Andrew J. Bulpitt

42 papers A* 2A 3B 2C 1Misc 1Journal 20Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A self-supervised framework for improved generalisability in ultrasound B-mode image segmentation. Biomed. Signal Process. Control. Edward Ellis, Andrew J. Bulpitt, Nasim Parsa, Michael F. Byrne, Sharib Ali
2025	J	`jnl`	A Self-Supervised Framework for Improved Generalisability in Ultrasound B-mode Image Segmentation. CoRR Edward Ellis, Andrew J. Bulpitt, Nasim Parsa, Michael F. Byrne, Sharib Ali
2025	J	`jnl`	Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy. Medical Image Anal. Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, Venkataraman Subramanian, Sharib Ali
2025	J	`jnl`	Self-Supervised Ultrasound-Video Segmentation with Feature Prediction and 3D Localised Loss. CoRR Edward Ellis, Robert Mendel, Andrew J. Bulpitt, Nasim Parsa, Michael F. Byrne, Sharib Ali
2024	B	`conf`	Ultrasound Image Segmentation and its Evaluation using Various Encoder Architectures. CBMS Edward Ellis, Andrew J. Bulpitt, Sharib Ali
2023	—	`conf`	A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs. MIDL Soodeh Kalaie, Andrew J. Bulpitt, Alejandro F. Frangi, Ali Gooya
2023	—	`conf`	Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation Task. CLIP/FAIMI/EPIMI@MICCAI Rebecca S. Stone, Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali
2023	J	`jnl`	Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task. CoRR Rebecca S. Stone, Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali
2023	J	`jnl`	Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy. CoRR Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, Venkataraman Subramanian, Sharib Ali
2022	—	`conf`	Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CVPR Workshops Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
2022	J	`jnl`	Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CoRR Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
2022	A*	`conf`	Fine-grained Differentiable Physics: A Yarn-level Model for Fabrics. ICLR Deshan Gong, Zhanxing Zhu, Andrew J. Bulpitt, He Wang
2022	J	`jnl`	Fine-grained differentiable physics: a yarn-level model for fabrics. CoRR Deshan Gong, Zhanxing Zhu, Andrew J. Bulpitt, He Wang
2022	A*	`conf`	Talking Head from Speech Audio using a Pre-trained Image Generator. ACM Multimedia Mohammed M. Alghamdi, He Wang, Andrew J. Bulpitt, David C. Hogg
2022	J	`jnl`	Talking Head from Speech Audio using a Pre-trained Image Generator. CoRR Mohammed M. Alghamdi, He Wang, Andrew J. Bulpitt, David C. Hogg
2015	—	`conf`	A Novel Approach for the Colour Deconvolution of Multiple Histological Stains. MIUA Duane Carey, Nagitha Wijayathunga, Andrew J. Bulpitt, Darren Treanor
2014	J	`jnl`	Interventional radiology virtual simulator for liver biopsy. Int. J. Comput. Assist. Radiol. Surg. 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
2014	J	`jnl`	Unsupervised Content Classification Based Nonrigid Registration of Differently Stained Histology Images. IEEE Trans. Biomed. Eng. Yi Song, Darren Treanor, Andrew J. Bulpitt, Nagitha Wijayathunga, Nick Roberts, Ruth Wilcox, Derek R. Magee
2013	J	`jnl`	ImaGiNe Seldinger: First simulator for Seldinger technique and angiography training. Comput. Methods Programs Biomed. Vincent Luboz, Yan Zhang, Sheena Johnson, Yi Song, Caroline Kilkenny, Carrie Hunt, Helen Woolnough, Sara M. Guediri, Jianhua Zhai, Tolu Odetoyinbo, Peter Littler, A. Fisher, Chris J. Hughes, Nicholas C. Chalmers, D. Kessel, Peter J. Clough, James W. Ward, Roger Phillips, Thien How, Andrew J. Bulpitt, Nigel W. John, Fernando Bello, Derek Gould
2011	—	`conf`	Flythrough data exploration using multi-level classification driven focus and context. MIUA Asif Jamil, Andrew J. Bulpitt
