Maxime Peralta

According to our database, Maxime Peralta authored at least 6 papers between 2020 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

PassFlow: a multimodal workflow for predicting deep brain stimulation outcomes.

Maxime Peralta, Claire Haegelen, Pierre Jannin, John S. H. Baxter

Int. J. Comput. Assist. Radiol. Surg., 2021

Extending convolutional neural networks for localizing the subthalamic nucleus from micro-electrode recordings in Parkinson's disease.

Thibault Martin, Maxime Peralta, Greydon Gilmore, Paul Sauleau, Claire Haegelen, Pierre Jannin, John S. H. Baxter

Biomed. Signal Process. Control., 2021

Data imputation and compression for Parkinson's disease clinical questionnaires.

Maxime Peralta, Pierre Jannin, Claire Haegelen, John S. H. Baxter

Artif. Intell. Medicine, 2021

Machine learning in deep brain stimulation: A systematic review.

Maxime Peralta, Pierre Jannin, John S. H. Baxter

Artif. Intell. Medicine, 2021

2020

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).

Maxime Peralta

PhD thesis, 2020

SepaConvNet for Localizing the Subthalamic Nucleus Using One Second Micro-electrode Recordings.

Maxime Peralta, Quoc Anh Bui, Antoine Ackaouy, Thibault Martin, Greydon Gilmore, Claire Haegelen, Paul Sauleau, John S. H. Baxter, Pierre Jannin

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020