• 
  Diane Lastennet, Louise-Laure Mariani, Olivier Rascol, Jean-Denis Turc, Hala Alfaisal, et al.. Evaluation of Prescription Practices of Domperidone in Parkinson's Disease: A Cross Sectional Study Among French Neurologists. CNS Drugs, 2020, 34 (12), pp.1267--1274. ⟨10.1007/s40263-020-00774-w⟩. ⟨hal-03894187⟩
• 
  Gizem Temiz, Marie Des Neiges Santin, Claire Olivier, Antoine Collomb-Clerc, Sara Fernandez-Vidal, et al.. Freezing of gait depends on cortico-subthalamic network recruitment following STN-DBS in PD patients. 2023. ⟨hal-03962414⟩
• 
  Julie Bourilhon, Claire Olivier, Hana You, Antoine Collomb-Clerc, David Grabli, et al.. Pedunculopontine and Cuneiform Nuclei Deep Brain Stimulation for Severe Gait and Balance Disorders in Parkinson’s Disease: Interim Results from a Randomized Double-Blind Clinical Trial. 2023. ⟨hal-03962391⟩
• 
  Quentin Richard. Impact du R-2HG sur l'environement immunitaire des gliomes IDH1 mutés. Biologie cellulaire. Université Paris-Saclay, 2022. Français. ⟨NNT : 2022UPASL074⟩. ⟨tel-03959401⟩
• 
  Olivier Colliot, Elina Thibeau-Sutre, Ninon Burgos. Reproducibility in machine learning for medical imaging. Olivier Colliot. Machine Learning for Brain Disorders, Springer, In press. ⟨hal-03957240⟩
• 
  Maria Vakalopoulou, Stergios Christodoulidis, Ninon Burgos, Olivier Colliot, Vincent Lepetit. Deep learning: basics and convolutional neural networks (CNN). Olivier Colliot. Machine Learning for Brain Disorders, Springer, In press. ⟨hal-03957224⟩
• 
  Olivier Colliot. A non-technical introduction to machine learning. Olivier Colliot. Machine Learning for Brain Disorders, Springer, In press. ⟨hal-03957125⟩
• 
  Coline Montégut, Jean-Sébastien Guillamo, François Ducray, Caroline Dehais, Elisabeth Cohen-Jonathan Moyal, et al.. Characteristics, Patterns of Care and Predictive Geriatric Factors in Elderly Patients Treated for High-Grade IDH-Mutant Gliomas: A French POLA Network Study. Cancers, 2022, 14 (22), pp.5509. ⟨10.3390/cancers14225509⟩. ⟨hal-03881443v2⟩
• 
  Delphine Tanguy, Bénédicte Batrancourt, Alfonso Estudillo-Romero, John S H Baxter, Isabelle Le Ber, et al.. An ecological approach to identify distinct neural correlates of disinhibition in frontotemporal dementia. Neuroimage-Clinical, 2022, 35, pp.103079. ⟨10.1016/j.nicl.2022.103079⟩. ⟨hal-03716298⟩
• 
  Benoît Sauty, Stanley Durrleman. Impact of sex and APOE-ε4 genotype on regional brain metabolism in Alzheimer's Disease. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), Apr 2023, Cartagena (Colombia), Colombia. ⟨hal-03951468⟩
• 
  Gaël Varoquaux, Olivier Colliot. Evaluating machine learning models and their diagnostic value. Olivier Colliot. Machine Learning for Brain Disorders, Springer, In press. ⟨hal-03682454v4⟩
• 
  Charles-Edouard Notredame, Margot Morgiève, Xavier Briffaut, Pierre Grandgenèvre, Nathalie Pauwels, et al.. Prendre soin des jeunes suicidaires jusque sur les réseaux sociaux : le projet Elios. L’Information psychiatrique, 2020, ⟨10.1684/ipe.2020.2112⟩. ⟨hal-03911447⟩
• 
  Nabil Benzina, Margot Morgiève, Marine Euvrard, João Flores Alves dos Santos, Antoine Pelissolo, et al.. Personalised 360o video exposure therapy for the treatment of obsessive-compulsive disorder: A single case study. French Journal of Psychiatry, 2020, 1, pp.31-38. ⟨10.1016/j.fjpsy.2020.02.004⟩. ⟨hal-03911455⟩
• 
  Giorgia Querin, Timothée Timothée Lenglet, Rabab Debs, Tanya Stojkovic, Anthony Behin, et al.. Development of new outcome measures for adult SMA type III and IV: a multimodal longitudinal study. Journal of Neurology, 2021, 268 (5), pp.1792-1802. ⟨10.1007/s00415-020-10332-5⟩. ⟨hal-03230903⟩
• 
  Ninon Burgos. Individualised, interpretable and reproducible computer-aided diagnosis of dementia: towards application in clinical practice. Medical Imaging. Sorbonne Université, 2022. ⟨tel-03941953⟩
• 
  Naiara Martínez-Vélez, Marc Garcia-Moure, Miguel Marigil, Marisol González-Huarriz, Montse Puigdelloses, et al.. The oncolytic virus Delta-24-RGD elicits an antitumor effect in pediatric glioma and DIPG mouse models. Nature Communications, 2019, 10 (1), pp.2235. ⟨10.1038/s41467-019-10043-0⟩. ⟨hal-03941202⟩
• 
  Gabriel Jimenez, Daniel Racoceanu. Computational Pathology for Brain Disorders. O. Colliot (Ed.). Machine Learning for Brain Disorders, Springer, In press. ⟨hal-03936550⟩
• 
  Marc Herbin, Mathieu D. Santin, Roberto Toro, Katja Heuer, Jacques Cuisin, et al.. Do not Dispose of Historic Fluid Collections: Evaluating Research Potential and Range of Use. Collection Forum, 2020, 34 (1), pp.157-169. ⟨10.14351/0831-4985-34.1.157⟩. ⟨hal-03891660⟩
• 
  Gabriel Jiménez, Pablo Mas, Anuradha Kar, Léa Ingrassia, Susana Boluda, et al.. A meta-graph approach for analyzing whole slide histopathological images of human brain tissue with Alzheimer's disease biomarkers. SPIE Medical Imaging 2022, SPIE, Feb 2023, San Diego, United States. ⟨hal-03936684⟩
• 
  Daniel Racoceanu, Mehdi Ounissi, Yannick L. Kergosien. Explicabilité en Intelligence Artificielle ; vers une IA Responsable : Instanciation dans le domaine de la santé. Techniques de l'Ingenieur, 2022, ⟨10.51257/a-v1-h5030⟩. ⟨hal-03936135⟩

2 230

1 306