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Bino A. Varghese
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2020 – today
- 2024
- [i2]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) - 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
Probabilistic medical image imputation via deep adversarial learning. Eng. Comput. 38(5): 3975-3986 (2022) - 2021
- [j2]Mingxi Lei
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
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
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
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