Research Report on the Enhanced Spatial Fuzzy C-Means Algorithm for Brain Tissue Segmentation Academic Background Magnetic Resonance Imaging (MRI) plays a vital role in neurology, particularly in the precise segmentation of brain tissue. Accurate tissue segmentation is crucial for diagnosing brain injuries and neurodegenerative diseases. Segmenting...

MRIO: A Magnetic Resonance Imaging Acquisition and Analysis Ontology Magnetic Resonance Imaging (MRI) is a biomedical imaging technology used to non-invasively visualize internal structures of tissues in three-dimensional space. MRI is widely used in studying the structure and function of the human brain and is a powerful tool for diagnosing neurol...

Gender Differences in Acute Axonal Pathology Following Experimental Concussion Academic Background Each year, approximately 50 million people worldwide suffer from concussions, also known as mild traumatic brain injuries (TBI). However, for more than 15% of patients, this “mild” brain injury can lead to lasting neurocognitive dysfunction. The exist...

Neurohackademy: Combining Online and Offline Neurological Informatics Education Background Introduction In recent years, human neuroscience has entered an era of big data. Due to initiatives like the Human Connectome Project and the Adolescent Brain Cognitive Development (ABCD) study, scientists have acquired datasets of previously unimaginable sca...

Broadband Achromatic Spatial Differential Imaging with Optical Spin-Orbit Coupling Background Introduction In image processing, traditional spatial differentiation is typically accomplished through digital electronic computation. However, many big data applications require real-time and high-throughput image processing, which poses a tremendous cha...