Deliverables Websites, patent fillings, videos etc. (35) Paper: advanced models of dementia Developing disease understanding. Paper: network model evaluation Evaluation of progression-informed network propagation models for prion disease. Implications for network models in other diseases, particularly dementia. Paper: network propagation models in dementia Test the prion hypothesis of disease propagation, among others. Paper: subtype models of prion disease Advanced estimation of subtypes to identify distinct phenotypes. International workshop Provisionally titled: “Diagnosis, staging, and prognosis through disease progression modelling”. To include international speakers from science and industry, with personal invitations extended to Clinical Trial Management companies and Clinical Trial units. The dementia software tool will be demonstrated at the workshop, along with other models. Paper: demo on clinical trial data Demonstrating the system on clinical trial data. Paper: basic models of neurodevelopment Basic multimodal models to understand normal and abnormal neurological development. Paper: staging system — feasibility, clinical value Examine the potential of a model-based staging system for early assessment of the risk of neurodevelopment disorder. Paper: neurodevelopment — genetic and clinical factors Influence of genetics and clinical factors on neurodevelopment. Paper: data-driven subtype analysis Providing fundamental new knowledge on dementia subtypes. Paper: simulation framework Dissemination of our framework. Paper: advanced MS models Combining useful elements from basic models of MS. Web-based application: dementia ncluding dementia in our web-based application. Website and Mailing List Communication (internal and external) of results, and for online meetings. Paper: basic models of ageing Getting a reference point (normal ageing) for sporadic neurological diseases. Paper: basic models of prion disease Multimodal models of changes in prion disease. Paper: MS network models Network models from WP4 exploring links between observed pathology. Paper: full consortium review article Summarise the outcomes of EuroPOND (closely matching the Final Report). Paper: advanced models of neurodevelopment Combining useful elements from basic models of neurodevelopment. Paper: advanced models of prion disease Combining useful elements from basic models of prion disease. Paper: basic models of dementia Developing disease understanding. Paper: unified modelling framework Dissemination of our unified modelling framework. Paper: Bayesian spatio-temporal models A new formulation of these models. Paper: MS subtypes Shed light on debate over traditional clinical subtypes. Paper: network propagation models How such models fit into the framework. Paper: enhanced models Advancing models for features and robustness. Paper: dementia progression and fixed variables Answering key questions. Paper: ageing-informed models of dementia Models of dementia enhanced by inclusion of the effects of normal ageing, to highlight the pathological effects. Paper: refined EBM Update to the event-based model of disease progression. Paper: subtype models of population ageing Advanced estimation of subtypes to identify distinct phenotypes. Paper: advanced models of ageing New knowledge on normal ageing for enhancing models of neurological diseases. Paper: basic MS models Multimodal models of changes in MS. Paper: population ageing — genetic and demographic factors Influence of genetics and demographics on normal ageing and dementia. Open source software tool This will have primary Impact within the research community, but will be developed with clinical usage in mind. Paper: Bayesian scalar trajectory models A new formulation of these models. Documents, reports (1) Final best-practice guidelines For ensuring consistency and soundness of conclusions across application areas. Demonstrators, pilots, prototypes (1) Web-based application Updated from earlier prototype in D6.2. Publications Conference proceedings (11) Modelling the temporal cascade of abnormalities in diffusion magnetic resonance imaging in sporadic Creutzfeldt-Jakob disease Author(s): Riccardo Pascuzzo, Vikram Venkatraghavan, Marco Moscatelli, Marina Grisoli, Esther E. Bron, Stefan Klein, Janis Blevins, Gianmarco Castelli, Lawrence B. Schonberger, Pierluigi Gambetti, Brian S. Appleby, Alberto Bizzi Published in: 2020 Publisher: Mirasmart Strain-specific disease progression patterns of sporadic Creutzfeldt-Jakob disease revealed by Subtype and Stage Inference model Author(s): Riccardo Pascuzzo, Alexandra L. Young, Neil P. Oxtoby, Janis Blevins, Gianmarco Castelli, Pierluigi Gambetti, Brian S. Appleby, Daniel C. Alexander, and Alberto Bizzi Published in: 2020 Publisher: Mirasmart Learning Distributions of Shape Trajectories from Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms Author(s): Alexandre Bone, Olivier Colliot, Stanley Durrleman Published in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Page(s) 9271-9280, ISBN 978-1-5386-6420-9 Publisher: IEEE DOI: 10.1109/cvpr.2018.00966 Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data Author(s): Jorge Samper-Gonzalez, Ninon Burgos, Simona Bottani, Marie-Odile Habert, Theodoros Evgeniou, Stephane Epelbaum, Olivier Colliot Published in: Medical Imaging 2019: Image Processing, 2019, Page(s) 30, ISBN 9781-510625464 Publisher: SPIE DOI: 10.1117/12.2512430 Auto-encoding meshes of any topology with the current-splatting and exponentiation layers Author(s): Alexandre Bône, Olivier Colliot, Stanley Durrleman Published in: 2019 Publisher: HAL Id Hierarchical modeling of Alzheimer’s disease progression from a large longitudinal MRI data set Author(s): Alexandre Bône, Benoît Martin, Maxime Louis, Olivier Colliot, Stanley Durrleman Published in: 2019 Publisher: HAL Predicting the Progression of Mild Cognitive Impairment Using Machine Learning: A Systematic and Quantitative Review Author(s): Manon Ansart, Stéphane Epelbaum, Giulia Bassignana, Alexandre Bône, Simona Bottani, Tiziana Cattai, Raphael Couronne, Johann Faouzi, Igor Koval, Maxime Louis, et al. Published in: 2019 Publisher: HAL Learning the spatiotemporal variability in longitudinal shape data sets Author(s): Alexandre Bône, Olivier Colliot, Stanley Durrleman Published in: 2019 Publisher: https://hal.inria.fr/hal-02091549v4/document Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects Author(s): Igor Koval, Stéphanie Allassonnière, Stanley Durrleman Published in: 2019 Publisher: HAL Disease Progression Modeling and Prediction through Random Effect Gaussian Processes and Time Transformation Author(s): Marco Lorenzi, Maurizio Filippone, Daniel C. Alexander, Sebastien Ourselin Published in: 2016 Publisher: Cornell University Library Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline Author(s): Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman Published in: 2017 Publisher: https://hal.archives-ouvertes.fr/ Peer reviewed articles (31) Learning the spatiotemporal variability in longitudinal shape data sets Author(s): Alexandre Bône, Olivier Colliot, Stanley Durrleman Published in: International Journal of Computer Vision, Issue 128/12, 2020, Page(s) 2873-2896, ISSN 0920-5691 Publisher: Kluwer Academic Publishers DOI: 10.1007/s11263-020-01343-w Preterm birth leads to impaired rich-club organization and fronto-paralimbic/limbic structural connectivity in newborns Author(s): Joana Sa de Almeida, Djalel-Eddine Meskaldji, Serafeim Loukas, Lara Lordier, Laura Gui, François Lazeyras, Petra S. Hüppi Published in: NeuroImage, Issue 225, 2021, Page(s) 117440, ISSN 1053-8119 Publisher: Academic Press DOI: 10.1016/j.neuroimage.2020.117440 Prion propagation estimated from brain diffusion MRI is subtype dependent in sporadic Creutzfeldt–Jakob disease Author(s): Riccardo Pascuzzo, Neil