John S. H. Baxter

60 papers B 4Journal 30Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Disentangling Prompt Dependence to Evaluate Segmentation Reliability in Gynecological MRI. CoRR Elodie Germani, Krystel Nyangoh Timoh, Pierre Jannin, John S. H. Baxter
2025	—	`ed.`	Ethics and Fairness in Medical Imaging - Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings FAIMI/EPIMI@MICCAI Esther Puyol-Antón, Ghada Zamzmi, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Eike Petersen, John S. H. Baxter, Islem Rekik, Roy Eagleson
2025	J	`jnl`	Exploring the values underlying machine learning research in medical image analysis. Medical Image Anal. John S. H. Baxter, Roy Eagleson
2025	J	`jnl`	MerGen: Micro-electrode recording synthesis using a generative data-driven approach. CoRR Thibault Martin, Paul Sauleau, Claire Haegelen, Pierre Jannin, John S. H. Baxter
2024	J	`jnl`	A preliminary exploration into top-down and bottom-up deep-learning approaches to localising neuro-interventional point targets in volumetric MRI. Int. J. Comput. Assist. Radiol. Surg. Enora Giffard, Pierre Jannin, John S. H. Baxter
2024	J	`jnl`	Analysis of convolutional neural networks for fronto-temporal dementia biomarker discovery. Int. J. Comput. Assist. Radiol. Surg. Alfonso Estudillo Romero, Raffaella Migliaccio, Bénédicte Batrancourt, Pierre Jannin, John S. H. Baxter
2024	J	`jnl`	Generalisation capabilities of machine-learning algorithms for the detection of the subthalamic nucleus in micro-electrode recordings. Int. J. Comput. Assist. Radiol. Surg. Thibault Martin, Pierre Jannin, John S. H. Baxter
2023	—	`ed.`	Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings CLIP/FAIMI/EPIMI@MICCAI Stefan Wesarg, Esther Puyol-Antón, John S. H. Baxter, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Islem Rekik, Roy Eagleson, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Daniel Moyer, Eike Petersen
2023	J	`jnl`	Reference-free Bayesian model for pointing errors of typein neurosurgical planning. Int. J. Comput. Assist. Radiol. Surg. John S. H. Baxter, Stéphane Croci, Antoine Delmas, Luc Bredoux, Jean-Pascal Lefaucheur, Pierre Jannin
2022	—	`conf`	Diffusion Tensor Imaging Biomarkers for Parkinson's Disease Symptomatology. AIIIMA/MIABID@MICCAI Alfonso Estudillo Romero, Claire Haegelen, Pierre Jannin, John S. H. Baxter
2022	—	`conf`	Errors of type or errors of degree? Cortical point targeting in transcranial magnetic stimulation. Image-Guided Procedures John S. H. Baxter, Stéphane Croci, Antoine Delmas, Luc Bredoux, Jean-Pascal Lefaucheur, Pierre Jannin
2022	—	`ed.`	Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging - 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings EPIMI/ML-CDS@MICCAI John S. H. Baxter, Islem Rekik, Roy Eagleson, Luping Zhou, Tanveer F. Syeda-Mahmood, Hongzhi Wang, Mustafa Hajij
2022	—	`conf`	Separable vs. End-to-End Learning: A Critical Examination of Learning Paradigms. EPIMI/ML-CDS@MICCAI John S. H. Baxter
2021	J	`jnl`	Adapting the listening time for micro-electrode recordings in deep brain stimulation interventions. Int. J. Comput. Assist. Radiol. Surg. Thibault Martin, Greydon Gilmore, Claire Haegelen, Pierre Jannin, John S. H. Baxter
2021	J	`jnl`	Automatic cortical target point localisation in MRI for transcranial magnetic stimulation via a multi-resolution convolutional neural network. Int. J. Comput. Assist. Radiol. Surg. John S. H. Baxter, Quoc Anh Bui, Ehouarn Maguet, Stéphane Croci, Antoine Delmas, Jean-Pascal Lefaucheur, Luc Bredoux, Pierre Jannin
2021	J	`jnl`	Data imputation and compression for Parkinson's disease clinical questionnaires. Artif. Intell. Medicine Maxime Peralta, Pierre Jannin, Claire Haegelen, John S. H. Baxter
2021	J	`jnl`	Extending convolutional neural networks for localizing the subthalamic nucleus from micro-electrode recordings in Parkinson's disease. Biomed. Signal Process. Control. Thibault Martin, Maxime Peralta, Greydon Gilmore, Paul Sauleau, Claire Haegelen, Pierre Jannin, John S. H. Baxter
2021	J	`jnl`	Machine learning in deep brain stimulation: A systematic review. Artif. Intell. Medicine Maxime Peralta, Pierre Jannin, John S. H. Baxter
