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07/21/2023
CortexMorph: fast cortical thickness estimation via diffeomorphic registration using VoxelMorph
The thickness of the cortical band is linked to various neurological and...
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03/10/2021
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient
In this study, we explore quantitative correlates of qualitative human e...
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12/11/2020
Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D networks with label uncertainty
The BraTS dataset contains a mixture of high-grade and low-grade gliomas...
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11/26/2019
ModelHub.AI: Dissemination Platform for Deep Learning Models
Recent advances in artificial intelligence research have led to a profus...
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04/05/2019
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence
The detection of new or enlarged white-matter lesions in multiple sclero...
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04/04/2019
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks
In applications of supervised learning applied to medical image segmenta...
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04/01/2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Quantification of cerebral white matter hyperintensities (WMH) of presum...
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01/22/2019
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks
Segmentation of both white matter lesions and deep grey matter structure...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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06/11/2018