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Algoritmi | User | Sérgio Rafael Mano Pereira

Sérgio Rafael Mano Pereira

Sérgio Rafael Mano Pereira

At Algoritmi

Research Collaborator with MSc

Member of the CST R&D Group

Academic Degree

MSc

Current Position

Other at Escola de Engenharia da Universidade do Minho

Personal Webpage

Personal Email

id5692@alunos.uminho.pt

Orcid

0000-0002-4298-0903

Researcher ID

N-9642-2015

FCT Public Key

J604190xgnc7

Ciência ID

6272480000000000

Google Scholar

Combining unsupervised and supervised learning for predicting the final stroke lesion

Medical Image Analysis

2021 | journal-article

On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities

Radiology: Artificial Intelligence

2020 | journal-article

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

IEEE Transactions on Medical Imaging

2019 | journal-article

Segmentation squeeze-and-excitation blocks in stroke lesion outcome prediction

6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019 - Proceedings

2019 | conference-paper

Retinal vessel segmentation based on Fully Convolutional Neural Networks

Expert Systems with Applications

2018 | journal-article

A low-cost automatic fall prevention system for inpatients

2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2018

2018 | conference-paper

Adaptive feature recombination and recalibration for semantic segmentation: application to brain tumor segmentation in MRI

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2018 | book

Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2018 | book

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2018 | book

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

Medical Image Analysis

2018 | journal-article

Hierarchical brain tumour segmentation using extremely randomized trees

Pattern Recognition

2018 | journal-article

iMIMIC 2018 preface

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2018 | book

Augmenting data when training a CNN for retinal vessel segmentation: How to warp?

ENBENG 2017 - 5th Portuguese Meeting on Bioengineering, Proceedings

2017 | conference-paper

Modelling brain tissues intensities using dirichlet process

ENBENG 2017 - 5th Portuguese Meeting on Bioengineering, Proceedings

2017 | conference-paper

Multi-surface segmentation of OCT images with AMD using sparse high order potentials

Biomedical Optics Express

2017 | journal-article

On hierarchical brain tumor segmentation in MRI using fully convolutional neural networks: A preliminary study

ENBENG 2017 - 5th Portuguese Meeting on Bioengineering, Proceedings

2017 | conference-paper

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

Journal of Neuroscience Methods

2016 | journal-article

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

IEEE Transactions on Medical Imaging

2016 | journal-article

Deep convolutional neural networks for the segmentation of gliomas in multi-sequence MRI

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2016 | book

A fully automatic tool for counting Virchow-Robin Spaces in magnetic resonance imaging for lacunar stroke study

BIOIMAGING 2015 - 2nd International Conference on Bioimaging, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015

2015 | conference-paper

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 | conference-paper

Crime prediction using regression and resources optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2015 | book

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans

Computational Intelligence and Neuroscience

2015 | journal-article

Random decision forests for automatic brain tumor segmentation on multi-modal MRI images

Proceedings - 2015 IEEE 4th Portuguese Meeting on Bioengineering, ENBENG 2015

2015 | conference-paper

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 | conference-paper

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

IEEE Transactions on Medical Imaging

2015 | journal-article

A middleware for intelligent environments in ambient assisted living

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

2014 | conference-paper

Optical Filter for Providing the Required Illumination to Enable Narrow Band Imaging

Procedia Engineering

2014 | journal-article

Automatic Brain Tissue Segmentation of Multi-sequence MR images using Random Decision Forests

Grand Challenge on MR Brain Image Segmentation workshop - MICCAI

2013 | conference-paper

Automatic brain tumor segmentation of multi-sequence mr images using random decision forests

Proceedings of NCI-MICCAI BRATS

2013 | conference-paper

Deteção automática de Espaços de Virchow-Robin em imagens de ressonância magnética

University of Minho

2013 | dissertation-thesis

Combining unsupervised and supervised learning for predicting the final stroke lesion

Medical Image Analysis

2021 | journal-article

On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities

Radiology: Artificial Intelligence

2020 | journal-article

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

IEEE Transactions on Medical Imaging

2019 | journal-article

Segmentation squeeze-and-excitation blocks in stroke lesion outcome prediction

6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019 - Proceedings

2019 | conference-paper

Retinal vessel segmentation based on Fully Convolutional Neural Networks

Expert Systems with Applications

2018 | journal-article

A low-cost automatic fall prevention system for inpatients

2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2018

2018 | conference-paper

Adaptive feature recombination and recalibration for semantic segmentation: application to brain tumor segmentation in MRI

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2018 | book

Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2018 | book

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2018 | book

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

Medical Image Analysis

2018 | journal-article

Hierarchical brain tumour segmentation using extremely randomized trees

Pattern Recognition

2018 | journal-article

iMIMIC 2018 preface

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2018 | book

Augmenting data when training a CNN for retinal vessel segmentation: How to warp?

ENBENG 2017 - 5th Portuguese Meeting on Bioengineering, Proceedings

2017 | conference-paper

Modelling brain tissues intensities using dirichlet process

ENBENG 2017 - 5th Portuguese Meeting on Bioengineering, Proceedings

2017 | conference-paper

Multi-surface segmentation of OCT images with AMD using sparse high order potentials

Biomedical Optics Express

2017 | journal-article

On hierarchical brain tumor segmentation in MRI using fully convolutional neural networks: A preliminary study

ENBENG 2017 - 5th Portuguese Meeting on Bioengineering, Proceedings

2017 | conference-paper

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

Journal of Neuroscience Methods

2016 | journal-article

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

IEEE Transactions on Medical Imaging

2016 | journal-article

Deep convolutional neural networks for the segmentation of gliomas in multi-sequence MRI

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2016 | book

A fully automatic tool for counting Virchow-Robin Spaces in magnetic resonance imaging for lacunar stroke study

BIOIMAGING 2015 - 2nd International Conference on Bioimaging, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015

2015 | conference-paper

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 | conference-paper

Crime prediction using regression and resources optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2015 | book

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans

Computational Intelligence and Neuroscience

2015 | journal-article

Random decision forests for automatic brain tumor segmentation on multi-modal MRI images

Proceedings - 2015 IEEE 4th Portuguese Meeting on Bioengineering, ENBENG 2015

2015 | conference-paper

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 | conference-paper

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

IEEE Transactions on Medical Imaging

2015 | journal-article

A middleware for intelligent environments in ambient assisted living

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

2014 | conference-paper

Optical Filter for Providing the Required Illumination to Enable Narrow Band Imaging

Procedia Engineering

2014 | journal-article

Automatic Brain Tissue Segmentation of Multi-sequence MR images using Random Decision Forests

Grand Challenge on MR Brain Image Segmentation workshop - MICCAI

2013 | conference-paper

Automatic brain tumor segmentation of multi-sequence mr images using random decision forests

Proceedings of NCI-MICCAI BRATS

2013 | conference-paper

Deteção automática de Espaços de Virchow-Robin em imagens de ressonância magnética

University of Minho

2013 | dissertation-thesis