Colliot, Olivier

Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation

Wen, J., Thibeau-Sutre, E., Diaz-Melo, M., Samper-González, J., Routier, A., Bottani, S., Dormont, D., Durrleman, S., Burgos, N., & Colliot, O. (2020) · Medical Image Analysis

Dementia and Cognitive Impairment ResearchFunctional Brain Connectivity Studies

Cited by 809

Early and protective microglial activation in Alzheimer’s disease: a prospective study using18F-DPA-714 PET imaging

Hamelin, L., Lagarde, J., Dorothée, G., Leroy, C., Labit, M., Comley, R. A., de Souza, L. C., Corne, H., Dauphinot, L., Bertoux, M., et al. (2016) · Brain

Neuroinflammation and Neurodegeneration MechanismsAlzheimer's disease research and treatments

Cited by 519

Evaluating Machine Learning Models and Their Diagnostic Value

Varoquaux, G., & Colliot, O. (2023) · Neuromethods

Machine Learning and Data ClassificationImbalanced Data Classification Techniques

Cited by 242

Temporal order of clinical and biomarker changes in familial frontotemporal dementia

Staffaroni, A. M., Quintana, M., Wendelberger, B., Heuer, H. W., Russell, L. L., Cobigo, Y., Wolf, A., Goh, S.-Y. M., Petrucelli, L., Gendron, T. F., et al. (2022) · Nature Medicine

Dementia and Cognitive Impairment ResearchAmyotrophic Lateral Sclerosis Research

Cited by 140

Predicting the progression of mild cognitive impairment using machine learning: a systematic, quantitative and critical review

Ansart, M., Epelbaum, S., Bassignana, G., Bône, A., Bottani, S., Cattai, T., Couronné, R., Faouzi, J., Koval, I., Louis, M., et al. (2021) · Medical Image Analysis

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 116

Depressed suicide attempters have smaller hippocampus than depressed patients without suicide attempts

Colle, R., Chupin, M., Cury, C., Vandendrie, C., Gressier, F., Hardy, P., Falissard, B., Colliot, O., Ducreux, D., & Corruble, E. (2015) · Journal of Psychiatric Research

Suicide and Self-Harm StudiesTreatment of Major Depression

Cited by 99

The road ahead to cure Alzheimer’s disease: development of biological markers and neuroimaging methods for prevention trials across all stages and target populations

Cavedo, E., Lista, S., Khachaturian, Z., Aisen, P., Amouyel, P., Herholz, K., Jack Jr, C. R., Sperling, R., Cummings, J., Blennow, K., et al. (2014) · The Journal of Prevention of Alzheimer's Disease

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 67

Automatic segmentation of the choroid plexuses: Method and validation in controls and patients with multiple sclerosis

Yazdan-Panah, A., Schmidt-Mengin, M., Ricigliano, V. A. G., Soulier, T., Stankoff, B., & Colliot, O. (2023) · NeuroImage: Clinical

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 58

Machine learning for classification and prediction of brain diseases: recent advances and upcoming challenges.

Burgos, N., & Colliot, O. (2020) · Current Opinion in Neurology

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 53

Differential impairment of cerebrospinal fluid synaptic biomarkers in the genetic forms of frontotemporal dementia

Sogorb-Esteve, A., Nilsson, J., Swift, I. J., Heller, C., Bocchetta, M., Russell, L. L., Peakman, G., Convery, R. S., van Swieten, J. C., Seelaar, H., et al. (2022) · Alzheimer's Research & Therapy

Amyotrophic Lateral Sclerosis ResearchAlzheimer's disease research and treatments

Cited by 39

Radiological classification of dementia from anatomical MRI assisted by machine learning-derived maps

Chagué, P., Marro, B., Fadili, S., Houot, M., Morin, A., Samper-González, J., Beunon, P., Arrivé, L., Dormont, D., Dubois, B., et al. (2021) · Journal of Neuroradiology

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare and Education

Cited by 31

Early life adversity is associated with a smaller hippocampus in male but not female depressed in-patients: A case-control study

Colle, R., Segawa, T., Chupin, M., Tran Dong, M. N. T. K., Hardy, P., Falissard, B., Colliot, O., Ducreux, D., & Corruble, E. (2017) · BMC Psychiatry

Child Abuse and TraumaStress Responses and Cortisol

Cited by 29

Accuracy of MRI classification algorithms in a tertiary memory center clinical routine cohort

Morin, A., Samper-Gonzalez, J., Bertrand, A., Ströer, S., Dormont, D., Mendes, A., Coupé, P., Ahdidan, J., Lévy, M., Samri, D., et al. (2020) · Journal of Alzheimer’s Disease

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 25

Hippocampal volume predicts antidepressant efficacy in depressed patients without incomplete hippocampal inversion

Colle, R., Cury, C., Chupin, M., Deflesselle, E., Hardy, P., Nasser, G., Falissard, B., Ducreux, D., Colliot, O., & Corruble, E. (2016) · NeuroImage: Clinical

Treatment of Major DepressionAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 18

Examining empathy deficits across familial forms of frontotemporal dementia within the GENFI cohort

Foster, P. H., Russell, L. L., Peakman, G., Convery, R. S., Bouzigues, A., Greaves, C. V., Bocchetta, M., Cash, D. M., van Swieten, J. C., Jiskoot, L. C., et al. (2022) · Cortex

Dementia and Cognitive Impairment ResearchAmyotrophic Lateral Sclerosis Research

Cited by 16

Automatic quality control of segmentation results using early epochs as data augmentation: application to choroid plexuses

Yazdan-Panah, A., Stankoff, B., & Colliot, O. (2024) · Medical Imaging 2024: Image Processing

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 1