P. Oxtoby, Alexandra L. Young, Janis Blevins, Gianmarco Castelli, Sara Garbarino, Mark L. Cohen, Lawrence B. Schonberger, Pierluigi Gambetti, Brian S. Appleby, Daniel C. Alexander, Alberto Bizzi Published in: Acta Neuropathologica, Issue 140/2, 2020, Page(s) 169-181, ISSN 0001-6322 Publisher: Springer Verlag DOI: 10.1007/s00401-020-02168-0 Subtype Diagnosis of Sporadic Creutzfeldt–Jakob Disease with Diffusion Magnetic Resonance Imaging Author(s): Alberto Bizzi, Riccardo Pascuzzo, Janis Blevins, Marco E. M. Moscatelli, Marina Grisoli, Raffaele Lodi, Fabio M. Doniselli, Gianmarco Castelli, Mark L. Cohen, Aymeric Stamm, Lawrence B. Schonberger, Brian S. Appleby, Pierluigi Gambetti Published in: Annals of Neurology, 2020, ISSN 0364-5134 Publisher: John Wiley & Sons Inc. DOI: 10.1002/ana.25983 Automated MRI volumetry as a diagnostic tool for Alzheimer's disease: Validation of icobrain dm Author(s): Hanne Struyfs, Diana Maria Sima, Melissa Wittens, Annemie Ribbens, Nuno Pedrosa de Barros, Thanh Vân Phan, Maria Ines Ferraz Meyer, Lene Claes, Ellis Niemantsverdriet, Sebastiaan Engelborghs, Wim Van Hecke, Dirk Smeets Published in: NeuroImage: Clinical, Issue 26, 2020, Page(s) 102243, ISSN 2213-1582 Publisher: Elsevier BV DOI: 10.1016/j.nicl.2020.102243 Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation Author(s): Junhao Wen, Elina Thibeau-Sutre, Mauricio Diaz-Melo, Jorge Samper-González, Alexandre Routier, Simona Bottani, Didier Dormont, Stanley Durrleman, Ninon Burgos, Olivier Colliot Published in: Medical Image Analysis, Issue 63, 2020, Page(s) 101694, ISSN 1361-8415 Publisher: Elsevier BV DOI: 10.1016/j.media.2020.101694 Longitudinal study of neonatal brain tissue volumes in preterm infants and their ability to predict neurodevelopmental outcome Author(s): L. Gui, S. Loukas, F. Lazeyras, P.S. Hüppi, D.E. Meskaldji, C. Borradori Tolsa Published in: NeuroImage, Issue 185, 2019, Page(s) 728-741, ISSN 1053-8119 Publisher: Academic Press DOI: 10.1016/j.neuroimage.2018.06.034 A spatio-temporal reference model of the aging brain Author(s): W. Huizinga, D.H.J. Poot, M.W. Vernooij, G.V. Roshchupkin, E.E. Bron, M.A. Ikram, D. Rueckert, W.J. Niessen, S. Klein Published in: NeuroImage, Issue 169, 2018, Page(s) 11-22, ISSN 1053-8119 Publisher: Academic Press DOI: 10.1016/j.neuroimage.2017.10.040 Trajectories of imaging markers in brain aging: the Rotterdam Study Author(s): Elisabeth J. Vinke, Marius de Groot, Vikram Venkatraghavan, Stefan Klein, Wiro J. Niessen, M. Arfan Ikram, Meike W. Vernooij Published in: Neurobiology of Aging, Issue 71, 2018, Page(s) 32-40, ISSN 0197-4580 Publisher: Elsevier BV DOI: 10.1016/j.neurobiolaging.2018.07.001 Spatiotemporal Propagation of the Cortical Atrophy: Population and Individual Patterns Author(s): Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman Published in: Frontiers in Neurology, Issue 9, 2018, ISSN 1664-2295 Publisher: Frontiers Research Foundation DOI: 10.3389/fneur.2018.00235 Progression of regional grey matter atrophy in multiple sclerosis Author(s): Arman Eshaghi, Razvan V Marinescu, Alexandra L Young, Nicholas C Firth, Ferran Prados, M Jorge Cardoso, Carmen Tur, Floriana De Angelis, Niamh Cawley, Wallace J Brownlee, Nicola De Stefano, M Laura Stromillo, Marco Battaglini, Serena Ruggieri, Claudio Gasperini, Massimo Filippi, Maria A Rocca, Alex Rovira, Jaume Sastre-Garriga, Jeroen J G Geurts, Hugo Vrenken, Viktor Wottschel, Cyra E Leurs, Berna Published in: Brain, Issue 141/6, 2018, Page(s) 1665-1677, ISSN 0006-8950 Publisher: Oxford University Press DOI: 10.1093/brain/awy088 Early Cognitive, Structural, and Microstructural Changes in Presymptomatic C9orf72 Carriers Younger Than 40 Years Author(s): Anne Bertrand, Junhao Wen, Daisy Rinaldi, Marion Houot, Sabrina Sayah, Agnès Camuzat, Clémence Fournier, Sabrina Fontanella, Alexandre Routier, Philippe Couratier, Florence Pasquier, Marie-Odile Habert, Didier Hannequin, Olivier