Rakesh Shiradkar

According to our database, Rakesh Shiradkar authored at least 12 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, February, 2024

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, Anant Madabhushi

Comput. Biol. Medicine, 2024

2023

Ten quick tips for computational analysis of medical images.

Davide Chicco, Rakesh Shiradkar

PLoS Comput. Biol., January, 2023

2022

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

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

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, Cheng Lu, Anant Madabhushi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

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

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

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

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2017

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2014

Auto-calibrating photometric stereo using ring light constraints.

Rakesh Shiradkar, Ping Tan, Sim Heng Ong

Mach. Vis. Appl., 2014

A New Perspective on Material Classification and Ink Identification.

Rakesh Shiradkar, Li Shen, George V. Landon, Sim Heng Ong, Ping Tan

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Surface reconstruction using isocontours of constant depth and gradient.

Rakesh Shiradkar, Sim Heng Ong

Proceedings of the IEEE International Conference on Image Processing, 2013