Didier Dormont
Orcid: 0000-0002-6080-1286
According to our database1,
Didier Dormont
authored at least 36 papers
between 2001 and 2024.
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Bibliography
2024
Contrast-enhanced to non-contrast-enhanced image translation to exploit a clinical data warehouse of T1-weighted brain MRI.
BMC Medical Imaging, December, 2024
Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data.
Medical Image Anal., 2024
Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation.
CoRR, 2024
2023
Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouse.
Medical Image Anal., October, 2023
Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data.
CoRR, 2023
Transfer learning from synthetic to routine clinical data for motion artefact detection in brain T1-weighted MRI.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Introducing soft topology constraints in deep learning-based segmentation using projected pooling loss.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Semi-supervised Domain Adaptation for Automatic Quality Control of FLAIR MRIs in a Clinical Data Warehouse.
Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023
2022
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse.
Medical Image Anal., 2022
Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI.
CoRR, 2022
ClinicaDL: An open-source deep learning software for reproducible neuroimaging processing.
Comput. Methods Programs Biomed., 2022
Homogenization of brain MRI from a clinical data warehouse using contrast-enhanced to non-contrast-enhanced image translation with U-Net derived models.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
MRI Field Strength Predicts Alzheimer's Disease: a Case Example of Bias in the ADNI Data Set.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review.
Medical Image Anal., 2021
2020
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation.
Medical Image Anal., 2020
Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort.
CoRR, 2020
Visualization approach to assess the robustness of neural networks for medical image classification.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
2017
Prediction of Amyloidosis from Neuropsychological and MRI Data for Cost Effective Inclusion of Pre-symptomatic Subjects in Clinical Trials.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
2015
2D harmonic filtering of MR phase images in multicenter clinical setting: Toward a magnetic signature of cerebral microbleeds.
NeuroImage, 2015
2014
Phase contrast MRI for discriminating brain microbleed in a multicentre clinical study.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014
2012
Automatic segmentation of white matter hyperintensities robust to multicentre acquisition and pathological variability.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
2011
Spatial regularization of SVM for the detection of diffusion alterations associated with stroke outcome.
Medical Image Anal., 2011
Automatic segmentation of age-related white matter changes on flair images: Method and multicentre validation.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Spatially Regularized SVM for the Detection of Brain Areas Associated with Stroke Outcome.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2008
Anatomy-Preserving Nonlinear Registration of Deep Brain ROIs Using Confidence-Based Block-Matching.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
2007
A three-dimensional, histological and deformable atlas of the human basal ganglia. I. Atlas construction based on immunohistochemical and MRI data.
NeuroImage, 2007
2006
Differentiation of sCJD and vCJD forms by automated analysis of basal ganglia intensity distribution in multisequence MRI of the brain-definition and evaluation of new MRI-based ratios.
IEEE Trans. Medical Imaging, 2006
2005
Diffusion tensor imaging in medial temporal lobe epilepsy with hippocampal sclerosis.
NeuroImage, 2005
New Ratios for the Detection and Classification of CJD in Multisequence MRI of the Brain.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Retrospective Cross-Evaluation of an Histological and Deformable 3D Atlas of the Basal Ganglia on Series of Parkinsonian Patients Treated by Deep Brain Stimulation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
2003
Comput. Vis. Image Underst., 2003
Patient-Specific Biomechanical Model of the Brain: Application to Parkinson's Disease Procedure.
Proceedings of the Surgery Simulation and Soft Tissue Modeling, International Symposium, 2003
2002
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002
A Posteriori Validation of Pre-operative Planning in Functional Neurosurgery by Quantification of Brain Pneumocephalus.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002
2001
Fusion of Histological Sections and MR Images: Towards the Construction of an Atlas of the Human Basal Ganglia.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001