Inici

Benvinguts al Repositori Digital de la UPF

El repositori institucional recull, difon i preserva la producció intel·lectual en format digital que resulta de l’activitat acadèmica i investigadora de la UPF, les revistes científiques i les publicacions institucionals. La seva finalitat és contribuir a augmentar l’impacte de la investigació feta a la UPF i preservar la memòria intel·lectual de la UPF.

Comunitats

Seleccioneu una comunitat per explorar-ne les col·leccions.

Enviaments recents

Signalling mechanisms involved in memory function : focus on the effects of Δ9-tetrahydrocannabinol

Galera López, Lorena, 1993- (2021-10-27)

Memory is a physiological brain function crucial for adaptive behaviour of individuals. Memory alterations are described as impairments in the processes by which memory is perceived, encoded, consolidated, retrieved, or ...
An ECG and echocardiography-based characterization of hypertrophic cardiomyopathy using machine learning

Leal Bajo, Carla (2023-09-22)

Hypertrophic cardiomyopathy (HCM) is a condition characterized by an abnormal thickening of the myocardium resulting in impaired blood pumping efficiency of the heart. HCM exhibits clinical variability, with diverse ...
On the basis of impaired functional connectivity in psychosis: the role of structural substrate and neurometabolites contribution

González Aranceta, Nerea (2023-09-22)

Psychotic disorders are characterized by the presence of symptoms related to a distortion of one’s perception of reality. In its early stages (First Episode of Psychosis, FEP), patients may show diffuse symptomatology ...
The use of whole-brain models and variational autoencoders for the low-dimensional representation of psychosis and its perturbational landscape

Garcés de Marcilla Lappin, Iraïs (2023-09-22)

Psychosis can be described as an alteration in brain connectivity that leads to an impairment of cognition and the speed at which the information gets processed, what causes a diversity of psychiatric symptoms. This ...
Automatic segmentation of intramedullary multiple sclerosis lesions delimited in DIR sequences with convolutional neural networks

Gambús i Moreno, Paula (2023-09-22)

Multiple sclerosis (MS) is a neurodegenerative disease affecting the central nervous system (CNS), characterized by the destruction of myelin sheaths, that has become the leading cause of disability in young adults. Since ...