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Books and Theses
- 2020
[b1]Maxime Peralta:
Data driven methods to support decision making in Deep Brain Stimulation for Parkinson's Disease. (Stimulation Cérébrale Profonde, Maladie de Parkinson, Apprentissage Machine, Système d'Aide à la Décision Clinique). University of Rennes 1, France, 2020
Journal Articles
- 2021
- [j4]Maxime Peralta
, Pierre Jannin, Claire Haegelen, John S. H. Baxter:
Data imputation and compression for Parkinson's disease clinical questionnaires. Artif. Intell. Medicine 114: 102051 (2021) - [j3]Maxime Peralta, Pierre Jannin, John S. H. Baxter:
Machine learning in deep brain stimulation: A systematic review. Artif. Intell. Medicine 122: 102198 (2021) - [j2]Thibault Martin, Maxime Peralta, Greydon Gilmore, Paul Sauleau, Claire Haegelen, Pierre Jannin, John S. H. Baxter:
Extending convolutional neural networks for localizing the subthalamic nucleus from micro-electrode recordings in Parkinson's disease. Biomed. Signal Process. Control. 67: 102529 (2021) - [j1]Maxime Peralta, Claire Haegelen, Pierre Jannin, John S. H. Baxter:
PassFlow: a multimodal workflow for predicting deep brain stimulation outcomes. Int. J. Comput. Assist. Radiol. Surg. 16(8): 1361-1370 (2021)
Conference and Workshop Papers
- 2020
- [c1]Maxime Peralta, Quoc Anh Bui, Antoine Ackaouy, Thibault Martin, Greydon Gilmore, Claire Haegelen, Paul Sauleau, John S. H. Baxter, Pierre Jannin:
SepaConvNet for Localizing the Subthalamic Nucleus Using One Second Micro-electrode Recordings. EMBC 2020: 888-893
Coauthor Index
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