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IEEE Transactions on Neural Networks and Learning Systems|September 1, 2025
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated LearningTeresa Salazar, Joao Gama, Helder Araujo, et al.
IEEE Journal of Biomedical and Health Informatics|May 5, 2022
Partial Multiple Imputation With Variational Autoencoders: Tackling Not at Randomness in Healthcare DataRicardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues
Progress in Biomedical Engineering (Bristol, England)|December 10, 2024
Enhancing mammography: a comprehensive review of computer methods for improving image qualityJoana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu
Computers in Biology and Medicine|March 1, 2015
Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete valuesPedro J García-Laencina, Pedro Henriques Abreu, Miguel Henriques Abreu, et al.
Thescientificworldjournal|March 5, 2014
Using Kalman filters to reduce noise from RFID location systemPedro Henriques Abreu, José Xavier, Daniel Castro Silva, et al.
International Journal of Cancer|June 10, 2016
Patterns of recurrence and treatment in male breast cancer: A clue to prognosis?Miguel Henriques Abreu, Pedro Henriques Abreu, Noémia Afonso, et al.
Journal of Biomedical Informatics|October 2, 2015
A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patientsMiriam Seoane Santos, Pedro Henriques Abreu, Pedro J García-Laencina, et al.
Breast (Edinburgh, Scotland)|March 28, 2016
Male breast cancer: Looking for better prognostic subgroupsMiguel Henriques Abreu, Noémia Afonso, Pedro Henriques Abreu, et al.
The Oncologist|April 8, 2023
Bone Metastases Detection in Patients with Breast Cancer: Does Bone Scintigraphy Add Information to PET/CT?Joana Cristo Santos, Miguel Henriques Abreu, Miriam Seoane Santos, et al.
Artificial Intelligence Review|September 12, 2022
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciencesMara Graziani, Lidia Dutkiewicz, Davide Calvaresi, et al.
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