44 citations · 44 across the 1 of their papers we have counts for
3 papers
eess.IV2019
Global Planar Convolutions for improved context aggregation in Brain Tumor Segmentation
Santi Puch, Irina Sánchez, Aura Hernández +2
In this work, we introduce the Global Planar Convolution module as a building-block for fully-convolutional networks that aggregates global information and, therefore, enhances the…
cs.CV2019
Few-shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition
Santi Puch, Irina Sánchez, Matt Rowe
Image modality recognition is essential for efficient imaging workflows in current clinical environments, where multiple imaging modalities are used to better comprehend complex di…
cs.CV2018★ 44 cited
Brain MRI super-resolution using 3D generative adversarial networks
Irina Sanchez, Veronica Vilaplana
In this work we propose an adversarial learning approach to generate high resolution MRI scans from low resolution images. The architecture, based on the SRGAN model, adopts 3D con…