CV Lattes
ResearcherID
ORCID
Google Scholar Citations
Universidade de São Paulo (USP). Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (FFCLRP) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Carlos E. G. Salmon is currently an Associate Professor of Department of Physics at University of Sao Paulo, since 2008. Graduate at Nuclear Engineering from Instituto Superior de Ciencias y Tecnologias Nucleares (1996) and ph.d. at Physic from Universidade de São Paulo (2005). Has experience in Medical Physics, focusing on Processing of Biological Signals, acting on the following subjects: quantitative MRI, in vivo Magnetic Resonance Spectroscopy, Brain connectivity, Neurovascular coupling, Paramagnetic ions quantification in tissues. (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| More itemsLess items |
| TITULO |
| Articles published in other media outlets ( ): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
Human intelligence is commonly understood as the capability to acquire novel knowledge or abilities, which may be useful in actively solving cognitive problems and in adapting to new situations. This project will develop and apply novel information-theory-based measures of the brain connectivity and state-of-the-art machine learning methods to predict human intelligence from the brain con…
(Only some records are available in English at this moment)
The aging process and progression of certain neurodegenerative diseases, such as Parkinson's and Alzheimer's, have been linked to increased accumulation of metals in the brain, such as iron and copper. While these metals play important metabolic roles, an imbalance in their concentrations can lead to cell death. Quantitative Susceptibility Mapping (QSM) is useful in characterizing the met…
The perception of time is one of the essential components that make up the various characteristics of human perception and can be biased by different characteristics present ineveryday stimuli that cause substantial variations to real (clock) time.With the development of this project, we seek to replicate and expand the approaches adoptedin the study by Sherman et al. (2022) which, in sho…
The mild cognitive impairment (MCI) stage in the elderly is very comprehensive and complex, being also known to be a transitional stage between healthy aging and dementias such as, for example, Alzheimer's disease (AD). In 2011, a set of papers established some criteria for diagnosing what they called "mild cognitive impairment due to Alzheimer's disease". However, the researchers highlig…
(Only some records are available in English at this moment)
Artificial intelligence applications in medical images have grown significantly in recent years, with deep learning (DL) techniques being one of the most used and powerful techniques to identify patterns in this type of image. In the context of Alzheimer's disease (AD), there are two common approaches using DL and Magnetic Resonance Imaging (MRI). The first one is for disease detection pu…
Nowadays, the connectivity between several brain regions is widely recognized and studied. This brain connectivity could be structural or functional depend on the techniques involved and plays crucial roles in determining the functional properties of neuronal systems. The frequency range of these connectivities is around 0.01-0.08 Hz. Magnetic Resonance Spectroscopy (MRS) is a powerful to…
| 1 / 1 | Ongoing grants |
| 6 / 5 | Completed research grants |
| 10 / 9 | Completed scholarships in Brazil |
| 2 / 2 | Completed scholarships abroad |
| 19 / 17 | All research grants and scholarships |
| Associated processes | |