Learning spatiotemporal patterns in longitudinal image data sets of the aging brain

Informazioni relative al progetto

LEASP

ID dell’accordo di sovvenzione: 678304

DOI

10.3030/678304

Progetto chiuso

Data della firma CE 19 Luglio 2016

Data di avvio 1 Settembre 2016

Data di completamento 31 Agosto 2021

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale

€ 1 499 894,00

Contributo UE

€ 1 499 894,00

Coordinato da

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
France

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Peer reviewed articles (15)

Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories

Autori: Vianney Debavelaere, Stanley Durrleman, Stéphanie Allassonnière
Pubblicato in: International Journal of Computer Vision, Numero 128/12, 2020, Pagina/e 2794-2809, ISSN 0920-5691
Editore: Kluwer Academic Publishers
DOI: 10.1007/s11263-020-01337-8

AD Course Map charts Alzheimer’s disease progression

Autori: Igor Koval, Alexandre Bône, Maxime Louis, Thomas Lartigue, Simona Bottani, Arnaud Marcoux, Jorge Samper-González, Ninon Burgos, Benjamin Charlier, Anne Bertrand, Stéphane Epelbaum, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman
Pubblicato in: Scientific Reports, Numero 11/1, 2021, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-87434-1

A Bayesian mixed-effects model to learn trajectories of changes from repeated manifold-valued observations

Autori: Schiratti, Jean-Baptiste; Allassonniere, Stéphanie; Colliot, Olivier; Durrleman, Stanley
Pubblicato in: Journal of Machine Learning Research, Numero 18, 2017, Pagina/e 1-33, ISSN 1532-4435
Editore: MIT Press

Geodesic shape regression with multiple geometries and sparse parameters

Autori: James Fishbaugh, Stanley Durrleman, Marcel Prastawa, Guido Gerig
Pubblicato in: Medical Image Analysis, Numero 39, 2017, Pagina/e 1-17, ISSN 1361-8415
Editore: Elsevier BV
DOI: 10.1016/j.media.2017.03.008

A Precision Medicine Initiative for Alzheimer’s disease: the road ahead to biomarker-guided integrative disease modeling

Autori: H. Hampel, S. E. O’Bryant, S. Durrleman, E. Younesi, K. Rojkova, V. Escott-Price, J-C. Corvol, K. Broich, B. Dubois, S. Lista
Pubblicato in: Climacteric, Numero 20/2, 2017, Pagina/e 107-118, ISSN 1369-7137
Editore: Parthenon Publishing Group
DOI: 10.1080/13697137.2017.1287866

Revolution of Alzheimer Precision Neurology Passageway of Systems Biology and Neurophysiology

Autori: Harald Hampel, Nicola Toschi, Claudio Babiloni, Filippo Baldacci, Keith L. Black, Arun L.W. Bokde, René S. Bun, Francesco Cacciola, Enrica Cavedo, Patrizia A. Chiesa, Olivier Colliot, Cristina-Maria Coman, Bruno Dubois, Andrea Duggento, Stanley Durrleman, Maria-Teresa Ferretti, Nathalie George, Remy Genthon, Marie-Odile Habert, Karl Herholz, Yosef Koronyo, Maya Koronyo-Hamaoui, Foudil Lamari, Tod
Pubblicato in: Journal of Alzheimer's Disease, 2018, Pagina/e 1-59, ISSN 1387-2877
Editore: IOS Press
DOI: 10.3233/JAD-179932

Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data

Autori: Jorge Samper-González, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, Jérémy Guillon, Michael Bacci, Junhao Wen, Anne Bertrand, Hugo Bertin, Marie-Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot
Pubblicato in: NeuroImage, Numero 183, 2018, Pagina/e 504-521, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2018.08.042

Neurite density is reduced in the presymptomatic phase of C9orf72 disease

Autori: Junhao Wen, Hui Zhang, Daniel C Alexander, Stanley Durrleman, Alexandre Routier, Daisy Rinaldi, Marion Houot, Philippe Couratier, Didier Hannequin, Florence Pasquier, Jiaying Zhang, Olivier Colliot, Isabelle Le Ber, Anne Bertrand
Pubblicato in: Journal of Neurology, Neurosurgery & Psychiatry, Numero 90/4, 2019, Pagina/e 387-394, ISSN 0022-3050
Editore: BMJ Publishing Group
DOI: 10.1136/jnnp-2018-318994

Spatiotemporal Propagation of the Cortical Atrophy: Population and Individual Patterns

Autori: Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman
Pubblicato in: Frontiers in Neurology, Numero 9, 2018, ISSN 1664-2295
Editore: Frontiers Research Foundation
DOI: 10.3389/fneur.2018.00235

An Automated Pipeline for the Analysis of PET Data on the Cortical Surface

Autori: Arnaud Marcoux, Ninon Burgos, Anne Bertrand, Marc Teichmann, Alexandre Routier, Junhao Wen, Jorge Samper-González, Simona Bottani, Stanley Durrleman, Marie-Odile Habert, Olivier Colliot
Pubblicato in: Frontiers in Neuroinformatics, Numero 12, 2018, ISSN 1662-5196
Editore: Frontiers Research Foundation
DOI: 10.3389/fninf.2018.00094

Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort

Autori: Claire Cury, Stanley Durrleman, David M. Cash, Marco Lorenzi, Jennifer M. Nicholas, Martina Bocchetta, John C. van Swieten, Barbara Borroni, Daniela Galimberti, Mario Masellis, Maria Carmela Tartaglia, James B. Rowe, Caroline Graff, Fabrizio Tagliavini, Giovanni B. Frisoni, Robert Laforce, Elizabeth Finger, Alexandre de Mendonça, Sandro Sorbi, Sebastien Ourselin, Jonathan D. Rohrer, Marc Modat, C
Pubblicato in: NeuroImage, Numero 188, 2019, Pagina/e 282-290, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2018.11.063

A Fanning Scheme for the Parallel Transport along Geodesics on Riemannian Manifolds

Autori: Maxime Louis, Benjamin Charlier, Paul Jusselin, Susovan Pal, Stanley Durrleman
Pubblicato in: SIAM Journal on Numerical Analysis, Numero 56/4, 2018, Pagina/e 2563-2584, ISSN 0036-1429
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/17m1130617

Reduction of recruitment costs in preclinical AD trials: validation of automatic pre-screening algorithm for brain amyloidosis

Autori: Manon Ansart, Stéphane Epelbaum, Geoffroy Gagliardi, Olivier Colliot, Didier Dormont, Bruno Dubois, Harald Hampel, Stanley Durrleman
Pubblicato in: Statistical Methods in Medical Research, 2019, Pagina/e 096228021882303, ISSN 0962-2802
Editore: SAGE Publications
DOI: 10.1177/0962280218823036

Learning the spatiotemporal variability in longitudinal shape data sets

Autori: Alexandre Bône, Olivier Colliot, Stanley Durrleman
Pubblicato in: International Journal of Computer Vision, Numero 128/12, 2020, Pagina/e 2873-2896, ISSN 0920-5691
Editore: Kluwer Academic Publishers
DOI: 10.1007/s11263-020-01343-w

Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold

Autori: Clément Mantoux, Baptiste Couvy-Duchesne, Federica Cacciamani, Stéphane Epelbaum, Stanley Durrleman, Stéphanie Allassonnière
Pubblicato in: Entropy, Numero 23/4, 2021, Pagina/e 490, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e23040490

Book chapters (7)

Riemannian Geometry Learning for Disease Progression Modelling

Autori: Maxime Louis, Raphaël Couronné, Igor Koval, Benjamin Charlier, Stanley Durrleman
Pubblicato in: Information Processing in Medical Imaging, 2019, Pagina/e 542-553, ISBN 978-3-030-20350-4
Editore: Springer
DOI: 10.1007/978-3-030-20351-1_42

Longitudinal Self-supervision to Disentangle Inter-patient Variability from Disease Progression

Autori: Raphaël Couronné, Paul Vernhet, Stanley Durrleman
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part II, Numero 12902, 2021, Pagina/e 231-241, ISBN 978-3-030-87195-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-87196-3_22

Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories

Autori: Vianney Debavelaere, Alexandre Bône, Stanley Durrleman, Stéphanie Allassonnière
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part IV, Numero 11767, 2019, Pagina/e 66-74, ISBN 978-3-030-32250-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-32251-9_8

Prediction of Amyloidosis from Neuropsychological and MRI Data for Cost Effective Inclusion of Pre-symptomatic Subjects in Clinical Trials

Autori: Manon Ansart, Stéphane Epelbaum, Geoffroy Gagliardi, Olivier Colliot, Didier Dormont, Bruno Dubois, Harald Hampel, Stanley Durrleman
Pubblicato in: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, Numero 10553, 2017, Pagina/e 357-364, ISBN 978-3-319-67557-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-67558-9_41

Deformetrica 4: An Open-Source Software for Statistical Shape Analysis

Autori: Alexandre Bône, Maxime Louis, Benoît Martin, Stanley Durrleman
Pubblicato in: Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings, Numero 11167, 2018, Pagina/e 3-13, ISBN 978-3-030-04746-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-04747-4_1

Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders

Autori: Alexandre Bône, Maxime Louis, Olivier Colliot, Stanley Durrleman
Pubblicato in: Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings, Numero 11492, 2019, Pagina/e 195-207, ISBN 978-3-030-20350-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-20351-1_15

Learning Joint Shape and Appearance Representations with Metamorphic Auto-Encoders

Autori: Alexandre Bône, Paul Vernhet, Olivier Colliot, Stanley Durrleman
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I, Numero 12261, 2020, Pagina/e 202-211, ISBN 978-3-030-59709-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-59710-8_20

Conference proceedings (4)

Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks

Autori: I. Koval, J.-B. Schiratti, A. Routier, M. Bacci, O. Colliot, S. Allassonnière, S. Durrleman
Pubblicato in: International Conference on Medical Image Computing and Computer-Assisted Intervention, 2017, Pagina/e 451-459
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-66182-7_52

Prediction of the progression of subcortical brain structures in Alzheimer’s disease from baseline

Autori: Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman
Pubblicato in: International Workshop on Mathematical Foundations of Computational Anatomy, 2017, Pagina/e 101-113
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-67675-3_10

Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms

Autori: Bône , Alexandre; Colliot , Olivier; Durrleman , Stanley
Pubblicato in: CVPR 2018 - Computer Vision and Pattern Recognition 2018, Jun 2018, Salt Lake City, United States, Numero 2, 2018
Editore: IEEE

Learning Disease Progression Models With Longitudinal Data and Missing Values

Autori: Raphael Couronne, Marie Vidailhet, Jean Christophe Corvol, Stephane Lehericy, Stanley Durrleman
Pubblicato in: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, Pagina/e 1033-1037, ISBN 978-1-5386-3641-1
Editore: IEEE
DOI: 10.1109/isbi.2019.8759198