Abstract: The human brain serves as the principal controller of the humanoid system. Brain tumors are the result of abnormal cell division and proliferation, and the development of these tumors can ...

aDepartment of Endocrinology and Metabolism, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, ...

Magnetic Resonance Imaging (MRI) remains a cornerstone in the diagnosis and management of brain tumors due to its superior soft tissue contrast and non-invasive nature. However, traditional diagnostic ...

Spontaneous aneurysmal subarachnoid hemorrhage induces early blood-brain barrier permeability dysfunction, although its clinical relevance and underlying mechanisms remain poorly understood. We aimed ...

Brain disorders pose significant challenges for precise treatment due to the brain’s inherent heterogeneity. Here, we introduce a nanobubble (NB)-actuated focused ultrasound (FUS) strategy for highly ...

Welcome to the BE 645: Artificial Intelligence (AI) and Radiomics course. Artificial intelligence is essentially a collection of advanced computational algorithms designed to identify patterns in ...

Abstract: An unusual mass of tissue in which some cells multiplies and grows uncontrollably is called brain tumor. It starts growing inside the skull and interpose with the regular functioning of the ...

Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht and Utrecht University, Utrecht3584 CX, The Netherlands ...

Stroke infarct volume predicts patient disability and has utility for clinical trial outcomes. Accurate infarct volume measurement requires manual segmentation of stroke boundaries in ...

In this paper, we propose a minimum spanning tree-based method for segmenting brain tumors. The proposed method performs interactive segmentation based on the minimum spanning tree without tuning ...