Fully convolutional neural networks

Deep learning methods for automated detection of new multiple sclerosis lesions in longitudinal magnetic resonance images

PhD thesis in Brain Medical Image Analysis, Department of Computer Architecture and Technology, University of Girona, Spain, 2020.

A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis

NeuroImage: Clinical, 2020. Quality index: (JCR N IF 3.943, Q1(3/14)).

Multiple Sclerosis Lesion Synthesis in MRI Using an Encoder-Decoder U-NET

IEEE Access, 2019. Quality index: (JCR CSIS IF 4.098, Q1(23/155)).

Detecting the appearance of new T2-w multiple sclerosis lesions in longitudinal studies using deep convolutional neural networks

Abstract in Multiple Sclerosis Journal, Stockholm Sweden, September, 2019 (JCR CN IF:5.649 Q1(23/199)).

Lesion synthesis for extending MRI training datasets and improving automatic multiple sclerosis lesion segmentation

Abstract in Multiple Sclerosis Journal, Stockholm Sweden, September, 2019 (JCR CN IF:5.649 Q1(23/199)).