Carlos Alberto Silva

发表

Adjusting the rate of spread of fire simulations in real-time

Joaquín Ramírez, Santiago Monedero, Adrián Cardil, 2019, Ecological Modelling.

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

Victor Alves, Sérgio Pereira, Carlos A. Silva, 2016, IEEE Transactions on Medical Imaging.

A Fully Automatic Tool for Counting Virchow-Robin Spaces in Magnetic Resonance Imaging for Lacunar Stroke Study

Nuno Sousa, Sérgio Pereira, Carlos A. Silva, 2015, BIOIMAGING.

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.

Carlos Alberto Silva, Sérgio Pereira, Adriano Pinto, 2016, IEEE transactions on medical imaging.

Automatic brain tissue segmentation in MR images using Random Forests and Conditional Random Fields

Carlos Alberto Silva, A. Mendrik, Sérgio Pereira, 2016, Journal of Neuroscience Methods.

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Brian B. Avants, D. Louis Collins, Hervé Delingette, 2015, IEEE Transactions on Medical Imaging.

Spectral Normalisation MFCC Derived Features for Robust Speech Recognition

Carlos Alberto Silva, Carlos Lima, A. Tavares, 2004 .

Retinal vessel segmentation based on Fully Convolutional Neural Networks

Américo Oliveira, Sérgio Pereira, Carlos A. Silva, 2018, Expert Syst. Appl..

Resistência de plantas daninhas aos herbicidas

Carlos Alberto Silva, P. J. Christoffoleti, R. V. Filho, 1994 .

Blind source separation by independent component analysis applied to electroencephalographic signals

Adriano Tavares, Jorge Oliveira, Carlos A. Silva, 2003, MAVEBA.

Enhancing interpretability of automatically extracted machine learning features: application to a RBM‐Random Forest system on brain lesion segmentation

Victor Alves, Richard McKinley, Mauricio Reyes, 2018, Medical Image Anal..

Segmentation Squeeze-and-Excitation Blocks in Stroke Lesion Outcome Prediction

Carlos A. Silva, Joana Amorim, Adriano Pinto, 2019, 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG).

Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction pdf

Victor Alves, Mauricio Reyes, Raphael Meier, 2018, MICCAI.

Hierarchical brain tumour segmentation using extremely randomized trees

Deolinda M. L. D. Rasteiro, Sérgio Pereira, Carlos A. Silva, 2018, Pattern Recognit..

Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features

Higino Correia, Deolinda M. L. D. Rasteiro, Jorge Oliveira, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Understanding and Interpreting Machine Learning in Medical Image Computing Applications

Victor Alves, Mauricio Reyes, Raphael Meier, 2018, Lecture Notes in Computer Science.

Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI

Victor Alves, Sérgio Pereira, Carlos A. Silva, 2015, Brainles@MICCAI.

A language for automatic generation of fast instruction-set compiled simulators

Carlos Couto, José Carlos Metrôlho, Adriano Tavares, 2008, 2008 International Symposium on Industrial Embedded Systems.

Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks

Victor Alves, Alexandrine Ribeiro, Joana Amorim, 2019, IEEE Transactions on Medical Imaging.

Impact of a poison control center on the length of hospital stay of poisoned patients: retrospective cohort.

Carlos Alberto Silva, Á. Atallah, M. Silva, 2011, Sao Paulo medical journal = Revista paulista de medicina.

Stroke Lesion Outcome Prediction Based on MRI Imaging Combined With Clinical Information

Victor Alves, Mauricio Reyes, Roland Wiest, 2018, Front. Neurol..

Integratable capacitive bubble counter for lab-on-chip devices

Tao Dong, Catia Barbosa, Carlos A. Silva, 2014, 2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Dilated Convolutions in Retinal Blood Vessels Segmentation

Carlos A. Silva, Alexandrine Ribeiro, Ana P. Lopes, 2019, 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG).

Design and Description of a Classification System Framework for Easier Reuse

Adriano Tavares, João L. Monteiro, Carlos A. Silva, 2007, 14th Annual IEEE International Conference and Workshops on the Engineering of Computer-Based Systems (ECBS'07).

Instantiation of a Classification System Framework that Facilitates Reuse

Adriano Tavares, João L. Monteiro, Carlos A. Silva, 2007, J. Softw..

Automatic brain tissue segmentation in MR images using Random Forests and Conditional Random Fields

Carlos Alberto Silva, A. Mendrik, Sérgio Pereira, 2016, Journal of Neuroscience Methods.

On separating environmental and speaker adaptation

Adriano Tavares, Jorge Oliveira, Carlos A. Silva, 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

Describing framework static structure : promoting interfaces with UML annotations

Carlos Silva, João L. Monteiro, Adriano Tavares, 2006 .

Middleware Fault Tolerance Support for the BOSS Embedded Operating System

Sergio Montenegro, Adriano Tavares, Carlos A. Silva, 2006, 2006 International Workshop on Intelligent Solutions in Embedded Systems.

Breast skin-line detection using dynamic programming

Carlos A. Silva, J. H. Correia, Carlos Alberto Silva, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.