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Olivier Colliot

Showing results (21-30 of 131) with videos related to

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Neuroimage|December 14, 2011
Automatic hippocampal segmentation in temporal lobe epilepsy: impact of developmental abnormalitiesHosung Kim, Marie Chupin, Olivier Colliot, et al.
Medical Image Analysis|July 31, 2023
Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouseSimona Bottani, Ninon Burgos, Aurélien Maire, et al.
Medical Image Analysis|November 13, 2021
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouseSimona Bottani, Ninon Burgos, Aurélien Maire, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Spatially regularized SVM for the detection of brain areas associated with stroke outcomeRémi Cuingnet, Charlotte Rosso, Stéphane Lehéricy, et al.
Medical Image Analysis|January 4, 2024
Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic dataSophie Loizillon, Simona Bottani, Aurélien Maire, et al.
Neuroradiology|July 27, 2011
Tissue at risk in the deep middle cerebral artery territory is critical to stroke outcomeCharlotte Rosso, Olivier Colliot, Romain Valabrègue, et al.
Medical Image Analysis|September 10, 2019
Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosisWen Wei, Emilie Poirion, Benedetta Bodini, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 2, 2019
Fluid-attenuated inversion recovery MRI synthesis from multisequence MRI using three-dimensional fully convolutional networks for multiple sclerosisWen Wei, Emilie Poirion, Benedetta Bodini, et al.
Network Neuroscience (Cambridge, Mass.)|June 30, 2021
Stepwise target controllability identifies dysregulations of macrophage networks in multiple sclerosisGiulia Bassignana, Jennifer Fransson, Vincent Henry, et al.
IEEE Open Journal of Engineering in Medicine and Biology|July 11, 2022
Machine Learning-Based Prediction of Impulse Control Disorders in Parkinson's Disease From Clinical and Genetic DataJohann Faouzi, Samir Bekadar, Fanny Artaud, et al.
Pageof 14

Showing results (21-30 of 131) with videos related to

Sort By:
Pageof 14
Neuroimage|December 14, 2011
Automatic hippocampal segmentation in temporal lobe epilepsy: impact of developmental abnormalitiesHosung Kim, Marie Chupin, Olivier Colliot, et al.
Medical Image Analysis|July 31, 2023
Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouseSimona Bottani, Ninon Burgos, Aurélien Maire, et al.
Medical Image Analysis|November 13, 2021
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouseSimona Bottani, Ninon Burgos, Aurélien Maire, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Spatially regularized SVM for the detection of brain areas associated with stroke outcomeRémi Cuingnet, Charlotte Rosso, Stéphane Lehéricy, et al.
Medical Image Analysis|January 4, 2024
Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic dataSophie Loizillon, Simona Bottani, Aurélien Maire, et al.
Neuroradiology|July 27, 2011
Tissue at risk in the deep middle cerebral artery territory is critical to stroke outcomeCharlotte Rosso, Olivier Colliot, Romain Valabrègue, et al.
Medical Image Analysis|September 10, 2019
Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosisWen Wei, Emilie Poirion, Benedetta Bodini, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 2, 2019
Fluid-attenuated inversion recovery MRI synthesis from multisequence MRI using three-dimensional fully convolutional networks for multiple sclerosisWen Wei, Emilie Poirion, Benedetta Bodini, et al.
Network Neuroscience (Cambridge, Mass.)|June 30, 2021
Stepwise target controllability identifies dysregulations of macrophage networks in multiple sclerosisGiulia Bassignana, Jennifer Fransson, Vincent Henry, et al.
IEEE Open Journal of Engineering in Medicine and Biology|July 11, 2022
Machine Learning-Based Prediction of Impulse Control Disorders in Parkinson's Disease From Clinical and Genetic DataJohann Faouzi, Samir Bekadar, Fanny Artaud, et al.
Pageof 14