Pedro Borges - RankMe

43 papers B 3C 1Journal 21Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Methodology for Clinically Driven Interactive Segmentation Evaluation. HAIC@MICCAI Parhom Esmaeili, Pedro Borges, Virginia Fernandez, Eli Gibson, Sébastien Ourselin, M. Jorge Cardoso
2025	—	`conf`	A Resource-Constrained Embedded Aedes Aegypti Mosquito Classifier for the Edge. LASCAS Pedro Borges, Lucas Dal Castel, José Rodrigo Azambuja
2025	J	`jnl`	A methodology for clinically driven interactive segmentation evaluation. CoRR Parhom Esmaeili, Virginia Fernandez, Pedro Borges, Eli Gibson, Sébastien Ourselin, M. Jorge Cardoso
2025	J	`jnl`	DIST-CLIP: Arbitrary Metadata and Image Guided MRI Harmonization via Disentangled Anatomy-Contrast Representations. CoRR Mehmet Yigit Avci, Pedro Borges, Virginia Fernandez, Paul Wright, Mehmet Yigitsoy, Sébastien Ourselin, Jorge Cardoso
2025	J	`jnl`	Deep generative computed perfusion-deficit mapping of ischaemic stroke. CoRR Chayanin Tangwiriyasakul, Pedro Borges, Guilherme Pombo, Stefano Moriconi, Michael S. Elmalem, Paul Wright, Yee-Haur Mah, Jane Rondina, Robert J. Gray, Sébastien Ourselin, Parashkev Nachev, M. Jorge Cardoso
2025	J	`jnl`	Dynamic causal discovery in Alzheimer's disease through latent pseudotime modelling. CoRR Natalia Glazman, Jyoti Mangal, Pedro Borges, Sébastien Ourselin, M. Jorge Cardoso
2025	—	`conf`	MR-CLIP: Efficient Metadata-Guided Learning of MRI Contrast Representations. MLMI@MICCAI Mehmet Yigit Avci, Pedro Borges, Paul Wright, Mehmet Yigitsoy, Sébastien Ourselin, Manual Jorge Cardoso
2025	J	`jnl`	MR-CLIP: Efficient Metadata-Guided Learning of MRI Contrast Representations. CoRR Mehmet Yigit Avci, Pedro Borges, Paul Wright, Mehmet Yigitsoy, Sébastien Ourselin, Manuel Jorge Cardoso
2025	J	`jnl`	Metadata-Aligned 3D MRI Representations for Contrast Understanding and Quality Control. CoRR Mehmet Yigit Avci, Pedro Borges, Virginia Fernandez, Paul Wright, Mehmet Yigitsoy, Sébastien Ourselin, Jorge Cardoso
2025	—	`conf`	Unsupervised MRI Harmonization via Parameter Prediction and Super-Resolved MPMs. SASHIMI@MICCAI 2025 Pedro Borges, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2024	J	`jnl`	Acquisition-invariant brain MRI segmentation with informative uncertainties. Medical Image Anal. Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
2024	J	`jnl`	Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study. CoRR Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi, Paul Wright, Yee-Haur Mah, James T. Teo, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2024	J	`jnl`	Generating multi-pathological and multi-modal images and labels for brain MRI. Medical Image Anal. Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Petru-Daniel Tudosiu, Tom Vercauteren, M. Jorge Cardoso
2024	J	`jnl`	Realistic morphology-preserving generative modelling of the brain. Nat. Mac. Intell. 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
2024	—	`conf`	Using MR Physics for Domain Generalisation and Super-Resolution. SASHIMI@MICCAI Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations. DGM4MICCAI Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso
2023	J	`jnl`	A 3D generative model of pathological multi-modal MR images and segmentations. CoRR Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso
2023	—	`conf`	Framework to Generate Perfusion Map from CT and CTA Images in Patients with Acute Ischemic Stroke: A Longitudinal and Cross-Sectional Study. BrainLes/SWITCH@MICCAI Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi, Paul Wright, Yee-Haur Mah, James T. Teo, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift. SASHIMI@MICCAI Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	—	`conf`	Can Segmentation Models Be Trained with Fully Synthetically Generated Data? SASHIMI@MICCAI Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso
