| Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks I Koval, JB Schiratti, A Routier, M Bacci, O Colliot, S Allassonnière, ... International conference on medical image computing and computer-assisted …, 2017 | 23 | 2017 |
| Spatiotemporal propagation of the cortical atrophy: Population and individual patterns I Koval, JB Schiratti, A Routier, M Bacci, O Colliot, S Allassonnière, ... Frontiers in neurology 9, 235, 2018 | 16 | 2018 |
| Riemannian geometry learning for disease progression modelling M Louis, R Couronné, I Koval, B Charlier, S Durrleman International Conference on Information Processing in Medical Imaging, 542-553, 2019 | 12 | 2019 |
| The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up RV Marinescu, NP Oxtoby, AL Young, EE Bron, AW Toga, MW Weiner, ... arXiv preprint arXiv:2002.03419, 2020 | 9 | 2020 |
| 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, 101848, 2020 | 8 | 2020 |
| Simulating Alzheimer's disease progression with personalised digital brain models I Koval, A Bône, M Louis, S Bottani, A Marcoux, J Samper-Gonzalez, ... | 3 | 2018 |
| AD Course Map charts Alzheimer’s disease progression I Koval, A Bône, M Louis, T Lartigue, S Bottani, A Marcoux, ... | 1 | 2018 |
| Machine learning spots the time to treat Huntington disease I Koval, T Dighiero-Brecht, A Tobin, S Tabrizi, R Scahill, S Durrleman, ... | | 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 |
| 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 |
| 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 |
| Prediction of biomarkers' trajectory in Huntington's disease: application to precise clinical trial design I Koval, T Dighiero, R Scahill, A Durr, S Durrleman CompAge 2020, 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 |
| Statistical Disease Progression Modeling in Alzheimer Disease LL Raket, Alzheimer's Disease Neuroimaging Initiative Frontiers in Big Data 3, 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 |
| Learning Multimodal Digital Models of Disease Progression from Longitudinal Data: Methods & Algorithms for the Description, Prediction and Simulation of Alzheimer’s Disease … I Koval Institut polytechnique de Paris, 2020 | | 2020 |
