Découvrez nos professeurs et professeures!

Simon Duchesne

Professeur titulaire

simon.duchesne@fmed.ulaval.ca

Département de radiologie

Centre thématique de recherche en neurosciences

Centre de recherche CERVO

Centre de recherche en données massives

Centre de recherche de l'IUCPQ

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Contribution à la recherche

Thématiques de recherche de la Faculté de médecine

Bioinformatique / données massives (big data)
Neurosciences et santé mentale
Santé des populations et pratiques optimales en santé
Transfert des connaissances

Domaines de recherche

Radiologie, médecine nucléaire et imagerie médicale
Neurodégénérescence
Déterminants biologiques et sociaux du vieillissement
Processus de vieillissement
Neurosciences computationnelles
Intelligence artificielle, n.c.a.

Projets de recherche en cours

Équipe Camelia: pour des soins et services innovants et bienveillants en hébergement de longue durée - Fonds de recherche du Québec - Société et culture - Soutien aux équipes de recherche, co-chercheur - 2025-04-01 au 2029-03-31
Neuroimaging : Image Acquisition, Quality Control, Analysis, and Dissemination - Instituts de recherche en santé du Canada - Subvention d'équipe : Consortium canadien en neurodégénérescence associée au vieillissement (CCNV) – phase III : équipes de recherche, Baycrest Academy for Research and Education, co-chercheur - 2024-04-01 au 2029-03-31
Consortium pour l’identification précoce de la maladie d’Alzheimer (CIMA-Q) : renforcer l’intersectorialité, le rayonnement et le potentiel de découverte. - Fonds de recherche du Québec - Santé - Plateforme de financements de la recherche intersectorielle sur le vieillissement, co-chercheur - 2024-04-01 au 2028-03-31
Union Neurosciences et Intelligence Artificielle - Québec (UNIQUE) - Université Laval - Fonds internes, Fonds de recherche du Québec - Nature et technologies - Regroupements stratégiques NT, Université de Montréal, co-chercheur - 2022-04-01 au 2028-03-31
Health Research Training to Address Vascular Contributions to Cognitive Decline: the Vascular Training (VAST) Platform - Instituts de recherche en santé du Canada - Projet de Plateforme de formation en recherche en santé, University of Calgary, co-chercheur - 2022-01-01 au 2027-12-31
Équipe FQRNT pour l'avancement des modèles computationels de la santé cérébrale - Fonds de recherche du Québec - Nature et technologies - Projet de recherche en équipe, chercheur principal - 2024-04-01 au 2027-03-31
Preclinical safety, pharmacokinetics, pharmacodynamics, and efficiency of microRNA oligonucleotides for Alzheimer's disease - Instituts de recherche en santé du Canada - Subvention Projet, co-chercheur - 2022-04-01 au 2027-03-31
Computational neuroscience modelling of cognitively healthy aging and Alzheimer's disease - Instituts de recherche en santé du Canada - Subvention Projet, chercheur principal - 2022-04-01 au 2026-03-31
Le rôle de l'informatique quantique pour la résolution des problèmes de haute dimensionnalité dans les modèles computationnels cérébraux - Ministère des Relations internationales et de la Francophonie - Appel à projets Québec - Pays basque 2024-2025, chercheur principal - 2024-09-24 au 2025-09-30
Integrating Multi-Omics, Multi-Modal Neuroimaging and Artificial intelligence for Biologically-defined Staging and Statification in the Alzheimer's Disease spectrum - Instituts de recherche en santé du Canada - Subvention Projet, McGill University, co-chercheur - 2020-10-01 au 2025-09-03
Deep Learning segmentation of cellular tumor from multishell diffusion MRI - Radiological Society of North America - Research Seed Grant, co-chercheur - 2024-07-01 au 2025-06-30

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Financements des 2 dernières années

Brain Health Model and Simulator - Conseil de recherches en sciences naturelles et génie Canada - Subventions à la découverte SD (individuelles et d'équipe), chercheur principal - 2019-04-01 au 2025-03-31
Explaining activation changes during the early stages of Alzheimer's disease and promoting processes of compensation and brain plasticity - Instituts de recherche en santé du Canada - Subventions Fondation, Université de Montréal, co-chercheur - 2017-07-01 au 2024-06-30
Platform 3: Image Acquisition and Quality Control - Instituts de recherche en santé du Canada - Projet subsidiaire d'un consortium (pour fins de gestion au VRRCI), University of Toronto, co-chercheur - 2019-04-01 au 2024-03-31
Observatoire international sur les impacts sociétaux de l'intelligence artificielle et du numérique - Fonds de recherche du Québec - Société et culture, Université Laval - Fonds internes - Appel à propositions : création d’un Observatoire international sur les impacts sociétaux de l’intelligence artificielle et du numérique, co-chercheur - 2018-04-01 au 2024-03-31
DeepBrain: Approches par apprentissage profond pour la prédiction du fardeau cérébro-vasculaire - Ministère des Relations internationales et de la Francophonie - Coopération bilatérale Québec-Pays basque 2023-2024, chercheur principal - 2023-04-01 au 2024-03-31
Phase Two of the Canadian Consortium on Neurodegeneration in Aging - Société Alzheimer du Canada, Centre for Aging + Brain Health Innovation, Saskatchewan Health Research Foundation, Hypertension Canada, Instituts de recherche en santé du Canada, Fondation des infirmières et infirmiers du Canada, Brain Canada Foundation, Fondation de la recherche en santé du Nouveau-Brunswick - Consortium canadien en neurodégénérescence et vieillissement (CCNV), University of Toronto, co-chercheur - 2019-04-01 au 2024-03-31
Bourse RBIQ – Lyna ABROUGUI - Fonds de recherche du Québec - Santé - Réseaux thématiques de recherche, McGill University, co-chercheur - 2023-09-01 au 2024-03-31
Impacts of exercise and cognitive training interventions on neurocognitive functions in older adults with cardiovascular risk factors - Instituts de recherche en santé du Canada - Subvention Projet, Université de Montréal, co-chercheur - 2018-10-01 au 2023-09-30
Une infrastructure IA multi-usagers clé en main pour gérer le cycle de vie complet des données en santé - Université Laval - Fonds internes - BDR - Cas spéciaux et obligations institutionnelles, chercheur principal - 2021-04-01 au 2021-11-30
Télé-NEUROS (Nouvel Environnement Universitaire de Recherche Orchestrée en Santé mentale et cognitive: une télé initiative) - CIUSSS - CN - CIRRIS, Université Laval - Fonds internes, CIUSSS - CN - CERVO, co-chercheur - 2020-10-20 au 2021-03-31

