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Towards broader generalization of deep learning methods for multiple sclerosis lesion segmentation
Recently, segmentation methods based on Convolutional Neural Networks (C...
12/14/2020 ∙ by Reda Abdellah Kamraoui, et al. ∙
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Deep correction of breathing-related artifacts in MR-thermometry
Real-time MR-imaging has been clinically adapted for monitoring thermal ...
11/10/2020 ∙ by Baudouin Denis de Senneville, et al. ∙
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RegQCNET: Deep Quality Control for Image-to-template Brain MRI Registration
Registration of one or several brain image(s) onto a common reference sp...
05/14/2020 ∙ by Baudouin Denis de Senneville, et al. ∙
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Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort
BACKGROUND:Automated volumetry software (AVS) has recently become widely...
03/19/2020 ∙ by Alexandre Morin, et al. ∙
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Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis of Deformation Fields in Huntington's Disease
The improvements in magnetic resonance imaging have led to the developme...
01/23/2020 ∙ by Kilian Hett, et al. ∙
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AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation
Whole brain segmentation using deep learning (DL) is a very challenging ...
11/20/2019 ∙ by Pierrick Coupé, et al. ∙
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Multi-scale Graph-based Grading for Alzheimer's Disease Prediction
The prediction of subjects with mild cognitive impairment (MCI) who will...
07/15/2019 ∙ by Kilian Hett, et al. ∙
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AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation
Whole brain segmentation using deep learning (DL) is a very challenging ...
06/05/2019 ∙ by Pierrick Coupé, et al. ∙
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SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches
Superpixels have become very popular in many computer vision application...
03/17/2019 ∙ by Remi Giraud, et al. ∙
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An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion
Automatic segmentation methods are important tools for quantitative anal...
03/17/2019 ∙ by Remi Giraud, et al. ∙
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Graph of brain structures grading for early detection of Alzheimer's disease
Alzheimer's disease is the most common dementia leading to an irreversib...
07/06/2018 ∙ by Kilian Hett, et al. ∙
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Non Local Spatial and Angular Matching : Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising
Diffusion magnetic resonance imaging datasets suffer from low Signal-to-...
06/23/2016 ∙ by Samuel St-Jean, et al. ∙
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