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Didier Dormont

for The Alzheimer's Disease Neuroimaging Initiative, APPRIMAGE Study Group

SMILE-UHURA Challenge -- Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms

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Nov 14, 2024
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Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation

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Jun 18, 2024
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Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data

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Feb 25, 2023
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Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI

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Nov 02, 2022
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Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse

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Apr 16, 2021
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Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort

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Mar 19, 2020
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Visualization approach to assess the robustness of neural networks for medical image classification

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Dec 23, 2019
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