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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, 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
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last updated on 2024-10-07 01:14 CEST by the dblp team
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