ArtHiFy: artificial histopathology-style features for improving MRI-based prostate cancer detection

Indrani Bhattacharya, Wei Shao, Xinran Li, Simon JC Soerensen, Richard E Fan, Pejman Ghanouni, James D Brooks, Geoffrey A Sonn, Mirabela Rusu

Medical Imaging 2024: Computer-Aided Diagnosis, vol. 12927, SPIE, 2024, pp. 442--448

Swin Transformer-based affine registration of MRI and ultrasound images of the prostate

Shengtian Sang, Hassan Jahanandish, Xinran Li, Sulaiman Vesal, Indrani Bhattacharya, Lichun Zhang, Richard E Fan, Geoffrey Sonn, Mirabela Rusu

Medical Imaging 2024: Ultrasonic Imaging and Tomography, vol. 12932, SPIE, 2024, pp. 39--44

RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate

Wei Shao, Sulaiman Vesal, Simon JC Soerensen, Indrani Bhattacharya, Negar Golestani, Rikiya Yamashita, Christian A Kunder, Richard E Fan, Pejman Ghanouni, James D Brooks, others

Computers in Biology and Medicine, vol. 173, Pergamon, 2024, p. 108318

PD22-02 HISTOPATHOLOGY-INFORMED RADIOLOGY BIOMARKERS IMPROVE ARTIFICIAL INTELLIGENCE-BASED DETECTION OF AGGRESSIVE PROSTATE CANCER ON MAGNETIC RESONANCE IMAGING

Indrani Bhattacharya, Karin Stacke, Richard Fan, James Brooks, Mirabela Rusu, Geoffrey Sonn

The Journal of Urology, vol. 209, Wolters Kluwer Philadelphia, PA, 2023, pp. e664

MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection

Indrani Bhattacharya, Sulaiman Vesal, Hassan Jahanandish, Moonhyung Choi, Steve Zhou, Zachary Kornberg, Elijah Sommer, Richard Fan, James Brooks, Geoffrey Sonn, others

International Workshop on Advances in Simplifying Medical Ultrasound, Springer, 2023, pp. 121--131

PD22-03 IMPROVING PROSTATE CANCER DETECTION ON MRI WITH DEEP LEARNING, CLINICAL VARIABLES, AND RADIOMICS

Sara Saunders, Xinran Li, Sulaiman Vesal, Indrani Bhattacharya, Simon JC Soerensen, Richard E Fan, Mirabela Rusu, Geoffrey A Sonn

The Journal of Urology, vol. 209, Wolters Kluwer Philadelphia, PA, 2023, pp. e665

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, Simon JC Soerensen, Richard E Fan, Pejman Ghanouni, others

Medical Physics, vol. 49, 2022, pp. 5160--5181

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, Leo C Chen, Simon JC Soerensen, Jeffrey B Wang, Nikola C Teslovich, Richard E Fan, Pejman Ghanouni, others

Medical image analysis, vol. 75, Elsevier, 2022, p. 102288

Integrating zonal priors and pathomic MRI biomarkers for improved aggressive prostate cancer detection on MRI

Indrani Bhattacharya, Wei Shao, Simon JC Soerensen, Richard E Fan, Jeffrey B Wang, Christian Kunder, Pejman Ghanouni, Geoffrey A Sonn, Mirabela Rusu

Medical Imaging 2022: Computer-Aided Diagnosis, vol. 12033, SPIE, 2022, pp. 178--184

Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT

Karin Stacke, Indrani Bhattacharya, Justin R Tse, James D Brooks, Geoffrey A Sonn, Mirabela Rusu

arXiv preprint arXiv:2209.14657, 2022

PD10-01 AUTOMATED IDENTIFICATION OF AGGRESSIVE PROSTATE CANCER USING AN MRI-PATHOLOGY CORRELATION AND DEEP LEARNING FRAMEWORK

Indrani Bhattacharya, Arun Seetharaman, Christian Kunder, Wei Shao, Leo Chen, Simon Soerensen, Jeffrey Wang, Nikola Teslovich, Richard Fan, Pejman Ghanouni, others

The Journal of Urology, vol. 206, Wolters Kluwer Philadelphia, PA, 2021, pp. e126--e126

CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis

Indrani Bhattacharya, Arun Seetharaman, Wei Shao, Rewa Sood, Christian A Kunder, Richard E Fan, Simon John Christoph Soerensen, Jeffrey B Wang, Pejman Ghanouni, Nikola C Teslovich, others

International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, Cham, 2020, pp. 315--325