001: Proceedings of the 10th World Congress on Medical Informatics (2001 Sep 2-5; London);84(Part II):887-90. Amsterdam: IOS Press.
  • Ackerman MJ, Banvard RA, guest editors. Computerized Medical Imaging and Graphics;24(3). Elsevier; 2000.
  • 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.
  • Ackerman MJ. Dataset: Visible Human Project reference data sets.
  • Almubarak H, Guo P, Stanley RJ, Long LR, Antani SK, Thoma GR. Algorithm Enhancements for Improvement of Localized Classification of Uterine Cervical Cancer Digital Histology Images. in Handbook of Research on Emerging Perspectives on Healthcare Information Systems and Informatics,. IGI Global (Hershey, PA).
  • Almubarak HA, Stanley RJ, Long LR, Antani SK, Thoma GR, Zuna R, Frazier SR. Convolutional Neural Network Based Localized Classification of Uterine Cervical Cancer Digital Histology Images. Procedia Computer Science, Volume 114, 2017, Pages 281-287, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2017.09.044.
  • Antani S, Xue Z, Long LR, Bennett D, Ward S, Thoma GR. Is there a need for biomedical CBIR systems in clinical practice? Outcomes from a usability study. Proceedings of SPIE Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications. Orlando, FL. February 2011;7967:796708.
  • Antani S, Long LR, Thoma GR. Bridging the Gap: Enabling CBIR in Medical Applications Proc IEEE CBMS. Jyvaskyla, Finland. June 2008:4-6
  • Antani S, Cheng J, Long J, Long LR, Thoma GR. Medical Validation and CBIR of Spine X-ray Images over the Internet Proc IS and T/SPIE Electronic Imaging Science and Technology 2006: Internet Imaging VII. San Jose. CA Jan 15-19, 2006, SPIE Vol. 6061 pp. 60610J (1-9).
  • Antani S, Crandall D, Kasturi R. Robust Extraction of Text in Video International Conference of Pattern Recognition. 2000 Sept.;1:1445-9.
  • Antani SK. Automated Detection of Lung Diseases in Chest X-Rays April 2015 Technical Report to the LHNCBC Board of Scientific Counselors
  • Antani SK. Tuberculosis Chest X-ray Image Data Sets
  • Antani SK, Demner-Fushman D, Li J, Srinivasan BV, Thoma GR. Exploring Use of Images in Clinical Articles for Decision Support in Evidence-Based Medicine Proc. SPIE-IS/T Electronic Imaging. San Jose, CA. January 2008;6815:68150Q(1-10)
  • Antani SK, Deserno TM, Long LR, Guld MO, Neve L, Thoma GR. Interfacing Global and Local CBIR Systems for Medical Image Retrieval Proc Workshop on Medical Imaging Research (Bildverarbeitung fur die Medizin). March 2007; 166-71.
  • Antani SK, Natarajan M, Long JL, Long RL, Thoma GR. Developing a Comprehensive System for Content-based Image Retrieval of Image and Text from a National Survey SPIE Medical Imaging, February 2005; San Diego, CA; vol. 5748:152-161.
  • Ben Abacha A, Gayen S, Lau JJ, Rajaraman S, Demner-Fushman D. NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain. CLEF2018 Working Notes. CEUR Workshop Proceedings, Avignon, France, CEUR-WS.org (September 10-14 2018).
  • Ben Abacha A, de Herrera A, Wang Ke, Long LR, Antani SK, Demner-Fushman D. Named entity recognition in functional neuroimaging literature. 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, 2017, pp. 2218-2220.
  • Benjamin A. Rifkin, Ackerman MJ. Human Anatomy (From the Renaissance to the Digital Age). New York: Harry N. Abrams; 2006. 344 pages.
  • Borovikov E, Vajda S. FaceMatch: real-world face image retrieval. In: Santosh K., Hangarge M., Bevilacqua V., Negi A. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2016. Communications in Computer and Information Science, vol 709. Springer, Singapore. 405-419.
  • Borovikov E, Vajda S, Lingappa G, Bonifant MC. Parallel Computing in Face Image Retrieval: Practical Approach to the Real-World Image Search. Multi-Core Computer Vision and Image Processing for Intelligent Applications. IGI Global, 2017. 155-189. Web. 12 Sep. 2016. doi:10.4018/978-1-5225-0889-2.ch006
  • Bryant B, Sari-Sarraf H, Long LR, Antani SK. A Kernel Support Vector Machine Trained Using Approximate Global and Exhaustive Local Sampling. Proceedings of the 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) 2017, Austin, Texas, USA, December 2017. Pp. 267-8 DOI: https://doi.org/10.1145/3148055.3149206
  • Caban JJ, Rosebrock A, Yoo TS. Automatic identification of prescription drugs using shape distribution models. In: 19th IEEE International Conference on Image Processing (ICIP); 2012 Sep 30-Oct 3; Lake Buena Vista, Florida. p. 1005-8. DOI: 10.1109/ICIP.2012.6467032
  • Caban JJ, Yao J, Mollura DJ, Liao D, Yoo TS. Enhancing image analytic tools by fusing quantitative physiological values with image features. In: SIIM [Society for Imaging Informatics in Medicine] 2011 Scientific Abstract Book. SIIM Annual Meeting Learning Track 1 Scientific Sessions: Advanced Visualization: Making Advanced Visualization Tools Work for You; 2011 Jun 2-5; Washington DC/National Harbor, Maryland.