Martinaud, Paola Caroppo, Richard Levy, Bruno Dubois, Alexis Brice, Stanley Durrleman, Olivier Colliot, Isabelle Le Ber Published in: JAMA Neurology, Issue 75/2, 2018, Page(s) 236, ISSN 2168-6149 Publisher: American Medical Association DOI: 10.1001/jamaneurol.2017.4266 Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling Author(s): Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein Published in: NeuroImage, Issue 186, 2019, Page(s) 518-532, ISSN 1053-8119 Publisher: Academic Press DOI: 10.1016/j.neuroimage.2018.11.024 Data-driven models of dominantly-inherited Alzheimer’s disease progression Author(s): Neil P Oxtoby, Alexandra L Young, David M Cash, Tammie L S Benzinger, Anne M Fagan, John C Morris, Randall J Bateman, Nick C Fox, Jonathan M Schott, Daniel C Alexander Published in: Brain, Issue 141/5, 2018, Page(s) 1529-1544, ISSN 0006-8950 Publisher: Oxford University Press DOI: 10.1093/brain/awy050 Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference Author(s): Alexandra L Young, Razvan V Marinescu, Neil P Oxtoby, Martina Bocchetta, Keir Yong, Nicholas C Firth, David M Cash, David L Thomas, Katrina M Dick, Jorge Cardoso, John 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 Published in: Nature Communications, Issue 9/1, 2018, ISSN 2041-1723 Publisher: Nature Publishing Group DOI: 10.1038/s41467-018-05892-0 Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease Author(s): Marco Lorenzi, Maurizio Filippone, Giovanni B. Frisoni, Daniel C. Alexander, Sebastien Ourselin Published in: NeuroImage, Issue 190, 2019, Page(s) 56-68, ISSN 1053-8119 Publisher: Academic Press DOI: 10.1016/j.neuroimage.2017.08.059 Data-Driven Sequence of Changes to Anatomical Brain Connectivity in Sporadic Alzheimer’s Disease Author(s): Neil P. Oxtoby, Sara Garbarino, Nicholas C. Firth, Jason D. Warren, Jonathan M. Schott, Daniel C. Alexander Published in: Frontiers in Neurology, Issue 8, 2017, ISSN 1664-2295 Publisher: Frontiers Research Foundation DOI: 10.3389/fneur.2017.00580 Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data Author(s): 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 Published in: NeuroImage, Issue 183, 2018, Page(s) 504-521, ISSN 1053-8119 Publisher: Academic Press DOI: 10.1016/j.neuroimage.2018.08.042 DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders Author(s): Răzvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander Published in: NeuroImage, Issue 192, 2019, Page(s) 166-177, ISSN 1053-8119 Publisher: Academic Press DOI: 10.1016/j.neuroimage.2019.02.053 Automatic normative quantification of brain tissue volume to support the diagnosis of dementia: A clinical evaluation of diagnostic accuracy Author(s): Meike W. Vernooij, Bas Jasperse, Rebecca Steketee, Marcel Koek, Henri Vrooman, M. Arfan Ikram, Janne Papma, Aad van der Lugt, Marion Smits, Wiro J. Niessen Published in: NeuroImage: Clinical, Issue 20, 2018, Page(s) 374-379, ISSN 2213-1582 Publisher: Elsevier BV DOI: 10.1016/j.nicl.2018.08.004 Predicting Global Cognitive Decline in the General Population Using the Disease State Index Author(s): Lotte G. M. Cremers, Wyke Huizinga, Wiro J. Niessen, Gabriel P. Krestin, Dirk H. J. Poot, M. Arfan Ikram, Jyrki Lötjönen, Stefan Klein, Meike W. Vernooij Published in: Frontiers in Aging Neuroscience, Issue 11, 2020, ISSN 1663-4365 Publisher: Frontiers Research Foundation DOI: 10.3389/fnagi.2019.00379 Multi-study validation of data-driven disease progression models to characterize evolution of biomarkers in Alzheimer's disease Author(s): Damiano Archetti, Silvia Ingala, Vikram Venkatraghavan, Viktor Wottschel, Alexandra L. Young, Maura Bellio, Esther E. Bron, Stefan Klein, Frederik Barkhof, Daniel C. Alexander, Neil P. Oxtoby, Giovanni B. Frisoni, Alberto Redolfi Published in: NeuroImage: Clinical, Issue 24, 2019, Page(s) 101954, ISSN 2213-1582 Publisher: Elsevier BV DOI: 10.1016/j.nicl.2019.101954 Differences in topological