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Publications

White matter hyperintensities mediate the impact of amyloid ß on future freezing of gait in Parkinson's disease, Richard Camicioli, Simon Duchesne, Janis Miyasaki, Mahsa Dadar, Parkinsonism & Related Disorders, 2021, 10.1016/j.parkreldis.2021.02.031
Identifying Episodes of Hypovigilance in Intensive Care Units Using Routine Physiological Parameters and Artificial Intelligence: a Derivation Study (Preprint), Patrick M. Archambault, Simon Duchesne, Philippe Després, Alexandre Marois, Tanya S. Paul, William Witteman, Monia Noël-Hunter, Victor Niaussat, Raphaëlle Giguère, 2024, 10.2196/preprints.60885
3-D analysis of cortical morphometry in differential diagnosis of parkinson's plus syndromes: mapping frontal lobe cortical atrophy in progressive supranuclear palsy patients, , International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2007), 2007, 10.1007/978-3-540-75759-7_108
A new MRI rating scale for progressive supranuclear palsy and multiple system atrophy: Validity and reliability, Leigh, P.N., Bensimon, G., Ludolph, A.C., Dormont, D., Delmaire, C., Defevbre, L., Deasy, N., Jarosz, J., Hauser, T.K., Kraft, E., Duchesne, S., Payan, C.A., Vérin, M., Rolland, Y., Journal of Neurology, Neurosurgery and Psychiatry, 2011, 10.1136/jnnp.2010.214890
Normative data for subcortical regional volumes over the lifetime of the adult human brain, Alzheimer's Dis Neuroimaging Initi, Duchesne, Simon, Dieumegarde, Louis, Mouiha, Abderazzak, Potvin, Olivier, Neuroimage, 2016, 10.1016/j.neuroimage.2016.05.016
Brain atrophy and patch-based grading in individuals from the CIMA-Q study: a progressive continuum from subjective cognitive decline to AD, Duchesne, S., Rheault, S., Collins, D.L., Potvin, O., Marcotte, C., Scientific Reports, 2019, 10.1038/s41598-019-49914-3
High-Dimensional Medial Lobe Morphometry: An Automated MRI Biomarker for the New AD Diagnostic Criteria, Robitaille, N., Mouiha, A., Valdivia, F., Duchesne, S., International Journal of Alzheimer's Disease, 2015, 10.1155/2014/278096
Voxel-based morphometry meta-analysis of gray and white matter finds significant areas of differences in bipolar patients from healthy controls, Duchesne, S., Ganzola, R., Bipolar Disorders, 2017, 10.1111/bdi.12488
EADC-ADNI Benchmark Images for Harmonized Hippocampal Segmentation, Frisoni, Giovanni, Jack, Clifford, Duchesne, Simon, Robitaille, Nicolas, Pasqualetti, Patrizio, Wolf, Dominik, Preboske, Gregory, Ganzola, Rossana, Apostolova, Liana, Bocchetta, Martina, Boccardi, Marina, Neurology, 2013
The Consortium for the early identification of Alzheimer's disease–Quebec (CIMA-Q), Villalpando, J.M., Verret, L., Dang Vu, T.T., Soucy, J.-P., Philips, N., Marie-Jeanne-Kergoat, C.H., Cunnane, S., Collins, L., Chertkow, H., Bocti, C., Bellec, P., Gauthier, S., Duchesne, S., Mechawar, N., Leclerc, N., Hudon, C., Hébert, S.S., Gaudreau, P., Calon, F., Kergoat, M.-J., LeBlanc, A.C., Belleville, S., Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, 2019, 10.1016/j.dadm.2019.07.003
Grid computing application for brain magnetic resonance image processing, Duchesne, S., Crépeault, B., Valdivia, F., Journal of Physics: Conference Series, 2012, 10.1088/1742-6596/341/1/012011
MRI-based automated computer classification of probable AD versus normal controls, Collins, D. Louis, Frisoni, Giovanni B., Barillot, Christian, Geroldi, C., Caroli, Anna, Duchesne, Simon, Ieee Transactions on Medical Imaging, 2008, 10.1109/TMI.2007.908685
Special Issue on MICCAI 2017, Duchesne, S., Collins, D.L., Jannin, P., Franz, A., Maier-Hein, L., Descoteaux, M., Medical Image Analysis, 2018, 10.1016/j.media.2018.07.005
Braak neurofibrillary tangle staging prediction from in vivo MRI metrics, Duchesne, S., Saikali, S., Dieumegarde, L., Potvin, O., Beheshti, I., Dallaire-Théroux, C., Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, 2019, 10.1016/j.dadm.2019.07.001
Redefining ultrasound appearance criteria of positive axillary lymph nodes, Duchesne, S, Florack, P, Jaffey, J, Duchesne, N, Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes, 2005
Test-retest reliability of a new medial temporal atrophy morphological metric, Robitaille, N., Mouiha, A., Valdivia, F., Duchesne, S., International Journal of Alzheimer's Disease, 2012, 10.1155/2012/979804
Survey of protocols for the manual segmentation of the hippocampus: Preparatory steps towards a joint EADC-ADNI harmonized protocol, Frisoni, G.B., Jack Jr., C.R., Duchesne, S., Watson, C., Soininen, H., Pruessner, J.C., Pantel, J., Lehéricy, S., Killiany, R.J., Detoledo-Morrell, L., De Leon, M.J., Csernansky, J.G., Camicioli, R., Bartzokis, G., Redolfi, A., Pievani, M., Bocchetta, M., Ganzola, R., Boccardi, M., Journal of Alzheimer's Disease, 2011, 10.3233/JAD-2011-0004
Temporal lobe epilepsy lateralization based on MR image intensity and registration features, , International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2003), 2003, 10.1007/978-3-540-39899-8_46
Histopathological assessment and staging of large and small vessel disease associated with normal brain aging: Human neuropathology / vascular, , AAIC - Alzheimer's Association International Conference, 2020, 10.1002/alz.044067
