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20172019
most citedImproving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach

15 citations · 15 across the 2 of their papers we have counts for

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cs.CV2019

Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET

Mostafa Salem, Sergi Valverde, Mariano Cabezas +5

In this paper, we propose generating synthetic multiple sclerosis (MS) lesions on MRI images with the final aim to improve the performance of supervised machine learning algorithms…