Andrew J. Bulpitt

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 12

Top Topics

Depth Estimation

Nonrigid Registration

Top Venues

Publications

Edward Ellis, Andrew J. Bulpitt, Sharib Ali
Ultrasound Image Segmentation and its Evaluation using Various Encoder Architectures. CBMS (2024)
Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network. CoRR (2023)
Rebecca S. Stone, Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali
Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation Task. CLIP/FAIMI/EPIMI@MICCAI (2023)
Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, Venkataraman Subramanian, Sharib Ali
Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy. CoRR (2023)
Soodeh Kalaie, Andrew J. Bulpitt, Alejandro F. Frangi, Ali Gooya
A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs. MIDL (2023)
Rebecca S. Stone, Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task. CoRR (2023)
Deshan Gong, Zhanxing Zhu, Andrew J. Bulpitt, He Wang
Fine-grained differentiable physics: a yarn-level model for fabrics. CoRR (2022)
Mohammed M. Alghamdi, He Wang, Andrew J. Bulpitt, David C. Hogg
Talking Head from Speech Audio using a Pre-trained Image Generator. ACM Multimedia (2022)
Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CVPR Workshops (2022)
Deshan Gong, Zhanxing Zhu, Andrew J. Bulpitt, He Wang
Fine-grained Differentiable Physics: A Yarn-level Model for Fabrics. ICLR (2022)
Mohammed M. Alghamdi, He Wang, Andrew J. Bulpitt, David C. Hogg
Talking Head from Speech Audio using a Pre-trained Image Generator. CoRR (2022)
Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CoRR (2022)
Duane Carey, Nagitha Wijayathunga, Andrew J. Bulpitt, Darren Treanor
A Novel Approach for the Colour Deconvolution of Multiple Histological Stains. MIUA (2015)
Yi Song, Darren Treanor, Andrew J. Bulpitt, Nagitha Wijayathunga, Nick Roberts, Ruth Wilcox, Derek R. Magee
Unsupervised Content Classification Based Nonrigid Registration of Differently Stained Histology Images. IEEE Trans. Biomed. Eng. 61 (1) (2014)
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
Interventional radiology virtual simulator for liver biopsy. Int. J. Comput. Assist. Radiol. Surg. 9 (2) (2014)
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
ImaGiNe Seldinger: First simulator for Seldinger technique and angiography training. Comput. Methods Programs Biomed. 111 (2) (2013)
Afzan Adam, Andrew J. Bulpitt, Darren Treanor
Texture Analysis of Virtual Slides for Grading Dysplasia in Barretts Oesophagus. MIUA (2011)
Asif Jamil, Andrew J. Bulpitt
Flythrough data exploration using multi-level classification driven focus and context. MIUA (2011)
Yi Song, Vincent Luboz, Nizar Din, Daniel King, Derek Gould, Fernando Bello, Andrew J. Bulpitt
Segmentation of 3D Vasculatures for Interventional Radiology Simulation. MMVR (2011)
Philip M. R. Tedder, James R. Bradford, Chris J. Needham, Glenn A. McConkey, Andrew J. Bulpitt, David R. Westhead
. Bioinform. 26 (19) (2010)
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
ImaGINe-S: Imaging Guided Interventional Needle Simulation. Eurographics (Medical Prize) (2009)
Chris J. Needham, Iain W. Manfield, Andrew J. Bulpitt, Philip M. Gilmartin, David R. Westhead
From gene expression to gene regulatory networks in Arabidopsis thaliana. BMC Syst. Biol. 3 (2009)
Yi Song, Andrew J. Bulpitt, Ken W. Brodlie
Liver Segmentation Using Automatically Defined Patient Specific B-Spline Surface Models. MICCAI (1) (2009)
Philip M. R. Tedder, James R. Bradford, Chris J. Needham, Glenn A. McConkey, Andrew J. Bulpitt, David R. Westhead
Bayesian Data Integration and Enrichment Analysis for Predicting Gene Function in Malaria. CiE (2009)
Franck Patrick Vidal, Pierre-Frédéric Villard, Richard Holbrey, Nigel W. John, Fernando Bello, Andrew J. Bulpitt, Derek A. Gould
Developing An Immersive Ultrasound Guided Needle Puncture Simulator. MMVR (2009)
Chris J. Needham, James R. Bradford, Andrew J. Bulpitt, David R. Westhead
A Primer on Learning in Bayesian Networks for Computational Biology. PLoS Comput. Biol. 3 (8) (2007)
Matthew A. Care, Chris J. Needham, Andrew J. Bulpitt, David R. Westhead
Deleterious SNP prediction: be mindful of your training data! Bioinform. 23 (6) (2007)
Chris J. Needham, James R. Bradford, Andrew J. Bulpitt, Matthew A. Care, David R. Westhead
Predicting the effect of missense mutations on protein function: analysis with Bayesian networks. BMC Bioinform. 7 (2006)
Richard Holbrey, Andrew J. Bulpitt, Ken Brodlie, Mark Walkley, Julian Scott
A Model for Virtual Suturing in Vascular Surgery. TPCG (2004)
Craig Lucas, Andrew J. Bulpitt
Automatic Identification of Key Sub-Structures for Protein Annotation. METMBS (2004)
Steven J. Pickering, Andrew J. Bulpitt, Nick Efford, Nicola D. Gold, David R. Westhead
AI-based Algorithms for Protein Surface Comparisons. Comput. Chem. 26 (1) (2002)
Derek R. Magee, Andrew J. Bulpitt, Elizabeth Berry
Combining 3D Deformable Models and Level Set Methods for the Segmentation of Abdominal Aortic Aneurysms. BMVC (2001)
Neil Sumpter, Andrew J. Bulpitt
Learning spatio-temporal patterns for predicting object behaviour. Image Vis. Comput. 18 (9) (2000)
Andrew J. Bulpitt, Elizabeth Berry
Spiral CT of abdominal aortic aneurysms: comparison of segmentation with an automatic 3D deformable model and interactive segmentation. Medical Imaging: Image Processing (1998)
Neil Sumpter, Andrew J. Bulpitt
Learning Spatio-Temporal Patterns for Predicting Object Behaviour. BMVC (1998)
Neil Sumpter, Andrew J. Bulpitt, Richard T. Vaughan, Robin D. Tillett, Roger D. Boyle
Learning Models of Animal Behaviour for a Robotic Sheepdog. MVA (1998)
S. Fletcher, Andrew J. Bulpitt, David C. Hogg
Global Alignment of MR Images Using a Scale Based Hierarchical Model. ECCV (2) (1996)
Andrew J. Bulpitt, Nick Efford
An efficient 3D deformable model with a self-optimising mesh. Image Vis. Comput. 14 (8) (1996)
Andrew J. Bulpitt, Nicholas D. Efford
An Efficient 3D Deformable Model with a Self-Optimising Topology. BMVC (1995)