On separating environmental and speaker adaptation. - Carlos S. Lima; Carlos A. Silva 002; Adriano Tavares; Jorge F. Oliveira 001 (ISSPA (1), 2003)

Blind source separation by independent component analysis applied to electroencephalographic signals. - Carlos S. Lima; Carlos A. Silva 002; Adriano Tavares; Jorge F. Oliveira 001 (MAVEBA, 2003)

Pitch Restoration for Robust Speech Recognition. - Carlos S. Lima; Adriano Tavares; Carlos A. Silva 002 (PROPOR, 2003)

Middleware Fault Tolerance Support for the BOSS Embedded Operating System. - Francisco Afonso; Carlos A. Silva 002; Sergio Montenegro 001; Adriano Tavares (WISES, 2006)

Applying aspects to a real-time embedded operating system. - Francisco Afonso; Carlos A. Silva 002; Sergio Montenegro 001; Adriano Tavares (ACP4IS, 2007)

Design and Description of a Classification System Framework for Easier Reuse. - Sérgio F. Lopes; Adriano Tavares; João Monteiro 001; Carlos A. Silva 002 (ECBS, 2007)

An Architectural Model for Small-Scale Component-Oriented Frameworks. - Sérgio F. Lopes; Adriano Tavares; João Monteiro 001; Carlos A. Silva 002 (ECSA, 2007)

Instantiation of a Classification System Framework that Facilitates Reuse. - Sérgio F. Lopes; Adriano Tavares; João Monteiro 001; Carlos A. Silva 002 (J. Softw., 2007)

Aspect-oriented fault tolerance for real-time embedded systems. - Francisco Afonso; Carlos A. Silva 002; Nuno Brito; Sergio Montenegro 001; Adriano Tavares (ACP4IS@AOSD, 2008)

Application-level fault tolerance in real-time embedded systems. - Francisco Afonso; Carlos A. Silva 002; Adriano Tavares; Sergio Montenegro 001 (SIES, 2008)

A language for automatic generation of fast instruction-set compiled simulators. - José Carlos Metrôlho; Carlos Couto; Carlos A. Silva 002; Adriano Tavares (SIES, 2008)

Breast skin-line detection using dynamic programming. - Carlos A. Silva 002; C. G. Lima; J. H. Correia (EMBC, 2011)

Automatic detection of microaneurysm based on the slant stacking. - Jorge F. Oliveira 002; Graça Minas; Carlos A. Silva 002 (CBMS, 2013)

A middleware for intelligent environments in ambient assisted living. - Rui Pereira; Carla Barros; Sérgio Pereira; Paulo M. Mendes 002; Carlos A. Silva 002 (EMBC, 2014)

Integratable capacitive bubble counter for lab-on-chip devices. - Catia Barbosa; Carlos A. Silva 002; Tao Dong (MeMeA, 2014)

Design and characterization of a multiplexed capillary-driven lab-on-chip for water quality analysis. - Carlos Honrado; Carlos A. Silva 002; Tao Dong (MeMeA, 2014)

A Fully Automatic Tool for Counting Virchow-Robin Spaces in Magnetic Resonance Imaging for Lacunar Stroke Study. - Sérgio Pereira; José Antonio Mariz; Nuno J. Sousa; J. H. Correia; Carlos A. Silva 002 (BIOIMAGING, 2015)

Sparse high order potentials for extending multi-surface segmentation of OCT images with drusen. - Jorge Oliveira 004; Sérgio Pereira; Luís Gonçalves; Manuel Ferreira 001; Carlos A. Silva 002 (EMBC, 2015)

Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features. - Adriano Pinto; Sérgio Pereira; Higino Correia; Jorge F. Oliveira 002; Deolinda M. L. D. Rasteiro; Carlos A. Silva 002 (EMBC, 2015)

Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI. - Sérgio Pereira; Adriano Pinto; Victor Alves; Carlos A. Silva 002 (Brainles@MICCAI, 2015)

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. - Adriënne M. Mendrik; Koen L. Vincken; Hugo J. Kuijf; Marcel Breeuwer; Willem H. Bouvy; Jeroen de Bresser; Amir Alansary; Marleen de Bruijne; Aaron Carass; Ayman El-Baz; Amod Jog; Ranveer Katyal; et al. (Comput. Intell. Neurosci., 2015)

