Vinay A. Duddalwar

According to our database, Vinay A. Duddalwar authored at least 17 papers between 2013 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

Evaluating Radiologic Metrics of Sarcopenia and Body Fat in Parastomal Hernia Development After Cystectomy and Ileal Conduit Urinary Diversion.

Jonathan L. Le, Sean S. Kumar, Alireza Ghoreifi, Farshad S. Moghaddam, Hooman Djaladat, Darryl H. Hwang, Vinay A. Duddalwar

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

Low Dose CT Perfusion With K-Space Weighted Image Average (KWIA).

Chenyang Zhao, Thomas Martin, Xingfeng Shao, Jeffry R. Alger, Vinay A. Duddalwar, Danny J. J. Wang

IEEE Trans. Medical Imaging, 2020

Role of Edge Device and Cloud Machine Learning in Point-of-Care Solutions Using Imaging Diagnostics for Population Screening.

Amit Kharat, Vinay A. Duddalwar, Krishna Saoji, Ashrika Gaikwad, Viraj Kulkarni, Gunjan Naik, Rohit Lokwani, Swaraj Kasliwal, Sudeep Kondal, Tanveer Gupte, Aniruddha Pant

CoRR, 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

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

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

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

2013

Automated Pediatric Abdominal Effective Diameter Measurements Versus Age-Predicted Body Size for Normalization of CT Dose.

Phillip M. Cheng, Linda A. Vachon, Vinay A. Duddalwar

J. Digit. Imaging, 2013