2011	—	`conf`	Segmentation of 3D Vasculatures for Interventional Radiology Simulation. MMVR Yi Song, Vincent Luboz, Nizar Din, Daniel King, Derek Gould, Fernando Bello, Andrew J. Bulpitt
2011	—	`conf`	Texture Analysis of Virtual Slides for Grading Dysplasia in Barretts Oesophagus. MIUA Afzan Adam, Andrew J. Bulpitt, Darren Treanor
2010	J	`jnl`	Gene function prediction using semantic similarity clustering and enrichment analysis in the malaria parasite Bioinform. Philip M. R. Tedder, James R. Bradford, Chris J. Needham, Glenn A. McConkey, Andrew J. Bulpitt, David R. Westhead
2009	C	`conf`	Bayesian Data Integration and Enrichment Analysis for Predicting Gene Function in Malaria. CiE Philip M. R. Tedder, James R. Bradford, Chris J. Needham, Glenn A. McConkey, Andrew J. Bulpitt, David R. Westhead
2009	—	`conf`	Developing An Immersive Ultrasound Guided Needle Puncture Simulator. MMVR Franck Patrick Vidal, Pierre-Frédéric Villard, Richard Holbrey, Nigel W. John, Fernando Bello, Andrew J. Bulpitt, Derek A. Gould
2009	J	`jnl`	From gene expression to gene regulatory networks in Arabidopsis thaliana. BMC Syst. Biol. Chris J. Needham, Iain W. Manfield, Andrew J. Bulpitt, Philip M. Gilmartin, David R. Westhead
2009	—	`conf`	ImaGINe-S: Imaging Guided Interventional Needle Simulation. Eurographics (Medical Prize) 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, Helen Woolnough, Yan Zhang
2009	—	`conf`	Liver Segmentation Using Automatically Defined Patient Specific B-Spline Surface Models. MICCAI (1) Yi Song, Andrew J. Bulpitt, Ken W. Brodlie
2007	J	`jnl`	A Primer on Learning in Bayesian Networks for Computational Biology. PLoS Comput. Biol. Chris J. Needham, James R. Bradford, Andrew J. Bulpitt, David R. Westhead
2007	J	`jnl`	Deleterious SNP prediction: be mindful of your training data! Bioinform. Matthew A. Care, Chris J. Needham, Andrew J. Bulpitt, David R. Westhead
2006	J	`jnl`	Predicting the effect of missense mutations on protein function: analysis with Bayesian networks. BMC Bioinform. Chris J. Needham, James R. Bradford, Andrew J. Bulpitt, Matthew A. Care, David R. Westhead
2004	—	`conf`	A Model for Virtual Suturing in Vascular Surgery. TPCG Richard Holbrey, Andrew J. Bulpitt, Ken Brodlie, Mark Walkley, Julian Scott
2004	—	`conf`	Automatic Identification of Key Sub-Structures for Protein Annotation. METMBS Craig Lucas, Andrew J. Bulpitt
2002	J	`jnl`	AI-based Algorithms for Protein Surface Comparisons. Comput. Chem. Steven J. Pickering, Andrew J. Bulpitt, Nick Efford, Nicola D. Gold, David R. Westhead
2001	A	`conf`	Combining 3D Deformable Models and Level Set Methods for the Segmentation of Abdominal Aortic Aneurysms. BMVC Derek R. Magee, Andrew J. Bulpitt, Elizabeth Berry
2000	J	`jnl`	Learning spatio-temporal patterns for predicting object behaviour. Image Vis. Comput. Neil Sumpter, Andrew J. Bulpitt
1998	Misc	`conf`	Learning Models of Animal Behaviour for a Robotic Sheepdog. MVA Neil Sumpter, Andrew J. Bulpitt, Richard T. Vaughan, Robin D. Tillett, Roger D. Boyle
1998	A	`conf`	Learning Spatio-Temporal Patterns for Predicting Object Behaviour. BMVC Neil Sumpter, Andrew J. Bulpitt
1998	B	`conf`	Spiral CT of abdominal aortic aneurysms: comparison of segmentation with an automatic 3D deformable model and interactive segmentation. Image Processing Andrew J. Bulpitt, Elizabeth Berry
1996	J	`jnl`	An efficient 3D deformable model with a self-optimising mesh. Image Vis. Comput. Andrew J. Bulpitt, Nick Efford
1996	—	`conf`	Global Alignment of MR Images Using a Scale Based Hierarchical Model. ECCV (2) S. Fletcher, Andrew J. Bulpitt, David C. Hogg
1995	A	`conf`	An Efficient 3D Deformable Model with a Self-Optimising Topology. BMVC Andrew J. Bulpitt, Nicholas D. Efford