2021	J	`jnl`	PassFlow: a multimodal workflow for predicting deep brain stimulation outcomes. Int. J. Comput. Assist. Radiol. Surg. Maxime Peralta, Claire Haegelen, Pierre Jannin, John S. H. Baxter
2021	—	`conf`	Segmentation of the subthalamic nucleus in MRI via Convolutional Neural Networks for deep brain stimulation planning. Image-Guided Procedures John S. H. Baxter, Ehouarn Maguet, Pierre Jannin
2020	—	`conf`	Localisation of the subthalamic nucleus in MRI via convolutional neural networks for deep brain stimulation planning. Image-Guided Procedures John S. H. Baxter, Ehouarn Maguet, Pierre Jannin
2020	—	`conf`	SepaConvNet for Localizing the Subthalamic Nucleus Using One Second Micro-electrode Recordings. EMBC Maxime Peralta, Quoc Anh Bui, Antoine Ackaouy, Thibault Martin, Greydon Gilmore, Claire Haegelen, Paul Sauleau, John S. H. Baxter, Pierre Jannin
2020	B	`conf`	Topology-aware activation layer for neural network image segmentation. Image Processing John S. H. Baxter, Pierre Jannin
2019	J	`jnl`	Prostate cancer detection using residual networks. Int. J. Comput. Assist. Radiol. Surg. Helen Xu, John S. H. Baxter, Oguz Akin, Diego Cantor-Rivera
2019	—	`conf`	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. ISBI Axel Largent, Jean-Claude Nunes, Hervé Saint-Jalmes, John S. H. Baxter, Peter B. Greer, Jason Dowling, Renaud de Crevoisier, Oscar Acosta
2018	J	`jnl`	Cyclic Continuous Max-Flow: A Third Paradigm in Generating Local Phase Shift Maps in MRI. IEEE Trans. Medical Imaging John S. H. Baxter, Zahra Hosseini, Terry M. Peters, Maria Drangova
2018	J	`jnl`	Mixed reality ultrasound guidance system: a case study in system development and a cautionary tale. Int. J. Comput. Assist. Radiol. Surg. Golafsoun Ameri, John S. H. Baxter, Daniel Bainbridge, Terry M. Peters, Elvis C. S. Chen
2018	J	`jnl`	The semiotics of medical image Segmentation. Medical Image Anal. John S. H. Baxter, Eli Gibson, Roy Eagleson, Terry M. Peters
2017	—	`conf`	Analysis of Periodicity in Video Sequences Through Dynamic Linear Modeling. MICCAI (2) A. Jonathan McLeod, Dante P. I. Capaldi, John S. H. Baxter, Grace Parraga, Xiongbiao Luo, Terry M. Peters
2017	J	`jnl`	Directed Acyclic Graph Continuous Max-Flow Image Segmentation for Unconstrained Label Orderings. Int. J. Comput. Vis. John S. H. Baxter, Martin Rajchl, A. Jonathan McLeod, Jing Yuan, Terry M. Peters
2016	—	`conf`	Fast Deformable Image Registration with Non-smooth Dual Optimization. CVPR Workshops Martin Rajchl, John S. H. Baxter, Wu Qiu, Ali R. Khan, Aaron Fenster, Terry M. Peters, Daniel Rueckert, Jing Yuan
2016	J	`jnl`	Hierarchical max-flow segmentation framework for multi-atlas segmentation with Kohonen self-organizing map based Gaussian mixture modeling. Medical Image Anal. Martin Rajchl, John S. H. Baxter, A. Jonathan McLeod, Jing Yuan, Wu Qiu, Terry M. Peters, Ali R. Khan
2016	J	`jnl`	Individual feature maps: a patient-specific analysis tool with applications in temporal lobe epilepsy. Int. J. Comput. Assist. Radiol. Surg. 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
2016	B	`conf`	Shape complexes in continuous max-flow segmentation. Image Processing John S. H. Baxter, Jing Yuan, Maria Drangova, Terry M. Peters, Jiro Inoue
2016	—	`conf`	Single slice US-MRI registration for neurosurgical MRI-guided US. Image-Guided Procedures Utsav Pardasani, John S. H. Baxter, Terry M. Peters, Ali R. Khan
2015	J	`jnl`	A Continuous Max-Flow Approach to Cyclic Field Reconstruction. CoRR John S. H. Baxter, A. Jonathan McLeod, Terry M. Peters
2015	J	`jnl`	A Proximal Bregman Projection Approach to Continuous Max-Flow Problems Using Entropic Distances. CoRR John S. H. Baxter, Martin Rajchl, Jing Yuan, Terry M. Peters
2015	—	`conf`	An Iterative Closest Point Framework for Ultrasound Calibration. AE-CAI Elvis C. S. Chen, A. Jonathan McLeod, John S. H. Baxter, Terry M. Peters
2015	—	`conf`	Augmented Reality Ultrasound Guidance for Central Line Procedures: Preliminary Results. AE-CAI Golafsoun Ameri, John S. H. Baxter, A. Jonathan McLeod, Terry M. Peters, Elvis C. S. Chen
