Pedro Borges

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 24

Top Topics

Video Transmission

Emergency Management

Sparse Approximation

Top Venues

Comput. Optim. Appl.

Medical Image Anal.

Publications

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 (2024)
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 (2024)
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 (2024)
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)
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 (2023)
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)
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 (2022)
Edward Kim, Tobias Andersen, Marventus, Justin Tabish, A. E., Pedro Borges, David Schmidt, Matthew Western
Emergency Management and Recovery of Luna Classic. CoRR (2022)
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)
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)
Ricardo Costa, Pedro Borges, João Cerdeira, Luís Lima
Intelligent Appliances for AAL Environments. ISAmI (2022)
Pedro Borges
Cut-sharing across trees and efficient sequential sampling for SDDP with uncertainty in the RHS. Comput. Optim. Appl. 82 (3) (2022)
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 (2022)
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) (2021)
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) (2021)
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 (2021)
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 (2021)
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)
Kerstin Kläser, Pedro Borges, Richard Shaw, Marta Ranzini, Marc Modat, David Atkinson, Kris Thielemans, Brian F. Hutton, Vicky Goh, Gary Cook, M. Jorge Cardoso, Sébastien Ourselin
Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis. SASHIMI@MICCAI (2020)
Pedro Borges, Carole H. Sudre, Thomas Varsavsky, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
Physics-Informed Brain MRI Segmentation. SASHIMI@MICCAI (2019)
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)
Pedro Borges, André Mourão, João Magalhães
Large-scale high-dimensional indexing by sparse hashing with l 0 approximation. Multim. Tools Appl. 76 (22) (2017)
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) (2015)
Pedro Borges, André Mourão, João Magalhães
High-Dimensional Indexing by Sparse Approximation. ICMR (2015)
André Mourão, Pedro Borges, Nuno Correia, João Magalhães
Sparse reconstruction of facial expressions with localized gabor moments. EUSIPCO (2014)
Roger Immich, Pedro Borges, Eduardo Cerqueira, Marília Curado
Adaptive motion-aware FEC-based mechanism to ensure video transmission. ISCC (2014)
André Mourão, Pedro Borges, Nuno Correia, João Magalhães
Facial Expression Recognition by Sparse Reconstruction with Robust Features. ICIAR (2013)
Paula Monteiro, Pedro Borges, Ricardo Jorge Machado, Pedro Ribeiro
A reduced set of RUP roles to small software development teams. ICSSP (2012)
Pedro Borges, Paula Monteiro, Ricardo Jorge Machado
Mapping RUP Roles to Small Software Development Teams. SWQD (2012)
Pedro Borges, Paula Monteiro, Ricardo Jorge Machado
Tailoring RUP to Small Software Development Teams. EUROMICRO-SEAA (2011)