| 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 | 201 | 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 | 102 | 2018 |
| Predicting the progression of mild cognitive impairment using machine learning: a systematic, quantitative and critical review M Ansart, S Epelbaum, G Bassignana, A Bône, S Bottani, T Cattai, ... Medical Image Analysis 67, 101848, 2021 | 36 | 2021 |
| 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 | 33 | 2021 |
| 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 | 14 | 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, 94, 2018 | 11 | 2018 |
| Primary progressive aphasia associated with GRN mutations: new insights into the nonamyloid logopenic variant D Saracino, S Ferrieux, M Nogues-Lassiaille, M Houot, A Funkiewiez, ... Neurology 97 (1), e88-e102, 2021 | 8 | 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 | 8 | 2021 |
| How serious is data leakage in deep learning studies on Alzheimer's disease classification? J Wen, E Thibeau, J Samper-González, A Routier, S Bottani, D Dormont, ... 2019 OHBM Annual meeting-Organization for Human Brain Mapping, 2019 | 7 | 2019 |
| 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 | 7 | 2018 |
| 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 | 6 | 2019 |
| Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse S Bottani, N Burgos, A Maire, A Wild, S Ströer, D Dormont, O Colliot, ... Medical Image Analysis 75, 102219, 2022 | 5 | 2022 |
| Deep learning for brain disorders: from data processing to disease treatment N Burgos, S Bottani, J Faouzi, E Thibeau-Sutre, O Colliot Briefings in Bioinformatics 22 (2), 1560-1576, 2021 | 5 | 2021 |
| 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 | 4 | 2019 |
| Simulating Alzheimer’s disease progression with personalised digital brain models I Koval, A Bône, M Louis, S Bottani, A Marcoux, J Samper-Gonzalez, ... URL: https://hal. inria. fr/hal-01964821. preprint 580, 2018 | 4 | 2018 |
| Cognitive, linguistic and neuroanatomical features of primary progressive aphasias due to frontotemporal dementia gene mutations D Saracino, S Ferrieux, M Nogučs-Lassiaille, M Houot, A Funkiewiez, ... | 2 | 2020 |
| Gaussian graphical model exploration and selection in high dimension low sample size setting T Lartigue, S Bottani, S Baron, O Colliot, S Durrleman, S Allassonničre IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (9), 3196-3213, 2020 | 2 | 2020 |
| Predicting the progression of mild cognitive impairment using machine learning: a systematic and quantitative review M Ansart, S Epelbaum, G Bassignana, A Bône, S Bottani, T Cattai, ... | 2 | 2019 |
| Predicting progression to Alzheimer’s disease from clinical and imaging data: a reproducible study J Samper-Gonzalez, N Burgos, S Bottani, MO Habert, T Evgeniou, ... OHBM 2019-Organization for Human Brain Mapping Annual Meeting 2019, 2019 | 2 | 2019 |
| Using diffusion MRI for classification and prediction of Alzheimer's Disease: a reproducible study J Wen, J Samper-González, S Bottani, A Routier, N Burgos, T Jacquemont, ... AAIC 2018-Alzheimer's Association International Conference, 2018 | 2 | 2018 |
