Patient classification based on expanded query using 5-gram collocation and binary tree. - Jaya Sil; Indrani Bhattacharya (DSAA, 2015)

Query Classification using LDA Topic Model and Sparse Representation Based Classifier. - Indrani Bhattacharya; Jaya Sil (CODS, 2016)

Arrays of single pixel time-of-flight sensors for privacy preserving tracking and coarse pose estimation. - Indrani Bhattacharya; Richard J. Radke (WACV, 2016)

Designing Intelligent Automation based Solutions for Complex Social Problems. - Sanjay Podder; Janardan Misra; Senthil Kumaresan; Neville Dubash; Indrani Bhattacharya (CoRR, 2016)

Graph Based Clinical Decision Support System Using Ontological Framework. - Nilanjana Lodh; Jaya Sil; Indrani Bhattacharya (CICBA (2), 2017)

Privacy-Preserving Understanding of Human Body Orientation for Smart Meetings. - Indrani Bhattacharya; Noam Eshed; Richard J. Radke (CVPR Workshops, 2017)

Spatial Distribution Based Provisional Disease Diagnosis in Remote Healthcare. - Indrani Bhattacharya; Jaya Sil (PReMI, 2017)

Visualizing Group Dynamics based on Multiparty Meeting Understanding. - Ni Zhang; Tongtao Zhang; Indrani Bhattacharya; Heng Ji 001; Richard J. Radke (EMNLP (Demonstration), 2018)

Unobtrusive Analysis of Group Interactions without Cameras. - Indrani Bhattacharya (ICMI, 2018)

A Multimodal-Sensor-Enabled Room for Unobtrusive Group Meeting Analysis. - Indrani Bhattacharya; Michael Foley; Ni Zhang; Tongtao Zhang; Christine Ku; Cameron Mine; Heng Ji 001; Christoph Riedl; Brooke Foucault Welles; Richard J. Radke (ICMI, 2018)

Improved Visual Focus of Attention Estimation and Prosodic Features for Analyzing Group Interactions. - Lingyu Zhang 002; Mallory Morgan; Indrani Bhattacharya; Michael Foley; Jonas Braasch; Christoph Riedl; Brooke Foucault Welles; Richard J. Radke (ICMI, 2019)

Multimodal Dialog for Browsing Large Visual Catalogs using Exploration-Exploitation Paradigm in a Joint Embedding Space. - Indrani Bhattacharya; Arkabandhu Chowdhury; Vikas C. Raykar (ICMR, 2019)

The unobtrusive group interaction (UGI) corpus. - Indrani Bhattacharya; Michael Foley; Christine Ku; Ni Zhang; Tongtao Zhang; Cameron Mine; Manling Li; Heng Ji 001; Christoph Riedl; Brooke Foucault Welles; Richard J. Radke (MMSys, 2019)

Multi-modal dialog for browsing large visual catalogs using exploration-exploitation paradigm in a joint embedding space. - Indrani Bhattacharya; Arkabandhu Chowdhury; Vikas C. Raykar (CoRR, 2019)

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)

Multiparty Visual Co-Occurrences for Estimating Personality Traits in Group Meetings. - Lingyu Zhang 002; Indrani Bhattacharya; Mallory Morgan; Michael Foley; Christoph Riedl; Brooke Foucault Welles; Richard J. Radke (WACV, 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)

Weakly Supervised Registration of Prostate MRI and Histopathology Images. - Wei Shao 008; Indrani Bhattacharya; Simon John Christoph Soerensen; Christian A. Kunder; Jeffrey B. Wang; Richard E. Fan; Pejman Ghanouni; James D. Brooks; Geoffrey A. Sonn; Mirabela Rusu (MICCAI (4), 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)

Integrating zonal priors and pathomic MRI biomarkers for improved aggressive prostate cancer detection on MRI. - Indrani Bhattacharya; Wei Shao 008; Simon J. C. Soerensen; Richard E. Fan; Jeffrey B. Wang; Christian Kunder; Pejman Ghanouni; Geoffrey A. Sonn; Mirabela Rusu (Computer-Aided Diagnosis, 2022)

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 (CoRR, 2022)

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)

Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study. - Sulaiman Vesal; Iani J. M. B. Gayo; Indrani Bhattacharya; Shyam Natarajan; Leonard S. Marks; Dean C. Barratt; Richard E. Fan; Yipeng Hu; Geoffrey A. Sonn; Mirabela Rusu (Medical Image Anal., 2022)

MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection. - Indrani Bhattacharya; Sulaiman Vesal; Hassan Jahanandish; Moonhyung Choi; Steve Ran Zhou; Zachary Kornberg; Elijah Richard Sommer; Richard E. Fan; James D. Brooks; Geoffrey A. Sonn; Mirabela Rusu (ASMUS@MICCAI, 2023)

Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-scale Cancer Information. - Cynthia Xinran Li; Indrani Bhattacharya; Sulaiman Vesal; Sara L. Saunders; Simon John Christoph Soerensen; Richard E. Fan; Geoffrey A. Sonn; Mirabela Rusu (MLMI@MICCAI (1), 2023)

ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging. - Sulaiman Vesal; Indrani Bhattacharya; Hassan Jahanandish; Cynthia Xinran Li; Zachary Kornberg; Steve Ran Zhou; Elijah Richard Sommer; Moonhyung Choi; Richard E. Fan; Geoffrey A. Sonn; Mirabela Rusu (CoRR, 2023)

RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate. - Wei Shao 008; Sulaiman Vesal; Simon J. C. Soerensen; Indrani Bhattacharya; Negar Golestani; Rikiya Yamashita; Christian A. Kunder; Richard E. Fan; Pejman Ghanouni; James D. Brooks; Geoffrey A. Sonn; Mirabela Rusu (Comput. Biol. Medicine, 2024)

ProstAtlasDiff: Prostate cancer detection on MRI using Diffusion Probabilistic Models guided by population spatial cancer atlases. - Cynthia Xinran Li; Indrani Bhattacharya; Sulaiman Vesal; Pejman Ghanouni; Hassan Jahanandish; Richard E. Fan; Geoffrey A. Sonn; Mirabela Rusu (Medical Image Anal., 2025)

Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study. - Hassan Jahanandish; Shengtian Sang; Cynthia Xinran Li; Sulaiman Vesal; Indrani Bhattacharya; Jeong Hoon Lee 001; Richard E. Fan; Geoffrey A. Sonn; Mirabela Rusu (CoRR, 2025)

Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer. - Jeong Hoon Lee 001; Cynthia Xinran Li; Hassan Jahanandish; Indrani Bhattacharya; Sulaiman Vesal; Lichun Zhang; Shengtian Sang; Moon Hyung Choi; Simon John Christoph Soerensen; Steve Ran Zhou; Elijah Richard Sommer; Richard E. Fan; et al. (CoRR, 2025)