Harmonized benchmark labels of the hippocampus on magnetic resonance: The EADC-ADNI project, Wang, L., Soininen, H., Pruessner, J.C., Malykhin, N., Killiany, R.J., Henneman, W., Gerritsen, L., Firbank, M., Fellgiebel, A., Detoledo-Morrell, L., Decarli, C., Bartzokis, G., Frisoni, G.B., Jack, C.R., Duchesne, S., Robitaille, N., Pasqualetti, P., Ferrari, C., Wolf, D., Preboske, G., Apostolova, L.G., Ganzola, R., Boccardi, M., Bocchetta, M., Alzheimer's and Dementia, 2015, 10.1016/j.jalz.2013.12.019
Structural neuroimaging of concomitant depressive symptoms in amnestic mild cognitive impairment: a pilot study., Hudon, Carol, Duchesne, Simon, Pietrantonio, Sandra, Mouiha, Abderazzak, Morin, Jean-Francois, Dementia and geriatric cognitive disorders extra, 2012, 10.1159/000345234
Links between metabolic and structural changes in the brain of cognitively normal older adults: A 4-year longitudinal follow-up, Cunnane, S.C., Duchesne, S., Potvin, O., Dionne, I.J., Turcotte, É.E., Fülöp, T., Lepage, M., Paquet, N., Tremblay, S., Nugent, S., Vandenberghe, C., St-Pierre, V., Fortier, M., Croteau, E., Hudon, C., Castellano, C.-A., Frontiers in Aging Neuroscience, 2019, 10.3389/fnagi.2019.00015
Comprehensive Morphometric Cortical/Subcortical Normative Data: Freesurfer Atlases Comparison, , AAIC - Alzheimer's Imaging Consortium Conference, 2017, 10.1016/j.jalz.2017.06.1057
Association Between Cerebellar Volumes and Cognitive Functioning, , Alzheimer’s Disease and Associated Disorders, 2019, 10.1097/WAD.0000000000000327
When the left brain's away, the right will play - Emergent artistic proficiency in primary progressive apraxia of speech, Laforce, Robert, Jr., Duchesne, Simon, Potvin, Olivier, Verret, Louis, Bergeron, David, Cortex, 2016, 10.1016/j.cortex.2015.11.022
The impact of automated hippocampal volumetry on diagnostic confidence in patients with suspected Alzheimer's disease: A European Alzheimer's Disease Consortium study, Frisoni, G.B., Zekry, D., Yener, G.G., Tsolaki, M., Popovic, K.S., Stefanova, E., Spiru, L., Sotolongo-Grau, O., Santana, I., Salmon, E., Picco, A., Paraskevas, G.P., Pelini, L., O'Dwyer, S., Ntovas, K., Nobili, F., Niemantsverdriet, E., Morais, R., Molinuevo, J.L., Mecocci, P., Marinescu, M., Mandic Stojmenovic, G., Lawlor, B., Kramberger, M.G., Grosu, G., Grimmer, T., Engelborghs, S., Emek-Savaş, D.D., Bougea, A., Bastin, C., Balasa, M., Assal, F., Alegret, M., Wolz, R., Sensi, F., Roche, A., Maréchal, B., Duchesne, S., Collins, D.L., Chincarini, A., Austin, M., Galluzzi, S., Mega, A., Ferrari, C., Bocchetta, M., Redolfi, A., Bosco, P., Alzheimer's and Dementia, 2017, 10.1016/j.jalz.2017.01.019
Drivers with Amnestic Mild Cognitive Impairment Can Benefit from a Multiple-Session Driving Simulator Automated Training Program., Hudon, Carol, Duchesne, Simon, Bherer, Louis, Germain Robitaille, Mathieu, Laurendeau, Denis, Moszkowicz, Thierry, Hudon, Lisa, Simoneau, Martin, Teasdale, Normand, Journal of the American Geriatrics Society, 2016, 10.1111/jgs.14219
On the classification of temporal lobe epilepsy using MR image appearance, Collins, D.L., Bernasconi, A., Duchesne, S., Bernasconi, N., Proceedings - International Conference on Pattern Recognition, 2002
HOXA1 A218G polymorphism is associated with smaller cerebellar volume in healthy humans: Experimental laboratory research, Frisoni, G.B., Binetti, G., Testa, C., Duchesne, S., Benussi, L., Boccardi, M., Ghidoni, R., Canu, E., Journal of Neuroimaging, 2009, 10.1111/j.1552-6569.2008.00326.x
The Canadian Dementia Imaging Protocol: Harmonization validity for morphometry measurements, Duchesne, S., Black, S.E., Strother, S.C., Smith, E.E., Scott, C.J.M., Ramirez, J., Hoge, R., Descoteaux, M., Collins, D.L., Bellec, P., Bartha, R., Dieumegarde, L., Chouinard, I., Potvin, O., NeuroImage: Clinical, 2019, 10.1016/j.nicl.2019.101943
Associating Type 2 Diabetes Risk Factor Genes and FDG-PET Brain Metabolism in Normal Aging and Alzheimer’s Disease, Duchesne, S., Chen, T.-H., Cunnane, S.C., Potvin, O., Nugent, S., Frontiers in Aging Neuroscience, 2020, 10.3389/fnagi.2020.580633
Assessment of adolescent body perception: Development and characterization of a novel tool for morphing images of adolescent bodies, Paus, Tomas, Duchesne, Simon, Aleong, Rosanne, Behavior Research Methods, 2007, 10.3758/BF03193037
The temporal relationships between white matter hyperintensities, neurodegeneration, amyloid beta, and cognition, Collins, D.L., Duchesne, S., Camicioli, R., Dadar, M., Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, 2020, 10.1002/dad2.12091
Computer-aided differential diagnosis in movement disorders using MRI morphometry, Barillot, C., Verin, M., Roland, Y., Duchesne, S., Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2007, 10.1117/12.710841
Relating one-year cognitive change in mild cognitive impairment to baseline MRI features, Frisoni, Giovanni B., Collins, D. Louis, Geroldi, Cristina, Duchesne, Simon, Caroli, Anna, Neuroimage, 2009, 10.1016/j.neuroimage.2009.04.023
