Jorge Samper-González
Jorge Samper-González
Data scientist, Qynapse
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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
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
Clinica: An open-source software platform for reproducible clinical neuroscience studies
A Routier, N Burgos, M Díaz, M Bacci, S Bottani, O El-Rifai, S Fontanella, ...
Frontiers in Neuroinformatics 15, 2021
Incomplete hippocampal inversion: a comprehensive MRI study of over 2000 subjects
C Cury, R Toro, F Cohen, C Fischer, A Mhaya, J Samper-González, ...
Frontiers in neuroanatomy 9, 160, 2015
Basic visual dysfunction allows classification of patients with schizophrenia with exceptional accuracy
JA González-Hernández, C Pita-Alcorta, A Padrón, A Finalé, L Galán, ...
Schizophrenia research 159 (1), 226-233, 2014
Yet another ADNI machine learning paper? Paving the way towards fully-reproducible research on classification of Alzheimer’s disease
J Samper-González, N Burgos, S Fontanella, H Bertin, MO Habert, ...
International Workshop on Machine Learning in Medical Imaging, 53-60, 2017
Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimer’s disease
J Wen, J Samper-González, S Bottani, A Routier, N Burgos, T Jacquemont, ...
Neuroinformatics 19 (1), 57-78, 2021
AD Course Map charts Alzheimer’s disease progression
I Koval, A Bône, M Louis, T Lartigue, S Bottani, A Marcoux, ...
Scientific Reports 11 (1), 1-16, 2021
Accuracy of MRI classification algorithms in a tertiary memory center clinical routine cohort
A Morin, J Samper-Gonzalez, A Bertrand, S Ströer, D Dormont, A Mendes, ...
Journal of Alzheimer's Disease 74 (4), 1157-1166, 2020
Radiological classification of dementia from anatomical MRI assisted by machine learning-derived maps
P Chagué, B Marro, S Fadili, M Houot, A Morin, J Samper-González, ...
Journal of Neuroradiology 48 (6), 412-418, 2021
An automated pipeline for the analysis of PET data on the cortical surface
A Marcoux, N Burgos, A Bertrand, M Teichmann, A Routier, J Wen, ...
Frontiers in neuroinformatics 12, 94, 2018
Australian Imaging Biomarkers and Lifestyle flagship study of ageing, 2018. Reproducible evaluation of classification methods in Alzheimer’s disease: Framework and application …
J Samper-González, N Burgos, S Bottani, S Fontanella, P Lu, A Marcoux, ...
Neuroimage 183, 504-21, 2018
Prediction of the progression of subcortical brain structures in Alzheimer’s disease from baseline
A Bône, M Louis, A Routier, J Samper, M Bacci, B Charlier, O Colliot, ...
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging …, 2017
I., Australian Imaging, B., Lifestyle flagship study of, a., 2020. Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation
J Wen, E Thibeau-Sutre, M Diaz-Melo, J Samper-Gonzalez, A Routier, ...
Med Image Anal 63, 101694, 0
How serious is data leakage in deep learning studies on Alzheimer's disease classification?
J Wen, E Thibeau, J Samper-González, AM Routier, S Bottani, D Dormont, ...
2019 OHBM Annual meeting-Organization for Human Brain Mapping, 2019
Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data
J Samper-Gonzalez, N Burgos, S Bottani, MO Habert, T Evgeniou, ...
Medical Imaging 2019: Image Processing 10949, 221-233, 2019
Convolutional Neural Networks for Classification of Alzheimer’s Disease: Overview and Reproducible Evaluation. arXiv 2019
J Wen, E Thibeau-Sutre, J Samper-Gonzalez, A Routier, S Bottani, ...
arXiv preprint arXiv:1904.07773, 2019
Simulating Alzheimer’s disease progression with personalised digital brain models
I Koval, A Bône, M Louis, S Bottani, A Marcoux, J Samper-Gonzalez, ...
Inria preprint, 2018
Anomaly detection for the individual analysis of brain PET images
N Burgos, MJ Cardoso, J Samper-González, MO Habert, S Durrleman, ...
Journal of Medical Imaging 8 (2), 024003, 2021
Individual analysis of molecular brain imaging data through automatic identification of abnormality patterns
N Burgos, J Samper-González, A Bertrand, MO Habert, S Ourselin, ...
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and …, 2017
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