Fernando García Gutiérrez

Passionate researcher with a deep focus on applying Artificial Intelligence (AI) to the field of Neurology, particularly in understanding and diagnosing neurodegenerative diseases. As a PhD candidate in Computer Science, I’ve dedicated my work to exploring innovative approaches in neuroimaging and speech processing, using AI to explore new insights into cognitive impairment. I’ve contributed to numerous high-impact publications and participated in international projects, always driven by a desire to push the boundaries of medical research.

news

Aug 15, 2024	Publication “Predicting changes in brain metabolism and progression from mild cognitive impairment to dementia using multitask Deep Learning models and explainable AI” Neuroimage.
Feb 02, 2024	Publication “Unveiling the sound of the cognitive status: Machine Learning-based speech analysis in the Alzheimer’s disease spectrum” Alzheimer’s Research & Therapy.
Oct 07, 2023	Publication “Harnessing acoustic speech parameters to decipher amyloid status in individuals with mild cognitive impairment.” Frontiers in Neuroscience.

selected publications

Neuroimaging

Predicting changes in brain metabolism and progression from mild cognitive impairment to dementia using multitask Deep Learning models and explainable AI

Fernando Garcı́a-Gutiérrez, Laura Hernández-Lorenzo, Marı́a Nieves Cabrera-Martı́n, and 4 more authors

NeuroImage, 2024

Bib

@article{garcia2024predicting,
  title = {Predicting changes in brain metabolism and progression from mild cognitive impairment to dementia using multitask Deep Learning models and explainable AI},
  author = {Garc{\'\i}a-Guti{\'e}rrez, Fernando and Hern{\'a}ndez-Lorenzo, Laura and Cabrera-Mart{\'\i}n, Mar{\'\i}a Nieves and Matias-Guiu, Jordi A and Ayala, Jos{\'e} L and Initiative, Alzheimer’s Disease Neuroimaging and others},
  journal = {NeuroImage},
  volume = {297},
  pages = {120695},
  year = {2024},
  publisher = {Elsevier},
}

Speech

Unveiling the sound of the cognitive status: Machine Learning-based speech analysis in the Alzheimer’s disease spectrum

Fernando Garcı́a-Gutiérrez, Montserrat Alegret, Marta Marquié, and 8 more authors

Alzheimer’s Research & Therapy, 2024

Bib

@article{garcia2024unveiling,
  title = {Unveiling the sound of the cognitive status: Machine Learning-based speech analysis in the Alzheimer’s disease spectrum},
  author = {Garc{\'\i}a-Guti{\'e}rrez, Fernando and Alegret, Montserrat and Marqui{\'e}, Marta and Mu{\~n}oz, Nathalia and Ortega, Gemma and Cano, Amanda and De Rojas, Itziar and Garc{\'\i}a-Gonz{\'a}lez, Pablo and Oliv{\'e}, Cl{\`a}udia and Puerta, Raquel and others},
  journal = {Alzheimer's Research \& Therapy},
  volume = {16},
  number = {1},
  pages = {26},
  year = {2024},
  publisher = {Springer},
}