When the Wedding March becomes sad: Semantic memory impairment for music in the semantic variant of primary progressive aphasia, Monetta, L., Duchesne, S., Potvin, O., Gravel, P., Hudon, C., Laforce, R., Wilson, M.A., Berubé-Lalancette, S., Macoir, J., Neurocase, 2016, 10.1080/13554794.2016.1257025
Predicting Episodes of Hypovigilance in Intensive Care Units Using Routine Physiological Parameters and Artificial Intelligence : a Derivation study (Preprint), Patrick M. Archambault, Simon Duchesne, Philippe Després, Alexandre Marois, Tanya S. Paul, William Witteman, Monia Noël-Hunter, Victor Niaussat, Raphaëlle Giguère, JMIR AI, 2024, 10.2196/60885
Towards a Dynamic Biomarker Model in Alzheimer's Disease, Alzheimer's Dis Neuroimaging, Duchesne, Simon, Mouiha, Abderazzak, Journal of Alzheimers Disease, 2012, 10.3233/JAD-2012-111367
Appearance-based segmentation of medial temporal lobe structures, Collins, D.L., Pruessner, J.C., Duchesne, S., NeuroImage, 2002, 10.1016/S1053-8119(02)91188-2
Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, , Springer, 2017, 10.1007/978-3-319-66179-7
Corrigendum to: “FreeSurfer subcortical normative data” [Data in Brief 9 (2016) 732–736] (FreeSurfer subcortical normative data (2016) 9 (732–736), (S235234091630628X), (10.1016/j.dib.2016.10.001)), Duchesne, S., Dieumegarde, L., Mouiha, A., Potvin, O., Data in Brief, 2019, 10.1016/j.dib.2019.103704
Hippocampus and amygdala volumes in children and young adults at high-risk of schizophrenia: Research synthesis, Duchesne, S., Maziade, M., Ganzola, R., Schizophrenia Research, 2014, 10.1016/j.schres.2014.03.030
Preoperative brain shift: Study of three surgical cases - art. no. 691818, , Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, Pts 1 and 2 - Proceedings of SPIE, 2008, 10.1117/12.772634
A novel ex vivo, in situ method to study the human brain through MRI and histology, Bronchti, G., Boire, D., Tardif, C.L., Duchesne, S., Plante, S., Pellerin, J., Frigon, E.-M., Bertrand-Grenier, A., Dadar, M., Maranzano, J., Journal of Neuroscience Methods, 2020, 10.1016/j.jneumeth.2020.108903
FreeSurfer subcortical normative data, Duchesne, S., Dieumegarde, L., Mouiha, A., Potvin, O., Data in Brief, 2016, 10.1016/j.dib.2016.10.001
Gray and white matter damage are associated with motor symptoms in Parkinson’s disease: Neuroimaging: Other neurodegenerative disorders, , AAIC - Alzheimer's Association International Conference, 2020, 10.1002/alz.041174
Quantitative evaluation of Alzheimer's disease, Frisoni, G.B., Duchesne, S., Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2009, 10.1117/12.810804
Temporal Lobe Atrophy In MCI Adults With Or Without Depressive Symptoms And In Patients With Late-Life Depression, , Alzheimer's Imaging Consortium Conference, 2017, 10.1016/j.jalz.2017.06.1584
Dynamic Individual Prediction of Conversion from Mild Cognitive Impairment to Probable Alzheimer’s Disease using Joint Modeling, Simon Duchesne, Olivier Potvin, Abderazzak Mouiha, 2024, 10.1101/2024.07.15.24310224
Training labels for hippocampal segmentation based on the EADC-ADNI harmonized hippocampal protocol, Frisoni, G.B., Jack, C.R., Duchesne, S., Teipel, S., Matsuda, H., Fellgiebel, A., Antelmi, L., Pievani, M., Redolfi, A., Wolf, D., Nishikawa, M., Ganzola, R., Grothe, M.J., Collins, D.L., Morency, F.C., Bocchetta, M., Boccardi, M., Alzheimer's and Dementia, 2015, 10.1016/j.jalz.2014.12.002
Presence Of Task-Related Hyperactivation In Persons With Subjective Cognitive Decline: Evidence From The CIMA-Q Cohort, , AAIC - Alzheimer's Association International Conference, 2018, 10.1016/j.jalz.2018.06.1734
Association Between Genetic Variants In AD Risk Factors And Conversion From MCI And AD, , Alzheimer's Imaging Consortium Conference, 2017, 10.1016/j.jalz.2017.06.1316
Harmonizing brain magnetic resonance imaging methods for vascular contributions to neurodegeneration, Wardlaw, J.M., Dichgans, M., Werring, D., Viswanathan, A., van Rooden, S., van Osch, M., van Oostenbrugge, R., Swartz, R.H., Steketee, R.M.E., Sourbron, S., Sharma, M., Seshadri, S., Scott, C.J.M., Sachdev, P.S., Rost, N.S., Ropele, S., Romero, J.R., Reijmer, Y.D., Ramirez, J., Pike, G.B., Pantoni, L., Mok, V.C.T., McCreary, C.R., Linn, J., Launer, L.J., Lam, B.Y.K., Job, D., Ingrisch, M., Gurol, M.E., Greenberg, S.M., DeCarli, C., Corriveau, R., Chen, C., Black, S.E., Ballerini, L., Backes, W.H., Adams, H., Vernooij, M.W., Thrippleton, M.J., MacIntosh, B.J., Jouvent, E., Ikram, M.A., Frayne, R., Düring, M., Duchesne, S., de Leeuw, F.E., De Guio, F., Biessels, G.J., Smith, E.E., Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, 2019, 10.1016/j.dadm.2019.01.002
Manual segmentation qualification platform for the EADC-ADNI harmonized protocol for hippocampal segmentation project, Frisoni, G.B., Jack, C.R., Boccardi, M., Wolf, D., Preboske, G., Ganzola, R., Apostolova, L.G., Bocchetta, M., Valdivia, F.A., Mouiha, A., Robitaille, N., Valdivia, F., Duchesne, S., Alzheimer's and Dementia, 2015, 10.1016/j.jalz.2015.01.002
Corrigendum to ‘Normative data for subcortical regional volumes over the lifetime of the adult human brain’ [NeuroImage 137 (2016) 9–20] (NeuroImage (2016) 137 (9–20), (S1053811916301355) (10.1016/j.neuroimage.2016.05.016)), Duchesne, S., Dieumegarde, L., Mouiha, A., Potvin, O., NeuroImage, 2018, 10.1016/j.neuroimage.2018.09.020
