publicações selecionadas
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artigo académico
- The chick chorioallantoic membrane assay as an in vivo model for colon tumor analysis with optical coherence tomography. Expert Systems with Applications. 2024
- Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls. Artificial Intelligence in Medicine. 2021
- Breast skin-line detection using dynamic programming. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology SocIETy, EMBS. 2011
- Magnetic Control Platform for Wireless Endoscopic Capsules. Procedia Engineering. 2011
- Application-Level Fault Tolerance in Real-Time Embedded Systems. 2008 International Symposium on Industrial Embedded Systems. 2008
- On separating environmental and speaker adaptation. Seventh International Symposium on Signal Processing and Its Applications, Vol 1, Proceedings. 2003
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artigo de conferência
- A dataflow execution engine for automatic visual inspection of production lines 2022
- Dilated convolutions in retinal blood vessels segmentation 2019
- Ensemble learning approaches for retinal vessel segmentation 2019
- Segmentation squeeze-and-excitation blocks in stroke lesion outcome prediction 2019
- Drinking Water Quality Monitoring: An Alternative Approach to Microbial Contamination Events. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology SocIETy, EMBS. 2018
- Augmenting data when training a CNN for retinal vessel segmentation: How to warp? 2017
- Automated subretinal fluid volume quantification using multi-surface segmentation and sparse high order potentials 2017
- Drusen detection in OCT images with AMD using random forests 2017
- Modelling brain tissues intensities using dirichlet process 2017
- On hierarchical brain tumor segmentation in MRI using fully convolutional neural networks: A preliminary study 2017
- A fully automatic tool for counting Virchow-Robin Spaces in magnetic resonance imaging for lacunar stroke study 2015
- Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology SocIETy, EMBS. 2015
- Random decision forests for automatic brain tumor segmentation on multi-modal MRI images 2015
- Sparse high order potentials for extending multi-surface segmentation of OCT images with drusen. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology SocIETy, EMBS. 2015
- Segmentation of small bowel tumor tissue in capsule endoscopy images by using the MAP algorithm. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology SocIETy, EMBS. 2012
- The GUISurfer Tool: Towards a Language Independent Approach to Reverse Engineering GUI Code 2010
- Aspect-oriented fault tolerance for real-time embedded systems 2008
- An architectural model for small-scale component-oriented frameworks. Computational Methods in Applied Sciences. 2007
- Applying aspects to a real-time embedded operating system 2007
- Design and description of a classification system framework for easier reuse 2007
- Describing framework static structure : promoting interfaces with UML annotations 2006
- Middleware fault tolerance support for the BOSS embedded operating system 2006
- Application development by reusing object-oriented frameworks 2005
- Extending argoUML© for real-time UML® 2004
- Spectral normalization MFCC derived features for robust speech recognition 2004
- Blind source separation by independent component analysis applied to electroencephalographic signals 2003
- Pitch restoration for robust speech recognition. Computational Methods in Applied Sciences. 2003
- Spectral multi-normalisation for robust speech recognition 2003
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artigo de revista
- Combining unsupervised and supervised learning for predicting the final stroke lesion. European Journal of Operational Research. 2021
- Prediction of Stroke Lesion at 90-Day Follow-Up by Fusing Raw DSC-MRI with Parametric Maps Using Deep Learning. IEEE Access. 2021
- Prediction of Stroke Lesion at 90-Day Follow-Up by Fusing Raw DSC-MRI with Parametric Maps Using Deep Learning. IEEE Access. 2021
- On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities. Radiology: Artificial Intelligence. 2020
- Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks. Computational Methods in Applied Sciences. 2019
- Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation. European Journal of Operational Research. 2018
- Hierarchical brain tumour segmentation using extremely randomized trees. Pattern Recognition. 2018
- ISLES 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI. Frontiers in Neurology. 2018
- Retinal vessel segmentation based on Fully Convolutional Neural Networks. Expert Systems with Applications. 2018
- Stroke lesion outcome prediction based on MRI imaging combined with clinical information. Frontiers in Neurology. 2018
- Multi-surface segmentation of OCT images with AMD using sparse high order potentials. Biomedical Optics Express. 2017
- Automatic brain tissue segmentation in MR images using Random Forests and Conditional Random Fields. Journal of Neuroscience Methods. 2016
- Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images. European Journal of Operational Research. 2016
- MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. Computational Intelligence and Neuroscience. 2015
- The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). European Journal of Operational Research. 2015
- Instantiation of a Classification System Framework that facilitates reuse. Journal of Software. 2007
- Implementation of middleware fault tolerance support for real-time embedded applications 2006
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capítulo de livro
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livro
- Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment 2018
- Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction 2018
- Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI 2016
- Development of Embedded Systems Using Oort 2005
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teses