| Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database R Cuingnet, E Gerardin, J Tessieras, G Auzias, S Lehéricy, MO Habert, ... Neuroimage 56 (2), 766-781, 2011 | 1221 | 2011 |
| Convolutional neural networks for classification of Alzheimer's disease: overview and reproducible evaluation J Wen, E Thibeau-Sutre, M Diaz-Melo, J Samper-González, A Routier, ... Medical image analysis 63, 101694, 2020 | 884 | 2020 |
| Support vector machine-based classification of Alzheimer’s disease from whole-brain anatomical MRI B Magnin, L Mesrob, S Kinkingnéhun, M Pélégrini-Issac, O Colliot, ... Neuroradiology 51 (2), 73-83, 2009 | 628 | 2009 |
| Early and protective microglial activation in Alzheimer’s disease: a prospective study using 18 F-DPA-714 PET imaging L Hamelin, J Lagarde, G Dorothée, C Leroy, M Labit, RA Comley, ... Brain 139 (4), 1252-1264, 2016 | 555 | 2016 |
| Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging E Gerardin, G Chételat, M Chupin, R Cuingnet, B Desgranges, HS Kim, ... Neuroimage 47 (4), 1476-1486, 2009 | 547 | 2009 |
| Subjective cognitive decline and rates of incident Alzheimer's disease and non–Alzheimer's disease dementia RER Slot, SAM Sikkes, J Berkhof, H Brodaty, R Buckley, E Cavedo, ... Alzheimer's & Dementia 15 (3), 465-476, 2019 | 462 | 2019 |
| Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI M Chupin, E Gérardin, R Cuingnet, C Boutet, L Lemieux, S Lehéricy, ... Hippocampus 19 (6), 579-587, 2009 | 450 | 2009 |
| Discrimination between Alzheimer Disease, Mild Cognitive Impairment, and Normal Aging by Using Automated Segmentation of the Hippocampus1 O Colliot, G Chételat, M Chupin, B Desgranges, B Magnin, H Benali, ... Radiology 248 (1), 194-201, 2008 | 435 | 2008 |
| 3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models H Khotanlou, O Colliot, J Atif, I Bloch Fuzzy sets and systems 160 (10), 1457-1473, 2009 | 379 | 2009 |
| Can voxel based morphometry, manual segmentation and automated segmentation equally detect hippocampal volume differences in acute depression? L Bergouignan, M Chupin, Y Czechowska, S Kinkingnéhun, C Lemogne, ... Neuroimage 45 (1), 29-37, 2009 | 316 | 2009 |
| Evaluating machine learning models and their diagnostic value G Varoquaux, O Colliot Machine Learning for Brain Disorders, 601-630, 2023 | 272 | 2023 |
| Structural connectivity differences in left and right temporal lobe epilepsy P Besson, V Dinkelacker, R Valabregue, L Thivard, X Leclerc, M Baulac, ... Neuroimage 100, 135-144, 2014 | 261 | 2014 |
| EEG evidence of compensatory mechanisms in preclinical Alzheimer’s disease S Gaubert, F Raimondo, M Houot, MC Corsi, L Naccache, J Diego Sitt, ... Brain 142 (7), 2096-2112, 2019 | 257 | 2019 |
| Cognitive and neuroimaging features and brain β-amyloidosis in individuals at risk of Alzheimer's disease (INSIGHT-preAD): a longitudinal observational study B Dubois, S Epelbaum, F Nyasse, H Bakardjian, G Gagliardi, ... The Lancet Neurology 17 (4), 335-346, 2018 | 249 | 2018 |
| Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data J Samper-González, N Burgos, S Bottani, S Fontanella, P Lu, A Marcoux, ... NeuroImage 183, 504-521, 2018 | 242 | 2018 |
| Automatic segmentation of the hippocampus and the amygdala driven by hybrid constraints: method and validation M Chupin, A Hammers, RSN Liu, O Colliot, J Burdett, E Bardinet, ... Neuroimage 46 (3), 749-761, 2009 | 236 | 2009 |
| The amnestic syndrome of hippocampal type in Alzheimer's disease: an MRI study M Sarazin, V Chauviré, E Gerardin, O Colliot, S Kinkingnéhun, ... Journal of Alzheimer’s disease 22 (1), 285-294, 2010 | 231 | 2010 |
| Integration of fuzzy spatial relations in deformable models—Application to brain MRI segmentation O Colliot, O Camara, I Bloch Pattern recognition 39 (8), 1401-1414, 2006 | 224 | 2006 |
| Distinct structural changes underpin clinical phenotypes in patients with Gilles de la Tourette syndrome Y Worbe, E Gerardin, A Hartmann, R Valabrégue, M Chupin, L Tremblay, ... Brain 133 (12), 3649-3660, 2010 | 212 | 2010 |
| Plasma amyloid β 40/42 ratio predicts cerebral amyloidosis in cognitively normal individuals at risk for Alzheimer's disease A Vergallo, L Mégret, S Lista, E Cavedo, H Zetterberg, K Blennow, ... Alzheimer's & Dementia 15 (6), 764-775, 2019 | 192 | 2019 |
Stephane LehericyProfessor in Neuroradiology, Sorbonne-UniversitéVerified email at sorbonne-universite.fr
