Bino A. Varghese

According to our database, Bino A. Varghese authored at least 13 papers between 2017 and 2023.

Collaborative distances:

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

2023

Discriminant Radiomic Feature Selection for PD-L1 Prediction in Clear Cell Renal Cell Carcinoma.

Yixing Wu, Alexander Shieh, Steven Y. Cen, Bino A. Varghese, Darryl H. Hwang, William Wallace, C.-C. Jay Kuo, Vinay A. Duddalwar

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Effects of Reconstruction Filter Kernels in Computed Tomography on Radiomic Image Features.

Katharine Sweetland, Karen Chu, Xiaomeng Lei, Steven Y. Cen, Vinay A. Duddalwar, Bino A. Varghese, Darryl H. Hwang

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Characterizing International Biomarker Standardization Initiative Image Features using Brodatz Textures.

Katharine Sweetland, Karen Chu, Xiaomeng Lei, Steven Y. Cen, Vinay A. Duddalwar, Darryl H. Hwang, Bino A. Varghese

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Image Perturbation Analysis to Study the Effect of Noise on Radiomics Metrics: Phantom Study.

Hesam Setayesh, Kunyu Li, Shubham Arun Gujar, Xiaomeng Lei, Vinay A. Duddalwar, Steven Y. Cen, Darryl H. Hwang, Bino A. Varghese

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Pectoral Muscle Segmentation from Digital Mammograms Using a Transformative Approach.

Dhanush Jain Mahaveera, Shubham Arun Gujar, Steven Y. Cen, Xiaomeng Lei, Darryl H. Hwang, Bino A. Varghese

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Breast Lesion Classification using Radiomics-derived Regions of Interest on Mammograms.

Shubham Arun Gujar, Xiaomeng Lei, Steven Y. Cen, Darryl H. Hwang, Bino A. Varghese

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

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

2021

Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis.

Mingxi Lei, Bino A. Varghese, Darryl Hwang, Steven Y. Cen, Xiaomeng Lei, Desai Bhushan, Afshin Azadikhah, Assad A. Oberai, Vinay A. Duddalwar

J. Digit. Imaging, 2021

2020

Benchmarking features from different radiomics toolkits / toolboxes using Image Biomarkers Standardization Initiative.

Mingxi Lei, Bino A. Varghese, Darryl Hwang, Steven Y. Cen, Xiaomeng Lei, Afshin Azadikhah, Desai Bhushan, Assad A. Oberai, Vinay A. Duddalwar

CoRR, 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

2017

Wavelets analysis for differentiating solid, non-macroscopic fat containing, enhancing renal masses: a pilot study.

Bino A. Varghese, Darryl Hwang, Passant Mohamed, Steven Y. Cen, Christopher Deng, Michael Chang, Vinay A. Duddalwar

Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

NecroQuant: quantitative assessment of radiological necrosis.

Darryl H. Hwang, Passant Mohamed, Bino A. Varghese, Steven Y. Cen, Vinay A. Duddalwar

Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017