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2020 – today
- 2024
[j7]Pedro Borges
, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
Acquisition-invariant brain MRI segmentation with informative uncertainties. Medical Image Anal. 92: 103058 (2024)- [j6]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Petru-Daniel Tudosiu, Tom Vercauteren, M. Jorge Cardoso:
Generating multi-pathological and multi-modal images and labels for brain MRI. Medical Image Anal. 97: 103278 (2024) - [c17]Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Using MR Physics for Domain Generalisation and Super-Resolution. SASHIMI@MICCAI 2024: 177-186 - [i7]Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi, Paul Wright, Yee H. Mah, James T. Teo, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study. CoRR abs/2404.04025 (2024) - 2023
- [c16]Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift. SASHIMI@MICCAI 2023: 53-63 - [c15]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso:
A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations. DGM4MICCAI 2023: 132-142 - [i6]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso:
A 3D generative model of pathological multi-modal MR images and segmentations. CoRR abs/2311.04552 (2023) - 2022
- [j5]Pedro Borges:
Cut-sharing across trees and efficient sequential sampling for SDDP with uncertainty in the RHS. Comput. Optim. Appl. 82(3): 617-647 (2022) - [c14]Ricardo Costa, Pedro Borges, João Cerdeira, Luís C. Lima:
Intelligent Appliances for AAL Environments. ISAmI 2022: 65-73 - [c13]Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Mark S. Graham, Pedro Borges, Virginia Fernandez, Dai Yang, Jeremy Appleyard, Guido Novati, Disha Mehra, Mike Vella, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. SASHIMI@MICCAI 2022: 66-78 - [c12]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso:
Can Segmentation Models Be Trained with Fully Synthetically Generated Data? SASHIMI@MICCAI 2022: 79-90 - [i5]Edward Kim, Tobias Andersen, Marventus, Justin Tabish, A. E., Pedro Borges, David Schmidt, Matthew Western:
Emergency Management and Recovery of Luna Classic. CoRR abs/2207.01700 (2022) - [i4]Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Mark S. Graham, Pedro Borges, Virginia Fernandez, Dai Yang, Jeremy Appleyard, Guido Novati, Disha Mehra, Mike Vella, Parashkev Nachev, Sébastien Ourselin, Jorge Cardoso:
Morphology-preserving Autoregressive 3D Generative Modelling of the Brain. CoRR abs/2209.03177 (2022) - [i3]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso:
Can segmentation models be trained with fully synthetically generated data? CoRR abs/2209.08256 (2022) - 2021
- [j4]Pedro Borges, Claudia A. Sagastizábal, Mikhail V. Solodov:
Decomposition Algorithms for Some Deterministic and Two-Stage Stochastic Single-Leader Multi-Follower Games. Comput. Optim. Appl. 78(3): 675-704 (2021) - [j3]Pedro Borges, Claudia A. Sagastizábal, Mikhail V. Solodov:
A regularized smoothing method for fully parameterized convex problems with applications to convex and nonconvex two-stage stochastic programming. Math. Program. 189(1): 117-149 (2021) - [c11]Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, Manuel Jorge Cardoso:
The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties. SASHIMI@MICCAI 2021: 67-76 - [i2]Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties. CoRR abs/2111.02771 (2021) - [i1]Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
Acquisition-invariant brain MRI segmentation with informative uncertainties. CoRR abs/2111.04094 (2021) - 2020
- [c10]Kerstin Kläser, Pedro Borges, Richard Shaw, Marta Ranzini, Marc Modat, David Atkinson, Kris Thielemans, Brian F. Hutton, Vicky Goh, Gary J. Cook, M. Jorge Cardoso, Sébastien Ourselin:
Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis. SASHIMI@MICCAI 2020: 110-119
2010 – 2019
- 2019
- [c9]Pedro Borges, Carole H. Sudre, Thomas Varsavsky, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
Physics-Informed Brain MRI Segmentation. SASHIMI@MICCAI 2019: 100-109 - 2017
- [j2]Pedro Borges, André Mourão, João Magalhães:
Large-scale high-dimensional indexing by sparse hashing with l 0 approximation. Multim. Tools Appl. 76(22): 24389-24412 (2017) - [c8]Pedro Borges, Bruno Sousa, Luis Ferreira, Firooz B. Saghezchi, Georgios Mantas, José Carlos Ribeiro, Jonathan Rodriguez, Luís Cordeiro, Paulo Simões:
Towards a Hybrid Intrusion Detection System for Android-based PPDR terminals. IM 2017: 1034-1039 - 2015
- [j1]Roger Immich, Pedro Borges, Eduardo Cerqueira, Marília Curado:
QoE-driven video delivery improvement using packet loss prediction. Int. J. Parallel Emergent Distributed Syst. 30(6): 478-493 (2015) - [c7]Pedro Borges, André Mourão, João Magalhães:
High-Dimensional Indexing by Sparse Approximation. ICMR 2015: 163-170 - 2014
- [c6]André Mourão, Pedro Borges, Nuno Correia, João Magalhães:
Sparse reconstruction of facial expressions with localized gabor moments. EUSIPCO 2014: 1642-1646 - [c5]Roger Immich, Pedro Borges, Eduardo Cerqueira, Marília Curado:
Adaptive motion-aware FEC-based mechanism to ensure video transmission. ISCC 2014: 1-6 - 2013
- [c4]André Mourão, Pedro Borges, Nuno Correia, João Magalhães:
Facial Expression Recognition by Sparse Reconstruction with Robust Features. ICIAR 2013: 107-115 - 2012
- [c3]Paula Monteiro, Pedro Borges, Ricardo Jorge Machado, Pedro Ribeiro:
A reduced set of RUP roles to small software development teams. ICSSP 2012: 190-199 - [c2]Pedro Borges, Paula Monteiro, Ricardo Jorge Machado:
Mapping RUP Roles to Small Software Development Teams. SWQD 2012: 59-70 - 2011
- [c1]Pedro Borges, Paula Monteiro, Ricardo Jorge Machado:
Tailoring RUP to Small Software Development Teams. EUROMICRO-SEAA 2011: 306-309
Coauthor Index
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