Deep Gated Convolutional Neural Network for QSM Background Field Removal. - Juan Liu; Kevin M. Koch (MICCAI (3), 2019)

Non-locally Encoder-Decoder Convolutional Network for Whole Brain QSM Inversion. - Juan Liu; Kevin M. Koch (CoRR, 2019)

MRI Tissue Magnetism Quantification through Total Field Inversion with Deep Neural Networks. - Juan Liu; Kevin M. Koch (CoRR, 2019)

Model-Based Learning for Quantitative Susceptibility Mapping. - Juan Liu; Kevin M. Koch (MLMIR@MICCAI, 2020)

Weakly-Supervised Learning for Single-Step Quantitative Susceptibility Mapping. - Juan Liu; Kevin M. Koch (MLMIR@MICCAI, 2020)

Deep-learning based Tools for Automated Protocol Definition of Advanced Diagnostic Imaging Exams. - Andrew S. Nencka; Mohammad Sherafati; Timothy Goebel; Parag Tolat; Kevin M. Koch (CoRR, 2021)

Value CMR: Towards a Comprehensive, Rapid, Cost-Effective Cardiovascular Magnetic Resonance Imaging. - El-Sayed H. Ibrahim; Luba Frank; Dhiraj Baruah; Volkan Emre Arpinar; Andrew S. Nencka; Kevin M. Koch; Lutfi Tugan Muftuler; Orhan Unal; Jadranka Stojanovska; Jason C. Rubenstein; Sherry-Ann Brown; John Charlson; et al. (Int. J. Biomed. Imaging, 2021)

On Functional Activations in Deep Neural Networks. - Andrew S. Nencka; Lutfi Tugan Muftuler; Peter S. LaViolette; Kevin M. Koch (CoRR, 2023)

Kinematics of Single-Plane and Multiplanar Tasks in Adults with Asymptomatic and Symptomatic Wrists. - Anthony V. Nguyen; Alyssa J. Schnorenberg; Sergey S. Tarima; Kevin M. Koch; Brooke A. Slavens (EMBC, 2024)

Variable Resolution Sampling and Deep Learning Image Recovery for Accelerated Multi-Spectral MRI Near Metal Implants. - Azadeh Sharafi; Nikolai J. Mickevicius; Mehran Baboli; Andrew S. Nencka; Kevin M. Koch (CoRR, 2024)