Publications

Automatic localisation and per-region quantification of traumatic brain injury on head CT using atlas mapping

Carolina Piçarra, Stefan Winzeck, Miguel Monteiro, Francois Mathieu, Virginia FJ Newcombe, David K Menon, Ben Glocker

Published in European Journal of Radiology Open, 2023

[paper] [cite]

Advancing probabilistic and causal deep learning in medical image analysis

Miguel Monteiro

Published in Imperial College London, 2023

[thesis] [cite]

High fidelity image counterfactuals with probabilistic causal models

Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker

Published in Proceedings of the 40th International Conference on Machine Learning (ICML 2023), 2023

[paper] [code] [cite]

Measuring axiomatic soundness of counterfactual image models

Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C Castro, Ben Glocker

Published in The Eleventh International Conference on Learning Representations (ICLR 2023), 2023

[paper] [code] [virtual poster] [cite] [poster] [slides]

Analysing the effectiveness of a generative model for semi-supervised medical image segmentation

Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker

Published in arXiv preprint, 2022

[paper] [cite]

Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury

Margherita Rosnati, Eyal Soreq, Miguel Monteiro, Lucia Li, Neil SN Graham, Karl Zimmerman, Carlotta Rossi, Greta Carrara, Guido Bertolini, David J Sharp, Ben Glocker

Published in International Workshop on Machine Learning in Clinical Neuroimaging, 2022

[paper] [cite]

Structured uncertainty in the observation space of variational autoencoders

James Langley, Miguel Monteiro, Charles Jones, Nick Pawlowski, Ben Glocker

Published in arXiv preprint, 2022

[paper] [cite]

Active label cleaning for improved dataset quality under resource constraints

Mélanie Bernhardt, Daniel C Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay

Published in Nature communications, 2022

[paper] [cite]

Relationship of admission blood proteomic biomarkers levels to lesion type and lesion burden in traumatic brain injury: A CENTER-TBI study

Daniel P Whitehouse, Miguel Monteiro, Endre Czeiter, Thijs Vande Vyvere, Fernanda Valerio, Zheng Ye, Krisztina Amrein, Konstantinos Kamnitsas, Haiyan Xu, Zhihui Yang, Jan Verheyden, Tilak Das, Evgenios N Kornaropoulos, Ewout Steyerberg, Andrew IR Maas, Kevin KW Wang, András Büki, Ben Glocker, David K Menon, Virginia FJ Newcombe

Published in EBioMedicine, 2021

[paper] [cite]

Systemic Markers of Injury and Injury Response Are Not Associated with Impaired Cerebrovascular Reactivity in Adult Traumatic Brain Injury: A Collaborative European Neurotrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Study

Frederick A Zeiler, François Mathieu, Miguel Monteiro, Ben Glocker, Ari Ercole, Manuel Cabeleira, Nino Stocchetti, Peter Smielewski, Marek Czosnyka, Virginia Newcombe, David K Menon, Collaborative European Neurotrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) High-Resolution ICU (HR ICU) Sub-Study Participants and Investigators

Published in Journal of Neurotrauma, 2021

[paper] [cite]

Stochastic segmentation networks: Modelling spatially correlated aleatoric uncertainty

Miguel Monteiro, Loic Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker

Published in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020

[paper] [code] [cite] [poster] [slides] [interactive demo]

Impact of antithrombotic agents on radiological lesion progression in acute traumatic brain injury: A CENTER-TBI propensity-matched cohort analysis

Francois Mathieu, Helge Guting, Benjamin Gravesteijn, Miguel Monteiro, Ben Glocker, Evgenios N Kornaropoulos, Konstantinos Kamnitsas, Claudia S Robertson, Harvey Levin, Daniel P Whitehouse, Tilak Das, Hester F Lingsma, Marc Maegele, Virginia Newcombe, David Menon

Published in Journal of Neurotrauma, 2020

[paper] [cite]

Diffuse intracranial injury patterns are associated with impaired cerebrovascular reactivity in adult traumatic brain injury: a CENTER-TBI validation study

Frederick A Zeiler, François Mathieu, Miguel Monteiro, Ben Glocker, Ari Ercole, Erta Beqiri, Manuel Cabeleira, Nino Stocchetti, Peter Smielewski, Marek Czosnyka, Virginia Newcombe, David K Menon

Published in Journal of Neurotrauma, 2020

[paper] [cite]

Relationship between measures of cerebrovascular reactivity and intracranial lesion progression in acute TBI patients: a CENTER-TBI study

Francois Mathieu, Frederick A Zeiler, Ari Ercole, Miguel Monteiro, Konstantinos Kamnitsas, Ben Glocker, Daniel P Whitehouse, Tilak Das, Peter Smieleweski, Peter John Hutchinson, Marek Czosnyka, Virginia Newcombe, David Menon

Published in Journal of Neurotrauma, 2020

[paper] [cite]

TBI lesion segmentation in head CT: Impact of preprocessing and data augmentation

Miguel Monteiro, Konstantinos Kamnitsas, Enzo Ferrante, Francois Mathieu, Steven McDonagh, Sam Cook, Susan Stevenson, Tilak Das, Aneesh Khetani, Tom Newman, Fred Zeiler, Richard Digby, Jonathan P Coles, Daniel Rueckert, David K Menon, Virginia FJ Newcombe, Ben Glocker

Published in Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. 5th International Workshop, BrainLes 2019, 2020

[paper] [cite] [poster]

Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study

Miguel Monteiro, Virginia FJ Newcombe, Francois Mathieu, Krishma Adatia, Konstantinos Kamnitsas, Enzo Ferrante, Tilak Das, Daniel Whitehouse, Daniel Rueckert, David K Menon, Ben Glocker

Published in The Lancet Digital Health, 2020

[paper] [code] [cite] [podcast]

Conditional random fields as recurrent neural networks for 3d medical imaging segmentation

Miguel Monteiro, Mário AT Figueiredo, Arlindo L Oliveira

Published in MED-NEURIPS 2018, 2018

[paper] [cite] [workshop]

ISLES 2016 and 2017 - Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI

Stefan Winzeck et al.

Published in Frontiers in Neurology, 2018

[paper] [cite]

Using Machine Learning to Improve the Prediction of Functional Outcome in Ischemic Stroke Patients

Miguel Monteiro, Ana Catarina, Ana Teresa Freitas, Teresa Pinho e Melo, Alexandre P Francisco, José M Ferro, Arlindo L Oliveira

Published in IEEE/ACM transactions on computational biology and bioinformatics, 2018

[paper] [cite]

Fully convolutional neural network for 3D stroke lesion segmentation

Miguel Monteiro, Monteiro, Arlindo L Oliveira

Published in Ischemic Stroke Lesion Segmentation - ISLES challenge 2017, Quebec, Canada, 2017

[paper] [cite] [challenge] [code]

Improving the Prediction of Functional Outcome in Ischemic Stroke Patients

Miguel Monteiro, Ana Catarina, Ana Teresa Freitas, Teresa Pinho e Melo, Alexandre P Francisco, José M Ferro, Arlindo L Oliveira

Published in International Workshop on Data Mining in Bioinformatics (BIOKDD), 2017