An Efficient 3D Deformable Model with a Self-Optimising Topology. - Andrew J. Bulpitt; Nicholas D. Efford (BMVC, 1995)

Global Alignment of MR Images Using a Scale Based Hierarchical Model. - S. Fletcher; Andrew J. Bulpitt; David C. Hogg (ECCV (2), 1996)

An efficient 3D deformable model with a self-optimising mesh. - Andrew J. Bulpitt; Nick Efford (Image Vis. Comput., 1996)

Spiral CT of abdominal aortic aneurysms: comparison of segmentation with an automatic 3D deformable model and interactive segmentation. - Andrew J. Bulpitt; Elizabeth Berry (Image Processing, 1998)

Learning Models of Animal Behaviour for a Robotic Sheepdog. - Neil Sumpter; Andrew J. Bulpitt; Richard T. Vaughan; Robin D. Tillett; Roger D. Boyle (MVA, 1998)

Learning spatio-temporal patterns for predicting object behaviour. - Neil Sumpter; Andrew J. Bulpitt (Image Vis. Comput., 2000)

Combining 3D Deformable Models and Level Set Methods for the Segmentation of Abdominal Aortic Aneurysms. - Derek R. Magee; Andrew J. Bulpitt; Elizabeth Berry (BMVC, 2001)

AI-based Algorithms for Protein Surface Comparisons. - Steven J. Pickering; Andrew J. Bulpitt; Nick Efford; Nicola D. Gold; David R. Westhead (Comput. Chem., 2002)

Automatic Identification of Key Sub-Structures for Protein Annotation. - Craig Lucas; Andrew J. Bulpitt (METMBS, 2004)

A Model for Virtual Suturing in Vascular Surgery. - Richard Holbrey; Andrew J. Bulpitt; Ken Brodlie; Mark Walkley; Julian Scott (TPCG, 2004)

Predicting the effect of missense mutations on protein function: analysis with Bayesian networks. - Chris J. Needham; James R. Bradford; Andrew J. Bulpitt; Matthew A. Care; David R. Westhead (BMC Bioinform., 2006)

A 6DOF Gravity Compensation Scheme for a Phantom Premium Using a Neural Network. - Matthew Birtwisle; Andy Bulpitt (MMVR, 2007)

Deleterious SNP prediction: be mindful of your training data! - Matthew A. Care; Chris J. Needham; Andrew J. Bulpitt; David R. Westhead (Bioinform., 2007)

A Primer on Learning in Bayesian Networks for Computational Biology. - Chris J. Needham; James R. Bradford; Andrew J. Bulpitt; David R. Westhead (PLoS Comput. Biol., 2007)

Bayesian Data Integration and Enrichment Analysis for Predicting Gene Function in Malaria. - Philip M. R. Tedder; James R. Bradford; Chris J. Needham; Glenn A. McConkey; Andrew J. Bulpitt; David R. Westhead (CiE, 2009)

ImaGINe-S: Imaging Guided Interventional Needle Simulation. - Fernando Bello; Andrew J. Bulpitt; Derek A. Gould; Richard Holbrey; Carrie Hunt; Thien How; Nigel W. John; Sheena Johnson; Roger Phillips; Amrita Sinha; Franck Patrick Vidal; Pierre-Frédéric Villard; et al. (Eurographics (Medical Prize), 2009)

Liver Segmentation Using Automatically Defined Patient Specific B-Spline Surface Models. - Yi Song 010; Andrew J. Bulpitt; Ken W. Brodlie (MICCAI (1), 2009)

Developing An Immersive Ultrasound Guided Needle Puncture Simulator. - Franck Patrick Vidal; Pierre-Frédéric Villard; Richard Holbrey; Nigel W. John; Fernando Bello; Andrew J. Bulpitt; Derek A. Gould (MMVR, 2009)

From gene expression to gene regulatory networks in Arabidopsis thaliana. - Chris J. Needham; Iain W. Manfield; Andrew J. Bulpitt; Philip M. Gilmartin; David R. Westhead (BMC Syst. Biol., 2009)

Gene function prediction using semantic similarity clustering and enrichment analysis in the malaria parasite Plasmodium falciparum. - Philip M. R. Tedder; James R. Bradford; Chris J. Needham; Glenn A. McConkey; Andrew J. Bulpitt; David R. Westhead (Bioinform., 2010)

