A unified framework for voxel classification and triangulation. - John S. H. Baxter; Terry M. Peters; Elvis C. S. Chen (Image-Guided Procedures, 2011)

Use of a Mixed-Reality System to Improve the Planning of Brain Tumour Resections: Preliminary Results. - Kamyar Abhari; John S. H. Baxter; Elvis C. S. Chen; Ali R. Khan; Chris Wedlake; Terry M. Peters; Sandrine de Ribaupierre; Roy Eagleson (AE-CAI, 2012)

Characterization of tissue-simulating phantom materials for ultrasound-guided needle procedures. - Susan Buchanan; John Moore 001; Deanna Lammers; John S. H. Baxter; Terry M. Peters (Image-Guided Procedures, 2012)

An augmented reality platform for planning of minimally invasive cardiac surgeries. - Elvis C. S. Chen; Kripasindhu Sarkar; John S. H. Baxter; John Moore 001; Chris Wedlake; Terry M. Peters (Image-Guided Procedures, 2012)

The Role of Augmented Reality in Training the Planning of Brain Tumor Resection. - Kamyar Abhari; John S. H. Baxter; Elvis C. S. Chen; Ali R. Khan; Chris Wedlake; Terry M. Peters; Roy Eagleson; Sandrine de Ribaupierre (AE-CAI, 2013)

Variational Time-Implicit Multiphase Level-Sets - A Fast Convex Optimization-Based Solution. - Martin Rajchl; John S. H. Baxter; Egil Bae; Xue-Cheng Tai; Aaron Fenster; Terry M. Peters; Jing Yuan 001 (EMMCVPR, 2014)

Synthetic aperture imaging in ultrasound calibration. - Golafsoun Ameri; John S. H. Baxter; A. Jonathan McLeod; Uditha L. Jayaranthe; Elvis C. S. Chen; Terry M. Peters (Image-Guided Procedures, 2014)

Motion magnification for endoscopic surgery. - A. Jonathan McLeod; John S. H. Baxter; Sandrine de Ribaupierre; Terry M. Peters (Image-Guided Procedures, 2014)

Smoothness parameter tuning for generalized hierarchical continuous max-flow segmentation. - John S. H. Baxter; Martin Rajchl; A. Jonathan McLeod; Ali R. Khan; Jing Yuan 001; Terry M. Peters (Image Processing, 2014)

A Continuous Max-Flow Approach to General Hierarchical Multi-Labelling Problems. - John S. H. Baxter; Martin Rajchl; Jing Yuan 001; Terry M. Peters (CoRR, 2014)

A Continuous Max-Flow Approach to Multi-Labeling Problems under Arbitrary Region Regularization. - John S. H. Baxter; Martin Rajchl; Jing Yuan 001; Terry M. Peters (CoRR, 2014)

RANCOR: Non-Linear Image Registration with Total Variation Regularization. - Martin Rajchl; John S. H. Baxter; Wu Qiu; Ali R. Khan; Aaron Fenster; Terry M. Peters; Jing Yuan 001 (CoRR, 2014)

Augmented Reality Ultrasound Guidance for Central Line Procedures: Preliminary Results. - Golafsoun Ameri; John S. H. Baxter; A. Jonathan McLeod; Terry M. Peters; Elvis C. S. Chen (AE-CAI, 2015)

An Iterative Closest Point Framework for Ultrasound Calibration. - Elvis C. S. Chen; A. Jonathan McLeod; John S. H. Baxter; Terry M. Peters (AE-CAI, 2015)

Left Atrial Wall Segmentation from CT for Radiofrequency Catheter Ablation Planning. - Jiro Inoue; John S. H. Baxter; Maria Drangova (CLIP@MICCAI, 2015)

Stereoscopic Motion Magnification in Minimally-Invasive Robotic Prostatectomy. - A. Jonathan McLeod; John S. H. Baxter; Uditha L. Jayarathne; Stephen E. Pautler; Terry M. Peters; Xiongbiao Luo (CARE@MICCAI, 2015)

Line fiducial material and thickness considerations for ultrasound calibration. - Golafsoun Ameri; A. Jonathan McLeod; John S. H. Baxter; Elvis C. S. Chen; Terry M. Peters (Image-Guided Procedures, 2015)

