Alzheimer's disease (AD) is a chronic neurodegenerative disorder with a global impact. The
past few decades have witnessed significant strides in comprehending the underlying …

Deep brain stimulation (DBS) of Subthalamic nucleus (STN), using a permanent electrode
has emerged as an effective treatment for Parkinson's disease patients. However, accurately …

The integration of technology and healthcare, particularly through artificial intelligence and
deep learning, is revolutionizing precision medicine. Advances in medical imaging using …

Recent strides in artificial intelligence (AI) and deep learning techniques have propelled the
development of an AI-powered brain tumour detection model. This study blends multilevel …

Purpose MRI-derived brain volume loss (BVL) is widely used as neurodegeneration marker.
SIENA is state-of-the-art for BVL measurement, but limited by long computation time. Here …

Parkinson's disease (PD) is a prevalent neurodegenerative disorder characterized by motor
symptoms such as tremors, rigidity, and bradykinesia, affecting approximately 6.1 million …

The objective of this study is to create an automated method for detecting pathological
conditions in the brain, which can aid radiologists in accurately identifying brain diseases …

Neurodevelopmental disorders encompass a diverse set of conditions marked by
disturbances in brain function and development. These disorders, such as Attention …

This dissertation aims to advance the efficacy of Long-Duration Space Flight (LDSF) pre-
flight and in-flight training programs, acknowledging existing knowledge gaps in NASA's …