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ORCIDBino A. Varghese
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2020 – today
- 2024
[c15]Jacquelyn Fields, Steven Y. Cen, Xiaomeng Lei, Matthew Chang, Ketki Kinkar, Shubham Arun Gujar, Sandy Lee, Linda H. Larsen, Mary Yamashita, Darryl H. Hwang, Mariam Thomas, Bino A. Varghese:
CEM Radiomics for Distinguishing Benign vs Malignant Lesions in Patients with Invasive Breast Cancer or Benign Breast Lesions. SIPAIM 2024: 1-8- [c14]Sk Rahatul Jannat, Jeiran Choupan, Nasim Sheikh-Bahaei, Steven Y. Cen, Ketki Kinkar, Shubham Arun Gujar, Gaurav Pandey, Bino A. Varghese:
Evaluation of Super Resolution Models for Generating Synthetic 3T T1W Images from 1.5T T1W Scans. SIPAIM 2024: 1-6 - [c13]Ketki Kinkar, Steven Y. Cen, Shubham Arun Gujar, Rahatul Jannat, Xiaomeng Lei, Jacquelyn Fields, Matthew Chang, Mariam Thomas, Mary Yamashita, Bino A. Varghese:
Automated Detection and Segmentation of Breast Lesions in Contrast-Enhanced Mammograms. SIPAIM 2024: 1-5 - [c12]Katharine Sweetland, Vinay A. Duddalwar, Bino A. Varghese, Darryl H. Hwang:
Investigating the Effects of Computed Tomography Reconstruction Settings from Multiple Scanners on IBSI Compliant Radiomic Features. SIPAIM 2024: 1-21 - [c11]Bino A. Varghese, Shubham Arun Gujar, Steven Yong Cen, Xiaomeng Lei, Darryl H. Hwang, Giuseppe Barisano, Nasim Sheikh-Bahaei:
Magnetic Resonance Imaging based Texture Analysis Predicts Conversion to Mild Cognitive Impairment and Alzheimer Disease. SIPAIM 2024: 1-7 - [c10]Neha Yadav, Andrew Turangan, Huawei Han, Xiaomeng Lei, Darryl H. Hwang, Steven Y. Cen, Joshua Levy, Kristin Jensen, David J. Goodenough, Bino A. Varghese:
Systematic Approach to Identifying Sources of Variation in CT Radiomics: A Phantom Study. SIPAIM 2024: 1-4 - [i3]Haoyu Lan, Bino A. Varghese, Nasim Sheikh-Bahaei, Farshid Sepehrband, Arthur W. Toga, Jeiran Choupan:
Diffusion based multi-domain neuroimaging harmonization method with preservation of anatomical details. CoRR abs/2409.00807 (2024) - [i2]Aviad Susman, Rupak Krishnamurthy, Yan Chak Li, Mohammad Al Olaimat, Serdar Bozdag, Bino A. Varghese, Nasim Sheikh-Bahaei, Gaurav Pandey:
Longitudinal Ensemble Integration for sequential classification with multimodal data. CoRR abs/2411.05983 (2024) - 2023
- [c9]Shubham Arun Gujar, Xiaomeng Lei, Steven Y. Cen, Darryl H. Hwang, Bino A. Varghese:
Breast Lesion Classification using Radiomics-derived Regions of Interest on Mammograms. SIPAIM 2023: 1-5 - [c8]Dhanush Jain Mahaveera, Shubham Arun Gujar, Steven Y. Cen, Xiaomeng Lei, Darryl H. Hwang, Bino A. Varghese:
Pectoral Muscle Segmentation from Digital Mammograms Using a Transformative Approach. SIPAIM 2023: 1-5 - [c7]Hesam Setayesh, Kunyu Li, Shubham Arun Gujar, Xiaomeng Lei, Vinay A. Duddalwar, Steven Y. Cen, Darryl H. Hwang, Bino A. Varghese:
Image Perturbation Analysis to Study the Effect of Noise on Radiomics Metrics: Phantom Study. SIPAIM 2023: 1-5 - [c6]Katharine Sweetland, Karen Chu, Xiaomeng Lei, Steven Y. Cen, Vinay A. Duddalwar, Darryl H. Hwang, Bino A. Varghese:
Characterizing International Biomarker Standardization Initiative Image Features using Brodatz Textures. SIPAIM 2023: 1-5 - [c5]Katharine Sweetland, Karen Chu, Xiaomeng Lei, Steven Y. Cen, Vinay A. Duddalwar, Bino A. Varghese, Darryl H. Hwang:
Effects of Reconstruction Filter Kernels in Computed Tomography on Radiomic Image Features. SIPAIM 2023: 1-5 - [c4]Yixing Wu, Alexander Shieh, Steven Y. Cen, Bino A. Varghese, Darryl H. Hwang, William Wallace, C.-C. Jay Kuo, Vinay A. Duddalwar:
Discriminant Radiomic Feature Selection for PD-L1 Prediction in Clear Cell Renal Cell Carcinoma. SIPAIM 2023: 1-5 - 2022
- [j3]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:
Probabilistic medical image imputation via deep adversarial learning. Eng. Comput. 38(5): 3975-3986 (2022) - 2021
- [j2]Mingxi Lei, Bino A. Varghese, Darryl Hwang, Steven Y. Cen, Xiaomeng Lei, Desai Bhushan, Afshin Azadikhah, Assad A. Oberai, Vinay A. Duddalwar:
Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis. J. Digit. Imaging 34(5): 1156-1170 (2021) - 2020
- [c3]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:
Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images. BCB 2020: 22:1-22:10 - [i1]Mingxi Lei, Bino A. Varghese, Darryl Hwang, Steven Y. Cen, Xiaomeng Lei, Afshin Azadikhah, Desai Bhushan, Assad A. Oberai, Vinay A. Duddalwar:
Benchmarking features from different radiomics toolkits / toolboxes using Image Biomarkers Standardization Initiative. CoRR abs/2006.12761 (2020)
2010 – 2019
- 2018
- [j1]Gautam Kunapuli, Bino A. Varghese, Priya Ganapathy, Desai Bhushan, Steven Y. Cen, Manju Aron, Inderbir S. Gill, Vinay A. Duddalwar:
A Decision-Support Tool for Renal Mass Classification. J. Digit. Imaging 31(6): 929-939 (2018) - 2017
- [c2]Bino A. Varghese, Darryl Hwang, Passant Mohamed, Steven Y. Cen, Christopher Deng, Michael Chang, Vinay A. Duddalwar:
Wavelets analysis for differentiating solid, non-macroscopic fat containing, enhancing renal masses: a pilot study. SIPAIM 2017: 105720T - [c1]Darryl H. Hwang, Passant Mohamed, Bino A. Varghese, Steven Y. Cen, Vinay A. Duddalwar:
NecroQuant: quantitative assessment of radiological necrosis. SIPAIM 2017: 105721I
Coauthor Index
aka: Steven Yong Cen
aka: Darryl H. Hwang
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