Guilherme Pombo

14 papers B 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bidirectional human-AI collaboration in brain tumour assessments improves both expert human and AI agent performance. CoRR 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
2025	J	`jnl`	Deep generative computed perfusion-deficit mapping of ischaemic stroke. CoRR 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
2025	J	`jnl`	Generalizable automated ischaemic stroke lesion segmentation with vision transformers. CoRR 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
2025	J	`jnl`	Predicting brain tumour enhancement from non-contrast MR imaging with artificial intelligence. CoRR 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
2024	J	`jnl`	Computational limits to the legibility of the imaged human brain. NeuroImage James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev
2023	J	`jnl`	Deep Variational Lesion-Deficit Mapping. CoRR Guilherme Pombo, Robert J. Gray, Amy P. K. Nelson, Chris Foulon, John Ashburner, Parashkev Nachev
2023	J	`jnl`	Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. Medical Image Anal. Guilherme Pombo, Robert J. Gray, M. Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev
2023	—	`conf`	InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational Data. ML4MHD 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
2023	J	`jnl`	The legibility of the imaged human brain. CoRR James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev
2023	J	`jnl`	The minimal computational substrate of fluid intelligence. CoRR Amy P. K. Nelson, Joe Mole, Guilherme Pombo, Robert J. Gray, James K. Ruffle, Edgar Chan, Geraint E. Rees, Lisa Cipolotti, Parashkev Nachev
2021	J	`jnl`	Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. CoRR Guilherme Pombo, Robert J. Gray, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev
2019	—	`conf`	Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning. MICCAI (4) Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev
2019	J	`jnl`	Bayesian Volumetric Autoregressive generative models for better semisupervised learning. CoRR Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev
2015	B	`conf`	Limited-Memory Warping LCSS for Real-Time Low-Power Pattern Recognition in Wireless Nodes. EWSN Daniel Roggen, Luis Ponce Cuspinera, Guilherme Pombo, Falah H. Ali, Long-Van Nguyen-Dinh