Many methods have been proposed for tissue segmentation in brain MRI scans. The
multitude of methods proposed complicates the choice of one method above others. We …

This paper introduces a novel computer-aided diagnosis (CAD) system for the diagnosis of
autism from magnetic resonance (MR) brain images of children. The proposed framework …

This paper introduces a new framework for the segmentation of different brain structures
from 3D infant MR brain images. The proposed segmentation framework is based on a …

The accelerating rise of the amount of daily produced medical image data and the high costs
of human expert training are strongly motivating the efforts dedicated to the development of …

Autism is a complex developmental disability that has dramatically increased in prevalence,
having a decisive impact on the health and behavior of children. Methods used to detect and …

The advancements in neuroimaging techniques, predominantly magnetic resonance
imaging (MRI) and computed tomography (CT) scans, have undeniably reformed the clinical …

The segmentation of brain tissues based on MRI data represents a widely investigated
problem in medical image analysis. Infant brain tissues in the so-called isointense phase of …

The automatic segmentation of medical images is an intensely investigated problem, due to
the quick rise of medical image data amount created day by day, which cannot be followed …

I would also like to thank Mr. Andrew Switala with whom I enjoyed very fruitful and
stimulating research collaborations. Our discussions were always a great pleasure, and led …

Abstract Machine learning (ML) and deep learning (DL) approaches have been used as
indispensable tools in modern artificial intelligence-based computer-aided diagnostic …