Multimodal medical image fusion consists in combining two or more images of the same or
different modalities aiming to improve the image content, and preserve information. The …

In recent years, exploration of the develo** brain has become a major focus for
researchers and clinicians in an attempt to understand what allows children to acquire …

Modern medical clinics support medical examinations with computer systems which use
Computational Intelligence on the way to detect potential health problems in more efficient …

Abstract Machine learning and deep learning are two subsets of artificial intelligence that
involve teaching computers to learn and make decisions from any sort of data. Most recent …

Advances in artificial intelligence have cultivated a strong interest in develo** and
validating the clinical utilities of computer-aided diagnostic models. Machine learning for …

Alzheimer's disease, a primary neurodegenerative condition, predominantly impacts the
elderly and pre-elderly population. This progressive neurological disorder is characterized …

Brain extraction, or skull-strip**, is an essential data preprocessing step for machine
learning approaches to brain MRI analysis. Currently, there are limited extraction algorithms …

Deep learning is widely used for lesion segmentation in medical images due to its
breakthrough performance. Loss functions are critical in a deep learning pipeline, and they …

Abstract The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective
longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and …

Autism spectrum disorder (ASD) emerges during early childhood and is marked by a
relatively narrow window in which infants transition from exhibiting normative behavioral …