most citedBrain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution

1 citations · 1 across the 1 of their papers we have counts for

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eess.IV2020★ 1 cited

Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution

Theophraste Henry, Alexandre Carre, Marvin Lerousseau +4

Brain tumor segmentation is a critical task for patient's disease management. In order to automate and standardize this task, we trained multiple U-net like neural networks, mainly…

cs.CV2020

Deep learning based registration using spatial gradients and noisy segmentation labels

Théo Estienne, Maria Vakalopoulou, Enzo Battistella +6

Image registration is one of the most challenging problems in medical image analysis. In the recent years, deep learning based approaches became quite popular, providing fast and p…