A Machine Learning Approach to Perfusion Imaging With Dynamic Susceptibility Contrast MR

by Richard McKinley, Fan Hung, Roland Wiest, David S. Liebeskind, Fabien Scalzo
Published 2018-09-01

Divide and Conquer: Stratifying Training Data by Tumor Grade Improves Deep Learning-Based Brain Tumor Segmentation

by Michael Rebsamen, Michael Rebsamen, Urspeter Knecht, Mauricio Reyes, Roland Wiest, Raphael Meier, Richard McKinley
Published 2019-11-01

A Fully Automated Pipeline for Normative Atrophy in Patients with Neurodegenerative Disease

by Christian Rummel, Fabian Aschwanden, Richard McKinley, Franca Wagner, Anke Salmen, Andrew Chan, Roland Wiest
Published 2018-01-01

Stroke Lesion Outcome Prediction Based on MRI Imaging Combined With Clinical Information

by Adriano Pinto, Adriano Pinto, Richard Mckinley, Victor Alves, Roland Wiest, Carlos A. Silva, Mauricio Reyes
Published 2018-12-01

Relating Acute Lesion Loads to Chronic Outcome in Ischemic Stroke–An Exploratory Comparison of Mismatch Patterns and Predictive Modeling

by Simon Habegger, Roland Wiest, Bruno J. Weder, Pasquale Mordasini, Jan Gralla, Levin Häni, Simon Jung, Simon Jung, Mauricio Reyes, Richard McKinley
Published 2018-09-01

Simultaneous lesion and brain segmentation in multiple sclerosis using deep neural networks

by Richard McKinley, Rik Wepfer, Fabian Aschwanden, Lorenz Grunder, Raphaela Muri, Christian Rummel, Rajeev Verma, Christian Weisstanner, Mauricio Reyes, Anke Salmen, Andrew Chan, Franca Wagner, Roland Wiest
Published 2021-01-01

Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence

by Richard McKinley, Rik Wepfer, Lorenz Grunder, Fabian Aschwanden, Tim Fischer, Christoph Friedli, Raphaela Muri, Christian Rummel, Rajeev Verma, Christian Weisstanner, Benedikt Wiestler, Christoph Berger, Paul Eichinger, Mark Muhlau, Mauricio Reyes, Anke Salmen, Andrew Chan, Roland Wiest, Franca Wagner
Published 2020-01-01

ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI

by Stefan Winzeck, Arsany Hakim, Richard McKinley, José A. A. D. S. R. Pinto, Victor Alves, Carlos Silva, Maxim Pisov, Maxim Pisov, Egor Krivov, Mikhail Belyaev, Miguel Monteiro, Arlindo Oliveira, Youngwon Choi, Myunghee Cho Paik, Yongchan Kwon, Hanbyul Lee, Beom Joon Kim, Joong-Ho Won, Mobarakol Islam, Hongliang Ren, David Robben, Paul Suetens, Enhao Gong, Yilin Niu, Junshen Xu, John M. Pauly, Christian Lucas, Mattias P. Heinrich, Luis C. Rivera, Laura S. Castillo, Laura A. Daza, Andrew L. Beers, Pablo Arbelaezs, Oskar Maier, Ken Chang, James M. Brown, Jayashree Kalpathy-Cramer, Greg Zaharchuk, Roland Wiest, Mauricio Reyes
Published 2018-09-01