Guilherme Pombo

According to our database, Guilherme Pombo authored at least 12 papers between 2015 and 2025.

Collaborative distances:

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

2025

Bidirectional human-AI collaboration in brain tumour assessments improves both expert human and AI agent performance.

James K. Ruffle, Samia Mohinta, Guilherme Pombo, Asthik Biswas, Alan Campbell, Indran Davagnanam, David Doig, Ahmed Hamman, Harpreet Hyare, Farrah Jabeen, Emma Lim, Dermot Mallon, Stephanie Owen, Sophie Wilkinson, Sebastian Brandner, Parashkev Nachev

CoRR, December, 2025

Predicting brain tumour enhancement from non-contrast MR imaging with artificial intelligence.

James K. Ruffle, Samia Mohinta, Guilherme Pombo, Asthik Biswas, Alan Campbell, Indran Davagnanam, David Doig, Ahmed Hamman, Harpreet Hyare, Farrah Jabeen, Emma Lim, Dermot Mallon, Stephanie Owen, Sophie Wilkinson, Sebastian Brandner, Parashkev Nachev

CoRR, August, 2025

Generalizable automated ischaemic stroke lesion segmentation with vision transformers.

Chris Foulon, Robert J. Gray, James K. Ruffle, Jonathan Best, Tianbo Xu, Henry C. Watkins, Jane Rondina, Guilherme Pombo, Dominic Giles, Paul Wright, Marcela Ovando Tellez, Hans Rolf Jäger, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Parashkev Nachev

CoRR, February, 2025

Deep generative computed perfusion-deficit mapping of ischaemic stroke.

Chayanin Tangwiriyasakul, Pedro Borges, Guilherme Pombo, Stefano Moriconi, Michael S. Elmalem, Paul Wright, Yee-Haur Mah, Jane Rondina, Robert J. Gray, Sébastien Ourselin, Parashkev Nachev, M. Jorge Cardoso

CoRR, February, 2025

2024

Computational limits to the legibility of the imaged human brain.

James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev

NeuroImage, 2024

2023

Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models.

Guilherme Pombo, Robert J. Gray, M. Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev

Medical Image Anal., 2023

The legibility of the imaged human brain.

James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev

CoRR, 2023

The minimal computational substrate of fluid intelligence.

Amy P. K. Nelson, Joe Mole, Guilherme Pombo, Robert J. Gray, James K. Ruffle, Edgar Chan, Geraint E. Rees, Lisa Cipolotti, Parashkev Nachev

CoRR, 2023

Deep Variational Lesion-Deficit Mapping.

Guilherme Pombo, Robert J. Gray, Amy P. K. Nelson, Chris Foulon, John Ashburner, Parashkev Nachev

CoRR, 2023

InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational Data.

Dominic Giles, Robert J. Gray, Chris Foulon, Guilherme Pombo, Tianbo Xu, James K. Ruffle, Hans Rolf Jäger, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Ashwani Jha, Parashkev Nachev

Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023

2019

Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning.

Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2015

Limited-Memory Warping LCSS for Real-Time Low-Power Pattern Recognition in Wireless Nodes.

Daniel Roggen, Luis Ponce Cuspinera, Guilherme Pombo, Falah H. Ali, Long-Van Nguyen-Dinh

Proceedings of the Wireless Sensor Networks - 12th European Conference, 2015