Automated Computer Differential Classification in Parkinsonian Syndromes via Pattern Analysis on MRI, Vérin, M., Rolland, Y., Duchesne, S., Academic Radiology, 2009, 10.1016/j.acra.2008.05.024
Morphological factor estimation via high-dimensional reduction: Prediction of MCI conversion to probable AD, Mouiha, A., Duchesne, S., International Journal of Alzheimer's Disease, 2011, 10.4061/2011/914085
The comprehensive assessment of neurodegeneration and dementia: Canadian cohort study, Rylett, R.J., MacKenzie, I., Duchesne, S., Dixon, R.A., MacNamara, E., Phillips, N.A., Poirier, J., Pilon, R., Mohaddes, Z., Das, S., Evans, A., Best, S., Lindsay, J., Fogarty, J., Smith, E.E., Camicioli, R., Hsiung, G.-Y.R., Andrew, M., Tierney, M.C., Rockwood, K., McGilton, K., Masellis, M., Hogan, D.B., Gauthier, S., Feldman, H.H., Black, S.E., Whitehead, V., Borrie, M., Chertkow, H., Canadian Journal of Neurological Sciences, 2019, 10.1017/cjn.2019.27
The Canadian Dementia Imaging Protocol: Harmonizing National Cohorts, Black, S.E., Strother, S.C., Smith, E.E., Scott, C.J.M., Ramirez, J., McCreary, C.R., Hoge, R., Descoteaux, M., Collins, D.L., Bellec, P., Bartha, R., Khademi, A., Fonov, V.S., Potvin, O., Chouinard, I., Duchesne, S., Journal of Magnetic Resonance Imaging, 2019, 10.1002/jmri.26197
Études d’imagerie métabolique liant les facteurs de risque génétique du diabète de type 2 au déclin cognitif vers la maladie d’Alzheimer, , Déclin cognitif, obésité, diabète et autres troubles métaboliques, 2020
Hippocampal atrophy rates in Alzheimer's disease: Automated segmentation variability analysis, Duchesne, S., Mouiha, A., Neuroscience Letters, 2011, 10.1016/j.neulet.2011.02.065
Detecting Early Preclinical Alzheimer's Disease via Cognition, Neuropsychiatry, and Neuroimaging: Qualitative Review and Recommendations for Testing, CIMA-Q Grp, Hudon, Carol, Collins, D. Louis, Duchesne, Simon, Fouquet, Celine, Belleville, Sylvie, Journal of Alzheimers Disease, 2014, 10.3233/JAD-141470
The Temporal Relationships between White Matter Hyperintensities, Neurodegeneration, Amyloid β, and Cognition, D. Louis Collins, Mahsa Dadar, Richard Camicioli, Simon Duchesne, 2020, 10.1101/2020.05.27.119586
A quadratic function of activation in individuals at risk of Alzheimer's disease, , Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 2020, 10.1002/dad2.12139
A novel patch-based procedure for estimating brain age across adulthood, Duchesne, S., Dieumegarde, L., Potvin, O., Gravel, P., Beheshti, I., NeuroImage, 2019, 10.1016/j.neuroimage.2019.05.025
Baseline Differences In Brain Morphometry And Image Grading Of Individuals On The Continuum From Subjective Cognitive Decline To AD: Results from the CIMA-Q Study, , AAIC - Alzheimer's Association International Conference, 2018, 10.1016/j.jalz.2018.06.1736
Antemortem Longitudinal Mri Metrics As A Biomarker Of Postmortem Braak NFT Staging, , AAIC - Alzheimer's Association International Conference, 2018, 10.1016/j.jalz.2018.06.2057
Whole-brain voxel-based statistical analysis of gray alter and white matter in temporal lobe epilepsy, Bernasconi, A, Collins, DL, Lerch, J, Janke, A, Duchesne, S, Bernasconi, N, Neuroimage, 2004, 10.1016/j.neuroimage.2004.06.015
Ketogenic Medium Chain Triglycerides Increase Brain Energy Metabolism in Alzheimer's Disease, Cunnane, S.C., Fülöp, T., Bocti, C., Turcotte, É.E., Whittingstall, K., Duchesne, S., Lepage, M., Nugent, S., Fortier, M., Richard, M.A., Castellano, C.-A., Croteau, E., Journal of Alzheimer's Disease, 2018, 10.3233/JAD-180202
Establishing Magnetic Resonance Images Orientation for the EADC-ADNI Manual Hippocampal Segmentation Protocol, Frisoni, G.B., Jack, C.R., Duchesne, S., Collins, L.D., Pasqualetti, P., Robitaille, N., Preboske, G., Apostolova, L.G., Bocchetta, M., Boccardi, M., Journal of Neuroimaging, 2014, 10.1111/jon.12065
Appearance-based segmentation of medial temporal lobe structures, Collins, DL, Pruessner, JC, Duchesne, S, Neuroimage, 2002, 10.1006/nimg.2002.1188
Faster progression from MCI to probable AD for carriers of a single-nucleotide polymorphism associated with type 2 diabetes, Duchesne, S., Cunnane, S., Dallaire-Théroux, C., Nugent, S., Potvin, O., Girard, H., Neurobiology of Aging, 2018, 10.1016/j.neurobiolaging.2017.11.013
Amnestic MCI future clinical status prediction using baseline MRI features, Collins, D. Louis, Chertkow, Howard, Frisoni, Giovanni B., De Sousa, Kathy, Bocti, Christian, Duchesne, Simon, Neurobiology of Aging, 2010, 10.1016/j.neurobiolaging.2008.09.003
Trajectory analyses of morphometric imaging measures provide novel insights into the dynamics of brain aging as moderated by sex and APOE, , AAIC - Alzheimer’s Association International Conference, 2019, 10.1016/j.jalz.2019.06.936
Steps to standardization and validation of hippocampal volumetry as a biomarker in clinical trials and diagnostic criterion for Alzheimer's disease, Foster, Norman L., Weiner, Michael, Thompson, Paul M., Suhy, Joyce, Sperling, Reisa, Schwarz, Adam J., Scheltens, Philip, Mangin, Jean-Francois, Johnson, Keith, Hill, Derek L. G., Hampel, Harald, Frisoni, Giovanni B., Fox, Nick C., Duchesne, Simon, Dubois, Bruno, DeCarli, Charles, Cole, Patricia E., Bernstein, Matt A., Cantillon, Marc, Barkhof, Frederik, Jack, Clifford R., Jr., Alzheimers & Dementia, 2011, 10.1016/j.jalz.2011.04.007
