James D. Brenton

According to our database, James D. Brenton authored at least 8 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation.

Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo

Comput. Biol. Medicine, September, 2023

2022

Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation.

Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo

CoRR, 2022

2020

Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering.

Leonardo Rundo, Lucian Beer, Stephan Ursprung, Paula Martin-Gonzalez, Florian Markowetz, James D. Brenton, Mireia Crispin-Ortuzar, Evis Sala, Ramona Woitek

Comput. Biol. Medicine, 2020

2014

Phylogenetic Quantification of Intra-tumour Heterogeneity.

Roland F. Schwarz, Anne Trinh, Botond Sipos, James D. Brenton, Nick Goldman, Florian Markowetz

PLoS Comput. Biol., 2014

2013

A metadata-aware application for remote scoring and exchange of tissue microarray images.

Lorna Morris, Andrew Tsui, Charles Crichton, Steve Harris, Peter Maccallum, William J. Howat, Jim Davies, James D. Brenton, Carlos Caldas

BMC Bioinform., 2013

2009

Metadata-driven software for clinical trials.

Charles Crichton, Jim Davies, Jeremy Gibbons, Steve Harris, Andrew Tsui, James D. Brenton

Proceedings of the ICSE Workshop on Software Engineering in Health Care, 2009

2008

Metamodel-Based Generation of WSRF-Compliant SOA for Collaborative Cancer Research.

Tianyi Zang, Radu Calinescu, Steve Harris, Andrew Tsui, Charles Crichton, Marta Z. Kwiatkowska, Jeremy Gibbons, Jim Davies, James D. Brenton, Carlos Caldas

Proceedings of the Fourth International Conference on e-Science, 2008

2005

A variational Bayesian mixture modelling framework for cluster analysis of gene-expression data.

Andrew E. Teschendorff, Yanzhong Wang, Nuno L. Barbosa-Morais, James D. Brenton, Carlos Caldas

Bioinform., 2005