375 citations · 553 across the 4 of their papers we have counts for
6 papers
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas, Mauricio Reyes, Andras Jakab +421
Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritum…
Survival prediction using ensemble tumor segmentation and transfer learning
Mariano Cabezas, Sergi Valverde, Sandra González-Villà +6
Segmenting tumors and their subregions is a challenging task as demonstrated by the annual BraTS challenge. Moreover, predicting the survival of the patient using mainly imaging fe…
Acute and sub-acute stroke lesion segmentation from multimodal MRI
Albert Clèrigues, Sergi Valverde, Jose Bernal +3
Acute stroke lesion segmentation tasks are of great clinical interest as they can help doctors make better informed treatment decisions. Magnetic resonance imaging (MRI) is time de…
Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging
Jose Bernal, Kaisar Kushibar, Mariano Cabezas +3
Accurate brain tissue segmentation in Magnetic Resonance Imaging (MRI) has attracted the attention of medical doctors and researchers since variations in tissue volume help in diag…
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
Jose Bernal, Kaisar Kushibar, Daniel S. Asfaw +4
In recent years, deep convolutional neural networks (CNNs) have shown record-shattering performance in a variety of computer vision problems, such as visual object recognition, det…
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features
Kaisar Kushibar, Sergi Valverde, Sandra Gonzalez-Villa +4
Sub-cortical brain structure segmentation in Magnetic Resonance Images (MRI) has attracted the interest of the research community for a long time because morphological changes in t…