Tissue-based MRI intensity standardization: application to multicentric datasets., The Alzheimer's Disease Neuroimaging Initiative, Duchesne, Simon, Valdivia, Fernando, Crepeault, Burt, Mouiha, Abderazzak, Robitaille, Nicolas, International journal of biomedical imaging, 2012, 10.1155/2012/347120
Measurement Variability following MRI system upgrade, , Frontiers in Neurology, 2019, 10.3389/fneur.2019.00726
Temporal lobe epilepsy surgical outcome prediction, , International Conference on Medical Image Computing and Computer-Assisted Intervention, 2004, 10.1007/978-3-540-30136-3_85
Older adults with mild cognitive impairments show less driving errors after a multiple sessions simulator training program but do not exhibit long term retention, Hudon, C., Duchesne, S., Bherer, L., Laurendeau, D., Moszkowicz, T., Robitaille, M.G., Hudon, L., Simoneau, M., Teasdale, N., Frontiers in Human Neuroscience, 2016, 10.3389/fnhum.2016.00653
Single time point high-dimensional morphometry in Alzheimer's disease: Group statistics on longitudinally acquired data, Robitaille, N., Mouiha, A., Valdivia, F., Duchesne, S., Neurobiology of Aging, 2015, 10.1016/j.neurobiolaging.2014.06.031
P4‐251:Similarities between the cognitive profil of individuals with subjective cognitive decline and that of persons with mild cognitive imparement: a study from de CIMA-Q cohort, , (AAIC) Alzheimer's Association International Conference , 2019, 10.1016/j.jalz.2019.06.3920
Stem Cell-Derived Neurons as Cellular Models of Sporadic Alzheimer's Disease, LeBlanc, A.C., Duchesne, S., Belleville, S., Kergoat, M.-J., Potvin, O., Rainone, S., Hébert, S.S., Correia, A.S., Foveau, B., Journal of Alzheimer's Disease, 2019, 10.3233/JAD-180833
Evidence of a relation between hippocampal volume, white matter hyperintensities, and cognition in subjective cognitive decline and mild cognitive impairment, Belleville, S., Phillips, N., Mellah, S., Maltezos, S., Gagnon, J.-F., Lorrain, D., Duchesne, S., Brambati, S., Boller, B., Hudon, C., Caillaud, M., Journals of Gerontology - Series B Psychological Sciences and Social Sciences, 2020, 10.1093/geronb/gbz120
Normative morphometric data for cerebral cortical areas over the lifetime of the adult human brain, Duchesne, S., Dieumegarde, L., Potvin, O., NeuroImage, 2017, 10.1016/j.neuroimage.2017.05.019
FDG-PET Normative Data in Cognitively Healthy Aging, , AAIC - Alzheimer’s Association International Conference, 2019, 10.1016/j.jalz.2019.06.4227
Proposing a manuscript peer-review checklist, Jannin, Pierre, Duchesne, Simon, Neuroimage, 2008, 10.1016/j.neuroimage.2007.09.065
Guest editorial for the IJCARS special issue on MICCAI 2017, Duchesne, S., Collins, L.D., Jannin, P., Franz, A., Maier-Hein, L., Descoteaux, M., International Journal of Computer Assisted Radiology and Surgery, 2018, 10.1007/s11548-018-1847-y
Predicting Alzheimer's disease development: A comparison of cognitive criteria and associated neuroimaging biomarkers, Black, S.E., Duchesne, S., Berezuk, C., Ramirez, J., Callahan, B.L., Alzheimer's Research and Therapy, 2015, 10.1186/s13195-015-0152-z
Freesurfer cortical normative data for adults using Desikan-Killiany-Tourville and ex vivo protocols, Duchesne, S., Dieumegarde, L., Potvin, O., NeuroImage, 2017, 10.1016/j.neuroimage.2017.04.035
Validation of an Magnetic Resonance Imaging Acquisition and Review Protocol for Alzheimer's Disease and Related Disorders, Duchesne, S., Brisson, M., Bouchard, L.-O., Potvin, O., Asselin, A., Canadian Association of Radiologists Journal, 2019, 10.1016/j.carj.2018.10.008
Delphi definition of the EADC-ADNI harmonized protocol for hippocampal segmentation on magnetic resonance, Frisoni, G.B., Jack, C.R., Duchesne, S., Duvernoy, H., Wolf, H., Watson, C., Wang, L., Tolomeo, D., Soininen, H., Robitaille, N., Redolfi, A., Pruessner, J.C., Pasqualetti, P., Malykhin, N., Killiany, R.J., Henneman, W., Gerritsen, L., Ganzola, R., Firbank, M., Detoledo-Morrell, L., Decarli, C., Corbetta, G., Bartzokis, G., Barnes, J., Apostolova, L.G., Bocchetta, M., Boccardi, M., Alzheimer's and Dementia, 2015, 10.1016/j.jalz.2014.02.009
The relationship between brain markers of neurodegeneration and cognition in persons with subjective cognitive decline: a study from the CIMA-Q cohort, , Alzheimer's Association International Conference, 2018, 10.1016/j.jalz.2018.06.2492
Selection of the optimal intensity normalization region for FDG-PET studies of normal aging and Alzheimer’s disease, Duchesne, S., Cunnane, S.C., Dieumegarde, L., Castellano, C.-A., Potvin, O., Croteau, E., Nugent, S., Scientific Reports, 2020, 10.1038/s41598-020-65957-3
