The complete list of our publications is available on the HAL open archive .

Bottani, Simona, Ninon Burgos, Aurélien Maire, Dario Saracino, Sebastian Stroër, Didier Dormont, and Olivier Colliot. 2023. ‘Evaluation of MRI-Based Machine Learning Approaches for Computer-Aided Diagnosis of Dementia in a Clinical Data Warehouse’. Medical Image Analysis 89:102903. doi: 10.1016/j.media.2023.102903.

Hassanaly, Ravi, Camille Brianceau, Maëlys Solal, Olivier Colliot, and Ninon Burgos. 2024. ‘Evaluation of Pseudo-Healthy Image Reconstruction for Anomaly Detection with Deep Generative Models: Application to Brain FDG PET’. Journal of Machine Learning for Biomedical Imaging 2:611. doi: 10.59275/j.melba.2024-b87a.

Hemforth, Lisa, Baptiste Couvy-Duchesne, Kevin de Matos, Camille Brianceau, Matthieu Joulot, Tobias Banaschewski, Arun L. W. Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Dimitri Papadopoulos, Herve Lemaitre, Tomas Paus, Luise Poustka, Sarah Hohman, Nathalie Holz, Juliane H. Fröhner, Michael N. Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Christian Büchel, Jean-Baptiste Poline, Bernd Itterman, Vincent Frouin, Alexandre Martin, Claire Cury, and Olivier Colliot. 2024. ‘Automatic Rating of Incomplete Hippocampal Inversions Evaluated across Multiple Cohorts’. Journal of Machine Learning for Biomedical Imaging 2:1. doi: 10.59275/j.melba.2024-3d4e.

Loizillon, Sophie, Simona Bottani, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, and Ninon Burgos. 2024. ‘Automatic Motion Artefact Detection in Brain T1-Weighted Magnetic Resonance Images from a Clinical Data Warehouse Using Synthetic Data’. Medical Image Analysis 93:103073. doi: 10.1016/j.media.2023.103073.

Wei, Wen, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, and Olivier Colliot. 2019. ‘Predicting PET-Derived Demyelination from Multimodal MRI Using Sketcher-Refiner Adversarial Training for Multiple Sclerosis’. Medical Image Analysis 58(101546). doi: 10.1016/j.media.2019.101546.

Wen, Junhao, Elina Thibeau-Sutre, Mauricio Diaz-Melo, Jorge Samper-González, Alexandre Routier, Simona Bottani, Didier Dormont, Stanley Durrleman, Ninon Burgos, and Olivier Colliot. 2020. ‘Convolutional Neural Networks for Classification of Alzheimer’s Disease: Overview and Reproducible Evaluation’. Medical Image Analysis 63:101694. doi: 10.1016/j.media.2020.101694.

Bône, Alexandre, Olivier Colliot, and Stanley Durrleman. 2020. ‘Learning the Spatiotemporal Variability in Longitudinal Shape Data Sets’. International Journal of Computer Vision 128:2873. doi: 10.1007/s11263-020-01343-w.

Di Folco, Cécile, Aude Jabouley, Sonia Reyes, Carla Machado, Stéphanie Guey, Dominique Hervé, Fanny Fernandes, Joseph Agossa, Hugues Chabriat, and Sophie Tezenas Du Montcel. 2024. ‘CADA-PRO, a Patient Questionnaire Measuring Key Cognitive, Motor, Emotional and Behavioral Outcomes in CADASIL’. Stroke 55(10):2439-2448. doi: 10.1161/STROKEAHA.124.047692.

Koval, Igor, 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, and Stanley Durrleman. 2021. ‘AD Course Map Charts Alzheimer’s Disease Progression’. Scientific Reports 11(1). doi: 10.1038/s41598-021-87434-1.

Koval, Igor, Thomas Dighiero-Brecht, Allan J. Tobin, Sarah J. Tabrizi, Rachael I. Scahill, Sophie Tezenas Du Montcel, Stanley Durrleman, and Alexandra Durr. 2022. ‘Forecasting Individual Progression Trajectories in Huntington Disease Enables More Powered Clinical Trials’. Scientific Reports 12(1):18928. doi: 10.1038/s41598-022-18848-8.

Moulaire, Paul, Pierre Emmanuel Poulet, Emilien Petit, Thomas Klockgether, Alexandra Durr, Tetsuo Ashisawa, and Sophie Tezenas Du Montcel. 2023. ‘Temporal Dynamics of the Scale for the Assessment and Rating of Ataxia in Spinocerebellar Ataxias’. Movement Disorders 38(1):35–44. doi: 10.1002/mds.29255.

Petit, Emilien, Tanja Schmitz-Hübsch, Giulia Coarelli, Heike Jacobi, Anna Heinzmann, Karla Figueroa, Susan Perlman, Christopher Gomez, George Wilmot, Jeremy Schmahmann, Sarah Ying, Theresa Zesiewicz, Henry Paulson, Vikram Shakkottai, Khalaf Bushara, Sheng-Han Kuo, Michael Geschwind, Guangbin Xia, Stefan Pulst, S. Subramony, Claire Ewenczyk, Alexis Brice, Alexandra Durr, Thomas Klockgether, Tetsuo Ashizawa, and Sophie Tezenas Du Montcel. 2024. ‘SARA Captures Disparate Progression and Responsiveness in Spinocerebellar Ataxias’. Journal of Neurology. doi: 10.1007/s00415-024-12475-1.

