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Andrew J. Bulpitt
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- affiliation: University of Leeds, UK
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2020 – today
- 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
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
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
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
Talking Head from Speech Audio using a Pre-trained Image Generator. ACM Multimedia 2022: 5228-5236 - [i3]Deshan Gong, Zhanxing Zhu, Andrew J. Bulpitt
Fine-grained differentiable physics: a yarn-level model for fabrics. CoRR abs/2202.00504 (2022) - [i2]Rebecca S. Stone
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CoRR abs/2204.09389 (2022) - [i1]Mohammed M. Alghamdi, He Wang, Andrew J. Bulpitt
Talking Head from Speech Audio using a Pre-trained Image Generator. CoRR abs/2209.04252 (2022)
2010 – 2019
- 2018
- [c20]Amirah Alharbi, Andy Bulpitt
Towards Unsupervised Detection of Process Models in Healthcare. MIE 2018: 381-385 - 2017
- [c19]Amirah Alharbi, Andy Bulpitt
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
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
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
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
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
From gene expression to gene regulatory networks in Arabidopsis thaliana. BMC Syst. Biol. 3: 85 (2009) - [c13]Philip M. R. Tedder, James R. Bradford
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
Developing An Immersive Ultrasound Guided Needle Puncture Simulator. MMVR 2009: 398-400 - 2007
- [j6]Matthew A. Care
Deleterious SNP prediction: be mindful of your training data! Bioinform. 23(6): 664-672 (2007) - [j5]Chris J. Needham, James R. Bradford
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
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
A Model for Virtual Suturing in Vascular Surgery. TPCG 2004: 50-58 - 2002
- [j3]Steven J. Pickering, Andrew J. Bulpitt
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
Spiral CT of abdominal aortic aneurysms: comparison of segmentation with an automatic 3D deformable model and interactive segmentation. Medical Imaging: 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
An efficient 3D deformable model with a self-optimising mesh. Image Vis. Comput. 14(8): 573-580 (1996) - [c2]S. Fletcher, Andrew J. Bulpitt
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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last updated on 2024-10-07 21:25 CEST by the dblp team
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