The EADC-ADNI harmonized protocol for manual hippocampal segmentation on magnetic resonance: Evidence of validity, Winblad, B., Weiner, M.W., Wahlund, L.-O., Visser, P.-J., Thompson, P.M., Simmons, A., Sachdev, P., Mueller, S., Maller, J.J., Launer, L., Jagust, W., Hock, C., Denheijer, T., Hampel, H., Dubois, B., Collins, D.L., Camicioli, R., Bennet, D., Albert, M.S., Boccardi, M., Duvernoy, H., Duchesne, S., Pasqualetti, P., Bosco, P., Ferrari, C., Pantel, J., Deleon, M., Wolf, H., Watsonl, C., Wang, L., Pruessner, J.C., Malykhin, N., Henneman, W., Gerritsen, L., Firbank, M., Barnes, J., Fellgiebel, A., Waldemar, G., Teipel, S., Scheltens, P., Soininen, H., Silbert, L.C., O'Brien, J., Matsuda, H., Lehericy, S., Killiany, R.J., Kaye, J., Geerlings, M.I., Detoledo-Morrell, L., Csernansky, J.G., DeCarli, C., Bartzokis, G., Barkhof, F., Wolf, D., Ganzola, R., Apostolova, L.G., Ward, C., Stoub, T., Portegies, M., Nishikawa, M., Martinez, O., Lanfredi, M., Grothe, M.J., Cavedo, E., Blair, M., Swihart, T., Preboske, G., Liu, Y., Frederiksen, K.S., Bauer, C., Bocchetta, M., Jack, C.R., Frisoni, G.B., Alzheimer's and Dementia, 2015, 10.1016/j.jalz.2014.05.1756
Radiological-Pathological Correlation in Alzheimer's Disease: Systematic Review of Antemortem Magnetic Resonance Imaging Findings, Duchesne, S., Saikali, S., Potvin, O., Callahan, B.L., Dallaire-Théroux, C., Journal of Alzheimer's disease : JAD, 2017, 10.3233/JAD-161028
Manual segmentation certification platform For the EADC-ADNI Harmonized Protocol for Hippocampal Volumetry Project, , 2013 Ieee International Symposium on Medical Measurements and Applications Proceedings (Memea), 2013, 10.1109/MeMeA.2013.6549701
White matter hyperintensities, gray matter atrophy and cognitive deficits in Parkinson’s disease: Neuroimaging/Optimal neuroimaging measures for tracking disease progression, , AAIC - Alzheimer's Association International Conference, 2020, 10.1002/alz.041161
Appearance-based modelling and segmentation of the hippocampus from MR images, Collins, D.L., Pruessner, J.C., Duchesne, S., Annual Reports of the Research Reactor Institute, Kyoto University, 2001
Reliability assessment of tissue classification algorithms for multi-center and multi-scanner data, Duchesne, S., Dadar, M., NeuroImage, 2020, 10.1016/j.neuroimage.2020.116928
Diffusion tensor imaging correlates of early markers of depression in youth at high-familial risk for bipolar disorder, Whalley, H.C., Duchesne, S., Sussmann, J., Macdonald, A., Giles, S., Bastin, M.E., Sprooten, E., Nickson, T., McIntosh, A.M., Ganzola, R., Journal of Child Psychology and Psychiatry and Allied Disciplines, 2018, 10.1111/jcpp.12879
The Midbrain Is The Optimal Intensity Normalization Region For FEDG-PET Studies Of Normal Aging, , AAIC - Alzheimer's Association International Conference, 2018
MR-based neurological disease classification methodology: Application to lateralization of seizure focus in temporal lobe epilepsy, Collins, DL, Bernasconi, A, Bernasconi, N, Duchesne, S, Neuroimage, 2006, 10.1016/j.neuroimage.2005.07.052
Label fusion strategy selection, Duchesne, S., Robitaille, N., International Journal of Biomedical Imaging, 2012, 10.1155/2012/431095
Multivariate consistency of resting-state fMRI connectivity maps acquired on a single individual over 2.5 years, 13 sites and 3 vendors, Bellec, P., Duchesne, S., Potvin, O., Vogel, J., Chouinard, I., Urchs, S., Orban, P., Collin-Verreault, Y., Badhwar, A., NeuroImage, 2020, 10.1016/j.neuroimage.2019.116210
Temporal Lobe Activation Moderates The Detrimental Effect Of Hippocampal Atrophy On Episodic Memory And Contributes To Cognitive Reserve: Results From The CIMA-Qcohort, , AAIC - Alzheimer's Association International Conference, 2018, 10.1016/j.jalz.2018.06.1693
Delphi Consensus on Landmarks for the Manual Segmentation of the Hippocampus on MRI: Preliminary Results from the EADC-ADNI Harmonized Protocol Working Group, Frisoni, Giovanni, Jack, Clifford, Duchesne, Simon, Wolf, Henrike, Watson, Craig, Wang, Lei, Tolomeo, Daniele, Soininen, Hilkka, Robitaille, Nicolas, Redolfi, Alberto, Pruessner, Jens, Pasqualetti, Patrizio, Malykhin, Nikolai, Killiany, Ronald, Henneman, Wouter, Gerritsen, Lotte, Ganzola, Rossana, Firbank, Michael, DeToledo-Morrell, Leyla, DeCarli, Charles, Corbetta, Gabriele, Bartzokis, George, Barnes, Josephine, Apostolova, Liana, Bocchetta, Martina, Boccardi, Marina, Neurology, 2012
Survey of protocols for the manual segmentation of the hippocampus: Preparatory steps towards a joint EADC-ADNI harmonized protocol, , Handbook of Imaging the Alzheimer Brain, 2011, 10.3233/978-1-60750-793-2-111
General Overview And Early Neuroanatomical Findings In SCD, , Alzheimer's Imaging Consortium Conference, 2017, 10.1016/j.jalz.2017.06.2032
Knowledge-Based Discrimination in Alzheimer's Disease, , 1st MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support, 2010, 10.1007/978-3-642-11769-5_9
Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme, Duchesne, S., Potvin, O., Nugent, S., Beheshti, I., NeuroImage: Clinical, 2019, 10.1016/j.nicl.2019.102063
White Matter Damage in the Semantic Variant of Primary Progressive Aphasia, Duchesne, S., Laforce, R., Wilson, M.A., Bouchard, L.-O., Canadian Journal of Neurological Sciences, 2019, 10.1017/cjn.2019.37
White Matter Hyperintensities in Mild Cognitive Impairment and Lower Risk of Cognitive Decline, Bocti, C., Duchesne, S., Mouiha, A., Nolze-Charron, G., Journal of Alzheimer's Disease, 2015, 10.3233/JAD-140618