Couvy-Duchesne, Baptiste, Vincent Frouin, Vincent Bouteloup, Nikitas Koussis, Julia Sidorenko, Jiyang Jiang, Alle Meije Wink, Luigi Lorenzini, Frederik Barkhof, Julian N. Trollor, Jean-François Mangin, Perminder S. Sachdev, Henry Brodaty, Michelle K. Lupton, Michael Breakspear, Olivier Colliot, Peter M. Visscher, and Naomi Wray. 2024. ‘Grey-Matter Structure Markers of Alzheimer’s Disease, Alzheimer’s Conversion, Functioning and Cognition: A Metaanalysis across 11 Cohorts’. Human Brain Mapping. doi: 10.1002/hbm.70089.

Couvy-duchesne, Baptiste, Lachlan T. Strike, Futao Zhang, Yan Holtz, Zhili Zheng, Kathryn E. Kemper, Loïc Yengo, Olivier Colliot, Margaret Wright, Naomi Wray, Jian Yang, and Peter M. Visscher. 2020. ‘A Unified Framework for Association and Prediction from Vertex-Wise Grey-Matter Structure’. Human Brain Mapping. doi: 10.1002/hbm.25109.

Couvy-Duchesne, Baptiste, Futao Zhang, Kathryn Kemper, Julia Sidorenko, Naomi Wray, Peter Visscher, Olivier Colliot, and Jian Yang. 2022. ‘Parsimonious Model for Mass-Univariate Vertexwise Analysis’. Journal of Medical Imaging 9(05). doi: 10.1117/1.JMI.9.5.052404.

Jiménez, Gabriel, Anuradha Kar, Mehdi Ounissi, Léa Ingrassia, Susana Boluda, Benoît Delatour, Lev Stimmer, and Daniel Racoceanu. 2022. ‘Visual Deep Learning-Based Explanation for Neuritic Plaques Segmentation in Alzheimer’s Disease Using Weakly Annotated Whole Slide Histopathological Images’. Pp. 336–44 in Lecture Notes in Computer Science. Vol. LNCS-13432, Medical Image Computing and Computer Assisted Intervention. doi: 10.1007/978-3-031-16434-7_33.

Jimenez, Gabriel, Pablo Mas, Anuradha Kar, Julien Peyrache, Lea Ingrassia, Susana Boluda, Benoît Delatour, Lev Stimmer, and Daniel Racoceanu. 2023. ‘A Meta-Graph Approach for Analyzing Whole Slide Histopathological Images of Human Brain Tissue with Alzheimer’s Disease Biomarkers’. Pp. 476–82 in Medical Imaging 2023: Digital and Computational Pathology. Vol. 12471. SPIE. doi: 10.1117/12.2657475.

Maňoušková, K., V. Abadie, M. Ounissi, G. Jimenez, L. Stimmer, B. Delatour, S. Durrleman, and D. Racoceanu. 2022. ‘Tau Protein Discrete Aggregates in Alzheimer’s Disease: Neuritic Plaques and Tangles Detection and Segmentation Using Computational Histopathology’. Pp. 33–39 in Medical Imaging 2022: Digital and Computational Pathology. Vol. 12039. SPIE. doi: 10.1117/12.2613154.

Ounissi, Mehdi, Morwena Latouche, and Daniel Racoceanu. 2024. ‘PhagoStat a Scalable and Interpretable End to End Framework for Efficient Quantification of Cell Phagocytosis in Neurodegenerative Disease Studies’. Scientific Reports 14(6482):1–30. doi: 10.1038/s41598-024-56081-7.

Routier, Alexandre, Ninon Burgos, Mauricio Diaz, Michael Bacci, Simona Bottani, Omar El-Rifai, Sabrina Fontanella, Pietro Gori, Jérémy Guillon, Alexis Guyot, Ravi Hassanaly, Thomas Jacquemont, Pascal Lu, Arnaud Marcoux, Tristan Moreau, Jorge Samper-González, Marc Teichmann, Elina Thibeau-Sutre, Ghislain Vaillant, Junhao Wen, Adam Wild, Marie-Odile Habert, Stanley Durrleman, and Olivier Colliot. 2021. ‘Clinica: An Open Source Software Platform for Reproducible Clinical Neuroscience Studies’. Frontiers in Neuroinformatics 15:689675. doi: 10.3389/fninf.2021.689675.

Thibeau-Sutre, Elina, Mauricio Diaz, Ravi Hassanaly, Alexandre M. Routier, Didier Dormont, Olivier Colliot, and Ninon Burgos. 2022. ‘ClinicaDL: An Open-Source Deep Learning Software for Reproducible Neuroimaging Processing’. Computer Methods and Programs in Biomedicine 220:106818. doi: 10.1016/j.cmpb.2022.106818.