Publications

A deep learning framework to assess the feasibility of localizing prostate cancer on b-mode transrectal ultrasound images

Hassan Jahanandish, Sulaiman Vesal, Indrani Bhattacharya, Cynthia Xinran Li, Richard E Fan, Geoffrey A Sonn, Mirabela Rusu

Medical Imaging 2024: Ultrasonic Imaging and Tomography, vol. 12932, SPIE, 2024, pp. 168--173

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

Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study

Anindo Saha, Joeran S Bosma, Jasper J Twilt, Bram van Ginneken, Anders Bjartell, Anwar R Padhani, David Bonekamp, Geert Villeirs, Georg Salomon, Gianluca Giannarini, others

The Lancet Oncology, Elsevier, 2024

External validation of an artificial intelligence model for Gleason grading of prostate cancer on prostatectomy specimens

Bogdana Schmidt, Simon John Christoph Soerensen, Hriday P Bhambhvani, Richard E Fan, Indrani Bhattacharya, Moon Hyung Choi, Christian A Kunder, Chia-Sui Kao, John Higgins, Mirabela Rusu, others

BJU international, Wiley Online Library, 2024

MP19-17 INTEGRATING MR AND ULTRASOUND IMAGES FOR AI-BASED PROSTATE CANCER DETECTION IN TRANSRECTAL ULTRASOUND IMAGES: A COMPARATIVE ASSESSMENT WITH CLINICIANS

Hassan Jahanandish, Sulaiman Vesal, Indrani Bhattacharya, Zachary Kornberg, Steve Ran Zhou, Elijah Richard Sommer, Moon Hyung Choi, Richard E Fan, Mirabela Rusu, Geoffrey A Sonn

The Journal of Urology, vol. 211, Wolters Kluwer Philadelphia, PA, 2024, pp. e317

MP31-18 ARTIFICIAL INTELLIGENCE-ASSISTED PROSTATE CANCER DETECTION ON B-MODE TRANSRECTAL ULTRASOUND IMAGES

Indrani Bhattacharya, Sulaiman Vesal, Hassan Jahanandish, Moonhyung Choi, Steve Zhou, Zachary Kornberg, Elijah Richard Sommer, Richard E Fan, James D Brooks, Mirabela Rusu, others

The Journal of Urology, vol. 211, Wolters Kluwer Philadelphia, PA, 2024, pp. e511

PD50-01 AI VS. UROLOGISTS: A COMPARATIVE ANALYSIS FOR PROSTATE CANCER DETECTION ON TRANSRECTAL B-MODE ULTRASOUND

Sulaiman Vesal, Indrani Bhattacharya, Hassan Jahanandish, Moonhyung Choi, Steve Ran Zhou, Zachary Kornberg, Elijah Richard Sommer, Richard E Fan, Mirabela Rusu, Geoffrey A Sonn

The Journal of Urology, vol. 211, Wolters Kluwer Philadelphia, PA, 2024, pp. e1056

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

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

Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-scale Cancer Information

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

International Workshop on Machine Learning in Medical Imaging, Springer, 2023, pp. 341--350

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

MP09-01 DETECTION OF CLINICALLY SIGNIFICANT PROSTATE CANCER ON MRI: A COMPARISON OF AN ARTIFICIAL INTELLIGENCE MODEL VERSUS RADIOLOGISTS

Simon John Christoph Soerensen, Richard E Fan, Indrani Bhattacharya, David S Lim, Sarir Ahmadi, Xinran Li, Sulaiman Vesal, Mirabela Rusu, Geoffrey A Sonn

The Journal of Urology, vol. 209, Wolters Kluwer Philadelphia, PA, 2023, pp. e103

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

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

ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging

Sulaiman Vesal, Indrani Bhattacharya, Hassan Jahanandish, Xinran Li, Zachary Kornberg, Steve Ran Zhou, Elijah Richard Sommer, Moon Hyung Choi, Richard E Fan, Geoffrey A Sonn, others

arXiv preprint arXiv:2312.05334, 2023

A review of artificial intelligence in prostate cancer detection on imaging

Indrani Bhattacharya, Yash S Khandwala, Sulaiman Vesal, Wei Shao, Qianye Yang, Simon JC Soerensen, Richard E Fan, Pejman Ghanouni, Christian A Kunder, James D Brooks, others

