Rakesh Shiradkar

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 9

Top Topics

Photometric Stereo

Magnetic Resonance Imaging

Prostate Cancer

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Int. J. Medical Informatics

Comput. Biol. Medicine

Publications

Amogh Hiremath, Vidya Sankar Viswanathan, Kaustav Bera, Rakesh Shiradkar, Lei Yuan, Keith Armitage, Robert Gilkeson, Mengyao Ji, Pingfu Fu, Amit Gupta, Cheng Lu, Anant Madabhushi
Deep learning reveals lung shape differences on baseline chest CT between mild and severe COVID-19: A multi-site retrospective study. Comput. Biol. Medicine 177 (2024)
Babajide O. Owosela, Rebecca S. Steinberg, Sharon L. Leslie, Leo A. Celi, Saptarshi Purkayastha, Rakesh Shiradkar, Janice M. Newsome, Judy W. Gichoya
Identifying and improving the "ground truth" of race in disparities research through improved EMR data reporting. A systematic review. Int. J. Medical Informatics 182 (2024)
Davide Chicco, Rakesh Shiradkar
Ten quick tips for computational analysis of medical images. PLoS Comput. Biol. 19 (1) (2023)
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
Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer. Medical Imaging: Computer-Aided Diagnosis (2022)
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, Cheng Lu, Anant Madabhushi
LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN Model of Infiltrates for COVID-19 Prognosis. MICCAI (7) (2021)
Amogh Hiremath, Rakesh Shiradkar, Nathaniel Braman, Prateek Prasanna, Ardeshir R. Rastinehad, Andrei Purysko, Anant Madabhushi
A combination of intra- and peri-tumoral deep features from prostate bi-parametric MRI can distinguish clinically significant and insignificant prostate cancer. Medical Imaging: Computer-Aided Diagnosis (2020)
Rakesh Shiradkar, Ruyuan Zuo, Amr Mahran, Lee Ponsky, Sree Harsha Tirumani, Anant Madabhushi
Radiomic features derived from periprostatic fat on pre-surgical T2w MRI predict extraprostatic extension of prostate cancer identified on post-surgical pathology: preliminary results. Medical Imaging: Computer-Aided Diagnosis (2020)
Lin Li, Rakesh Shiradkar, Ahmad Algohary, Patrick Leo, Cristina Magi-Galluzzi, Eric Klein, Andrei Purysko, Anant Madabhushi
Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score. Medical Imaging: Computer-Aided Diagnosis (2019)
Soumya Ghose, Rakesh Shiradkar, Mirabela Rusu, Jhimli Mitra, Rajat Thawani, Michael D. Feldman, Amar Gupta, Andrei Purysko, Lee Ponsky, Anant Madabhushi
Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI. MICCAI (2) (2017)
Rakesh Shiradkar, Li Shen, George V. Landon, Sim Heng Ong, Ping Tan
A New Perspective on Material Classification and Ink Identification. CVPR (2014)
Rakesh Shiradkar, Ping Tan, Sim Heng Ong
Auto-calibrating photometric stereo using ring light constraints. Mach. Vis. Appl. 25 (3) (2014)
Rakesh Shiradkar, Sim Heng Ong
Surface reconstruction using isocontours of constant depth and gradient. ICIP (2013)