Learning-based registration

Improving the detection of new lesions in multiple sclerosis with a cascaded 3D fully convolutional neural network approach

Frontiers in Neuroscience, 2022. Quality index: (JCR N IF 3.707, Q2(97/272)).

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)).

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)).