| 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 | 561 | 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 | 191 | 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, 689675, 2021 | 114 | 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 | 58 | 2015 |
| AD Course Map charts Alzheimer’s disease progression I Koval, A Bône, M Louis, T Lartigue, S Bottani, A Marcoux, ... Scientific Reports 11 (1), 8020, 2021 | 48 | 2021 |
| 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 | 29 | 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, 57-78, 2021 | 29 | 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 | 25 | 2020 |
| 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 | 25 | 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 | 24 | 2017 |
| 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 | 18 | 2018 |
| Australian Imaging Biomarkers and Lifestyle flagship study of ageing, 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, ... Med. Image Anal 63, 101694, 2020 | 16* | 2020 |
| 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 | 15 | 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), 024003-024003, 2021 | 14 | 2021 |
| 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 | 11 | 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 | 11 | 2019 |
| 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 | 10 | 2017 |
| Advancing artificial intelligence in sensors, signals, and imaging informatics W Hsu, C Baumgartner, T Deserno Yearbook of medical informatics 28 (01), 115-117, 2019 | 8 | 2019 |
| 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 | 7 | 2017 |
| 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 | 6 | 2019 |
