Search Results for author: Daniel S. Reich

Found 5 papers, 2 papers with code

Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis

no code implementations4 Mar 2021 Dzung L. Pham, Yi-Yu Chou, Blake E. Dewey, Daniel S. Reich, John A. Butman, Snehashis Roy

Deep learning approaches to the segmentation of magnetic resonance images have shown significant promise in automating the quantitative analysis of brain images.

Classification General Classification

Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI

no code implementations15 Aug 2020 Francesco La Rosa, Erin S Beck, Ahmed Abdulkadir, Jean-Philippe Thiran, Daniel S. Reich, Pascal Sati, Meritxell Bach Cuadra

The automated detection of cortical lesions (CLs) in patients with multiple sclerosis (MS) is a challenging task that, despite its clinical relevance, has received very little attention.

Lesion Detection

Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks

no code implementations24 Mar 2018 Snehashis Roy, John A. Butman, Daniel S. Reich, Peter A. Calabresi, Dzung L. Pham

In this paper, we propose a fully convolutional neural network (CNN) based method to segment white matter lesions from multi-contrast MR images.

Lesion Segmentation

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