| 2022 | MICCAI | Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-Based Processing. | Abbas Khan, Omnia Alwazzan, Martin Benning, Greg Slabaugh |
| 2020 | ICPR | PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks. | Muhammad Asad, Rilwan Remilekun Basaru, S. M. Masudur Rahman Al-Arif, Greg Slabaugh |
| 2018 | MICCAI | SPNet: Shape Prediction Using a Fully Convolutional Neural Network. | S. M. Masudur Rahman Al-Arif, Karen Knapp, Greg Slabaugh |
| 2017 | BMVC | Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network. | S. M. Masudur Rahman Al-Arif, Karen Knapp, Greg Slabaugh |
| 2017 | MICCAI | Region-Aware Deep Localization Framework for Cervical Vertebrae in X-Ray Images. | S. M. Masudur Rahman Al-Arif, Karen Knapp, Greg Slabaugh |
| 2017 | MICCAI | Shape-Aware Deep Convolutional Neural Network for Vertebrae Segmentation. | S. M. Masudur Rahman Al-Arif, Karen Knapp, Greg Slabaugh |
| 2017 | MICCAI | FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI. | Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg Slabaugh |
| 2016 | CVPR | Learning Marginalization through Regression for Hand Orientation Inference. | Muhammad Asad, Greg Slabaugh |
| 2016 | ECAI | The Need for Knowledge Extraction: Understanding Harmful Gambling Behavior with Neural Networks. | Chris Percy, Artur S. d'Avila Garcez, Simo Dragicevic, Manoel V. M. Frana, Greg Slabaugh, Tillman Weyde |
| 2016 | ICISP | Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI. | Guang Yang, Xujiong Ye, Greg Slabaugh, Jennifer Keegan, Raad Mohiaddin, David N. Firmin |
| 2012 | MICCAI | Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method. | Thomas Hampshire, Holger Roth, Darren Boone, Greg Slabaugh, Steve Halligan, David J. Hawkes |
| 2011 | MICCAI | Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model. | Thomas Hampshire, Holger Roth, Mingxing Hu, Darren Boone, Greg Slabaugh, Shonit Punwani, Steve Halligan, David J. Hawkes |
| 2011 | MICCAI | Inverse Consistency Error in the Registration of Prone and Supine Images in CT Colonography. | Holger Roth, Thomas Hampshire, Jamie McClelland, Mingxing Hu, Darren Boone, Greg Slabaugh, Steve Halligan, David J. Hawkes |
| 2010 | MICCAI | Automatic Detection of Anatomical Features on 3D Ear Impressions for Canonical Representation. | Sajjad Baloch, Rupen Melkisetoglu, Simon Flry, Sergei Azernikov, Greg Slabaugh, Alexander Zouhar, Tong Fang |
| 2010 | MICCAI | Establishing Spatial Correspondence between the Inner Colon Surfaces from Prone and Supine CT Colonography. | Holger Roth, Jamie McClelland, Marc Modat, Darren Boone, Mingxing Hu, Sbastien Ourselin, Greg Slabaugh, Steve Halligan, David J. Hawkes |
| 2010 | MICCAI | Learning to Detect 3D Rectal Tubes in CT Colonography Using a Global Shape Model. | Xiaoyun Yang, Gareth Beddoe, Greg Slabaugh |
| 2010 | MICCAI | A Bayesian Approach for False Positive Reduction in CTC CAD. | Xujiong Ye, Gareth Beddoe, Greg Slabaugh |
| 2007 | CVPR | A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation. | Greg Slabaugh, Huong Quynh Dinh, Gozde B. Unal |