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

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

Auteurs: Vianney Debavelaere, Stanley Durrleman, Stéphanie Allassonnière
Publié dans: International Journal of Computer Vision, Numéro 128/12, 2020, Page(s) 2794-2809, ISSN 0920-5691
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s11263-020-01337-8

AD Course Map charts Alzheimer’s disease progression

Auteurs: 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
Publié dans: Scientific Reports, Numéro 11/1, 2021, ISSN 2045-2322
Éditeur: 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

Auteurs: Schiratti, Jean-Baptiste; Allassonniere, Stéphanie; Colliot, Olivier; Durrleman, Stanley
Publié dans: Journal of Machine Learning Research, Numéro 18, 2017, Page(s) 1-33, ISSN 1532-4435
Éditeur: MIT Press

Geodesic shape regression with multiple geometries and sparse parameters

Auteurs: James Fishbaugh, Stanley Durrleman, Marcel Prastawa, Guido Gerig
Publié dans: Medical Image Analysis, Numéro 39, 2017, Page(s) 1-17, ISSN 1361-8415
Éditeur: 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

Auteurs: H. Hampel, S. E. O’Bryant, S. Durrleman, E. Younesi, K. Rojkova, V. Escott-Price, J-C. Corvol, K. Broich, B. Dubois, S. Lista
Publié dans: Climacteric, Numéro 20/2, 2017, Page(s) 107-118, ISSN 1369-7137
Éditeur: Parthenon Publishing Group
DOI: 10.1080/13697137.2017.1287866

Revolution of Alzheimer Precision Neurology Passageway of Systems Biology and Neurophysiology

Auteurs: 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
Publié dans: Journal of Alzheimer's Disease, 2018, Page(s) 1-59, ISSN 1387-2877
Éditeur: IOS Press
DOI: 10.3233/JAD-179932

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

Auteurs: 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
Publié dans: NeuroImage, Numéro 183, 2018, Page(s) 504-521, ISSN 1053-8119
Éditeur: Academic Press
DOI: 10.1016/j.neuroimage.2018.08.042

Neurite density is reduced in the presymptomatic phase of C9orf72 disease

Auteurs: 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
Publié dans: Journal of Neurology, Neurosurgery & Psychiatry, Numéro 90/4, 2019, Page(s) 387-394, ISSN 0022-3050
Éditeur: BMJ Publishing Group
DOI: 10.1136/jnnp-2018-318994

Spatiotemporal Propagation of the Cortical Atrophy: Population and Individual Patterns

Auteurs: Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman
Publié dans: Frontiers in Neurology, Numéro 9, 2018, ISSN 1664-2295
Éditeur: Frontiers Research Foundation
DOI: 10.3389/fneur.2018.00235

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

Auteurs: Arnaud Marcoux, Ninon Burgos, Anne Bertrand, Marc Teichmann, Alexandre Routier, Junhao Wen, Jorge Samper-González, Simona Bottani, Stanley Durrleman, Marie-Odile Habert, Olivier Colliot
Publié dans: Frontiers in Neuroinformatics, Numéro 12, 2018, ISSN 1662-5196
Éditeur: 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

Auteurs: 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
Publié dans: NeuroImage, Numéro 188, 2019, Page(s) 282-290, ISSN 1053-8119
Éditeur: Academic Press
DOI: 10.1016/j.neuroimage.2018.11.063

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

Auteurs: Maxime Louis, Benjamin Charlier, Paul Jusselin, Susovan Pal, Stanley Durrleman
Publié dans: SIAM Journal on Numerical Analysis, Numéro 56/4, 2018, Page(s) 2563-2584, ISSN 0036-1429
Éditeur: 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

Auteurs: Manon Ansart, Stéphane Epelbaum, Geoffroy Gagliardi, Olivier Colliot, Didier Dormont, Bruno Dubois, Harald Hampel, Stanley Durrleman
Publié dans: Statistical Methods in Medical Research, 2019, Page(s) 096228021882303, ISSN 0962-2802
Éditeur: SAGE Publications
DOI: 10.1177/0962280218823036

