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  • Jaeger S. An information-theoretic neural model based on concepts in Chinese medicine. 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).
  • Rahman MM, You D, Simpson M. An interactive image retrieval framework for biomedical articles based on visual region-of-interest (ROI) identification and classification [Abstract]. The 2nd IEEE Conference on Healthcare Informatics, Imaging, and Systems Biology Analyzing Big Data for Healthcare and Biomedical Sciences (HISB 2012). La Jolla, CA. September 2012.
  • 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.
  • Hu L, Bell D, Antani SK, Xue Z, Yu K, Horning MP, Gachuhi N, Wilson B, Jaiswal MS, Befano B, Long LR, Herrero R, Einstein MH, Burk RD, Demarco M, Gage JC, Wentzensen N, Schiffman M. An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening. J Natl Cancer Inst. 2019 Jan 10. doi: 10.1093/jnci/djy225
  • 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.
  • Liu J, Subramanian KR, Yoo TS. An optical flow approach to tracking colonoscopy video. Comput Med Imaging Graph. 2013 Apr;37(3):207-23. doi: 10.1016/j.compmedimag.2013.01.010. Epub 2013 Mar 13.
  • Thoma GR. Anatomic Images for the Public May 2003 Technical Report to the LHNCBC Board of Scientific Counselors.
  • 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.
  • 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.
  • Kilicoglu H, Ben Abacha A, Mrabet Y, Roberts K, Rodriguez L, Shooshan SE, Demner-Fushman D. Annotating named entities in consumer health questions. LREC,23-28 May 2016, Portorož.
  • Roberts K, Masterton K, Kilicoglu H, Fiszman M, Demner-Fushman D. Annotating Question Decomposition on Complex Medical Questions. LREC 2014.
  • Roberts K, Masterton K, Fiszman M, Kilicoglu H, Demner-Fushman D. Annotating Question Types for Consumer Health Questions. LREC 2014, BioTxtM workshop.
  • Demner-Fushman D, Simpson M, Antani S, Thoma GR. Annotation and retrieval of clinically relevant images. Int J Med Inform. 2009 Dec;78(12):e59-67. doi: 10.1016/j.ijmedinf.2009.05.003. Epub 2009 Jul 9.
  • Demner-Fushman D, Shooshan SE, Rodriguez L, Antani SK, Thoma GR. Annotation of Chest Radiology Reports for Indexing and Retrieval. Multimodal Retrieval in the Medical Domain 2015 (MRMD 2015), Vienna, Austria, March 29, 2015
  • Gandhi T, Kasturi R, Antani S. Application of Planar Motion Segmentation for Scene Text Extraction Proc. of the 15th IEEE International Conference of Pattern Recognition. 2000 Sept.;1:1831-4.
  • Guan Y, Li M, Jaeger S, Lure F, Raptopoulos V, Lu P, Folio LR, Candemir S, Antani SK, Siegelman J, Li J, Wu T, Thoma GR, Qu S. Applying Artificial Intelligence and Radiomics for Computer Aided Diagnosis and Risk Assessment in Chest Radiographs. 2nd Conference on Machine Intelligence in Medical Imaging (CMIMI) of the Society for Imaging Informatics in Medicine (SIIM), Poster, 2017.
  • Antani SK, Long RL, Thoma GR. Applying Vertebral Boundary Semantics to CBIR of Digitized Spine X-Ray Images Proc SPIE Electronic Imaging Science and Technology, Conference on Storage and Retrieval Methods and Applications for Multimedia. 2005;5682:98-107.
  • KC S, Naved A, Roy PP, Wendling L, Antani SK, Thoma GR. Arrowhead detection in biomedical images. Proceedings IS&T Electronic Imaging, Document Recognition and Retrieval XXIII, 2016, pp. 1-7.
  • Rajaraman S, Sornapudi S, Kohli M, Antani SK. Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany, 23 – 27 July 2019. pp. 3689 – 3692.
  • Ganesan P, Rajaraman S, Long LR, Ghoraani B, Antani SK. Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest Radiographs. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany, 23 – 27 July 2019. pp. 841 – 844.
  • Siegel ER, Wood FB, Dutcher GA, Ruffin A, Logan RA, Scott J. Assessment of the National Library of Medicine's Health Disparities Plan: A Focus on Native American Outreach J Med Libr Assoc. 2005 Oct;93(4 Suppl):S10-20
  • Candemir S, Jaeger S, Antani S, Bagci U, Folio LR, Xu Z, Thoma G. Atlas-based rib-bone detection in chest X-rays. Comput Med Imaging Graph. 2016 Jul;51:32-9. doi: 10.1016/j.compmedimag.2016.04.002. Epub 2016 Apr 13.
  • KC S, Antani SK. Automated chest X-ray screening: Can lung region symmetry help detect pulmonary abnormalities? IEEE Transactions on Medical Imaging. doi: https://doi.org/10.1109/TMI.2017.2775636.
  • Santosh KC, Antani SK. Automated chest x-ray screening: Can lung region symmetry help detect pulmonary abnormalities? doi: 10.1109/TMI.2017.2775636 vol. 37, no. 5, 1168-1177.
  • Antani SK. Automated Detection of Lung Diseases in Chest X-Rays April 2015 Technical Report to the LHNCBC Board of Scientific Counselors

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