Texture Analysis of Virtual Slides for Grading Dysplasia in Barretts Oesophagus. - Afzan Adam; Andrew J. Bulpitt; Darren Treanor (MIUA, 2011)

Flythrough data exploration using multi-level classification driven focus and context. - Asif Jamil; Andrew J. Bulpitt (MIUA, 2011)

Segmentation of 3D Vasculatures for Interventional Radiology Simulation. - Yi Song 010; Vincent Luboz; Nizar Din; Daniel King; Derek Gould; Fernando Bello; Andrew J. Bulpitt (MMVR, 2011)

ImaGiNe Seldinger: First simulator for Seldinger technique and angiography training. - Vincent Luboz; Yan Zhang; Sheena Johnson; Yi Song 010; Caroline Kilkenny; Carrie Hunt; Helen Woolnough; Sara M. Guediri; Jianhua Zhai; Tolu Odetoyinbo; Peter Littler; A. Fisher; et al. (Comput. Methods Programs Biomed., 2013)

Automated Segmentation of Cell Structure in Microscopy Images. - Nicole Kerrison; Andy Bulpitt (VISAPP (3), 2014)

Interventional radiology virtual simulator for liver biopsy. - Pierre-Frédéric Villard; Franck Patrick Vidal; Llyr ap Cenydd; Richard Holbrey; S. Pisharody; Sheena Johnson; Andrew J. Bulpitt; Nigel W. John; Fernando Bello; Derek A. Gould (Int. J. Comput. Assist. Radiol. Surg., 2014)

Unsupervised Content Classification Based Nonrigid Registration of Differently Stained Histology Images. - Yi Song 010; Darren Treanor; Andrew J. Bulpitt; Nagitha Wijayathunga; Nick Roberts; Ruth Wilcox; Derek R. Magee (IEEE Trans. Biomed. Eng., 2014)

A Novel Approach for the Colour Deconvolution of Multiple Histological Stains. - Duane Carey; Nagitha Wijayathunga; Andrew J. Bulpitt; Darren Treanor (MIUA, 2015)

Improving Pattern Detection in Healthcare Process Mining Using an Interval-Based Event Selection Method. - Amirah Alharbi; Andy Bulpitt; Owen A. Johnson (BPM (Forum), 2017)

Towards Unsupervised Detection of Process Models in Healthcare. - Amirah Alharbi; Andy Bulpitt; Owen A. Johnson (MIE, 2018)

Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. - Rebecca S. Stone; Nishant Ravikumar; Andrew J. Bulpitt; David C. Hogg (CVPR Workshops, 2022)

Fine-grained Differentiable Physics: A Yarn-level Model for Fabrics. - Deshan Gong; Zhanxing Zhu; Andrew J. Bulpitt; He Wang 002 (ICLR, 2022)

Talking Head from Speech Audio using a Pre-trained Image Generator. - Mohammed M. Alghamdi; He Wang 002; Andrew J. Bulpitt; David C. Hogg (ACM Multimedia, 2022)

Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation Task. - Rebecca S. Stone; Pedro Esteban Chavarrias-Solano; Andrew J. Bulpitt; David C. Hogg; Sharib Ali (CLIP/FAIMI/EPIMI@MICCAI, 2023)

A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs. - Soodeh Kalaie; Andrew J. Bulpitt; Alejandro F. Frangi; Ali Gooya (MIDL, 2023)

Ultrasound Image Segmentation and its Evaluation using Various Encoder Architectures. - Edward Ellis; Andrew J. Bulpitt; Sharib Ali (CBMS, 2024)

Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy. - Pedro Esteban Chavarrias-Solano; Andrew J. Bulpitt; Venkataraman Subramanian; Sharib Ali (Medical Image Anal., 2025)

A Self-Supervised Framework for Improved Generalisability in Ultrasound B-mode Image Segmentation. - Edward Ellis; Andrew J. Bulpitt; Nasim Parsa; Michael F. Byrne; Sharib Ali (CoRR, 2025)

Self-Supervised Ultrasound-Video Segmentation with Feature Prediction and 3D Localised Loss. - Edward Ellis; Robert Mendel; Andrew J. Bulpitt; Nasim Parsa; Michael F. Byrne; Sharib Ali (CoRR, 2025)

An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation. - Soodeh Kalaie; Andy Bulpitt; Alejandro F. Frangi; Ali Gooya (IEEE Trans. Medical Imaging, 2025)