Inderbir Gill

According to our database, Inderbir Gill authored at least 5 papers between 2016 and 2022.

Collaborative distances:

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

2022

Probabilistic medical image imputation via deep adversarial learning.

Ragheb Raad, Dhruv Patel, Chiao-Chih Hsu, Vijay Kothapalli, Deep Ray, Bino A. Varghese, Darryl Hwang, Inderbir Gill, Vinay A. Duddalwar, Assad A. Oberai

Eng. Comput., 2022

2020

Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images.

Bino A. Varghese, Frank Chen, Darryl Hwang, Suzanne L. Palmer, Andre Luis De Castro Abreu, Osamu Ukimura, Monish Aron, Manju Aron, Inderbir Gill, Vinay A. Duddalwar, Gaurav Pandey

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2018

A Decision-Support Tool for Renal Mass Classification.

Gautam Kunapuli, Bino A. Varghese, Priya Ganapathy, Desai Bhushan, Steven Y. Cen, Manju Aron, Inderbir Gill, Vinay A. Duddalwar

J. Digit. Imaging, 2018

EdgeRunner: a novel shape-based pipeline for tumours analysis and characterisation.

Fernando Yepes-Calderon, Darryl Hwang, Rebecca Johnson, Desai Bhushan, Niharika Gajawelli, Steven Y. Cen, Brian Quinn, Felix Yap, Inderbir Gill, Natasha Leporé, Vinay A. Duddalwar

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

2016

The 3D EdgeRunner Pipeline: a novel shape-based analysis for neoplasms characterization.

Fernando Yepes-Calderon, Rebecca Johnson, Yi Lao, Darryl Hwang, Julie Coloigner, Felix Yap, Desai Bhushan, Phillip M. Cheng, Inderbir Gill, Vinay A. Duddalwar, Natasha Leporé

Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016