Kevin M. Koch

According to our database, Kevin M. Koch authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

On Functional Activations in Deep Neural Networks.

Andrew S. Nencka, Lutfi Tugan Muftuler, Peter S. LaViolette, Kevin M. Koch

CoRR, 2023

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, Elizabeth M. Gore, Carmen Bergom

Int. J. Biomed. Imaging, 2021

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

2020

Weakly-Supervised Learning for Single-Step Quantitative Susceptibility Mapping.

Juan Liu, Kevin M. Koch

Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

Model-Based Learning for Quantitative Susceptibility Mapping.

Juan Liu, Kevin M. Koch

Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

2019

MRI Tissue Magnetism Quantification through Total Field Inversion with Deep Neural Networks.

Juan Liu, Kevin M. Koch

CoRR, 2019

Non-locally Encoder-Decoder Convolutional Network for Whole Brain QSM Inversion.

Juan Liu, Kevin M. Koch

CoRR, 2019

Deep Gated Convolutional Neural Network for QSM Background Field Removal.

Juan Liu, Kevin M. Koch

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019