Germán Mato
Áreas de investigación, desarrollo y/o tecnología
- Neurociencia Computacional, Inteligencia Artificial, Imagénes Médicas
Publicaciones y/o Actividades Tecnológicas
- A novel Deep Learning based method for Myocardial Strain Quantification. Bernardo, A., Mato, G., Calandrelli, M., Medus, J.M. and Curiale, A.H., 2024. Biomedical Physics & Engineering Express. DOI 10.1088/2057- 1976/ad947b (2024).
- Model-based deep learning framework for accelerated optical projection tomography. M. Obando, A. Bassi, N. Ducros, G. Mato, and T. M. Correia. Scientific Reports 13:21735 (2023).
- CardIAc: An Open Source Application for Myocardial Strain Analysis. A. H. Curiale, A. Bernardo, R. Cárdenas, G. Mato. International Journal of Computer Assisted Radiology and Surgery, 16 1-15 (2020).
- Emergent Orientation Selectivity from Random Networks in Mouse Visual Cortex. J. Pattdakal, G. Mato, C. van Vreeswijk, N. Priebe and D. Hansel. Cell Reports 24, 2042-2050 (2018).
- Short term plasticity explains irregular persistent activity in working memory tasks, D. Hansel and G. Mato. Journal of Neuroscience 33, 133-149 (2013).