| Progression models for imaging data with longitudinal variational auto encoders B Sauty, S Durrleman International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 18 | 2022 |
| Riemannian metric learning for progression modeling of longitudinal datasets B Sauty, S Durrleman 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022 | 9 | 2022 |
| Simulation based evaluation framework for deep learning unsupervised anomaly detection on brain FDG-PET R Hassanaly, S Bottani, B Sauty, O Colliot, N Burgos Medical Imaging 2023: Image Processing 12464, 511-518, 2023 | 6 | 2023 |
| Impact of sex and APOE-ε4 genotype on patterns of regional brain atrophy in Alzheimer's Disease and healthy ageing B Sauty, S Durrleman Frontiers in Neurology, section Dementia and Neurodegenerative Disorders 14, 2023 | 5 | 2023 |
| Impact of sex and APOE-ε4 genotype on regional brain metabolism in Alzheimer's Disease B Sauty, S Durrleman 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 2 | 2023 |
| Multimodal modelling of Alzheimer's Disease progression B Sauty Sorbonne Université, 2023 | | 2023 |
| Multimodal modelling of the progression of Alzheimer's Disease B Sauty Sorbonne Université, 2023 | | 2023 |
| Feature Selection to Forecast Cognitive Decline Using Multimodal Alzheimer's Disease Models B Sauty, E Maheux, S Durrleman | | 2023 |
| Longitudinal Variational Autoencoders learn a Riemannian progression model for imaging data B Sauty, S Durrleman GeoMedIA Workshop 2022-Geometric Deep Learning in Medical Image Analysis, 2022 | | 2022 |
Stanley DurrlemanInria, Paris Brain Institute (ICM)在 inria.fr 的电子邮件经过验证
