Tailoring RUP to Small Software Development Teams. - Pedro Borges; Paula Monteiro; Ricardo Jorge Machado 001 (EUROMICRO-SEAA, 2011)

A reduced set of RUP roles to small software development teams. - Paula Monteiro; Pedro Borges; Ricardo Jorge Machado 001; Pedro Ribeiro 001 (ICSSP, 2012)

Mapping RUP Roles to Small Software Development Teams. - Pedro Borges; Paula Monteiro; Ricardo Jorge Machado 001 (SWQD, 2012)

Facial Expression Recognition by Sparse Reconstruction with Robust Features. - André Mourão; Pedro Borges; Nuno Correia 001; João Magalhães (ICIAR, 2013)

Sparse reconstruction of facial expressions with localized gabor moments. - André Mourão; Pedro Borges; Nuno Correia 001; João Magalhães (EUSIPCO, 2014)

Adaptive motion-aware FEC-based mechanism to ensure video transmission. - Roger Immich; Pedro Borges; Eduardo Cerqueira; Marília Curado (ISCC, 2014)

High-Dimensional Indexing by Sparse Approximation. - Pedro Borges; André Mourão; João Magalhães (ICMR, 2015)

QoE-driven video delivery improvement using packet loss prediction. - Roger Immich; Pedro Borges; Eduardo Cerqueira; Marília Curado (Int. J. Parallel Emergent Distributed Syst., 2015)

Towards a Hybrid Intrusion Detection System for Android-based PPDR terminals. - Pedro Borges; Bruno Sousa; Luís Ferreira; Firooz B. Saghezchi; Georgios Mantas; José Carlos Ribeiro; Jonathan Rodriguez 001; Luís Cordeiro; Paulo Simões 001 (IM, 2017)

Large-scale high-dimensional indexing by sparse hashing with l 0 approximation. - Pedro Borges; André Mourão; João Magalhães (Multim. Tools Appl., 2017)

Physics-Informed Brain MRI Segmentation. - Pedro Borges; Carole H. Sudre; Thomas Varsavsky; David Thomas 002; Ivana Drobnjak; Sébastien Ourselin; M. Jorge Cardoso (SASHIMI@MICCAI, 2019)

Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis. - Kerstin Kläser 002; 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 (SASHIMI@MICCAI, 2020)

The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties. - Pedro Borges; Richard Shaw; Thomas Varsavsky; Kerstin Kläser 002; David Thomas 002; Ivana Drobnjak; Sébastien Ourselin; Manuel Jorge Cardoso (SASHIMI@MICCAI, 2021)

Decomposition Algorithms for Some Deterministic and Two-Stage Stochastic Single-Leader Multi-Follower Games. - Pedro Borges; Claudia A. Sagastizábal; Mikhail V. Solodov (Comput. Optim. Appl., 2021)

A regularized smoothing method for fully parameterized convex problems with applications to convex and nonconvex two-stage stochastic programming. - Pedro Borges; Claudia A. Sagastizábal; Mikhail V. Solodov (Math. Program., 2021)

Intelligent Appliances for AAL Environments. - Ricardo Costa; Pedro Borges; João Cerdeira; Luís C. Lima (ISAmI, 2022)

Can Segmentation Models Be Trained with Fully Synthetically Generated Data? - Virginia Fernandez; Walter Hugo Lopez Pinaya; Pedro Borges; Petru-Daniel Tudosiu; Mark S. Graham; Tom Vercauteren; M. Jorge Cardoso (SASHIMI@MICCAI, 2022)

Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. - 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; et al. (SASHIMI@MICCAI, 2022)

Cut-sharing across trees and efficient sequential sampling for SDDP with uncertainty in the RHS. - Pedro Borges (Comput. Optim. Appl., 2022)

Emergency Management and Recovery of Luna Classic. - Edward Kim; Tobias Andersen; Marventus; Justin Tabish; A. E.; Pedro Borges; David Schmidt; Matthew Western (CoRR, 2022)

Framework to Generate Perfusion Map from CT and CTA Images in Patients with Acute Ischemic Stroke: A Longitudinal and Cross-Sectional Study. - Chayanin Tangwiriyasakul; Pedro Borges; Stefano Moriconi; Paul Wright 001; Yee-Haur Mah; James T. Teo; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (BrainLes/SWITCH@MICCAI, 2023)

Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift. - Pedro Borges; Virginia Fernandez; Petru-Daniel Tudosiu; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (SASHIMI@MICCAI, 2023)

A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations. - Virginia Fernandez; Walter Hugo Lopez Pinaya; Pedro Borges; Mark S. Graham; Tom Vercauteren; M. Jorge Cardoso (DGM4MICCAI, 2023)

Using MR Physics for Domain Generalisation and Super-Resolution. - Pedro Borges; Virginia Fernandez; Petru-Daniel Tudosiu; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (SASHIMI@MICCAI, 2024)

Generating multi-pathological and multi-modal images and labels for brain MRI. - Virginia Fernandez; Walter Hugo Lopez Pinaya; Pedro Borges; Mark S. Graham; Petru-Daniel Tudosiu; Tom Vercauteren; M. Jorge Cardoso (Medical Image Anal., 2024)

Realistic morphology-preserving generative modelling of the brain. - Petru-Daniel Tudosiu; Walter H. L. Pinaya; Pedro Ferreira Da Costa; Jessica Dafflon; Ashay Patel; Pedro Borges; Virginia Fernandez; Mark S. Graham; Robert J. Gray; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (Nat. Mac. Intell., 2024)

Acquisition-invariant brain MRI segmentation with informative uncertainties. - Pedro Borges; Richard Shaw; Thomas Varsavsky; Kerstin Kläser 002; David Thomas 002; Ivana Drobnjak; Sébastien Ourselin; M. Jorge Cardoso (Medical Image Anal., 2024)

A Resource-Constrained Embedded Aedes Aegypti Mosquito Classifier for the Edge. - Pedro Borges; Lucas Dal Castel; José Rodrigo Azambuja (LASCAS, 2025)

Deep generative computed perfusion-deficit mapping of ischaemic stroke. - Chayanin Tangwiriyasakul; Pedro Borges; Guilherme Pombo; Stefano Moriconi; Michael S. Elmalem; Paul Wright 001; Yee-Haur Mah; Jane Rondina; Robert J. Gray; Sébastien Ourselin; Parashkev Nachev; M. Jorge Cardoso (CoRR, 2025)

MR-CLIP: Efficient Metadata-Guided Learning of MRI Contrast Representations. - Mehmet Yigit Avci; Pedro Borges; Paul Wright 001; Mehmet Yigitsoy; Sébastien Ourselin; Manuel Jorge Cardoso (CoRR, 2025)