progression profile among neurodegenerative diseases from imaging data Author(s): Sara Garbarino, Marco Lorenzi, Neil P Oxtoby, Elisabeth J Vinke, Razvan V Marinescu, Arman Eshaghi, M Arfan Ikram, Wiro J Niessen, Olga Ciccarelli, Frederik Barkhof, Jonathan M Schott, Meike W Vernooij, Daniel C Alexander Published in: eLife, Issue 8, 2019, ISSN 2050-084X Publisher: eLife Sciences Publications DOI: 10.7554/elife.49298 Normative brain volumetry derived from different reference populations: impact on single-subject diagnostic assessment in dementia Author(s): Elisabeth J. Vinke, Wyke Huizinga, Martin Bergtholdt, Hieab H. Adams, Rebecca M.E. Steketee, Janne M. Papma, Frank J. de Jong, Wiro J. Niessen, M. Arfan Ikram, Fabian Wenzel, Meike W. Vernooij Published in: Neurobiology of Aging, Issue 84, 2019, Page(s) 9-16, ISSN 0197-4580 Publisher: Elsevier BV DOI: 10.1016/j.neurobiolaging.2019.07.008 SVM recursive feature elimination analyses of structural brain MRI predicts near-term relapses in patients with clinically isolated syndromes suggestive of multiple sclerosis Author(s): Viktor Wottschel, Declan T. Chard, Christian Enzinger, Massimo Filippi, Jette L. Frederiksen, Claudio Gasperini, Antonio Giorgio, Maria A. Rocca, Alex Rovira, Nicola De Stefano, Mar Tintoré, Daniel C. Alexander, Frederik Barkhof, Olga Ciccarelli Published in: NeuroImage: Clinical, Issue 24, 2019, Page(s) 102011, ISSN 2213-1582 Publisher: Elsevier BV DOI: 10.1016/j.nicl.2019.102011 Music in premature infants enhances high-level cognitive brain networks Author(s): Lara Lordier, Djalel-Eddine Meskaldji, Frédéric Grouiller, Marie P. Pittet, Andreas Vollenweider, Lana Vasung, Cristina Borradori-Tolsa, François Lazeyras, Didier Grandjean, Dimitri Van De Ville, Petra S. Hüppi Published in: Proceedings of the National Academy of Sciences, 2019, Page(s) 201817536, ISSN 0027-8424 Publisher: National Academy of Sciences DOI: 10.1073/pnas.1817536116 Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease Author(s): Claire Cury, Marco Lorenzi, David Cash, Jennifer M. Nicholas, Alexandre Routier, Jonathan Rohrer, Sebastien Ourselin, Stanley Durrleman, Marc Modat Published in: Springer, 2016, Page(s) 63-75, ISSN 0018-1560 Publisher: Kluwer Academic Publishers DOI: 10.1007/978-3-319-51237-2_6 A DATA-DRIVEN COMPARISON OF THE PROGRESSION OF BRAIN ATROPHY IN POSTERIOR CORTICAL ATROPHY AND ALZHEIMER'S DISEASE Author(s): Razvan Valentin Marinescu, Alexandra L. Young, Neil P. Oxtoby, Nicholas C. Firth, Marco Lorenzi, Arman Eshaghi, Viktor Wottschel, M. Jorge Cardoso, Marc Modat, Keir Yong, Silvia Primativo, Nick C. Fox, Manja Lehmann, Timothy J. Shakespeare, Sebastian J. Crutch, Daniel C. Alexander Published in: Alzheimer's & Dementia, Issue 12/7, 2016, Page(s) P401-P402, ISSN 1552-5260 Publisher: Elsevier BV DOI: 10.1016/j.jalz.2016.06.756 Imaging plus X Author(s): Neil P. Oxtoby, Daniel C. Alexander Published in: Current Opinion in Neurology, Issue 30/4, 2017, Page(s) 371-379, ISSN 1350-7540 Publisher: Lippincott Williams & Wilkins Ltd. DOI: 10.1097/WCO.0000000000000460 The sequence of structural, functional and cognitive changes in multiple sclerosis Author(s): Iris Dekker, Menno M. Schoonheim, Vikram Venkatraghavan, Anand J.C. Eijlers, Iman Brouwer, Esther E. Bron, Stefan Klein, Mike P. Wattjes, Alle Meije Wink, Jeroen J.G. Geurts, Bernard M.J. Uitdehaag, Neil P. Oxtoby, Daniel C. Alexander, Hugo Vrenken, Joep Killestein, Frederik Barkhof, Viktor Wottschel Published in: NeuroImage: Clinical, Issue 29, 2021, Page(s) 102550, ISSN 2213-1582 Publisher: Elsevier BV DOI: 10.1016/j.nicl.2020.102550 Analyzing the effect of APOE on Alzheimer’s disease progression using an event-based model for stratified populations Author(s): Vikram Venkatraghavan, Stefan Klein, Lana Fani, Leontine S. Ham, Henri Vrooman, M. Kamran Ikram, Wiro J. Niessen, Esther E. Bron Published in: NeuroImage, Issue 227, 2021, Page(s) 117646, ISSN 1053-8119 Publisher: Academic Press DOI: 10.1016/j.neuroimage.2020.117646 Book chapters (9) Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks Author(s): I. Koval, J.