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ORCIDAndrew J. Bulpitt
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- affiliation: University of Leeds, UK
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2020 – today
- 2025
[j12]Pedro Esteban Chavarrias-Solano
, Andrew J. Bulpitt, Venkataraman Subramanian, Sharib Ali:
Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy. Medical Image Anal. 99: 103379 (2025)- 2024
- [c26]Edward Ellis, Andrew J. Bulpitt, Sharib Ali:
Ultrasound Image Segmentation and its Evaluation using Various Encoder Architectures. CBMS 2024: 477-482 - [i6]Soodeh Kalaie, Andy Bulpitt, Alejandro F. Frangi, Ali Gooya:
An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation. CoRR abs/2403.06317 (2024) - 2023
- [c25]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: 153-162 - [c24]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: 426-443 - [i5]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 abs/2309.06807 (2023) - [i4]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 abs/2311.18664 (2023) - 2022
- [c23]Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg:
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CVPR Workshops 2022: 2897-2904 - [c22]Deshan Gong, Zhanxing Zhu, Andrew J. Bulpitt, He Wang:
Fine-grained Differentiable Physics: A Yarn-level Model for Fabrics. ICLR 2022 - [c21]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: 5228-5236 - [i3]Deshan Gong, Zhanxing Zhu, Andrew J. Bulpitt, He Wang:
Fine-grained differentiable physics: a yarn-level model for fabrics. CoRR abs/2202.00504 (2022) - [i2]Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg:
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CoRR abs/2204.09389 (2022) - [i1]Mohammed M. Alghamdi, He Wang, Andrew J. Bulpitt, David C. Hogg:
Talking Head from Speech Audio using a Pre-trained Image Generator. CoRR abs/2209.04252 (2022)
2010 – 2019
- 2018
- [c20]Amirah Alharbi, Andy Bulpitt, Owen A. Johnson:
Towards Unsupervised Detection of Process Models in Healthcare. MIE 2018: 381-385 - 2017
- [c19]Amirah Alharbi, Andy Bulpitt, Owen A. Johnson:
Improving Pattern Detection in Healthcare Process Mining Using an Interval-Based Event Selection Method. BPM (Forum) 2017: 88-105 - 2015
- [c18]Duane Carey, Nagitha Wijayathunga, Andrew J. Bulpitt, Darren Treanor:
A Novel Approach for the Colour Deconvolution of Multiple Histological Stains. MIUA 2015: 156-162 - 2014
- [j11]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): 255-267 (2014) - [j10]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): 96-108 (2014) - [c17]Nicole Kerrison, Andy Bulpitt:
Automated Segmentation of Cell Structure in Microscopy Images. VISAPP (3) 2014: 98-105 - 2013
- [j9]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): 419-434 (2013) - 2011
- [c16]Asif Jamil, Andrew J. Bulpitt:
Flythrough data exploration using multi-level classification driven focus and context. MIUA 2011: 117-122 - [c15]Afzan Adam, Andrew J. Bulpitt, Darren Treanor:
Texture Analysis of Virtual Slides for Grading Dysplasia in Barretts Oesophagus. MIUA 2011: 269-274 - [c14]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: 599-605 - 2010
- [j8]Philip M. R. Tedder, James R. Bradford, Chris J. Needham, Glenn A. McConkey, Andrew J. Bulpitt, David R. Westhead:
Gene function prediction using semantic similarity clustering and enrichment analysis in the malaria parasite Plasmodium falciparum. Bioinform. 26(19): 2431-2437 (2010)
2000 – 2009
- 2009
- [j7]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: 85 (2009) - [c13]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: 457-466 - [c12]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: 5-8 - [c11]Yi Song, Andrew J. Bulpitt, Ken W. Brodlie:
Liver Segmentation Using Automatically Defined Patient Specific B-Spline Surface Models. MICCAI (1) 2009: 43-50 - [c10]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: 398-400 - 2007
- [j6]Matthew A. Care, Chris J. Needham, Andrew J. Bulpitt, David R. Westhead:
Deleterious SNP prediction: be mindful of your training data! Bioinform. 23(6): 664-672 (2007) - [j5]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) - [c9]Matthew Birtwisle, Andy Bulpitt:
A 6DOF Gravity Compensation Scheme for a Phantom Premium Using a Neural Network. MMVR 2007: 43-48 - 2006
- [j4]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: 405 (2006) - 2004
- [c8]Craig Lucas, Andrew J. Bulpitt:
Automatic Identification of Key Sub-Structures for Protein Annotation. METMBS 2004: 463-466 - [c7]Richard Holbrey, Andrew J. Bulpitt, Ken Brodlie, Mark Walkley, Julian Scott:
A Model for Virtual Suturing in Vascular Surgery. TPCG 2004: 50-58 - 2002
- [j3]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): 79-84 (2002) - 2001
- [c6]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: 1-9 - 2000
- [j2]Neil Sumpter, Andrew J. Bulpitt:
Learning spatio-temporal patterns for predicting object behaviour. Image Vis. Comput. 18(9): 697-704 (2000)
1990 – 1999
- 1998
- [c5]Neil Sumpter, Andrew J. Bulpitt:
Learning Spatio-Temporal Patterns for Predicting Object Behaviour. BMVC 1998: 1-10 - [c4]Andrew J. Bulpitt, Elizabeth Berry:
Spiral CT of abdominal aortic aneurysms: comparison of segmentation with an automatic 3D deformable model and interactive segmentation. Image Processing 1998 - [c3]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: 577-580 - 1996
- [j1]Andrew J. Bulpitt, Nick Efford:
An efficient 3D deformable model with a self-optimising mesh. Image Vis. Comput. 14(8): 573-580 (1996) - [c2]S. Fletcher, Andrew J. Bulpitt, David C. Hogg:
Global Alignment of MR Images Using a Scale Based Hierarchical Model. ECCV (2) 1996: 283-292 - 1995
- [c1]Andrew J. Bulpitt, Nicholas D. Efford:
An Efficient 3D Deformable Model with a Self-Optimising Topology. BMVC 1995: 1-10
Coauthor Index
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