brain Tag

New article: Supervised Domain Adaptation for Automatic Sub-cortical Brain Structure Segmentation with Minimal User Interaction

In recent years, the deep learning based methods achieved the state of the art for medical image segmentation. However, these methods are sensitive to image intensity distribution changes such as different MRI scanner or protocol. Therefore, a neural network has to be retrained to perform similarly in other datasets. In this paper, we investigated the use of transfer learning strategy to overcome the changes in the data distribution. We reduced…

Automated brain tissue segmentation of magnetic resonance images in multiple sclerosis

Doctoral thesis “Automated brain tissue segmentation of magnetic resonance images in multiple sclerosis”   By Sergi Valverde Supervised by Dr. Arnau Oliver, Dr. Xavier Lladó   Abstract Multiple Sclerosis (MS) is the most common chronic immune-mediated disabling neurological disease affecting the central nervous system, in which the insulating covers of the nerve cells in the spinal chord and brain are damaged. MS is characterized by the presence of lesions in…