John S H Baxter

9PUBLICATIONS
8CO-AUTHORS
Semi- and unsupervised learningDeep learningSensory processes, perception and performanceRadiation therapyNeurology and neuromuscular diseases
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Publications (9)

|May 28, 2026
Please follow the rules: surgical workflow recognition constrained by linear temporal logic.

|Jul 01, 2024
Generalisation capabilities of machine-learning algorithms for the detection of the subthalamic nucleus in micro-electrode recordings.

Thibault Martin, Pierre Jannin, John S H Baxter

|Jun 14, 2024
Analysis of convolutional neural networks for fronto-temporal dementia biomarker discovery.

Alfonso Estudillo Romero, Raffaella Migliaccio, Bénédicte Batrancourt

|May 30, 2023
Reference-free Bayesian model for pointing errors of typein neurosurgical planning.

John S H Baxter, Stéphane Croci, Antoine Delmas

|Jul 16, 2022
Voxel-based diktiometry: Combining convolutional neural networks with voxel-based analysis and its application in diffusion tensor imaging for Parkinson's disease.

Alfonso Estudillo-Romero, Claire Haegelen, Pierre Jannin

|Jul 15, 2022
Combining simple interactivity and machine learning: a separable deep learning approach to subthalamic nucleus localization and segmentation in MRI for deep brain stimulation surgical planning.

John S H Baxter, Pierre Jannin

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Frequent Collaborators

8 joint publications

Pierre Jannin

2 joint publications

Jean-Pascal Lefaucheur

1 joint publications

Thibault Martin

1 joint publications

Alfonso Estudillo-Romero