N-acetyl-aspartate levels correlate with intra-axonal compartment parameters from diffusion MRI. - Elan J. Grossman; Ivan I. Kirov; Oded Gonen; Dmitry S. Novikov; Matthew S. Davitz; Yvonne W. Lui; Robert I. Grossman; Matilde Inglese; Els Fieremans (NeuroImage, 2015)

A Machine Learning Approach For Identifying Patients with Mild Traumatic Brain Injury Using Diffusion MRI Modeling. - Shervin Minaee; Yao Wang 001; Sohae Chung; Xiuyuan Wang 001; Els Fieremans; Steven Flanagan 001; Joseph Rath; Yvonne W. Lui (CoRR, 2017)

Identifying Mild Traumatic Brain Injury Patients From MR Images Using Bag of Visual Words. - Shervin Minaee; Siyun Wang; Yao Wang 001; Sohae Chung; Xiuyuan Wang 001; Els Fieremans; Steven Flanagan 001; Joseph Rath; Yvonne W. Lui (CoRR, 2017)

A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI. - Shervin Minaee; Yao Wang 001; Anna Choromanska; Sohae Chung; Xiuyuan Wang 001; Els Fieremans; Steven Flanagan 001; Joseph Rath; Yvonne W. Lui (EMBC, 2018)

Biophysically interpretable recurrent neural network for functional magnetic resonance imaging analysis and sparsity based causal architecture discovery. - Yuan Wang; Yao Wang 001; Yvonne W. Lui (EMBC, 2018)

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. - Jure Zbontar; Florian Knoll; Anuroop Sriram; Matthew J. Muckley; Mary Bruno; Aaron Defazio; Marc Parente; Krzysztof J. Geras; Joe Katsnelson; Hersh Chandarana; Zizhao Zhang; Michal Drozdzal; et al. (CoRR, 2018)

Generalized Recurrent Neural Network accommodating Dynamic Causal Modeling for functional MRI analysis. - Yuan Wang; Yao Wang 001; Yvonne W. Lui (NeuroImage, 2018)

Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method. - Tongda Xu; Xiyan Cai; Yao Wang 001; Xiuyuan Wang 001; Sohae Chung; Els Fieremans; Joseph Rath; Steven Flanagan 001; Yvonne W. Lui (CoRR, 2019)

DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation. - Aakash Kaku; Chaitra V. Hegde; Jeffrey Huang; Sohae Chung; Xiuyuan Wang 001; Matthew Young; Alireza Radmanesh; Yvonne W. Lui; Narges Razavian (CoRR, 2019)

MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features. - Shervin Minaee; Yao Wang 001; Alp Aygar; Sohae Chung; Xiuyuan Wang 001; Yvonne W. Lui; Els Fieremans; Steven Flanagan 001; Joseph Rath (IEEE Trans. Medical Imaging, 2019)

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. - Farah E. Shamout; Yiqiu Shen; Nan Wu; Aakash Kaku; Jungkyu Park 001; Taro Makino; Stanislaw Jastrzebski; Duo Wang; Ben Zhang; Siddhant Dogra; Meng Cao; Narges Razavian; et al. (CoRR, 2020)

The Transformation of Patient-Clinician Relationships With AI-Based Medical Advice: A "Bring Your Own Algorithm" Era in Healthcare. - Oded Nov; Yindalon Aphinyanaphongs; Yvonne W. Lui; Devin M. Mann; Maurizio Porfiri; Mark O. Riedl; John-Ross Rizzo; Batia Mishan Wiesenfeld (CoRR, 2020)

State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge. - Matthew J. Muckley; Bruno Riemenschneider; Alireza Radmanesh; Sunwoo Kim; Geunu Jeong; Jingyu Ko; Yohan Jun; Hyungseob Shin; Dosik Hwang; Mahmoud Mostapha; Simon Arberet; Dominik Nickel; et al. (CoRR, 2020)

Effect of intravoxel incoherent motion on diffusion parameters in normal brain. - Casey Vieni; Benjamin Ades-aron; Bettina Conti; Eric E. Sigmund; Peter Riviello; Timothy M. Shepherd; Yvonne W. Lui; Dmitry S. Novikov; Els Fieremans (NeuroImage, 2020)

Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans. - Nguyen P. Nguyen; Youngjin Yoo; Andrei Chekkoury; Eva Eibenberger; Thomas J. Re; Jyotipriya Das; Abishek Balachandran; Yvonne W. Lui; Pina C. Sanelli; Thomas J. Schroeppel; Uttam Bodanapally; Savvas Nicolaou; et al. (ICCVW, 2021)

The transformation of patient-clinician relationships with AI-based medical advice. - Oded Nov; Yindalon Aphinyanaphongs; Yvonne W. Lui; Devin M. Mann; Maurizio Porfiri; Mark O. Riedl; John-Ross Rizzo; Batia Mishan Wiesenfeld (Commun. ACM, 2021)

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data. - Ruiyang Zhao; Burhaneddin Yaman; Yuxin Zhang; Russell Stewart; Austin Dixon; Florian Knoll; Zhengnan Huang; Yvonne W. Lui; Michael S. Hansen; Matthew P. Lungren (CoRR, 2021)

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. - Farah E. Shamout; Yiqiu Shen; Nan Wu; Aakash Kaku; Jungkyu Park 001; Taro Makino; Stanislaw Jastrzebski; Jan Witowski; Duo Wang; Ben Zhang; Siddhant Dogra; Meng Cao; et al. (npj Digit. Medicine, 2021)

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. - Matthew J. Muckley; Bruno Riemenschneider; Alireza Radmanesh; Sunwoo Kim; Geunu Jeong; Jingyu Ko; Yohan Jun; Hyungseob Shin; Dosik Hwang; Mahmoud Mostapha; Simon Arberet; Dominik Nickel; et al. (IEEE Trans. Medical Imaging, 2021)

FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging. - Radhika Tibrewala; Tarun Dutt; Angela Tong; Luke Ginocchio; Mahesh Bharath Keerthivasan; Steven H. Baete; Sumit Chopra; Yvonne W. Lui; Daniel K. Sodickson; Hersh Chandarana; Patricia M. Johnson (CoRR, 2023)

fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI. - Eddy Solomon; Patricia M. Johnson; Zhengguo Tan; Radhika Tibrewala; Yvonne W. Lui; Florian Knoll; Linda Moy; Sungheon Gene Kim; Laura Heacock (CoRR, 2024)

A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage. - Youngjin Yoo; Bogdan Georgescu; Yanbo Zhang; Sasa Grbic; Han Liu; Gabriela D. Aldea; Thomas J. Re; Jyotipriya Das; Poikavila Ullaskrishnan; Eva Eibenberger; Andrei Chekkoury; Uttam Bodanapally; et al. (CoRR, 2025)