Steven Y. Cen

According to our database, Steven Y. Cen authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

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

Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 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

Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 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

Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 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

Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024

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

Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024

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

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 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

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 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

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 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

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 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

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

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

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

2021

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

2020

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

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

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

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

Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 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

Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

NecroQuant: quantitative assessment of radiological necrosis.

Darryl H. Hwang, Passant Mohamed, Bino A. Varghese, Steven Y. Cen, Vinay A. Duddalwar

Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017