Vinay A. Duddalwar

22 papers Journal 12Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Study on Energy Consumption in AI-Driven Medical Image Segmentation. J. Imaging R. Prajwal, S. J. Pawan, Shahin Nazarian, Nicholas Heller, Christopher J. Weight, Vinay A. Duddalwar, C.-C. Jay Kuo
2025	J	`jnl`	Integrated Hyperparameter Optimization with Dimensionality Reduction and Clustering for Radiomics: A Bootstrapped Approach. Multimodal Technol. Interact. S. J. Pawan, Matthew Muellner, Xiaomeng Lei, Mihir Desai, Bino A. Varghese, Vinay A. Duddalwar, Steven Y. Cen
2025	J	`jnl`	Prediction of PD-L1 and CD68 in Clear Cell Renal Cell Carcinoma with Green Learning. J. Imaging Yixing Wu, Alexander Shieh, Steven Y. Cen, Darryl Hwang, Xiaomeng Lei, S. J. Pawan, Manju Aron, Inderbir S. Gill, William Wallace, C.-C. Jay Kuo, Vinay A. Duddalwar
2024	—	`conf`	Investigating the Effects of Computed Tomography Reconstruction Settings from Multiple Scanners on IBSI Compliant Radiomic Features. SIPAIM Katharine Sweetland, Vinay A. Duddalwar, Bino A. Varghese, Darryl H. Hwang
2024	J	`jnl`	PCa-RadHop: A transparent and lightweight feed-forward method for clinically significant prostate cancer segmentation. Comput. Medical Imaging Graph. Vasileios Magoulianitis, Jiaxin Yang, Yijing Yang, Jintang Xue, Masatomo Kaneko, Giovanni E. Cacciamani, Andre Abreu, Vinay A. Duddalwar, C.-C. Jay Kuo, Inderbir S. Gill, Chrysostomos L. Nikias
2023	—	`conf`	Characterizing International Biomarker Standardization Initiative Image Features using Brodatz Textures. SIPAIM Katharine Sweetland, Karen Chu, Xiaomeng Lei, Steven Y. Cen, Vinay A. Duddalwar, Darryl H. Hwang, Bino A. Varghese
2023	—	`conf`	Discriminant Radiomic Feature Selection for PD-L1 Prediction in Clear Cell Renal Cell Carcinoma. SIPAIM Yixing Wu, Alexander Shieh, Steven Y. Cen, Bino A. Varghese, Darryl H. Hwang, William Wallace, C.-C. Jay Kuo, Vinay A. Duddalwar
2023	—	`conf`	Effects of Reconstruction Filter Kernels in Computed Tomography on Radiomic Image Features. SIPAIM Katharine Sweetland, Karen Chu, Xiaomeng Lei, Steven Y. Cen, Vinay A. Duddalwar, Bino A. Varghese, Darryl H. Hwang
2023	—	`conf`	Evaluating Radiologic Metrics of Sarcopenia and Body Fat in Parastomal Hernia Development After Cystectomy and Ileal Conduit Urinary Diversion. SIPAIM Jonathan L. Le, Sean S. Kumar, Alireza Ghoreifi, Farshad S. Moghaddam, Hooman Djaladat, Darryl H. Hwang, Vinay A. Duddalwar
2023	—	`conf`	Image Perturbation Analysis to Study the Effect of Noise on Radiomics Metrics: Phantom Study. SIPAIM Hesam Setayesh, Kunyu Li, Shubham Arun Gujar, Xiaomeng Lei, Vinay A. Duddalwar, Steven Y. Cen, Darryl H. Hwang, Bino A. Varghese
2022	J	`jnl`	Probabilistic medical image imputation via deep adversarial learning. Eng. Comput. Ragheb Raad, Dhruv Patel, Chiao-Chih Hsu, Vijay Kothapalli, Deep Ray, Bino A. Varghese, Darryl Hwang, Inderbir S. Gill, Vinay A. Duddalwar, Assad A. Oberai
2021	J	`jnl`	Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis. J. Digit. Imaging Mingxi Lei, Bino A. Varghese, Darryl Hwang, Steven Y. Cen, Xiaomeng Lei, Desai Bhushan, Afshin Azadikhah, Assad A. Oberai, Vinay A. Duddalwar
2020	J	`jnl`	Benchmarking features from different radiomics toolkits / toolboxes using Image Biomarkers Standardization Initiative. CoRR Mingxi Lei, Bino A. Varghese, Darryl Hwang, Steven Y. Cen, Xiaomeng Lei, Afshin Azadikhah, Desai Bhushan, Assad A. Oberai, Vinay A. Duddalwar
2020	J	`jnl`	Low Dose CT Perfusion With K-Space Weighted Image Average (KWIA). IEEE Trans. Medical Imaging Chenyang Zhao, Thomas Martin, Xingfeng Shao, Jeffry R. Alger, Vinay A. Duddalwar, Danny J. J. Wang
2020	—	`conf`	Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images. BCB Bino A. Varghese, Frank Chen, Darryl Hwang, Suzanne L. Palmer, Andre Luis De Castro Abreu, Osamu Ukimura, Monish Aron, Manju Aron, Inderbir S. Gill, Vinay A. Duddalwar, Gaurav Pandey
2020	J	`jnl`	Role of Edge Device and Cloud Machine Learning in Point-of-Care Solutions Using Imaging Diagnostics for Population Screening. CoRR Amit Kharat, Vinay A. Duddalwar, Krishna Saoji, Ashrika Gaikwad, Viraj Kulkarni, Gunjan Naik, Rohit Lokwani, Swaraj Kasliwal, Sudeep Kondal, Tanveer Gupte, Aniruddha Pant
2018	J	`jnl`	A Decision-Support Tool for Renal Mass Classification. J. Digit. Imaging Gautam Kunapuli, Bino A. Varghese, Priya Ganapathy, Desai Bhushan, Steven Y. Cen, Manju Aron, Inderbir S. Gill, Vinay A. Duddalwar
2018	J	`jnl`	EdgeRunner: a novel shape-based pipeline for tumours analysis and characterisation. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Fernando Yepes-Calderon, Darryl Hwang, Rebecca Johnson, Desai Bhushan, Niharika Gajawelli, Steven Y. Cen, Brian Quinn, Felix Yap, Inderbir S. Gill, Natasha Leporé, Vinay A. Duddalwar
2017	—	`conf`	NecroQuant: quantitative assessment of radiological necrosis. SIPAIM Darryl H. Hwang, Passant Mohamed, Bino A. Varghese, Steven Y. Cen, Vinay A. Duddalwar
2017	—	`conf`	Wavelets analysis for differentiating solid, non-macroscopic fat containing, enhancing renal masses: a pilot study. SIPAIM Bino A. Varghese, Darryl Hwang, Passant Mohamed, Steven Y. Cen, Christopher Deng, Michael Chang, Vinay A. Duddalwar
2016	—	`conf`	The 3D EdgeRunner Pipeline: a novel shape-based analysis for neoplasms characterization. Biomedical Applications in Molecular, Structural, and Functional Imaging Fernando Yepes-Calderon, Rebecca Johnson, Yi Lao, Darryl Hwang, Julie Coloigner, Felix Yap, Desai Bhushan, Phillip M. Cheng, Inderbir S. Gill, Vinay A. Duddalwar, Natasha Leporé
2013	J	`jnl`	Automated Pediatric Abdominal Effective Diameter Measurements Versus Age-Predicted Body Size for Normalization of CT Dose. J. Digit. Imaging Phillip M. Cheng, Linda A. Vachon, Vinay A. Duddalwar