Research

Currently I research in Information Technology, inside the interdisciplinary field of Computer Aided Diagnosis, Image-based diagnosis and Statistical and Digital Signal Processing. A provisional title for all this research is Computed Aided Diagnosis for the detection of Neurodegenerative Disorders using Medical Imaging.

During this period I have belonged to the Signal Processing and Biomedical Applications (SiPBA) research group, and I have written or contributed to several publications.

Research projects

LATiDOS

LATent variable models to Determine the Onset of neurodegenerative Symptoms.

F.J. Martinez-Murcia

BrainSimulator

Functional brain image synthesis using the KDE or MVN distribution.

F.J. Martinez-Murcia

Doctoral Thesis

FStatistical Neuroimage Modeling, Processing and Synthesis based on Texture and Component Analysis: Tackling the Small Sample Size Problem..

F.J. Martinez-Murcia

Significance Weighted Principal Component Analysis (SWPCA)

Significance Weighted Principal Component Analysis (SWPCA) is a technique (1) developed to parse out the influence of a categorical variable that introduces variability in a…

F.J. Martinez-Murcia

Spherical Brain Mapping

The Spherical Brain Mapping (SBM) is a feature extraction and visualization framework intended to map the internal structures and features of the brain onto a 2D image that…

F.J. Martinez-Murcia