Explainable artificial intelligence (XAI) has gained much interest in recent years for its ability
to explain the complex decision-making process of machine learning (ML) and deep …

The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …

Epileptic seizure (ES) detection is an active research area, that aims at patient-specific ES
detection with high accuracy from electroencephalogram (EEG) signals. The early detection …

The role of machine learning in neuroscience has been increasing through the years, in
aiding diagnosis, biomarker discovery, signal analysis, and other applications. However, the …

Abstract Chronic Kidney Disease (CKD) poses significant health risks, particularly for elderly
and middle-aged individuals, leading to gradual kidney damage and reduced renal function …

Stress is a condition that causes a specific physiologicsal response. Heart rate variability
(HRV) is a critical aspect in identifying stress. It is crucial for those who want to keep track of …

The aftermath of primary cancer treatment presents a multitude of challenges for patients,
necessitating prolonged recovery periods that can span months or even years. Survivors …

Fetal ultrasound imaging is commonly used in correctly identifying fetal anatomical
structures. This is particularly important in the first-trimester to diagnose any possible fetal …

Neural recording, known as local field potentials, offer valuable knowledge on how neural
processes work and contribute to neural circuits. The recording can be contaminated by …

Understanding human emotion is vital to communicate effectively with others, monitor
patients, analyse behaviour, and keep an eye on those who are vulnerable. Emotion …