| 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 | 44 | 2021 |
| 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 | 35 | 2019 |
| 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, 235, 2018 | 34 | 2018 |
| 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 | 30 | 2017 |
| 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 | 27 | 2020 |
| Statistical disease progression modeling in alzheimer disease LL Raket Frontiers in big Data 3, 24, 2020 | 18 | 2020 |
| 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 | 17 | 2021 |
| 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 | 6 | 2020 |
| Simulating Alzheimer’s disease progression with personalised digital brain models I Koval, A Bône, M Louis, S Bottani, A Marcoux, J Samper-Gonzalez, ... Inria preprint, 2018 | 4 | 2018 |
| 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 |
| Machine learning spots the time to treat Huntington disease I Koval, T Dighiero-Brecht, A Tobin, S Tabrizi, R Scahill, S Durrleman, ... | 2 | 2021 |
| 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 |
| Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects I Koval, S Allassonnière, S Durrleman arXiv preprint arXiv:1904.02921, 2019 | 2 | 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, ... CoRR. abs, 2002 | 2 | 2002 |
| Forecasting individual progression trajectories in Huntington disease enables more powered clinical trials I Koval, T Dighiero-Brecht, AJ Tobin, SJ Tabrizi, RI Scahill, ... Scientific reports 12 (1), 1-14, 2022 | | 2022 |
| GENDER AND SPINAL/BULBAR ONSET INTERACTION ON ALS PROGRESSION J Ortholand, I Koval, PF Pradat, ST Du Montcel, S Durrleman ENCALS 2022, 2022 | | 2022 |
| 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 | | 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 |