2022	J	`jnl`	Can segmentation models be trained with fully synthetically generated data? CoRR Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso
2022	J	`jnl`	Cut-sharing across trees and efficient sequential sampling for SDDP with uncertainty in the RHS. Comput. Optim. Appl. Pedro Borges
2022	J	`jnl`	Emergency Management and Recovery of Luna Classic. CoRR Edward Kim, Tobias Andersen, Marventus, Justin Tabish, A. E., Pedro Borges, David Schmidt, Matthew Western
2022	—	`conf`	Intelligent Appliances for AAL Environments. ISAmI Ricardo Costa, Pedro Borges, João Cerdeira, Luís C. Lima
2022	—	`conf`	Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. SASHIMI@MICCAI 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
2022	J	`jnl`	Morphology-preserving Autoregressive 3D Generative Modelling of the Brain. CoRR 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
2021	J	`jnl`	A regularized smoothing method for fully parameterized convex problems with applications to convex and nonconvex two-stage stochastic programming. Math. Program. Pedro Borges, Claudia A. Sagastizábal, Mikhail V. Solodov
2021	J	`jnl`	Acquisition-invariant brain MRI segmentation with informative uncertainties. CoRR Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
2021	J	`jnl`	Decomposition Algorithms for Some Deterministic and Two-Stage Stochastic Single-Leader Multi-Follower Games. Comput. Optim. Appl. Pedro Borges, Claudia A. Sagastizábal, Mikhail V. Solodov
2021	—	`conf`	The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties. SASHIMI@MICCAI Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, Manuel Jorge Cardoso
2021	J	`jnl`	The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties. CoRR Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
2020	—	`conf`	Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis. SASHIMI@MICCAI 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
2019	—	`conf`	Physics-Informed Brain MRI Segmentation. SASHIMI@MICCAI Pedro Borges, Carole H. Sudre, Thomas Varsavsky, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
2017	J	`jnl`	Large-scale high-dimensional indexing by sparse hashing with l 0 approximation. Multim. Tools Appl. Pedro Borges, André Mourão, João Magalhães
2017	B	`conf`	Towards a Hybrid Intrusion Detection System for Android-based PPDR terminals. IM Pedro Borges, Bruno Sousa, Luís Ferreira, Firooz B. Saghezchi, Georgios Mantas, José Carlos Ribeiro, Jonathan Rodriguez, Luís Cordeiro, Paulo Simões
2015	B	`conf`	High-Dimensional Indexing by Sparse Approximation. ICMR Pedro Borges, André Mourão, João Magalhães
2015	J	`jnl`	QoE-driven video delivery improvement using packet loss prediction. Int. J. Parallel Emergent Distributed Syst. Roger Immich, Pedro Borges, Eduardo Cerqueira, Marília Curado
2014	C	`conf`	Adaptive motion-aware FEC-based mechanism to ensure video transmission. ISCC Roger Immich, Pedro Borges, Eduardo Cerqueira, Marília Curado
2014	—	`conf`	Sparse reconstruction of facial expressions with localized gabor moments. EUSIPCO André Mourão, Pedro Borges, Nuno Correia, João Magalhães
2013	—	`conf`	Facial Expression Recognition by Sparse Reconstruction with Robust Features. ICIAR André Mourão, Pedro Borges, Nuno Correia, João Magalhães
2012	B	`conf`	A reduced set of RUP roles to small software development teams. ICSSP Paula Monteiro, Pedro Borges, Ricardo Jorge Machado, Pedro Ribeiro
2012	—	`conf`	Mapping RUP Roles to Small Software Development Teams. SWQD Pedro Borges, Paula Monteiro, Ricardo Jorge Machado
2011	—	`conf`	Tailoring RUP to Small Software Development Teams. EUROMICRO-SEAA Pedro Borges, Paula Monteiro, Ricardo Jorge Machado