Prof. Juan Manuel Górriz Sáez

University of Granada, Spain

Professor

Email: [email protected]

Qualifications

2006 Ph.D., European Thesis by the University of Granada, Spain

2003 Ph.D., European Thesis by the University of Cádiz, Spain

2001 B.Sc., Electronic Engineering. University of Granada, Spain

2000 B.Sc., Physics, University of Granada, Spain

Publications (Selected)

1. Martín-Noguerol, T., López-Úbeda, P., Luna, A., Gómez-Río, M., & Górriz, J. M. (2025). Role of Large Language Models for Suggesting Nerve Involvement in Upper Limbs MRI Reports with Muscle Denervation Signs. Clinical Neuroradiology, 1-10.
2. Wagemann, O., Nübling, G., Martínez‐Murcia, F. J., Wlasich, E., Loosli, S. V., Sandkühler, K., ... & Levin, J. (2025). Exploratory analysis of the proteomic profile in plasma in adults with Down syndrome in the context of Alzheimer's disease. Alzheimer's & Dementia, 21(3), e70040.
3. Qin, F., Shen, Z., Ge, R., Zhang, K., Lin, F., Wang, Y., ... & Wang, C. (2025). InfraFFN: A Feature Fusion Network leveraging dual-path convolution and self-attention for infrared image super-resolution. Knowledge-Based Systems, 310, 112960.
4. Elazab, A., Wang, C., Abdelaziz, M., Zhang, J., Gu, J., Gorriz, J. M., ... & Chang, C. (2024). Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions. Expert Systems with Applications, 255, 124780.
5. Elazab, A., Wang, C., Abdelaziz, M., Zhang, J., Gu, J., Gorriz, J. M., ... & Chang, C. (2024). Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions. Expert Systems with Applications, 255, 124780.
6. Schönecker, S., Martinez-Murcia, F. J., Denecke, J., Franzmeier, N., Danek, A., Wagemann, O., ... & Levin, J. (2024). Frequency and longitudinal course of behavioral and neuropsychiatric symptoms in participants with genetic frontotemporal dementia. Neurology, 103(8), e209569.
7. Martinez-Murcia, F. J., Arco, J. E., Jimenez-Mesa, C., Segovia, F., Illan, I. A., Ramirez, J., & Gorriz, J. M. (2024). Bridging imaging and clinical scores in Parkinson’s progression via multimodal self-supervised deep learning. International Journal of Neural Systems, 34(08), 2450043.
8. Ahmadi Golilarz, H., Azadbar, A., Alizadehsani, R., & Gorriz, J. M. (2024). GAN‐MD: A myocarditis detection using multi‐channel convolutional neural networks and generative adversarial network‐based data augmentation. CAAI Transactions on Intelligence Technology, 9(4), 866-878.
9. Damaševičius, R., Jagatheesaperumal, S. K., Kandala, R. N., Hussain, S., Alizadehsani, R., & Gorriz, J. M. (2024). Deep learning for personalized health monitoring and prediction: A review. Computational Intelligence, 40(3), e12682.
10. Shoeibi, A., Khodatars, M., Alinejad-Rorky, H., Heras, J., Bagherzadeh, S., Beheshti, A., & Gorriz, J. M. (2024, May). Diagnosis of schizophrenia in eeg signals using ddtf effective connectivity and new pretrained cnn and transformer models. In International Work-Conference on the Interplay Between Natural and Artificial Computation (pp. 150-160). Cham: Springer Nature Switzerland.
11. Bdaqli, M., Shoeibi, A., Moridian, P., Sadeghi, D., Pouyani, M. F., Shalbaf, A., & Gorriz, J. M. (2024, May). Diagnosis of Parkinson disease from EEG signals using a CNN-LSTM model and explainable AI. In International work-conference on the interplay between natural and artificial computation (pp. 128-138). Cham: Springer Nature Switzerland.
12. Kasmaee, A. M. M., Ataei, A., Moravvej, S. V., Alizadehsani, R., Gorriz, J. M., Zhang, Y. D., ... & Acharya, U. R. (2024). ELRL-MD: a deep learning approach for myocarditis diagnosis using cardiac magnetic resonance images with ensemble and reinforcement learning integration. Physiological Measurement, 45(5), 055011.
13. Iankova, V., Sparber, P., Rohani, M., Dusek, P., Büchner, B., Karin, I., ... & Klopstock, T. (2024). Phenotype and natural history of mitochondrial membrane protein-associated neurodegeneration. Brain, 147(4), 1389-1398.
14. Roshanzamir, M., Jafari, M., Alizadehsani, R., Roshanzamir, M., Shoeibi, A., Gorriz, J. M., ... & Acharya, U. R. (2024). What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors. Information Systems Frontiers, 1-19.
15. Jafari, M., Sadeghi, D., Shoeibi, A., Alinejad-Rokny, H., Beheshti, A., García, D. L., ... & Gorriz, J. M. (2024). Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023. Applied Intelligence, 54(1), 35-79.

Profile Details

WoS ResearcherID: C-2385-2012

https://orcid.org/0000-0001-7069-1714

https://www.ugr.es/~gorriz/

https://scholar.google.com/citations?user=mUYxjZoAAAAJ&hl=es

https://www.researchgate.net/profile/Juan-Gorriz