CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis. - Indrani Bhattacharya; Arun Seetharaman; Wei Shao 008; Rewa Sood; Christian A. Kunder; Richard E. Fan; Simon John Christoph Soerensen; Jeffrey B. Wang; Pejman Ghanouni; Nikola C. Teslovich; James D. Brooks; Geoffrey A. Sonn; et al. (MICCAI (2), 2020)

Clinically significant prostate cancer detection on MRI with self-supervised learning using image context restoration. - Amir Bolous; Arun Seetharaman; Indrani Bhattacharya; Richard E. Fan; Simon John Christoph Soerensen; Leo C. Chen; Pejman Ghanouni; Geoffrey A. Sonn; Mirabela Rusu (Computer-Aided Diagnosis, 2021)

Intensity normalization of prostate MRIs using conditional generative adversarial networks for cancer detection. - Thomas DeSilvio; Stefania Moroianu; Indrani Bhattacharya; Arun Seetharaman; Geoffrey A. Sonn; Mirabela Rusu (Computer-Aided Diagnosis, 2021)

ProGNet: prostate gland segmentation on MRI with deep learning. - Simon John Christoph Soerensen; Richard E. Fan; Arun Seetharaman; Leo C. Chen; Wei Shao 008; Indrani Bhattacharya; Michael Borre; Benjamin Chung; Katherine J. To'o; Geoffrey A. Sonn; Mirabela Rusu (Image Processing, 2021)

Bridging the gap between prostate radiology and pathology through machine learning. - Indrani Bhattacharya; David S. Lim; Han Lin Aung; Xingchen Liu; Arun Seetharaman; Christian A. Kunder; Wei Shao 008; Simon John Christoph Soerensen; Richard E. Fan; Pejman Ghanouni; Katherine J. To'o; James D. Brooks; et al. (CoRR, 2021)

Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework. - Indrani Bhattacharya; Arun Seetharaman; Christian Kunder; Wei Shao 008; Leo C. Chen; Simon John Christoph Soerensen; Jeffrey B. Wang; Nikola C. Teslovich; Richard E. Fan; Pejman Ghanouni; James D. Brooks; Geoffrey A. Sonn; et al. (Medical Image Anal., 2022)