Andrew J. Bulpitt

Orcid: 0000-0002-7905-4540

Affiliations:
  • University of Leeds, UK


According to our database1, Andrew J. Bulpitt authored at least 38 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation.
CoRR, 2024

Ultrasound Image Segmentation and its Evaluation using Various Encoder Architectures.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023
Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy.
CoRR, 2023

A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs.
Proceedings of the Medical Imaging with Deep Learning, 2023

Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation Task.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022
Talking Head from Speech Audio using a Pre-trained Image Generator.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Fine-grained Differentiable Physics: A Yarn-level Model for Fabrics.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2018
Towards Unsupervised Detection of Process Models in Healthcare.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

2017
Improving Pattern Detection in Healthcare Process Mining Using an Interval-Based Event Selection Method.
Proceedings of the Business Process Management Forum, 2017

2015
A Novel Approach for the Colour Deconvolution of Multiple Histological Stains.
Proceedings of the Medical Image Understanding and Analysis, 2015

2014
Unsupervised Content Classification Based Nonrigid Registration of Differently Stained Histology Images.
IEEE Trans. Biomed. Eng., 2014

Interventional radiology virtual simulator for liver biopsy.
Int. J. Comput. Assist. Radiol. Surg., 2014

Automated Segmentation of Cell Structure in Microscopy Images.
Proceedings of the VISAPP 2014, 2014

2013
ImaGiNe Seldinger: First simulator for Seldinger technique and angiography training.
Comput. Methods Programs Biomed., 2013

2011
Segmentation of 3D Vasculatures for Interventional Radiology Simulation.
Proceedings of the Medicine Meets Virtual Reality 18 - NextMed, 2011

Flythrough data exploration using multi-level classification driven focus and context.
Proceedings of the Medical Image Understanding and Analysis, 2011

Texture Analysis of Virtual Slides for Grading Dysplasia in Barretts Oesophagus.
Proceedings of the Medical Image Understanding and Analysis, 2011

2010
Gene function prediction using semantic similarity clustering and enrichment analysis in the malaria parasite <i>Plasmodium falciparum</i>.
Bioinform., 2010

2009
From gene expression to gene regulatory networks in Arabidopsis thaliana.
BMC Syst. Biol., 2009

Developing An Immersive Ultrasound Guided Needle Puncture Simulator.
Proceedings of the Medicine Meets Virtual Reality 17 - NextMed: Design for/the Well Being, 2009

Liver Segmentation Using Automatically Defined Patient Specific B-Spline Surface Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

ImaGINe-S: Imaging Guided Interventional Needle Simulation.
Proceedings of the 30th Annual Conference of the European Association for Computer Graphics, 2009

Bayesian Data Integration and Enrichment Analysis for Predicting Gene Function in Malaria.
Proceedings of the Mathematical Theory and Computational Practice, 2009

2007
A Primer on Learning in Bayesian Networks for Computational Biology.
PLoS Comput. Biol., 2007

Deleterious SNP prediction: be mindful of your training data!
Bioinform., 2007

A 6DOF Gravity Compensation Scheme for a Phantom Premium Using a Neural Network.
Proceedings of the Medicine Meets Virtual Reality 15, 2007

2006
Predicting the effect of missense mutations on protein function: analysis with Bayesian networks.
BMC Bioinform., 2006

2004
A Model for Virtual Suturing in Vascular Surgery.
Proceedings of the Theory and Practice of Computer Graphics 2004 (TPCG 2004), 2004

Automatic Identification of Key Sub-Structures for Protein Annotation.
Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2004

2002
AI-based Algorithms for Protein Surface Comparisons.
Comput. Chem., 2002

2001
Combining 3D Deformable Models and Level Set Methods for the Segmentation of Abdominal Aortic Aneurysms.
Proceedings of the British Machine Vision Conference 2001, 2001

2000
Learning spatio-temporal patterns for predicting object behaviour.
Image Vis. Comput., 2000

1998
Learning Models of Animal Behaviour for a Robotic Sheepdog.
Proceedings of IAPR Workshop on Machine Vision Applications, 1998

Spiral CT of abdominal aortic aneurysms: comparison of segmentation with an automatic 3D deformable model and interactive segmentation.
Proceedings of the Medical Imaging 1998: Image Processing, 1998

1996
An efficient 3D deformable model with a self-optimising mesh.
Image Vis. Comput., 1996

Global Alignment of MR Images Using a Scale Based Hierarchical Model.
Proceedings of the Computer Vision, 1996

1995
An Efficient 3D Deformable Model with a Self-Optimising Topology.
Proceedings of the British Machine Vision Conference, 1995


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