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Titlebook: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries; Third International Alessandro Crimi,Spyridon Bakas,Mauricio

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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain InjuriesThird International
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Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials Multiple Sclerosis (MS), assisting in the estimation of lesion volume, a common clinical measure of disease activity and stage. In the context of clinical trials, however, a wider number of metrics are required to determine the “burden of disease” and activity in order to measure treatment efficacy
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Automated Segmentation of Multiple Sclerosis Lesions Using Multi-dimensional Gated Recurrent Unitse pathologic structures is not trivial, since location, shape and size can be arbitrary. Furthermore, the inherent class imbalance of about 1 lesion voxel to 10 000 healthy voxels further exacerbates the correct segmentation. We introduce a new MD-GRU setup, using established techniques from the dee
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Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentationoint intensity fusion (JIF). JIF synthesizes an image from a library of deformably registered and intensity normalized atlases. Each location in the synthesized image is a weighted average of the registered atlases; atlas weights vary spatially. The weights are determined using the joint label fusio
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