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06/16/2022
Longitudinal detection of new MS lesions using Deep Learning
The detection of new multiple sclerosis (MS) lesions is an important mar...
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09/13/2021
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring
Semi-supervised learning (SSL) uses unlabeled data to compensate for the...
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12/14/2020
Towards broader generalization of deep learning methods for multiple sclerosis lesion segmentation
Recently, segmentation methods based on Convolutional Neural Networks (C...
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05/14/2020
RegQCNET: Deep Quality Control for Image-to-template Brain MRI Registration
Registration of one or several brain image(s) onto a common reference sp...
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11/20/2019
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation
Whole brain segmentation using deep learning (DL) is a very challenging ...
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07/15/2019
Multi-scale Graph-based Grading for Alzheimer's Disease Prediction
The prediction of subjects with mild cognitive impairment (MCI) who will...
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06/05/2019
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation
Whole brain segmentation using deep learning (DL) is a very challenging ...
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03/17/2019