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Simon Duchesne

Professeur titulaire

Simon Duchesne
simon.duchesne@fmed.ulaval.ca
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

  • 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

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

Publications

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • General Overview And Early Neuroanatomical Findings In SCD, , Alzheimer's Imaging Consortium Conference, 2017, 10.1016/j.jalz.2017.06.2032
  • 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
  • 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
  • Patch-wise brain age longitudinal reliability, Duchesne, S., Potvin, O., Beheshti, I., Human Brain Mapping, 2021, 10.1002/hbm.25253
  • 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
  • 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
  • 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
  • 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
  • Relating one-year cognitive change in mild cognitive impairment to baseline MRI features, Frisoni, Giovanni B., Collins, D. Louis, Geroldi, Cristina, Caroli, Anna, Duchesne, Simon, Neuroimage, 2009, 10.1016/j.neuroimage.2009.04.023
  • 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
  • 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
  • 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
  • Comprehensive Morphometric Cortical/Subcortical Normative Data: Freesurfer Atlases Comparison, , AAIC - Alzheimer's Imaging Consortium Conference, 2017, 10.1016/j.jalz.2017.06.1057
  • 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
  • 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
  • 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
  • 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
  • Association Between Cerebellar Volumes and Cognitive Functioning, , Alzheimer’s Disease and Associated Disorders, 2019, 10.1097/WAD.0000000000000327
  • 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
  • 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., Cantillon, Marc, Bernstein, Matt A., Barkhof, Frederik, Jack, Clifford R., Jr., Alzheimers & Dementia, 2011, 10.1016/j.jalz.2011.04.007
  • 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
  • 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
  • Special Issue on MICCAI 2017, Duchesne, S., Collins, D.L., Franz, A., Jannin, P., Maier-Hein, L., Descoteaux, M., Medical Image Analysis, 2018, 10.1016/j.media.2018.07.005
  • 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
  • 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
  • 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
  • Proposing a manuscript peer-review checklist, Jannin, Pierre, Duchesne, Simon, Neuroimage, 2008, 10.1016/j.neuroimage.2007.09.065
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • The Midbrain Is The Optimal Intensity Normalization Region For FEDG-PET Studies Of Normal Aging, , AAIC - Alzheimer's Association International Conference, 2018
  • FreeSurfer subcortical normative data, Duchesne, S., Dieumegarde, L., Mouiha, A., Potvin, O., Data in Brief, 2016, 10.1016/j.dib.2016.10.001
  • 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
  • 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
  • Label fusion strategy selection, Duchesne, S., Robitaille, N., International Journal of Biomedical Imaging, 2012, 10.1155/2012/431095
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • FDG-PET Normative Data in Cognitively Healthy Aging, , AAIC - Alzheimer’s Association International Conference, 2019, 10.1016/j.jalz.2019.06.4227
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Measurement Variability following MRI system upgrade, , Frontiers in Neurology, 2019, 10.3389/fneur.2019.00726
  • 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
  • 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
  • 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
  • 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
  • Appearance-based segmentation of medial temporal lobe structures, Collins, DL, Pruessner, JC, Duchesne, S, Neuroimage, 2002, 10.1006/nimg.2002.1188
  • 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
  • On the classification of temporal lobe epilepsy using MR image appearance, Collins, D.L., Bernasconi, A., Bernasconi, N., Duchesne, S., Proceedings - International Conference on Pattern Recognition, 2002
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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 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
  • 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 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
  • 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
  • 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
  • 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
  • The Temporal Relationships between White Matter Hyperintensities, Neurodegeneration, Amyloid β, and Cognition, D. Louis Collins, Simon Duchesne, Richard Camicioli, Mahsa Dadar, 2020, 10.1101/2020.05.27.119586
  • 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
  • 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
  • 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., Sachdev, P., Simmons, A., Mueller, S., Launer, L., Maller, J.J., 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., Barnes, J., Firbank, M., Fellgiebel, A., Waldemar, G., Teipel, S., Soininen, H., Scheltens, P., 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
  • 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
  • Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, , Springer, 2017, 10.1007/978-3-319-66179-7
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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., Ghidoni, R., Boccardi, M., Canu, E., Journal of Neuroimaging, 2009, 10.1111/j.1552-6569.2008.00326.x
  • 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., Grothe, M.J., Ganzola, R., Nishikawa, M., Collins, D.L., Morency, F.C., Bocchetta, M., Boccardi, M., Alzheimer's and Dementia, 2015, 10.1016/j.jalz.2014.12.002
  • 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
  • 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
  • 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., Pelini, L., Paraskevas, G.P., 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., Sensi, F., Wolz, R., 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
  • 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
  • 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
  • 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
  • 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
  • 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

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