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).
Rahman MM, Antani SK, Demner-Fushman D, Thoma GR.An Interactive Region-Of-interest (ROI)- Based Image Retrieval Approach of Biomedical Articles in a Local Concept- Based Feature Space [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
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.
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.
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.
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.
Cheng P, Lu P, Wang P, Zhou W, Yu W, Jaeger S, Li J, Wu T, Ke X, Zheng B, Antani SK, Candemir S, Quan S, Lure F, Li H, Guo L.Applying Deep Learning and Radiomics to Determine Biological Lung and Heart Age from Chest Radiographs. Chinese Congress of Radiology.
Lure F, Jaeger S, Cheng G, Li H, Lu P, Yu W, Kung J, Guan Y.Applying Multi-modality Artificial Intelligence for Screening of Tuberculosis in a TB High-burden Large Rural Region in China TBScience, 50th Union World Conference on Lung Health, Hyderabad, India.
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.
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.