James D. Brenton

12 papers Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Developing Predictive and Robust Radiomics Models for Chemotherapy Response in High-Grade Serous Ovarian Carcinoma.
CoRR
Sepideh Hatamikia, Geevarghese George, Florian Schwarzhans, Amirreza Mahbod, Marika Reinius, Ali Abbasian Ardakani, Mercedes Jimenez-Linan, Satish Viswanath, Mireia Crispin-Ortuzar, Lorena Escudero Sanchez, Evis Sala, James D. Brenton, Ramona Woitek
2025 J jnl
Multi-task deep learning for automatic image segmentation and treatment response assessment in metastatic ovarian cancer.
Int. J. Comput. Assist. Radiol. Surg.
Bevis Drury, Inês Prata Machado, Zeyu Gao, Thomas Buddenkotte, Golnar Mahani, Gabriel Funingana, Marika Reinius, Cathal McCague, Ramona Woitek, Anju Sahdev, Evis Sala, James D. Brenton, Mireia Crispin-Ortuzar
2024 J jnl
A Self-Supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer.
CoRR
Inês Prata Machado, Anna Reithmeir, Fryderyk Victor Kögl, Leonardo Rundo, Gabriel Funingana, Marika Reinius, Gift Mungmeeprued, Zeyu Gao, Cathal McCague, Eric Kerfoot, Ramona Woitek, Evis Sala, Yangming Ou, James D. Brenton, Julia A. Schnabel, Mireia Crispin
2024 — conf
A Self-supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer.
WBIR
Inês Prata Machado, Anna Reithmeir, Fryderyk Victor Kögl, Leonardo Rundo, Gabriel Funingana, Marika Reinius, Gift Mungmeeprued, Zeyu Gao, Cathal McCague, Eric Kerfoot, Ramona Woitek, Evis Sala, Yangming Ou, James D. Brenton, Julia A. Schnabel, Mireia Crispin
2023 J jnl
Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation.
Comput. Biol. Medicine
Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo
2022 J jnl
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation.
CoRR
Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo
2020 J jnl
Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering.
Comput. Biol. Medicine
Leonardo Rundo, Lucian Beer, Stephan Ursprung, Paula Martín-González, Florian Markowetz, James D. Brenton, Mireia Crispin-Ortuzar, Evis Sala, Ramona Woitek
2014 J jnl
Phylogenetic Quantification of Intra-tumour Heterogeneity.
PLoS Comput. Biol.
Roland F. Schwarz, Anne Trinh, Botond Sipos, James D. Brenton, Nick Goldman, Florian Markowetz
2013 J jnl
A metadata-aware application for remote scoring and exchange of tissue microarray images.
BMC Bioinform.
Lorna Morris, Andrew Tsui, Charles Crichton, Steve Harris, Peter Maccallum, William J. Howat, Jim Davies, James D. Brenton, Carlos Caldas
2009 — conf
Metadata-driven software for clinical trials.
SEHC@ICSE
Charles Crichton, Jim Davies, Jeremy Gibbons, Steve Harris, Andrew Tsui, James D. Brenton
2008 — conf
Metamodel-Based Generation of WSRF-Compliant SOA for Collaborative Cancer Research.
eScience
Tianyi Zang, Radu Calinescu, Steve Harris, Andrew Tsui, Charles Crichton, Marta Z. Kwiatkowska, Jeremy Gibbons, Jim Davies, James D. Brenton, Carlos Caldas
2005 J jnl
A variational Bayesian mixture modelling framework for cluster analysis of gene-expression data.
Bioinform.
Andrew E. Teschendorff, Yanzhong Wang, Nuno L. Barbosa-Morais, James D. Brenton, Carlos Caldas