CYTED

Lineas de investigación:

Infraestructura:

Cambridge CSD3 (UCAM): 1494 nodos con 192 GiB de RAM cada uno. El sistema administrado por la Universidad de Cambridge está bien soportado y optimizado para el procesamiento paralelo de neuroimagen mediante trabajos en Grid Engine/SLURM.
Servidores SiPBA3 (CITIC, UGR): 3 máquinas físicas con 38 nodos y 552 GiB de RAM.
Bio-Signal Lab (DASCI, UGR): Sala con blindaje magnético en DASCI (jaula de Faraday), amplificador EEG actiChamp de 64 electrodos (Brain Products) y sistema fNIRS de 32 optodos (NIRX). Estos últimos son arreglos de sondas libremente configurables y se integran fácilmente con EEG y tDCS dentro de una única NIRx NIRScap.

Publicaciones afines

S Schönecker, FJ Martinez-Murcia, J Denecke, N Franzmeier, A Danek, et al.. Neurology 103 (8), e209569 Frequency and Longitudinal Course of Behavioral and Neuropsychiatric Symptoms in Participants With Genetic Frontotemporal Dementia
S Hansun, A Argha, H Alinejad-Rokny, R Alizadehsani, JM Gorriz, ...IEEE Transactions on Radiation and Plasma Medical Sciences A New Ensemble Transfer Learning Approach With Rejection Mechanism for Tuberculosis Disease Detection

JM Gorriz Saez, S Wang, Y Zhang Journal of Clinical Oncology 42 (16_suppl), e12579-e12579. SE-GAP-ResNet: A machine learning model for abnormal breast detection.
C Jimenez‐Mesa, J Ramirez, Z Yi, C Yan, R Chan, GK Murray, JM Gorriz, Human Brain Mapping 45 (5), e26555, Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis

V Iankova, P Sparber, M Rohani, P Dusek, B Büchner, I Karin, et al. Brain 147 (4), 1389-1398 Phenotype and natural history of mitochondrial membrane protein-associated neurodegeneration
JM Górriz, I Álvarez-Illán, A Álvarez-Marquina, JE Arco, M Atzmueller, et al. Information Fusion 100, 101945 Computational approaches to explainable artificial intelligence: advances in theory, applications and trends
Y Zhang, L Deng, H Zhu, W Wang, Z Ren, Q Zhou, S Lu, S Sun, Z Zhu, ...et al. Information Fusion 98, 101859 Deep learning in food category recognition.