Surface reconstruction using isocontours of constant depth and gradient. - Rakesh Shiradkar; Sim Heng Ong (ICIP, 2013)

A New Perspective on Material Classification and Ink Identification. - Rakesh Shiradkar; Li Shen 003; George V. Landon; Sim Heng Ong; Ping Tan (CVPR, 2014)

Auto-calibrating photometric stereo using ring light constraints. - Rakesh Shiradkar; Ping Tan; Sim Heng Ong (Mach. Vis. Appl., 2014)

Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI. - Soumya Ghose; Rakesh Shiradkar; Mirabela Rusu; Jhimli Mitra; Rajat Thawani; Michael D. Feldman; Amar Gupta; Andrei S. Purysko; Lee Ponsky; Anant Madabhushi (MICCAI (2), 2017)

Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score. - Lin Li; Rakesh Shiradkar; Ahmad Algohary; Patrick Leo; Cristina Magi-Galluzzi; Eric Klein; Andrei S. Purysko; Anant Madabhushi (Computer-Aided Diagnosis, 2019)

A combination of intra- and peri-tumoral deep features from prostate bi-parametric MRI can distinguish clinically significant and insignificant prostate cancer. - Amogh Hiremath; Rakesh Shiradkar; Nathaniel Braman; Prateek Prasanna; Ardeshir R. Rastinehad; Andrei S. Purysko; Anant Madabhushi (Computer-Aided Diagnosis, 2020)

Radiomic features derived from periprostatic fat on pre-surgical T2w MRI predict extraprostatic extension of prostate cancer identified on post-surgical pathology: preliminary results. - Rakesh Shiradkar; Ruyuan Zuo; Amr Mahran; Lee Ponsky; Sree Harsha Tirumani; Anant Madabhushi (Computer-Aided Diagnosis, 2020)

LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN Model of Infiltrates for COVID-19 Prognosis. - Amogh Hiremath; Lei Yuan; Rakesh Shiradkar; Kaustav Bera; Vidya Sankar Viswanathan; Pranjal Vaidya; Jennifer Furin; Keith Armitage; Robert Gilkeson; Mengyao Ji; Pingfu Fu; Amit Gupta; et al. (MICCAI (7), 2021)

Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer. - Ansh Roge; Amogh Hiremath; Michael Sobota; Sree Harsha Tirumani; Leonardo Kayat Bittencourt; Justin Ream; Ryan Ward; Halimat Olaniyan; Sadhna Verma; Andrei S. Purysko; Anant Madabhushi; Rakesh Shiradkar (Computer-Aided Diagnosis, 2022)

Ten quick tips for computational analysis of medical images. - Davide Chicco; Rakesh Shiradkar (PLoS Comput. Biol., 2023)

Deep learning reveals lung shape differences on baseline chest CT between mild and severe COVID-19: A multi-site retrospective study. - Amogh Hiremath; Vidya Sankar Viswanathan; Kaustav Bera; Rakesh Shiradkar; Lei Yuan; Keith Armitage; Robert Gilkeson; Mengyao Ji; Pingfu Fu; Amit Gupta; Cheng Lu 001; Anant Madabhushi (Comput. Biol. Medicine, 2024)

Identifying and improving the "ground truth" of race in disparities research through improved EMR data reporting. A systematic review. - Babajide O. Owosela; Rebecca S. Steinberg; Sharon L. Leslie; Leo A. Celi; Saptarshi Purkayastha; Rakesh Shiradkar; Janice M. Newsome; Judy W. Gichoya (Int. J. Medical Informatics, 2024)