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Maxime Peralta
Maxime Peralta
PhD, University of Rennes 1
Verified email at peralta.pm - Homepage
Title
Cited by
Cited by
Year
Extending convolutional neural networks for localizing the subthalamic nucleus from micro-electrode recordings in Parkinson’s disease
T Martin, M Peralta, G Gilmore, P Sauleau, C Haegelen, P Jannin, ...
Biomedical Signal Processing and Control 67, 102529, 2021
82021
Data imputation and compression for Parkinson's disease clinical questionnaires
M Peralta, P Jannin, C Haegelen, JSH Baxter
Artificial Intelligence in Medicine 114, 102051, 2021
82021
PassFlow: a multimodal workflow for predicting deep brain stimulation outcomes
M Peralta, C Haegelen, P Jannin, JSH Baxter
International Journal of Computer Assisted Radiology and Surgery 16 (8 …, 2021
42021
SepaConvNet for localizing the subthalamic nucleus using one second micro-electrode recordings
M Peralta, QA Bui, A Ackaouy, T Martin, G Gilmore, C Haegelen, ...
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
42020
Striatal shape alteration as a staging biomarker for Parkinson’s Disease
M Peralta, JSH Baxter, AR Khan, C Haegelen, P Jannin
NeuroImage: Clinical 27, 102272, 2020
32020
Machine learning in deep brain stimulation: A systematic review
M Peralta, P Jannin, JSH Baxter
Artificial Intelligence in Medicine 122, 102198, 2021
2021
Data driven methods to support decision making in Deep Brain Stimulation for Parkinson’s disease
M Péralta
Université Rennes 1, 2020
2020
Does introduction of priors improve reliability to segment hyperdirect connections using tractography for Deep Brain Stimulation?
T MOREAU, M PERALTA, J BAXTER, P JANNIN
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Articles 1–8