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Awareness of cognitive decline through the continuum of Alzheimer’s disease and its association to APOE-ε4 and amyloid load

 Federica Cacciamani , Arnaud Valladier , Etienne Maheux , Igor Koval , Stanley Durrleman​ , et al.
AAIC 2020, Jul 2020, Amsterdam, Netherlands
Communication dans un congrès halshs-03030179v1
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Predicting the Progression of Mild Cognitive Impairment Using Machine Learning: A Systematic, Quantitative and Critical Review

 Manon Ansart , Stéphane Epelbaum , Giulia Bassignana , Alexandre Bône , Simona Bottani , et al.
Medical Image Analysis, 2021, 67, pp.101848. ⟨10.1016/j.media.2020.101848⟩
Article dans une revue hal-02337815v2
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Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects

 Igor Koval , Stéphanie Allassonnière , Stanley Durrleman
2019
Pré-publication, Document de travail hal-02089881v1
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AD Course Map charts Alzheimer’s disease progression

 Igor Koval , Alexandre Bône , Maxime Louis , Thomas Lartigue , Simona Bottani , et al.
Scientific Reports, 2021, 11 (1), ⟨10.1038/s41598-021-87434-1⟩
Article dans une revue hal-01964821v3
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Forecasting individual progression trajectories in Huntington disease enables more powered clinical trials

 Igor Koval , Thomas Dighiero-Brecht , Allan J Tobin , Sarah J Tabrizi , Rachael I Scahill , et al.
Scientific Reports, 2022, 12 (1), pp.18928. ⟨10.1038/s41598-022-18848-8⟩
Article dans une revue hal-03877293v1
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Forecast of the MMSE score up to 6 years ahead, with cross-cohort replications

 Etienne Maheux , Igor Koval , Damiano Archetti , Alberto Redolfi , Stanley Durrleman​
CompAge 2020 - Computational approaches for ageing and age-related diseases, Sep 2020, Paris / Virtual, France
Communication dans un congrès hal-03137878v1
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Learning Multimodal Digital Models of Disease Progression from Longitudinal Data : Methods & Algorithms for the Description, Prediction and Simulation of Alzheimer’s Disease Progression

 Igor Koval
Other Statistics [stat.ML]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAX008⟩
Thèse tel-02524279v1
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Spatiotemporal Propagation of the Cortical Atrophy: Population and Individual Patterns

 Igor Koval , Jean-Baptiste Schiratti , Alexandre M Routier , Michael Bacci , Olivier Colliot , et al.
Frontiers in Neurology, 2018, 9, pp.235. ⟨10.3389/fneur.2018.00235⟩
Article dans une revue hal-01910400v1
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Prediction of biomarkers' trajectory in Huntington's disease: application to precise clinical trial design

 Igor Koval , Thomas Dighiero , Rachael I Scahill , Alexandra Durr , Stanley Durrleman​
CompAge 2020 - Computational approaches for ageing and age-related diseases, Sep 2020, Paris, France
Communication dans un congrès hal-03137994v1
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Design of a decision support system for predicting the progression of Alzheimer’s disease

 Manon Ansart , Igor Koval , Anne Bertrand , Didier Dormont , Stanley Durrleman
Alzheimer's Association International Conference, Jul 2018, Chicago, United States. pp.P433, ⟨10.1016/j.jalz.2018.06.371⟩
Communication dans un congrès hal-01988912v1
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Riemannian geometry learning for disease progression modelling

 Maxime Louis , Raphäel Couronné , Igor Koval , Benjamin Charlier , Stanley Durrleman
2019
Pré-publication, Document de travail hal-02079820v2
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Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks

 Igor Koval , Jean-Baptiste Schiratti , Alexandre Routier , Michael Bacci , Olivier Colliot , et al.
Medical Image Computing and Computer Assisted Intervention, Sep 2017, Quebec City, Canada
Communication dans un congrès hal-01540828v1
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Deciphering the progression of PET alterations using surface-based spatiotemporal modeling

 Igor Koval , Arnaud Marcoux , Ninon Burgos , Stéphanie Allassonnière , Olivier Colliot , et al.
OHBM 2019 - Annual meeting of the Organization for Human Brain Mapping, Jun 2019, Rome, Italy
Communication dans un congrès hal-02134909v1
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Forecast Parkinson Disease Progression to Better Select Patients into Trials

 Juliette Ortholand , Etienne Maheux , Igor Koval , Arnaud Valladier , Stanley Durrleman​
AD/PD 2021 - 15th​ International Conference on Alzheimer’s and Parkinson’s Diseases and related neurological disorders, Mar 2021, Online, France
Communication dans un congrès hal-03145333v1
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Timing and order of pathological events in Alzheimer's disease: focus on the trajectory of the awareness of cognitive decline

 Federica Cacciamani , Arnaud Valladier , Etienne Maheux , Igor Koval , Stanley Durrleman​ , et al.
AD/PD 2021 - 15thInternational Conference on Alzheimer’s and Parkinson’s Diseases and related neurological disorders, Mar 2021, Barcelone / Virtual, Spain
Communication dans un congrès hal-03030182v1
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Towards cross-cohort estimation of cognitive decline in neurodegenerative diseases

 Etienne Maheux , Igor Koval , Damiano Archetti , Alberto Redolfi , Stanley Durrleman​
VPH 2020 - Virtual Physiological Human, Aug 2020, Paris / Virtual, France
Communication dans un congrès hal-03137870v1
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Building disease progression models from longitudinal biomarkers

 Clémentine Fourrier , Igor Koval , Simona Bottani , Olivier Colliot , Stanley M Durrleman
5th Annual Human Brain Project Summit, Oct 2017, Glasgow, United Kingdom
Poster de conférence hal-02466386v1

Forecast Alzheimer's disease progression to better select patients for clinical trials

 Etienne Maheux , Juliette Ortholand , Colin Birkenbihl , Elina Thibeau-Sutre , Meemansa Sood , et al.
ISCB 2021: 42nd Conference of the International Society for Clinical Biostatistics, Jul 2021, Online, France
Communication dans un congrès hal-03483237v1
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Forecasting individual progression trajectories in Alzheimer’s disease

 Etienne Maheux , Igor Koval , Juliette Ortholand , Colin Birkenbihl , Damiano Archetti , et al.
Nature Communications, 2023, 14 (1), pp.761. ⟨10.1038/s41467-022-35712-5⟩
Article dans une revue hal-04023781v1
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Gender and spinal/bulbar onset interaction on ALS progression

 Juliette Ortholand , Igor Koval , Pierre-François Pradat , Sophie Tezenas Du Montcel , Stanley Durrleman​
ENCALS 2022 - European Network to Cure ALS meeting, Jun 2022, Edinburgh, United Kingdom
Poster de conférence hal-03782549v1

Riemannian Geometry Learning for Disease Progression Modelling

 Maxime Louis , Raphäel Couronné , Igor Koval , Benjamin Charlier , Stanley Durrleman
Information Processing in Medical Imaging - IPMI 2019, Jun 2019, Hong-Kong, China. pp.542-553, ⟨10.1007/978-3-030-20351-1_42⟩
Communication dans un congrès hal-02429839v1
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