15 citations · 15 across the 2 of their papers we have counts for
3 papers
Quality analysis of DCGAN-generated mammography lesions
Basel Alyafi, Oliver Diaz, Joan C Vilanova +2
Medical image synthesis has gained a great focus recently, especially after the introduction of Generative Adversarial Networks (GANs). GANs have been used widely to provide anatom…
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks
Sergi Valverde, Mostafa Salem, Mariano Cabezas +7
In recent years, several convolutional neural network (CNN) methods have been proposed for the automated white matter lesion segmentation of multiple sclerosis (MS) patient images,…
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach
Sergi Valverde, Mariano Cabezas, Eloy Roura +7
In this paper, we present a novel automated method for White Matter (WM) lesion segmentation of Multiple Sclerosis (MS) patient images. Our approach is based on a cascade of two 3D…