With an increase in deep learning-based methods, the call for explainability of such methods
grows, especially in high-stakes decision making areas such as medical image analysis …

Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …

Epilepsy is a disorder of the brain denoted by frequent seizures. The symptoms of seizure
include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand …

Artificial intelligence methods are widely applied to depression recognition and provide an
objective solution. Many effective automated methods for detecting depression use facial …

Deep learning (DL) methods have been increasingly applied to neuroimaging data to
identify patients with psychiatric and neurological disorders. This review provides an …

Abstract Machine learning is playing an increasingly important role in medical image
analysis, spawning new advances in the clinical application of neuroimaging. There have …

Advances in artificial intelligence (AI), especially deep learning (DL), have facilitated
magnetic resonance imaging (MRI) data analysis, enabling AI-assisted medical image …

By promising more accurate diagnostics and individual treatment recommendations, deep
neural networks and in particular convolutional neural networks have advanced to a …

Machine learning and computer vision methods are showing good performance in medical
imagery analysis. Yet only a few applications are now in clinical use and one of the reasons …

Abstract Major Depression Disorder (MDD) is a common mental disorder that negatively
affects many people's lives worldwide. Developing an automated method to find useful …