Tom Brosch

Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

Tom Brosch, Lisa Tang, Youngjin Yoo et al. · IEEE Transactions on Medical Imaging · 2016 · 468 citations

Computing, Computer Science, Neurology +17

Manifold Learning of Brain MRIs by Deep Learning

Tom Brosch, Roger Tam · Lecture notes in computer science · 2013 · 225 citations

Medicine, Neuroscience, Radiology +13

Spinal cord grey matter segmentation challenge

Ferrán Prados, John Ashburner, Claudia Blaiotta et al. · NeuroImage · 2017 · 152 citations · Full text

Medicine, Anatomy, Neuroscience +14

Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls

Youngjin Yoo, Lisa Tang, Tom Brosch et al. · NeuroImage Clinical · 2017 · 97 citations · Full text

Medicine, Neuroscience, Radiology +17

Efficient Training of Convolutional Deep Belief Networks in the Frequency Domain for Application to High-Resolution 2D and 3D Images

Tom Brosch, Roger Tam · Neural Computation · 2014 · 58 citations

Computing, Computer Science, Computer Vision +12