Attention: it is also necessary to register at https://tinyurl.com/edsan2022 in addition to signing up for the course. The "Examples of Data Science Applications in Neuroimaging" (EDSAN) course i The main goal of this course is to give the student a solid introduction into approaches, methods, and
instrumentation used in biomedical research. A major focus is on Magnetic Resonance Imaging (MRI)
Magnetic resonance imaging (MRI) and spectroscopy (MRS) will be addressed in detail, along with experimental design, data gathering and processing on MRS, structural and functional MRI in humans and r
Magnetic resonance imaging (MRI) and spectroscopy (MRS) will be addressed in detail, along with experimental design, data gathering and processing on MRS, structural and functional MRI in humans and r
The main goal of this course is to give the student a solid introduction into approaches, methods, and tools for brain network analysis. The student will learn about principles of network science and
Understanding, processing, and analysis of signals and images obtained from the central and peripheral nervous system
This optional course provides students who consider a specialization in Neuroengineering during their Master with a very broad overview of the many practical applications in the field. It should ensur