On the classification of temporal lobe epilepsy using MR image appearance, , 16th International Conference on Pattern Recognition, Vol I, Proceedings, 2002, 10.1109/ICPR.2002.1044784
Patch-wise brain age longitudinal reliability, Duchesne, S., Potvin, O., Beheshti, I., Human Brain Mapping, 2021, 10.1002/hbm.25253
Neural correlates of resilience to the effects of hippocampal atrophy on memory, Hudon, C., Phillips, N., Maltezos, S., Duchesne, S., Dang-Vu, T.T., Cloutier, S., Mellah, S., Belleville, S., NeuroImage: Clinical, 2021, 10.1016/j.nicl.2020.102526
Longitudinal differences in white matter integrity in youth at high familial risk for bipolar disorder, Duchesne, S., Whalley, H.C., McIntosh, A.M., Sussmann, J., Macdonald, A., Giles, S., Bastin, M.E., Nickson, T., Ganzola, R., Bipolar Disorders, 2017, 10.1111/bdi.12489
Corrigendum to ‘Normative morphometric data for cerebral cortical areas over the lifetime of the adult human brain’ [NeuroImage 156 (2017) 315–339] (NeuroImage (2017) 156 (315–339), (S1053811917304135) (10.1016/j.neuroimage.2017.05.019)), Duchesne, S., Dieumegarde, L., Potvin, O., NeuroImage, 2018, 10.1016/j.neuroimage.2018.09.019
Multi-decade hippocampal and amygdala volume analysis: Equal variability and limited age effect, Duchesne, S., Mouiha, A., Neuroscience Letters, 2011, 10.1016/j.neulet.2011.05.041
Structural and functional multi-platform MRI series of a single human volunteer over more than fifteen years, Potvin, O., Beaulieu, C., Houde, J.-C., Boré, A., Descoteaux, M., Tétreault, P., Bellec, P., Badhwar, A., Farokhian, F., Chouinard, I., Dieumegarde, L., Duchesne, S., Scientific Data, 2019, 10.1038/s41597-019-0262-8
Clinical Predictors of Postmortem Amyloid and Nonamyloid Cerebral Small Vessel Disease in Middle-Aged to Older Adults, Simon Duchesne, Colin Smith, Caroline Dallaire-Théroux, Neurology Clinical Practice, 2024, 10.1212/CPJ.0000000000200271
Predicting clinical variable from MRI features: Application to MMSE in MCI, , International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2005), 2005, 10.1007/11566465_49
A multiomics approach to heterogeneity in Alzheimer's disease: Focused review and roadmap, Bellec, P., Dixon, R.A., Li, L., Masellis, M., Duchesne, S., Chertkow, H., Black, S.E., Sapkota, S., Peggy McFall, G., Badhwar, A., Brain, 2020, 10.1093/brain/awz384
A dataset of long-term consistency values of resting-state fMRI connectivity maps in a single individual derived at multiple sites and vendors using the Canadian Dementia Imaging Protocol, Bellec, P., Duchesne, S., Potvin, O., Vogel, J., Chouinard, I., Urchs, S., Orban, P., Sharmarke, H., Lussier, D., Collin-Verreault, Y., Badhwar, A., Data in Brief, 2020, 10.1016/j.dib.2020.105699
Erratum: Survey of protocols for the manual segmentation of the hippocampus: Preparatory steps towards a joint EADC-ADNI harmonized protocol (Journal of Alzheimer's Disease (2011) 26: 3 (61-75)), Frisoni, G.B., Jack Jr., C.R., Duchesne, S., Watson, C., Soininen, H., Pruessner, J.C., Pantel, J., Leh́ericy, S., Killiany, R.J., DeToledo-Morrell, L., De Leon, M.J., Csernansky, J.G., Camicioli, R., Bartzokis, G., Redolfi, A., Pievani, M., Bocchetta, M., Ganzola, R., Boccardi, M., Journal of Alzheimer's Disease, 2012, 10.3233/JAD-2012-128000
Cognitive and motor correlates of grey and white matter pathology in Parkinson's disease, Camicioli, R., Duchesne, S., Shuaib, A., Gee, M., Dadar, M., NeuroImage: Clinical, 2020, 10.1016/j.nicl.2020.102353
Operationalization of Differences among Protocols for Manual Hippocampal Segmentation: Quantitative Data for EADC-ADNI Consensual Decisions on a Harmonized Protocol, Frisoni, Giovanni B., Jack, Clifford R., Duchesne, Simon, Watson, Craig, Soininen, Hilkka, Pruessner, Jens C., Pantel, Johannes, Lehericy, Stephane, Killiany, Ronald J., DeToledo-Morrell, Leyla, De Leon, Mony J., Csernansky, John G., Camicioli, Richard, Bartzokis, George, Redolfi, Alberto, Robitaille, Nicolas, Ganzola, Rossana, Bocchetta, Martina, Boccardi, Marina, Neurology, 2011
Analysis of 3D deformation fields for appearance-based segmentation, , International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2001), 2001, 10.1007/3-540-45468-3_157
Recommendations on Imaging in the Context of Alzheimer’s Disease-Modifying Therapies from the CCNA Imaging Workgroup, Eric E. Smith, Jean-Paul Soucy, Pedro Rosa-Neto, Manish Joshi, Mahsa Dadar, Howard Chertkow, Sandra Black, Robert Bartha, Laura Barlow, D. Louis Collins, Simon Duchesne, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, 2024, 10.1017/cjn.2024.338
Operationalizing protocol differences for EADC-ADNI manual hippocampal segmentation, Watson, C., Soininen, H., Pruessner, J.C., Pantel, J., Malykhin, N., Lehericy, S., Killiany, R.J., Detoledo-Morrell, L., De Leon, M.J., Csernansky, J.G., Bartzokis, G., Frisoni, G.B., Jack, C.R., Duchesne, S., Redolfi, A., Robitaille, N., Ganzola, R., Bocchetta, M., Boccardi, M., Alzheimer's and Dementia, 2015, 10.1016/j.jalz.2013.03.001

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Rémi Lamontagne Caron - Maîtrise avec mémoire - En cours
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