In this paper we present the findings of a systematic literature review covering the articles
published in the last two decades in which the authors described the application of a …

Research on decision support applications in healthcare, such as those related to diagnosis,
prediction, treatment planning, etc., has seen strongly growing interest in recent years. This …

Segmentation of abdominal organs has been a comprehensive, yet unresolved, research
field for many years. In the last decade, intensive developments in deep learning (DL) …

Background The current diagnosis of Alzheimer's disease (AD) is based on a series of
analyses which involve clinical, instrumental and laboratory findings. However, signs …

There is considerable discussion about the advantages and disadvantages of early ASD
diagnosis. However, the development of easily understandable and administrable tools for …

Many patients with multiple sclerosis (MS) experience information processing speed (IPS)
deficits, and the Symbol Digit Modalities Test (SDMT) has been recommended as a valid …

Schizophrenia is among the most debilitating neuropsychiatric disorders. However, clear
neurophysiological markers that would identify at-risk individuals represent still an unknown …

The ability to image the whole brain through ever more subtle and specific
methods/contrasts has come to play a key role in understanding the basis of brain …

The cerebral cortex manifests an inherent structural complexity of folding. The fractal
geometry describes the complexity of structures which show self-similarity in a proper …

High-dimensional data with very few instances are typical in many application domains.
Selecting a highly discriminative subset of the original features is often the main interest of …