LATEST PUBLICATIONS

The latest publications of the members of Aramis are illustrated below.
Click on any of them to discover the authors, a general overview of the article, the abstract and much more.

 

Forecasting individual progression trajectories in Alzheimer’s disease

By Etienne Maheux, Igor Koval, Juliette Ortholand, Colin Birkenbihl, Damiano Archetti, Vincent Bouteloup, Stéphane Epelbaum, Carole Dufouil, Martin Hofmann-Apitius & Stanley Durrleman

Disease Progression Modelling Alzheimer's disease Prognostic Enrichment Forecast of cognitive decline

Progression models for imaging data with Longitudinal Variational Auto Encoders

By Benoît Sauty, Stanley Durrleman

Disease Progression Modelling Medical imaging

Riemannian metric learning for progression modeling of longitudinal datasets

By Benoît Sauty, Stanley Durrleman

Disease Progression Modelling Alzheimer's disease Forecast of cognitive decline

AD Course Map charts Alzheimer’s disease progression

By 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

Alzheimer's disease Disease Progression Modelling Forecast of cognitive decline multimodality

Integrating multimodal network properties to study brain-computer interface training

By Marie-Constance Corsi, Mario Chavez D.Schwartz, Nathalie George, Laurent Hugueville, Ari E. Kahn, Sophie Dupont, Danielle S. Bassett, Fabrizio De Vico Fallani

BCI training MEG EEG Multilayer networks Brain networks

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part III

By Martel, A.L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M.A., Zhou, S.K., Racoceanu, D., Joskowicz, L. (Eds.)

MICCAI 2020 – Proceedings (Part II)

By Martel, A.L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M.A., Zhou, S.K., Racoceanu, D., Joskowicz, L. (Eds.)

Medical imaging Deep learning

MICCAI 2020 – Proceedings (Part I)

By Martel, A.L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M.A., Zhou, S.K., Racoceanu, D., Joskowicz, L. (Eds.)

Deep learning Medical imaging

The ethics of innovation for Alzheimer’s disease

By Timothy Daly, Ignacio Mastroleo, David Gorski, Stéphane Epelbaum

Biomedical ethics Alzheimer's disease Integrative medicine Clinical ethics Dementia Innovation Diffusion of innovation

Systematically underestimating one’s own cognitive decline may be a sign of Alzheimer’s

By Federica Cacciamani, Luisa Sambati, Marion Houot, Marie-Odile Habert, Bruno Dubois, Stéphane Epelbaum, on behalf of the INSIGHT-PreAD study group

Alzheimer's disease Amyloid Anosognosia

A Reliable and Rapid Language Tool for the Diagnosis, Classification, and Follow-Up of Primary Progressive Aphasia Variants

By Stéphane Epelbaum, Yasmina Michel Saade, Constance Flamand Roze, Emmanuel Roze, Sophie Ferrieux, Céline Arbizu, Marie Nogues, Carole Azuar,Bruno Dubois, Sophie Tezenas du Montcel and Marc Teichmann

Alzheimer's disease Neurology Primary progressive aphasia

Deep learning for brain disorders

By Ninon Burgos; Simona Bottani; Johann Faouzi; Elina Thibeau-Sutre; Olivier Colliot

Deep learning Neurology Medical imaging Genomics

Plasma microRNA signature

By Virgilio Kmetzsch; Vincent Anquetil; Dario Saracino; Daisy Rinaldi; Agnès Camuzat; Thomas Gareau; Ludmila Jornea; Sylvie Forlani; Philippe Couratier; David Wallon; Florence Pasquier; Noémie Robil; Pierre de la Grange; Ivan Moszer; Isabelle Le Ber; Olivier Colliot; Emmanuelle Becker; The PREV-DEMALS study group

Frontotemporal Dementia Amyotrophic Lateral Sclerosis MicroRNAs Biomarkers