2015	J	`jnl`	Detection and visualization of dural pulsation for spine needle interventions. Int. J. Comput. Assist. Radiol. Surg. A. Jonathan McLeod, John S. H. Baxter, Golafsoun Ameri, Sugantha Ganapathy, Terry M. Peters, Elvis C. S. Chen
2015	—	`conf`	Left Atrial Wall Segmentation from CT for Radiofrequency Catheter Ablation Planning. CLIP@MICCAI Jiro Inoue, John S. H. Baxter, Maria Drangova
2015	—	`conf`	Line fiducial material and thickness considerations for ultrasound calibration. Image-Guided Procedures Golafsoun Ameri, A. Jonathan McLeod, John S. H. Baxter, Elvis C. S. Chen, Terry M. Peters
2015	B	`conf`	Optimization-based interactive segmentation interface for multi-region problems. Image Processing John S. H. Baxter, Martin Rajchl, Terry M. Peters, Elvis C. S. Chen
2015	J	`jnl`	Registration of 3D shapes under anisotropic scaling. Int. J. Comput. Assist. Radiol. Surg. Elvis C. S. Chen, A. Jonathan McLeod, John S. H. Baxter, Terry M. Peters
2015	J	`jnl`	Shape Complexes in Continuous Max-Flow Hierarchical Multi-Labeling Problems. CoRR John S. H. Baxter, Jing Yuan, Terry M. Peters
2015	—	`conf`	Stereoscopic Motion Magnification in Minimally-Invasive Robotic Prostatectomy. CARE@MICCAI A. Jonathan McLeod, John S. H. Baxter, Uditha L. Jayarathne, Stephen E. Pautler, Terry M. Peters, Xiongbiao Luo
2015	J	`jnl`	Training for Planning Tumour Resection: Augmented Reality and Human Factors. IEEE Trans. Biomed. Eng. Kamyar Abhari, John S. H. Baxter, Elvis C. S. Chen, Ali R. Khan, Terry M. Peters, Sandrine de Ribaupierre, Roy Eagleson
2015	J	`jnl`	Visual Enhancement of MR Angiography Images to Facilitate Planning of Arteriovenous Malformation Interventions. ACM Trans. Appl. Percept. Kamyar Abhari, John S. H. Baxter, Ali R. Khan, Terry M. Peters, Sandrine de Ribaupierre, Roy Eagleson
2014	J	`jnl`	A Continuous Max-Flow Approach to General Hierarchical Multi-Labelling Problems. CoRR John S. H. Baxter, Martin Rajchl, Jing Yuan, Terry M. Peters
2014	J	`jnl`	A Continuous Max-Flow Approach to Multi-Labeling Problems under Arbitrary Region Regularization. CoRR John S. H. Baxter, Martin Rajchl, Jing Yuan, Terry M. Peters
2014	—	`conf`	Motion magnification for endoscopic surgery. Image-Guided Procedures A. Jonathan McLeod, John S. H. Baxter, Sandrine de Ribaupierre, Terry M. Peters
2014	J	`jnl`	RANCOR: Non-Linear Image Registration with Total Variation Regularization. CoRR Martin Rajchl, John S. H. Baxter, Wu Qiu, Ali R. Khan, Aaron Fenster, Terry M. Peters, Jing Yuan
2014	B	`conf`	Smoothness parameter tuning for generalized hierarchical continuous max-flow segmentation. Image Processing John S. H. Baxter, Martin Rajchl, A. Jonathan McLeod, Ali R. Khan, Jing Yuan, Terry M. Peters
2014	—	`conf`	Synthetic aperture imaging in ultrasound calibration. Image-Guided Procedures Golafsoun Ameri, John S. H. Baxter, A. Jonathan McLeod, Uditha L. Jayaranthe, Elvis C. S. Chen, Terry M. Peters
2014	—	`conf`	Variational Time-Implicit Multiphase Level-Sets - A Fast Convex Optimization-Based Solution. EMMCVPR Martin Rajchl, John S. H. Baxter, Egil Bae, Xue-Cheng Tai, Aaron Fenster, Terry M. Peters, Jing Yuan
2013	—	`conf`	The Role of Augmented Reality in Training the Planning of Brain Tumor Resection. AE-CAI Kamyar Abhari, John S. H. Baxter, Elvis C. S. Chen, Ali R. Khan, Chris Wedlake, Terry M. Peters, Roy Eagleson, Sandrine de Ribaupierre
2012	—	`conf`	An augmented reality platform for planning of minimally invasive cardiac surgeries. Image-Guided Procedures Elvis C. S. Chen, Kripasindhu Sarkar, John S. H. Baxter, John Moore, Chris Wedlake, Terry M. Peters
2012	—	`conf`	Characterization of tissue-simulating phantom materials for ultrasound-guided needle procedures. Image-Guided Procedures Susan Buchanan, John Moore, Deanna Lammers, John S. H. Baxter, Terry M. Peters
2012	—	`conf`	Use of a Mixed-Reality System to Improve the Planning of Brain Tumour Resections: Preliminary Results. AE-CAI Kamyar Abhari, John S. H. Baxter, Elvis C. S. Chen, Ali R. Khan, Chris Wedlake, Terry M. Peters, Sandrine de Ribaupierre, Roy Eagleson
2011	—	`conf`	A unified framework for voxel classification and triangulation. Image-Guided Procedures John S. H. Baxter, Terry M. Peters, Elvis C. S. Chen