Optimization-based interactive segmentation interface for multi-region problems. - John S. H. Baxter; Martin Rajchl; Terry M. Peters; Elvis C. S. Chen (Image Processing, 2015)

Registration of 3D shapes under anisotropic scaling. - Elvis C. S. Chen; A. Jonathan McLeod; John S. H. Baxter; Terry M. Peters (Int. J. Comput. Assist. Radiol. Surg., 2015)

Detection and visualization of dural pulsation for spine needle interventions. - A. Jonathan McLeod; John S. H. Baxter; Golafsoun Ameri; Sugantha Ganapathy; Terry M. Peters; Elvis C. S. Chen (Int. J. Comput. Assist. Radiol. Surg., 2015)

A Continuous Max-Flow Approach to Cyclic Field Reconstruction. - John S. H. Baxter; A. Jonathan McLeod; Terry M. Peters (CoRR, 2015)

A Proximal Bregman Projection Approach to Continuous Max-Flow Problems Using Entropic Distances. - John S. H. Baxter; Martin Rajchl; Jing Yuan 001; Terry M. Peters (CoRR, 2015)

Shape Complexes in Continuous Max-Flow Hierarchical Multi-Labeling Problems. - John S. H. Baxter; Jing Yuan 001; Terry M. Peters (CoRR, 2015)

Visual Enhancement of MR Angiography Images to Facilitate Planning of Arteriovenous Malformation Interventions. - Kamyar Abhari; John S. H. Baxter; Ali R. Khan; Terry M. Peters; Sandrine de Ribaupierre; Roy Eagleson (ACM Trans. Appl. Percept., 2015)

Training for Planning Tumour Resection: Augmented Reality and Human Factors. - Kamyar Abhari; John S. H. Baxter; Elvis C. S. Chen; Ali R. Khan; Terry M. Peters; Sandrine de Ribaupierre; Roy Eagleson (IEEE Trans. Biomed. Eng., 2015)

Fast Deformable Image Registration with Non-smooth Dual Optimization. - Martin Rajchl; John S. H. Baxter; Wu Qiu; Ali R. Khan; Aaron Fenster; Terry M. Peters; Daniel Rueckert; Jing Yuan 001 (CVPR Workshops, 2016)

Single slice US-MRI registration for neurosurgical MRI-guided US. - Utsav Pardasani; John S. H. Baxter; Terry M. Peters; Ali R. Khan (Image-Guided Procedures, 2016)

Shape complexes in continuous max-flow segmentation. - John S. H. Baxter; Jing Yuan 001; Maria Drangova; Terry M. Peters; Jiro Inoue (Image Processing, 2016)

Individual feature maps: a patient-specific analysis tool with applications in temporal lobe epilepsy. - Diego Cantor-Rivera; John S. H. Baxter; Sandrine de Ribaupierre; Jonathan C. Lau; Seyed M. Mirsattari; Maged Goubran; Jorge G. Burneo; David A. Steven; Terry M. Peters; Ali R. Khan (Int. J. Comput. Assist. Radiol. Surg., 2016)

Hierarchical max-flow segmentation framework for multi-atlas segmentation with Kohonen self-organizing map based Gaussian mixture modeling. - Martin Rajchl; John S. H. Baxter; A. Jonathan McLeod; Jing Yuan 001; Wu Qiu; Terry M. Peters; Ali R. Khan (Medical Image Anal., 2016)

Analysis of Periodicity in Video Sequences Through Dynamic Linear Modeling. - A. Jonathan McLeod; Dante P. I. Capaldi; John S. H. Baxter; Grace Parraga; Xiongbiao Luo; Terry M. Peters (MICCAI (2), 2017)

Directed Acyclic Graph Continuous Max-Flow Image Segmentation for Unconstrained Label Orderings. - John S. H. Baxter; Martin Rajchl; A. Jonathan McLeod; Jing Yuan 001; Terry M. Peters (Int. J. Comput. Vis., 2017)

Mixed reality ultrasound guidance system: a case study in system development and a cautionary tale. - Golafsoun Ameri; John S. H. Baxter; Daniel Bainbridge; Terry M. Peters; Elvis C. S. Chen (Int. J. Comput. Assist. Radiol. Surg., 2018)