-B. Schiratti, A. Routier, M. Bacci, O. Colliot, S. Allassonnière, S. Durrleman Published in: Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, Issue 10433, 2017, Page(s) 451-459, ISBN 978-3-319-66181-0 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-66182-7_52 Deformetrica 4: An Open-Source Software for Statistical Shape Analysis Author(s): Alexandre Bône, Maxime Louis, Benoît Martin, Stanley Durrleman Published in: Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings, Issue 11167, 2018, Page(s) 3-13, ISBN 978-3-030-04746-7 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-04747-4_1 A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images Author(s): Răzvan Valentin Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Timothy J. Shakespeare, Sebastian J. Crutch, Daniel C. Alexander Published in: Information Processing in Medical Imaging, Issue 10265, 2017, Page(s) 134-145, ISBN 978-3-319-59049-3 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-59050-9_11 Prediction of Amyloidosis from Neuropsychological and MRI Data for Cost Effective Inclusion of Pre-symptomatic Subjects in Clinical Trials Author(s): Manon Ansart, Stéphane Epelbaum, Geoffroy Gagliardi, Olivier Colliot, Didier Dormont, Bruno Dubois, Harald Hampel, Stanley Durrleman Published in: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, Issue 10553, 2017, Page(s) 357-364, ISBN 978-3-319-67557-2 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-67558-9_41 Prediction of the Progression of Subcortical Brain Structures in Alzheimer’s Disease from Baseline Author(s): Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman Published in: Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, Issue 10551, 2017, Page(s) 101-113, ISBN 978-3-319-67674-6 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-67675-3_10 A Discriminative Event Based Model for Alzheimer’s Disease Progression Modeling Author(s): Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein Published in: Information Processing in Medical Imaging, Issue 10265, 2017, Page(s) 121-133, ISBN 978-3-319-59049-3 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-59050-9_10 TADPOLE Challenge: Accurate Alzheimer’s Disease Prediction Through Crowdsourced Forecasting of Future Data Author(s): Răzvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Polina Golland, Stefan Klein, Daniel C. Alexander Published in: Predictive Intelligence in Medicine - Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings, Issue 11843, 2019, Page(s) 1-10, ISBN 978-3-030-32280-9 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-32281-6_1 Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia Author(s): Vikram Venkatraghavan, Florian Dubost, Esther E. Bron, Wiro J. Niessen, Marleen de Bruijne, Stefan Klein Published in: Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings, Issue 11492, 2019, Page(s) 169-180, ISBN 978-3-030-20350-4 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-20351-1_13 Riemannian Geometry Learning for Disease Progression Modelling Author(s): Maxime Louis, Raphaël Couronné, Igor Koval, Benjamin Charlier, Stanley Durrleman Published in: Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings, Issue 11492, 2019, Page(s) 542-553, ISBN 978-3-030-20350-4 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-20351-1_42 Other (1) Simulating Alzheimer's disease progression with personalised digital brain models Author(s): Igor Koval, Alexandre Bône, Maxime Louis, Simona Bottani, Arnaud Marcoux, Jorge Samper-Gonzalez, Ninon Burgos, Benjamin Charlier, Anne Bertrand, Stéphane Epelbaum, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman Published in: 2018 Publisher: Inria Searching for OpenAIRE data... 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