Learning the spatiotemporal variability in longitudinal shape data sets

Auteurs: Alexandre Bône, Olivier Colliot, Stanley Durrleman
Publié dans: International Journal of Computer Vision, Numéro 128/12, 2020, Page(s) 2873-2896, ISSN 0920-5691
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s11263-020-01343-w

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

Auteurs: Clément Mantoux, Baptiste Couvy-Duchesne, Federica Cacciamani, Stéphane Epelbaum, Stanley Durrleman, Stéphanie Allassonnière
Publié dans: Entropy, Numéro 23/4, 2021, Page(s) 490, ISSN 1099-4300
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e23040490

Riemannian Geometry Learning for Disease Progression Modelling

Auteurs: Maxime Louis, Raphaël Couronné, Igor Koval, Benjamin Charlier, Stanley Durrleman
Publié dans: Information Processing in Medical Imaging, 2019, Page(s) 542-553, ISBN 978-3-030-20350-4
Éditeur: Springer
DOI: 10.1007/978-3-030-20351-1_42

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

Auteurs: Raphaël Couronné, Paul Vernhet, Stanley Durrleman
Publié dans: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part II, Numéro 12902, 2021, Page(s) 231-241, ISBN 978-3-030-87195-6
Éditeur: 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

Auteurs: Vianney Debavelaere, Alexandre Bône, Stanley Durrleman, Stéphanie Allassonnière
Publié dans: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part IV, Numéro 11767, 2019, Page(s) 66-74, ISBN 978-3-030-32250-2
Éditeur: 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

Auteurs: Manon Ansart, Stéphane Epelbaum, Geoffroy Gagliardi, Olivier Colliot, Didier Dormont, Bruno Dubois, Harald Hampel, Stanley Durrleman
Publié dans: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, Numéro 10553, 2017, Page(s) 357-364, ISBN 978-3-319-67557-2
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-67558-9_41

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

Auteurs: Alexandre Bône, Maxime Louis, Benoît Martin, Stanley Durrleman
Publié dans: Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings, Numéro 11167, 2018, Page(s) 3-13, ISBN 978-3-030-04746-7
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-04747-4_1

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

Auteurs: Alexandre Bône, Maxime Louis, Olivier Colliot, Stanley Durrleman
Publié dans: Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings, Numéro 11492, 2019, Page(s) 195-207, ISBN 978-3-030-20350-4
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-20351-1_15

Learning Joint Shape and Appearance Representations with Metamorphic Auto-Encoders

Auteurs: Alexandre Bône, Paul Vernhet, Olivier Colliot, Stanley Durrleman
Publié dans: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I, Numéro 12261, 2020, Page(s) 202-211, ISBN 978-3-030-59709-2
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-59710-8_20

Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks

Auteurs: I. Koval, J.-B. Schiratti, A. Routier, M. Bacci, O. Colliot, S. Allassonnière, S. Durrleman
Publié dans: International Conference on Medical Image Computing and Computer-Assisted Intervention, 2017, Page(s) 451-459
Éditeur: 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

Auteurs: Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman
Publié dans: International Workshop on Mathematical Foundations of Computational Anatomy, 2017, Page(s) 101-113
Éditeur: 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

Auteurs: Bône , Alexandre; Colliot , Olivier; Durrleman , Stanley
Publié dans: CVPR 2018 - Computer Vision and Pattern Recognition 2018, Jun 2018, Salt Lake City, United States, Numéro 2, 2018
Éditeur: IEEE

Learning Disease Progression Models With Longitudinal Data and Missing Values

Auteurs: Raphael Couronne, Marie Vidailhet, Jean Christophe Corvol, Stephane Lehericy, Stanley Durrleman
Publié dans: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, Page(s) 1033-1037, ISBN 978-1-5386-3641-1
Éditeur: IEEE
DOI: 10.1109/isbi.2019.8759198

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