Ricardo José Ferrari

• Abstract

  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…

  Development of feature engineering and deep learning techniques applied to the classification of magnetic resonance images in healthy cognitive aging, mild cognitive impairment and Alzheimer's Disease, AP.R

• Abstract

  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…

  Automatic segmentation of magnetic resonance images of the human brain via deformable models guided by probabilistic atlas of 3D salient points, AP.R

• Abstract

  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…

  Study and development of a computational method for the measurement of the volume of brain structures based on deformable geometric models and anatomy atlases, AV.EXT

(Only some records are available in English at this moment)

• Abstract

  Multiple sclerosis (MS) is a multifactorial inflammatory disease that affects the central nervous system (CNS) and mainly affects a young adult population. MS is considered an autoimmune disease because, for some unknown reason, the immune system attacks the myelin sheath that covers neurons, compromising CNS functions. Magnetic resonance imaging (MRI) has been used very successfully in t…

  Segmentation of multiple sclerosis lesions in magnetic resonance images via texture analysis guided by a map of hyperintensities, BP.IC

• Abstract

  Multiple Sclerosis (MS) is acronical inflammatory disease, possibly autoimmune, that impairs the Central Nervous System (CNS) and mainly affects the young adult population. Due to genetic or environmental factors, in a MS case, the immune system attacks neuron's myelin sheath, thus compromising CNS' function. Magnetic Resonance Imaging (MRI) has been clinically used with great success for…

  Development of stopping criterion and cluster number selection strategies for an iterative student's t mixture model used for segmentation of multiple sclerosis lesions in magnetic resonance images, BP.IC

• Abstract

  Alzheimer's disease (AD) is the most common form of dementia, accounting for about 60 to 80% of all cases and affecting mainly individuals over age 65. In Brazil, about one million people have already been affected by AD. Although there is no cure for AD at the moment, the early diagnosis of this disease allows the patient to undergo treatments that delay or even revert cognitive loss. It…

  Applying stacked sparse autoencoders and artificial neural networks for the prediction of biological age of the brain using images from magnetic resonance imaging, BP.IC

(Only some records are available in English at this moment)