Guilherme Pombo

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 9

Top Topics

Pattern Recognition

Semisupervised Learning

Top Venues

Medical Image Anal.

Publications

James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev
Computational limits to the legibility of the imaged human brain. NeuroImage 291 (2024)
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
InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational Data. ML4MHD (2023)
Guilherme Pombo, Robert Gray, Amy P. K. Nelson, Chris Foulon, John Ashburner, Parashkev Nachev
Deep Variational Lesion-Deficit Mapping. CoRR (2023)
James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev
The legibility of the imaged human brain. CoRR (2023)
Guilherme Pombo, Robert Gray, M. Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. Medical Image Anal. 84 (2023)
Amy PK Nelson, Joe Mole, Guilherme Pombo, Robert J. Gray, James K. Ruffle, Edgar Chan, Geraint E. Rees, Lisa Cipolotti, Parashkev Nachev
The minimal computational substrate of fluid intelligence. CoRR (2023)
Guilherme Pombo, Robert Gray, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. CoRR (2021)
Guilherme Pombo, Robert Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev
Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning. MICCAI (4) (2019)
Guilherme Pombo, Robert Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev
Bayesian Volumetric Autoregressive generative models for better semisupervised learning. CoRR (2019)
Daniel Roggen, Luis Ponce Cuspinera, Guilherme Pombo, Falah H. Ali, Long-Van Nguyen-Dinh
Limited-Memory Warping LCSS for Real-Time Low-Power Pattern Recognition in Wireless Nodes. EWSN (2015)