Therapeutic Advances in Urology, vol. 14, SAGE Publications Sage UK: London, England, 2022, p. 17562872221128791

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

Computational Detection of Extraprostatic Extension of Prostate Cancer on Multiparametric MRI Using Deep Learning

{\c{S}}tefania L Moroianu, Indrani Bhattacharya, Arun Seetharaman, Wei Shao, Christian A Kunder, Avishkar Sharma, Pejman Ghanouni, Richard E Fan, Geoffrey A Sonn, Mirabela Rusu

Cancers, vol. 14, MDPI, 2022, p. 2821

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

arXiv preprint arXiv:2209.14657, 2022

Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study

Sulaiman Vesal, Iani Gayo, Indrani Bhattacharya, Shyam Natarajan, Leonard S Marks, Dean C Barratt, Richard E Fan, Yipeng Hu, Geoffrey A Sonn, Mirabela Rusu

Medical Image Analysis, vol. 82, Elsevier, 2022, p. 102620

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

PD40-03 DIGITAL PATHOLOGY LABELS PERFORM BETTER THAN RADIOLOGIST LABELS FOR TRAINING DEEP LEARNING MODELS TO DETECT PROSTATE CANCER ON MRI

Indrani Bhattacharya, David Lim, Christian Kunder, Han Lin Aung, Xingchen Liu, Wei Shao, Simon Soerensen, Richard Fan, Pejman Ghanouni, Katherine To'o, others

The Journal of Urology, vol. 207, Wolters Kluwer Philadelphia, PA, 2022, pp. e684

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

Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging

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

Medical Physics, vol. 48, Wiley Online Library, 2021, pp. 2960--2972

Automated Detection of Aggressive and Indolent Prostate Cancer on Magnetic Resonance Imaging.

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

Medical Physics, 2021

Classifying the emotional speech content of participants in group meetings using convolutional long short-term memory network

Mallory M Morgan, Indrani Bhattacharya, Richard J Radke, Jonas Braasch

The Journal of the Acoustical Society of America, vol. 149, Acoustical Society of America, 2021, pp. 885--894

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 Chen, Pejman Ghanouni, Geoffrey A Sonn, Mirabela Rusu

Medical Imaging 2021: Computer-Aided Diagnosis, vol. 11597, SPIE, 2021, pp. 382--387

Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on Magnetic Resonance Imaging for Targeted Biopsy

Simon John Christoph Soerensen, Richard E Fan, Arun Seetharaman, Leo Chen, Wei Shao, Indrani Bhattacharya, Yong-hun Kim, Rewa Sood, Michael Borre, Benjamin I Chung, others

The Journal of Urology, vol. 206, Wolters Kluwer Philadelphia, PA, 2021, pp. 604--612

Intensity normalization of prostate MRIs using conditional generative adversarial networks for cancer detection

Thomas DeSilvio, Stefania Moroianu, Indrani Bhattacharya, Arun Seetharaman, Geoffrey Sonn, Mirabela Rusu

Medical Imaging 2021: Computer-Aided Diagnosis, vol. 11597, SPIE, 2021, pp. 121--126

MP43-02 LESSONS LEARNED IN APPLYING DEEP LEARNING TO FACILITATE PROSTATE MR-US FUSION BIOPSY WORKFLOW

Simon John Christoph Soerensen, Richard E Fan, Wei Shao, Indrani Bhattacharya, Arun Seetharaman, Michael Borre, Alan Thong, Katherine To’o, Mirabela Rusu, Geoffrey A Sonn

Journal of Urology, vol. 206, LWW, 2021, pp. e781

MP43-03 MACHINE LEARNING IMPROVES DETECTION OF CLINICALLY SIGNIFICANT PROSTATE CANCER IN EQUIVOCAL LESIONS ON MPMRI

Maxime D Rappaport, Indrani Bhattacharya, Richard E Fan, Mirabela Rusu, Geoffrey A Sonn