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). - Bjoern H. Menze; András Jakab; Stefan Bauer; Jayashree Kalpathy-Cramer; Keyvan Farahani; Justin S. Kirby; Yuliya Burren; Nicole Porz; Johannes Slotboom; Roland Wiest; Levente Lanczi; Elizabeth R. Gerstner; et al. (IEEE Trans. Medical Imaging, 2015)

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images. - Sérgio Pereira; Adriano Pinto; Victor Alves; Carlos A. Silva 002 (IEEE Trans. Medical Imaging, 2016)

Drinking Water Quality Monitoring: An Alternative Approach to Microbial Contamination Events. - João Carlos Gomes Simões; Tao Dong 006; Yili Yang; Carlos A. Silva 002 (EMBC, 2018)

Adaptive Feature Recombination and Recalibration for Semantic Segmentation: Application to Brain Tumor Segmentation in MRI. - Sérgio Pereira; Victor Alves; Carlos A. Silva 002 (MICCAI (3), 2018)

Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment. - Sérgio Pereira; Raphael Meier; Victor Alves; Mauricio Reyes 001; Carlos A. Silva 002 (MLCN/DLF/iMIMIC@MICCAI, 2018)

Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction. - Adriano Pinto; Sérgio Pereira; Raphael Meier; Victor Alves; Roland Wiest; Carlos A. Silva 002; Mauricio Reyes 001 (MICCAI (3), 2018)

Retinal vessel segmentation based on Fully Convolutional Neural Networks. - Américo Oliveira; Sérgio Pereira; Carlos A. Silva 002 (Expert Syst. Appl., 2018)

Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation. - Sérgio Pereira; Raphael Meier; Richard McKinley; Roland Wiest; Victor Alves; Carlos A. Silva 002; Mauricio Reyes 001 (Medical Image Anal., 2018)

Hierarchical brain tumour segmentation using extremely randomized trees. - Adriano Pinto; Sérgio Pereira; Deolinda M. L. D. Rasteiro; Carlos A. Silva 002 (Pattern Recognit., 2018)

Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks. - Sérgio Pereira; Adriano Pinto; Joana Amorim; Alexandrine Ribeiro; Victor Alves; Carlos A. Silva 002 (IEEE Trans. Medical Imaging, 2019)

Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation. - Carlos A. Silva 002; Adriano Pinto; Sérgio Pereira; Ana Lopes (BrainLes@MICCAI (2), 2020)

Prediction of Stroke Lesion at 90-Day Follow-Up by Fusing Raw DSC-MRI With Parametric Maps Using Deep Learning. - Adriano Pinto; Joana Amorim; Arsany Hakim; Victor Alves; Mauricio Reyes 001; Carlos A. Silva 002 (IEEE Access, 2021)

Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls. - Carla Barros; Carlos A. Silva 002; Ana P. Pinheiro (Artif. Intell. Medicine, 2021)

Combining unsupervised and supervised learning for predicting the final stroke lesion. - Adriano Pinto; Sérgio Pereira; Raphael Meier; Roland Wiest; Victor Alves; Mauricio Reyes 001; Carlos A. Silva 002 (Medical Image Anal., 2021)

A dataflow execution engine for automatic visual inspection of production lines. - Daniel F. Silva; Ana P. Lopes; Daniel Costa; José Cabral; Carlos A. Silva 002; Sérgio Lopes (IECON, 2022)

Documentation-driven GUI development for integration of image processing libraries. - Ana P. Lopes; Daniel F. Silva; Sérgio F. Lopes; José Higino Correia; Carlos S. Lima; Carlos A. Silva 002 (INDIN, 2022)

The chick chorioallantoic membrane assay as an in vivo model for colon tumor analysis with optical coherence tomography. - Hugo M. Pereira; Ruben B. Freitas; Marino J. Maciel; Sara Pimenta; Marta Costa; Fátima Baltazar; Carlos A. Silva 002; José H. Correia (Expert Syst. Appl., 2024)