Limited-memory warping LCSS for real-time low-power pattern recognition in wireless nodes D Roggen, LP Cuspinera, G Pombo, F Ali, LV Nguyen-Dinh Wireless Sensor Networks: 12th European Conference, EWSN 2015, Porto …, 2015 | 32 | 2015 |
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3d deep generative models G Pombo, R Gray, MJ Cardoso, S Ourselin, G Rees, J Ashburner, ... Medical Image Analysis 84, 102723, 2023 | 27 | 2023 |
BRAIN TUMOUR GENETIC NETWORK SIGNATURES SUPERIORLY FORECAST SURVIVAL J Ruffle, S Mohinta, G Pombo, R Gray, V Kopanitsa, F Lee, S Brandner, ... Neuro-Oncology 25 (Supplement_3), iii3-iii3, 2023 | 7* | 2023 |
Bayesian Volumetric Autoregressive generative models for better semisupervised learning G Pombo, R Gray, T Varsavsky, J Ashburner, P Nachev Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 7 | 2019 |
Computational limits to the legibility of the imaged human brain JK Ruffle, RJ Gray, S Mohinta, G Pombo, C Kaul, H Hyare, G Rees, ... NeuroImage 291, 120600, 2024 | 1 | 2024 |
Deep Variational Lesion-Deficit Mapping G Pombo, R Gray, APK Nelson, C Foulon, J Ashburner, P Nachev arXiv preprint arXiv:2305.17478, 2023 | 1 | 2023 |
Knowledge-driven deep neural network models for brain tumour segmentation F Colecchia, JK Ruffle, GC Pombo, R Gray, H Hyare, P Nachev Journal of Physics: Conference Series 1662 (1), 012010, 2020 | 1 | 2020 |
The minimal computational substrate of fluid intelligence APK Nelson, J Mole, G Pombo, RJ Gray, JK Ruffle, E Chan, GE Rees, ... Cortex 179, 62-76, 2024 | | 2024 |
Deep generative modelling of the imaged human brain G Pombo UCL (University College London), 2023 | | 2023 |
InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational Data D Giles, R Gray, C Foulon, G Pombo, T Xu, JK Ruffle, HR Jäger, ... Workshop on Machine Learning for Multimodal Healthcare Data, 172-188, 2023 | | 2023 |