304 citations · 544 across the 5 of their papers we have counts for
5 papers
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…
Retinal vessel segmentation based on Fully Convolutional Neural Networks
Américo Oliveira, Sérgio Pereira, Carlos A. Silva
The retinal vascular condition is a reliable biomarker of several ophthalmologic and cardiovascular diseases, so automatic vessel segmentation may be crucial to diagnose and monito…
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…
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…
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…