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Pedro Borges
Pedro Borges
Research Associate in AI-enabled Neurology, King’s College London
Verified email at kcl.ac.uk
Title
Cited by
Cited by
Year
Can segmentation models be trained with fully synthetically generated data?
V Fernandez, WHL Pinaya, P Borges, PD Tudosiu, MS Graham, ...
International Workshop on Simulation and Synthesis in Medical Imaging, 79-90, 2022
312022
Physics-informed brain MRI segmentation
P Borges, C Sudre, T Varsavsky, D Thomas, I Drobnjak, S Ourselin, ...
Simulation and Synthesis in Medical Imaging: 4th International Workshop …, 2019
152019
Morphology-preserving autoregressive 3D generative modelling of the brain
PD Tudosiu, WHL Pinaya, MS Graham, P Borges, V Fernandez, D Yang, ...
International Workshop on Simulation and Synthesis in Medical Imaging, 66-78, 2022
132022
A multi-channel uncertainty-aware multi-resolution network for MR to CT synthesis
K Klaser, P Borges, R Shaw, M Ranzini, M Modat, D Atkinson, ...
Applied sciences 11 (4), 1667, 2021
112021
Informative and reliable tract segmentation for preoperative planning
O Lucena, P Borges, J Cardoso, K Ashkan, R Sparks, S Ourselin
Frontiers in radiology 2, 866974, 2022
42022
Uncertainty-aware multi-resolution whole-body MR to CT synthesis
K Kläser, P Borges, R Shaw, M Ranzini, M Modat, D Atkinson, ...
Simulation and Synthesis in Medical Imaging: 5th International Workshop …, 2020
42020
Acquisition-invariant brain MRI segmentation with informative uncertainties
P Borges, R Shaw, T Varsavsky, K Kläser, D Thomas, I Drobnjak, ...
Medical Image Analysis 92, 103058, 2024
32024
Assessing informative tract segmentation and nTMS for pre-operative planning
O Lucena, JP Lavrador, H Irzan, C Semedo, P Borges, F Vergani, ...
Journal of Neuroscience Methods 396, 109933, 2023
12023
The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties
P Borges, R Shaw, T Varsavsky, K Klaser, D Thomas, I Drobnjak, ...
Simulation and Synthesis in Medical Imaging: 6th International Workshop …, 2021
12021
Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study
C Tangwiriyasakul, P Borges, S Moriconi, P Wright, YH Mah, J Teo, ...
arXiv preprint arXiv:2404.04025, 2024
2024
Physics-Based Image Synthesis for MRI Sequence Standardisation
P Borges
UCL (University College London), 2023
2023
A 3D generative model of pathological multi-modal MR images and segmentations
V Fernandez, WHL Pinaya, P Borges, MS Graham, T Vercauteren, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
2023
Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift
P Borges, V Fernandez, PD Tudosiu, P Nachev, S Ourselin, MJ Cardoso
International Workshop on Simulation and Synthesis in Medical Imaging, 53-63, 2023
2023
Check for updates A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations
V Fernandez, WHL Pinaya, P Borges
Deep Generative Models: Third MICCAI Workshop, DGM4MICCAI 2023, Held in …, 0
Gamma-Radiomics applied to quality control in radiotherapy
CC Yaly, PHM Borges, JF Pavoni
Analysis of texture in medical images for correlation between statistical characteristics in clinical oncology
PHM Borges, JF Pavoni, GV Arruda, AF Ciuffi
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