The semiotics of medical image Segmentation. - John S. H. Baxter; Eli Gibson; Roy Eagleson; Terry M. Peters (Medical Image Anal., 2018)

Cyclic Continuous Max-Flow: A Third Paradigm in Generating Local Phase Shift Maps in MRI. - John S. H. Baxter; Zahra Hosseini; Terry M. Peters; Maria Drangova (IEEE Trans. Medical Imaging, 2018)

Pseudo-CT Generation for Mri-only Radiotherapy: Comparative Study Between A Generative Adversarial Network, A U-Net Network, A Patch-Based, and an Atlas Based Methods. - Axel Largent; Jean-Claude Nunes; Hervé Saint-Jalmes; John S. H. Baxter; Peter B. Greer; Jason Dowling; Renaud de Crevoisier; Oscar Acosta (ISBI, 2019)

Prostate cancer detection using residual networks. - Helen Xu; John S. H. Baxter; Oguz Akin; Diego Cantor-Rivera (Int. J. Comput. Assist. Radiol. Surg., 2019)

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)

Localisation of the subthalamic nucleus in MRI via convolutional neural networks for deep brain stimulation planning. - John S. H. Baxter; Ehouarn Maguet; Pierre Jannin (Image-Guided Procedures, 2020)

Topology-aware activation layer for neural network image segmentation. - John S. H. Baxter; Pierre Jannin (Image Processing, 2020)

Segmentation of the subthalamic nucleus in MRI via Convolutional Neural Networks for deep brain stimulation planning. - John S. H. Baxter; Ehouarn Maguet; Pierre Jannin (Image-Guided Procedures, 2021)

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)

Automatic cortical target point localisation in MRI for transcranial magnetic stimulation via a multi-resolution convolutional neural network. - John S. H. Baxter; Quoc Anh Bui; Ehouarn Maguet; Stéphane Croci; Antoine Delmas; Jean-Pascal Lefaucheur; Luc Bredoux; Pierre Jannin (Int. J. Comput. Assist. Radiol. Surg., 2021)

Adapting the listening time for micro-electrode recordings in deep brain stimulation interventions. - Thibault Martin; Greydon Gilmore; Claire Haegelen; Pierre Jannin; John S. H. Baxter (Int. J. Comput. Assist. Radiol. Surg., 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)

Separable vs. End-to-End Learning: A Critical Examination of Learning Paradigms. - John S. H. Baxter (EPIMI/ML-CDS@MICCAI, 2022)

Diffusion Tensor Imaging Biomarkers for Parkinson's Disease Symptomatology. - Alfonso Estudillo Romero; Claire Haegelen; Pierre Jannin; John S. H. Baxter (AIIIMA/MIABID@MICCAI, 2022)

Errors of type or errors of degree? Cortical point targeting in transcranial magnetic stimulation. - John S. H. Baxter; Stéphane Croci; Antoine Delmas; Luc Bredoux; Jean-Pascal Lefaucheur; Pierre Jannin (Image-Guided Procedures, 2022)

Reference-free Bayesian model for pointing errors of typein neurosurgical planning. - John S. H. Baxter; Stéphane Croci; Antoine Delmas; Luc Bredoux; Jean-Pascal Lefaucheur; Pierre Jannin (Int. J. Comput. Assist. Radiol. Surg., 2023)

A preliminary exploration into top-down and bottom-up deep-learning approaches to localising neuro-interventional point targets in volumetric MRI. - Enora Giffard; Pierre Jannin; John S. H. Baxter (Int. J. Comput. Assist. Radiol. Surg., 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 (Int. J. Comput. Assist. Radiol. Surg., 2024)

Analysis of convolutional neural networks for fronto-temporal dementia biomarker discovery. - Alfonso Estudillo Romero; Raffaella Migliaccio; Bénédicte Batrancourt; Pierre Jannin; John S. H. Baxter (Int. J. Comput. Assist. Radiol. Surg., 2024)

Exploring the values underlying machine learning research in medical image analysis. - John S. H. Baxter; Roy Eagleson (Medical Image Anal., 2025)

MerGen: Micro-electrode recording synthesis using a generative data-driven approach. - Thibault Martin; Paul Sauleau; Claire Haegelen; Pierre Jannin; John S. H. Baxter (CoRR, 2025)