Montserrat Robles

TL;DR: An automated postprocess based on a statistical approach supported by tissue probability maps is proposed to automatically identify the tumour classes after the segmentations to confirm the method as a viable alternative for brain tumour segmentation.

TL;DR: The HealthAgents system is implementing novel pattern recognition discrimination methods, in order to analyze in vivo Magnetic Resonance Spectroscopy and ex vivo/in vitro High Resolution Magic Angle Spinning Nuclear Magnetic resonance data and DNA micro-array data.

TL;DR: LinkEHR-Ed, a visual archetype editor based on the former formalization with advanced processing capabilities that supports multiple reference models, the editing and semantic validation of archetypes, the specification of mappings to data sources, and the automatic generation of data transformation scripts, is developed.

TL;DR: In this paper, an adaptive multiresolution version of the blockwise non-local (NL)-means filter is presented for three-dimensional (3D) magnetic resonance (MR) images.

TL;DR: This paper presents a new approach to perform ICV extraction based on the use of a library of prelabeled brain images to capture the large variability of brain shapes and demonstrates an improved performance both in terms of accuracy and reproducibility while maintaining a reduced computational burden.