Igor Koval
Igor Koval
PhD student, Brain and Spine Institute, CMAP, Ecole Polytechnique
Adresse e-mail validée de polytechnique.edu
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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
222017
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
122018
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
52020
Riemannian geometry learning for disease progression modelling
M Louis, R Couronne, I Koval, B Charlier, S Durrleman
International Conference on Information Processing in Medical Imaging, 542-553, 2019
52019
Simulating Alzheimer's disease progression with personalised digital brain models
I Koval, A Bône, M Louis, S Bottani, A Marcoux, J Samper-Gonzalez, ...
URL: https://hal. inria. fr/hal-01964821. preprint 580, 2018
32018
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
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
2020 Alzheimer's Association International Conference, 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
Towards cross-cohort estimation of cognitive decline in neurodegenerative diseases
E Maheux, I Koval, D Archetti, A Redolfi, S Durrleman
2020 Alzheimer's Association International Conference, 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
Deciphering the progression of PET alterations using surface-based spatiotemporal modeling
I Koval, A Marcoux, N Burgos, S Allassonnière, O Colliot, S Durrleman
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
2019
Design of a decision support system for predicting the progression of Alzheimer’s disease
M Ansart, I Koval, A Bertrand, D Dormont, S Durrleman
2018
Building disease progression models from longitudinal biomarkers
C Fourrier, I Koval, S Bottani, O Colliot, S Durrleman
5th Annual Human Brain Project Summit, 2017
2017
Statistical Disease Progression Modeling in Alzheimer Disease
NP Oxtoby, D Li, I Koval, LL Raket
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