Machine learning

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 supervised framework with intensity subtraction and deformation field features for the detection of new T2-w lesions in multiple sclerosis

NeuroImage: Clinical, 2018. Quality index: (JCR N IF 3.943, Q1(3/14)).

Supervised detection of newly appearing T2-w multiple sclerosis lesions with subtraction and deformation fields features

Abstract in Multiple Sclerosis Journal, Paris, France, October, 2017 (JCR CN IF:5.649 Q1(23/199)).