activity
20182022
most citedAdaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks

82 citations · 129 across the 3 of their papers we have counts for

collaborators

6 papers

eess.IV2022

Generation of Synthetic Rat Brain MRI scans with a 3D Enhanced Alpha-GAN

André Ferreira, Ricardo Magalhães, Sébastien Mériaux +1

Translational brain research using Magnetic Resonance Imaging (MRI) is becoming increasingly popular as animal models are an essential part of scientific studies and more ultra-hig…

eess.IV202147 cited

Combining unsupervised and supervised learning for predicting the final stroke lesion

Adriano Pinto, Sérgio Pereira, Raphael Meier +4

Predicting the final ischaemic stroke lesion provides crucial information regarding the volume of salvageable hypoperfused tissue, which helps physicians in the difficult decision-…

cs.CV202082 cited

Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks

Sergio Pereira, Adriano Pinto, Joana Amorim +3

Fully Convolutional Networks have been achieving remarkable results in image semantic segmentation, while being efficient. Such efficiency results from the capability of segmenting…

cs.CV2018

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

Sergio Pereira, Raphael Meier, Victor Alves +2

Glioblastoma Multiforme is a high grade, very aggressive, brain tumor, with patients having a poor prognosis. Lower grade gliomas are less aggressive, but they can evolve into high…

cs.CV2018

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

Adriano Pinto, Sergio Pereira, Raphael Meier +4

Stroke is the second most common cause of death in developed countries, where rapid clinical intervention can have a major impact on a patient's life. To perform the revascularizat…

cs.CV2018

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

Sérgio Pereira, Victor Alves, Carlos A. Silva

Convolutional neural networks (CNNs) have been successfully used for brain tumor segmentation, specifically, fully convolutional networks (FCNs). FCNs can segment a set of voxels a…