NecroQuant: quantitative assessment of radiological necrosis. - Darryl H. Hwang; Passant Mohamed; Bino A. Varghese; Steven Y. Cen; Vinay A. Duddalwar (SIPAIM, 2017)

Brain cortical structural differences between non-central nervous system cancer patients treated with and without chemotherapy compared to non-cancer controls: a cross-sectional pilot MRI study using clinically indicated scans. - Mark S. Shiroishi; Vikash Gupta; Bavrina Bigjahan; Steven Y. Cen; Faisal Rashid; Darryl H. Hwang; Alexander Lerner; Orest B. Boyko; Chia-Shang Jason Liu; Meng Law; Paul M. Thompson; Neda Jahanshad (SIPAIM, 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 (SIPAIM, 2017)

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 S. Gill; Natasha Leporé; Vinay A. Duddalwar (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

A Decision-Support Tool for Renal Mass Classification. - Gautam Kunapuli; Bino A. Varghese; Priya Ganapathy; Desai Bhushan; Steven Y. Cen; Manju Aron; Inderbir S. Gill; Vinay A. Duddalwar (J. Digit. Imaging, 2018)

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)

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)

Breast Lesion Classification using Radiomics-derived Regions of Interest on Mammograms. - Shubham Arun Gujar; Xiaomeng Lei; Steven Y. Cen; Darryl H. Hwang; Bino A. Varghese (SIPAIM, 2023)

Pectoral Muscle Segmentation from Digital Mammograms Using a Transformative Approach. - Dhanush Jain Mahaveera; Shubham Arun Gujar; Steven Y. Cen; Xiaomeng Lei; Darryl H. Hwang; Bino A. Varghese (SIPAIM, 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 (SIPAIM, 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 (SIPAIM, 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 (SIPAIM, 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 (SIPAIM, 2023)

CEM Radiomics for Distinguishing Benign vs Malignant Lesions in Patients with Invasive Breast Cancer or Benign Breast Lesions. - 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 (SIPAIM, 2024)

Evaluation of Super Resolution Models for Generating Synthetic 3T T1W Images from 1.5T T1W Scans. - Sk Rahatul Jannat; Jeiran Choupan; Nasim Sheikh-Bahaei; Steven Y. Cen; Ketki Kinkar; Shubham Arun Gujar; Gaurav Pandey; Bino A. Varghese (SIPAIM, 2024)

Automated Detection and Segmentation of Breast Lesions in Contrast-Enhanced Mammograms. - Ketki Kinkar; Steven Y. Cen; Shubham Arun Gujar; Rahatul Jannat; Xiaomeng Lei; Jacquelyn Fields; Matthew Chang; Mariam Thomas; Mary Yamashita; Bino A. Varghese (SIPAIM, 2024)

Magnetic Resonance Imaging based Texture Analysis Predicts Conversion to Mild Cognitive Impairment and Alzheimer Disease. - Bino A. Varghese; Shubham Arun Gujar; Steven Yong Cen; Xiaomeng Lei; Darryl H. Hwang; Giuseppe Barisano; Nasim Sheikh-Bahaei (SIPAIM, 2024)

Systematic Approach to Identifying Sources of Variation in CT Radiomics: A Phantom Study. - Neha Yadav; Andrew Turangan; Huawei Han; Xiaomeng Lei; Darryl H. Hwang; Steven Y. Cen; Joshua Levy; Kristin Jensen; David J. Goodenough; Bino A. Varghese (SIPAIM, 2024)

Human AI collaboration for unsupervised categorization of live surgical feedback. - Rafal Kocielnik; Cherine H. Yang; Runzhuo Ma; Steven Y. Cen; Elyssa Y. Wong; Timothy N. Chu; J. Everett Knudsen; Peter Wager; John Heard; Umar Ghaffar; Anima Anandkumar; Andrew J. Hung (npj Digit. Medicine, 2024)