The Journal of Urology, vol. 206, Wolters Kluwer Philadelphia, PA, 2021, pp. e782--e782

MP46-02 DETAILED ANALYSIS OF MRI CONCORDANCE WITH PROSTATECTOMY HISTOPATHOLOGY USING DEEP LEARNING-BASED DIGITAL PATHOLOGY

Lukas Hockman, Richard Fan, Bogdana Schmidt, Indrani Bhattacharya, Mirabela Rusu, Geoffrey Sonn

Journal of Urology, vol. 206, LWW, 2021, pp. e813--e814

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

ProGNet: prostate gland segmentation on MRI with deep learning

Simon John Christoph Soerensen, Richard Fan, Arun Seetharaman, Leo Chen, Wei Shao, Indrani Bhattacharya, Michael Borre, Benjamin Chung, Katherine To’o, Geoffrey Sonn, others

Medical Imaging 2021: Image Processing, vol. 11596, SPIE, 2021, pp. 743--750

Weakly Supervised Registration of Prostate MRI and Histopathology Images

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

International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, Cham, 2021, pp. 98--107

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

Multiparty visual co-occurrences for estimating personality traits in group meetings

Lingyu Zhang, Indrani Bhattacharya, Mallory Morgan, Michael Foley, Christoph Riedl, Brooke Welles, Richard Radke

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2020, pp. 2085--2094

Automatic speech emotion recognition using deep learning for analysis of collaborative group meetings

Mallory M Morgan, Indrani Bhattacharya, Rich Radke, Jonas Braasch

The Journal of the Acoustical Society of America, vol. 146, ASA, 2019, pp. 3073--3074

Improved Visual Focus of Attention Estimation and Prosodic Features for Analyzing Group Interactions

Lingyu Zhang, Mallory Morgan, Indrani Bhattacharya, Michael Foley, Jonas Braasch, Christoph Riedl, Brooke Foucault Welles, Richard J Radke

2019 International Conference on Multimodal Interaction, ACM, 2019, pp. 385--394

Multimodal dialog for browsing large visual catalogs using exploration-exploitation paradigm in a joint embedding space

Indrani Bhattacharya, Arkabandhu Chowdhury, Vikas C Raykar

Proceedings of the 2019 on International Conference on Multimedia Retrieval, ACM, 2019, pp. 187--191

The unobtrusive group interaction (UGI) corpus

Indrani Bhattacharya, Michael Foley, Christine Ku, Ni Zhang, Tongtao Zhang, Cameron Mine, Manling Li, Heng Ji, Christoph Riedl, Brooke Foucault Welles, others

Proceedings of the 10th ACM Multimedia Systems Conference, ACM, 2019, pp. 249--254

A Multimodal-Sensor-Enabled Room for Unobtrusive Group Meeting Analysis

Indrani Bhattacharya, Michael Foley, Ni Zhang, Tongtao Zhang, Christine Ku, Cameron Mine, Heng Ji, Christoph Riedl, Brooke Foucault Welles, Richard J Radke

Proceedings of the 2018 on International Conference on Multimodal Interaction, ACM, 2018, pp. 347--355

Unobtrusive Analysis of Group Interactions without Cameras

Indrani Bhattacharya

Proceedings of the 2018 on International Conference on Multimodal Interaction, ACM, 2018, pp. 501--505

Privacy-Preserving Understanding of Human Body Orientation for Smart Meetings

Indrani Bhattacharya, Noam Eshed, Richard J Radke

13th IEEE Workshop on Perception Beyond the Visible Spectrum (in conjunction with CVPR 2017), 2017

Arrays of single pixel time-of-flight sensors for privacy preserving tracking and coarse pose estimation

Indrani Bhattacharya, Richard J Radke

2016 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, 2016, pp. 1--9

A palmprint based biometric authentication system using dual tree complex wavelet transform

Soumyasree Chakraborty, Indrani Bhattacharya, Amitava Chatterjee

Measurement, vol. 46, Elsevier, 2013, pp. 4179--4188