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Universidade Federal de São Carlos (UFSCAR). Centro de Ciências Exatas e de Tecnologia (CCET) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Dr. Ferrari holds the position of Associate Professor in the Department of Computing (DC) at the Federal University of São Carlos (UFSCar). He earned his bachelor's degree (December/1995), master's degree (March/1998), and Ph.D. (March/2002) in Electrical Engineering from the University of São Paulo (USP-São Carlos) with a specialization in Medical Image Processing. From February/1999 to February/2000, he conducted experimental work for his Ph.D. at the University of Calgary, Canada under the supervision of Prof. Dr. Rangaraj M. Rangayyan. Dr. Ferrari completed two post-doctoral fellowships: the first at the Seaman Family MR Research Centre (Calgary, Canada, 2003) and the second at Sunnybrook Hospital (Toronto, Canada, 2007). Before joining UFSCar, he worked as a researcher in Canada for several years. His research interests lie in multidimensional signal processing, statistical modeling, machine learning, computer vision, and pattern recognition. Applications of his work include systems for early diagnosis of degenerative brain diseases and dynamic analysis of cells in intravital microscopy images. (Source: Lattes Curriculum)
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With the increase in people's life expectancy, dementia has become a pressing global public health issue. Among the various types of dementia, Alzheimer's disease (AD) is the most common, accounting for nearly 70% of cases. The World Health Organization estimates that 35.6 million people had dementia in 2010, and this number is projected to double by 2030 (to 65.7 million) and reach 131.5…
With the population aging, dementia has become one of the most relevant global public health problems. Among the different types of dementia, Alzheimer's disease (AD) is the most frequent, accounting for almost 60% of the cases. The World Health Organization estimated the number of people with dementia at 35.6 million in 2010, which is expected to double by 2030 (65.7 million) and again b…
The magnetic resonance imaging (MRI) has become a fundamental tool in diagnosis and study of various diseases and syndromes of the central nervous system (CNS). Besides the systematic visual analysis of MR images, the neuroradiologist often need to measure the volume or analyze changes in the shape of certain brain structures to enable rapid and accurate diagnosis of a disease, or even to…
1) Analysis of atrophies of brain regions: The visiting researcher will participate in the discussion and early development of a computer method based on geometric deformable models and brain atlases for volume measurement and evaluation of atrophy in the corpus callosum and ventricle areas in magnetic ressonance images of patients with Multiple Sclerosis. The method under investigation m…
(Only some records are available in English at this moment)
Alzheimer's Disease (AD) is one of the leading causes of dementia in the elderly, characterized by progressive cognitive decline. Individuals with Mild Cognitive Impairment (MCI) can follow two distinct outcomes: remaining stable (sMCI) or progressing to AD (pMCI). Early prediction of this progression is crucial for more effective therapeutic interventions, enabling disease progression de…
(Only some records are available in English at this moment)
The study of brain structural changes in patients with Stable (sMCI) and Progressive Mild Cognitive Impairment (pMCI) has garnered significant attention from the scientific community, given the global challenge posed by Alzheimer's disease (AD) and other neurodegenerative conditions. Early detection of these diseases, particularly at the MCI stage, is crucial for implementing effective th…
Resumo The in vivo study of cellular and molecular mechanisms underlying leukocyte-endothelium interaction in the microcirculation of various tissues and inflammatory conditions is of great importance for the development of new anti-inflammatory drugs. One commonly used model is Experimental Autoimmune Encephalomyelitis (EAE), which is widely employed in Multiple Sclerosis research. Micro…
(Only some records are available in English at this moment)
Abstract Alzheimer's Disease (AD) is the leading cause of dementia and is marked by progressive neurodegeneration and cognitive decline. In addition to hallmark features such as cortical atrophy and amyloid-beta deposition, white matter lesions (WMLs) have emerged as important imaging biomarkers that reflect a complex interplay between cerebrovascular damage and neurodegenerative mechanis…
| 1 / 1 | Ongoing grants |
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| 8 / 8 | Ongoing scholarships in Brazil |
| 27 / 22 | Completed scholarships in Brazil |
| 1 / 1 | Ongoing scholarships abroad |
| 42 / 37 | All research grants and scholarships |
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