Titlebook: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries; 5th International Wo Alessandro Crimi,Spyridon Bakas Conferen

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Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learningthods have primarily targeted non-pathologically-affected brains. Accordingly, they may perform suboptimally when applied on brain Magnetic Resonance Imaging (MRI) scans that have clearly discernible pathologies, such as brain tumors. Furthermore, existing methods focus on using only T1-weighted MRI

Ardent

Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomesetworks for the prediction of the follow-up tissue outcome in strokes are, however, not yet accurate enough or capable of properly modeling the growth mechanisms of ischaemic stroke..In our previous shape space interpolation approach, the prediction of the follow-up lesion shape has been bounded usi

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Optimization with Soft Dice Can Lead to a Volumetric Biaspare segmentation methods, the similarity between a segmentation and a predefined ground truth is measured using metrics such as the Dice score. Recent segmentation methods based on convolutional neural networks use a differentiable surrogate of the Dice score, such as soft Dice, explicitly as the l

ETHER

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