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Igor Koval
Igor Koval
PhD student, Brain and Spine Institute, CMAP, Ecole Polytechnique
Adresse e-mail validée de polytechnique.edu
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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
442021
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
352019
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
342018
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
302017
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
272020
Statistical disease progression modeling in alzheimer disease
LL Raket
Frontiers in big Data 3, 24, 2020
182020
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
172021
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
62020
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
42018
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
32021
Machine learning spots the time to treat Huntington disease
I Koval, T Dighiero-Brecht, A Tobin, S Tabrizi, R Scahill, S Durrleman, ...
22021
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, ...
22019
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
22019
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
22002
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
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