| An experimental study of sheet to cloud cavitation X Wu, E Maheux, GL Chahine Experimental Thermal and Fluid Science 83, 129-140, 2017 | 48 | 2017 |
| Learning Riemannian metric for disease progression modeling S Gruffaz, PE Poulet, E Maheux, B Jedynak, S Durrleman Advances in Neural Information Processing Systems 34, 23780-23792, 2021 | 16 | 2021 |
| Forecasting individual progression trajectories in Alzheimer’s disease E Maheux, I Koval, J Ortholand, C Birkenbihl, D Archetti, V Bouteloup, ... Nature Communications 14 (1), 761, 2023 | 7 | 2023 |
| A strategy for high specific power pyroelectric energy harvesting from a fluid source E Maheux, MY Hrebtov, G Sukhorukov, NN Kozyulin, MS Bobrov, ... Applied Physics Letters 111 (23), 2017 | 6 | 2017 |
| Changes in the awareness of cognitive decline across the course of Alzheimer’s disease: Comparison of two assessment methods F Cacciamani, A Valladier, E Maheux, I Koval, S Durrleman, S Epelbaum Alzheimer's & Dementia 17, e053074, 2021 | 3 | 2021 |
| Forecast Alzheimer's disease progression to better select patients for clinical trials E Maheux, J Ortholand, C Birkenbihl, E Thibeau-Sutre, M Sood, D Archetti, ... ISCB 2021: 42nd Conference of the International Society for Clinical …, 2021 | 1 | 2021 |
| Feature Selection to Forecast Cognitive Decline Using Multimodal Alzheimer's Disease Models B Sauty, E Maheux, S Durrleman | | 2023 |
| Timing and order of pathological events in Alzheimer's disease: focus on the trajectory of the awareness of cognitive decline F Cacciamani, A Valladier, E Maheux, I Koval, S Durrleman, S Epelbaum AD/PD 2021-15thInternational Conference on Alzheimer’s and Parkinson’s …, 2021 | | 2021 |
| Forecast Parkinson Disease Progression to Better Select Patients into Trials J Ortholand, E Maheux, I Koval, A Valladier, S Durrleman AD/PD 2021-15th International Conference on Alzheimer’s and Parkinson’s …, 2021 | | 2021 |
| Towards cross‐cohort estimation of cognitive decline in neurodegenerative diseases: Biomarkers (non‐neuroimaging)/Method development and/or quality control E Maheux, I Koval, D Archetti, A Redolfi, S Durrleman Alzheimer's & Dementia 16, e041498, 2020 | | 2020 |
| Prediction of the MMSE up to 6 years ahead with cross‐cohort replications: Biomarkers (non‐neuroimaging)/Longitudinal change over time E Maheux, I Koval, D Archetti, A Redolfi, S Durrleman Alzheimer's & Dementia 16, e043541, 2020 | | 2020 |
| Awareness of cognitive decline through the continuum of Alzheimer’s disease and its association to APOE‐ε4 and amyloid load: Neuropsychology: Awareness of cognitive capacities … F Cacciamani, A Valladier, E Maheux, I Koval, S Durrleman, S Epelbaum Alzheimer's & Dementia 16, e042730, 2020 | | 2020 |
| Simple model for high-frequency pyroelectric energy harvesting AS Yurkov, MY Hrebtov, E Maheux, MS Bobrov, NN Kozyulin, ... Ferroelectrics 567 (1), 160-170, 2020 | | 2020 |
| Forecast of the MMSE score up to 6 years ahead, with cross-cohort replications E Maheux, I Koval, D Archetti, A Redolfi, S Durrleman CompAge 2020-Computational approaches for ageing and age-related diseases, 2020 | | 2020 |
| Towards cross-cohort estimation of cognitive decline in neurodegenerative diseases E Maheux, I Koval, D Archetti, A Redolfi, S Durrleman VPH 2020-Virtual Physiological Human, 2020 | | 2020 |
| Prediction of the MMSE up to 6 years ahead with cross-cohort replications E Maheux, I Koval, D Archetti, A Redolfi, S Durrleman 2020 Alzheimer's Association International Conference, 2020 | | 2020 |
| Awareness of cognitive decline through the continuum of Alzheimer’s disease and its association to APOE-ε4 and amyloid load F Cacciamani, A Valladier, E Maheux, I Koval, S Durrleman, S Epelbaum AAIC 2020, 2020 | | 2020 |
| Quelle adaptation des organisations agricoles aux nouvelles modalités de gouvernance environnementale? O Du Fayet, P Foucher, F Giry, JM Lecerf, E Maheux | | 2017 |
| Supplementary document. S Gruffaz, PE Poulet, E Maheux, B Jedynak, S Durrleman | | |
Stanley DurrlemanInria, Paris Brain Institute (ICM)Dirección de correo verificada de inria.fr
