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 (EMBC, 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 (2020)

Machine learning in deep brain stimulation: A systematic review. - Maxime Peralta; Pierre Jannin; John S. H. Baxter (Artif. Intell. Medicine, 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)

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)

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)

Quick and Accurate Methodology of Simplified Life Cycle Assessment for Printed Circuit Boards Ecodesign. - Thibault Makan Halter; Maxime Peralta (CF (Companion), 2025)