Deep Learning

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)).

EVOLUTION

Predictive models for multiple sclerosis using brain magnetic resonance imaging biomarkers.