  • Caban JJ, Liao D, Yao J, Mollura DJ, Gochuico B, Yoo TS. Enhancing image classification models with multimodal biomarkers. In: Summers RM, van Ginneken B, editors. Proceedings of SPIE Medical Imaging 2011: Computer-Aided Diagnosis; 2011 Feb 12-17; Lake Buena Vista (Orlando area), Florida;7963:9 pages. DOI: 10.1117/12.878084.
  • Caban JJ, Rheingans P, Yoo TS. An MRF-based Statistical Deformation Model for Morphological Image Analysis. IEEE Computer Society Workshop on Mathematical Models in Biomedical Image Analysis (MMBIA); 2010 Jun 14; San Francisco:31-8.
  • Candemir S, Rajaraman S, Thoma GR, Antani SK. Deep Learning for Grading Cardiomegaly Severity in Chest X-rays: An Investigation. Proc. IEEE Life Sciences Conference (LSC 2018), Montreal, Quebec, Canada, 28 – 30 October 2018. pp. 109-113.
  • Candemir S, Antani SK, Xue Z, Thoma GR. Novel Method for Storyboarding Biomedical Videos for Medical Informatics. 30th IEEE International Symposium on Computer-Based Medical Systems
  • Candemir S, Jaeger S, Lin W, Xue Z, Antani SK, Thoma GR. Automatic heart localization and radiographic index computation in chest x-rays. Proc. SPIE. 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 978517. DOI: 10.1117/12.2217209.
  • Candemir S, Antani SK, Jaeger SR, Thoma GR. Lung boundary detection in pediatric chest x-rays. Proc. SPIE. 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 94180Q. (March 17, 2015) doi: 10.1117/12.2081060.
  • Candemir S, Jaeger S, Palaniappan K, Antani SK, Thoma GR. Graph Cut Based Automatic Lung Boundary Detection in Chest Radiographs. 1st Annual IEEE Healthcare Innovation Conference of the IEEE EMBS Houston, Texas USA, 7 - 9 November, 2012.
  • Chang Y, Antani S, Lee DJ, Gledhill K, Long LR, Christensen P. CBIR of Spine X-ray Images on Inter-vertebral Disc Space and Shape Profiles Proc IEEE CBMS. Jyvaskyla, Finland. June 2008:224-9.
  • Chen D, Morse BS, Lowekamp B, Yoo TS. Hierarchically partitioned implicit surfaces for interpolating large point set models. In: Kim M-S, Shimada K, editors. Advances in Geometric Modeling and Processing. Proceedings of the 4th international conference on Geometric Modeling and Processing (GMP'06); 2006 Jul 26-28; Pittsburgh, Pennsylvania. Lecture Notes in Computer Science 4077. Berlin: Springer-Verlag; 2006. p. 553-62.
  • Chen D, Kakadiaris IA, Miller MJ, Loftin RB, Patrick C. Modeling for Plastic and Reconstructive Breast Surgery. 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. Springer; 2000. p. 1040-50. DOI: 10.1007/978-3-540-40899-4_108.
  • 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
  • De Herrera A, Long LR, Antani SK. Content-Based fMRI Brain Maps Retrieval. International Conference on Brain and Health Informatics, Omaha, NE, USA, October 13-16, 2016.
  • de Herrera G, Long LR, Antani SK. Graph Representation for Content–based fMRI Activation Map Retrieval. Proceedings of 1st Life Sciences Conference, Sydney, Australia, December 2017 pp. 129-32 DOI: https://doi.org/10.1109/LSC.2017.8268160.
  • Demner-Fushman D, Antani SK, Simpson M, Thoma GR. Combining Medical Domain Ontological Knowledge and Low-level Image Features for Multimedia Indexing Procf OntoImage 2008, part of LREC 2008. Marrakech, Morrocco. May 2008:CDROM Proceedings
  • Demner-Fushman D, Antani S, Thoma GR. Automatically Finding Images for Clinical Decision Support Proc of IEEE DM-Med 2007. Omaha, NE, October 2007, pp. 139-144
  • Deserno TM, Antani SK, Long LR. Exploring Access to Scientific Literature Using Content-Based Image Retrieval Proc SPIE Medical Imaging 2007. Vol. 6516: 65160L-1-8.
  • Deserno TM, Antani SK, Long LR. Gaps in Content-Based Image Retrieval Proc SPIE Medical Imaging 2007. Vol. 6516: 65160J-1-11
  • Ding M, Antani SK, Jaeger S, Xue Z, Candemir S, Kohli M, Thoma GR. Local-Global Classifier Fusion for Screening Chest Radiographs. Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 101380A (March 13, 2017); doi:10.1117/12.2252459
  • Ebert D, McClanahan T, Rheingans P, Yoo TS. Direct Volume Rendering from Photographic Data. In: deLeeuw W, van Liere R, editors. DataVisualization 2000: Proceedings of the Joint EUROGRAPHICS and IEEE TCVG [Technical Committee on Visualization and Graphics] Symposium on Visualization; 2000 May 29-30; Amsterdam, The Netherlands. Berlin: Springer-Verlag; 2000 May 19. p. 137-46.
  • Faruque J, Antani SK, Long LR, Kim L, Thoma GR. Image similarity ranking of focal computed tomography liver lesions using a 2AFC technique. Proc. SPIE. 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 97870N. DOI: 10.1117/12.2217364.
  • 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.
  • 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.

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