alxndrkalinin/awesome-deepneuroimage
A curated list of awesome deep learning applications in the field of neurological image analysis
This resource provides a curated collection of research papers focused on applying deep learning techniques to analyze neurological images. It compiles studies that take raw brain imaging data (like MRI or PET scans) and use advanced computational methods to extract meaningful insights, such as identifying specific brain structures, segmenting lesions, or diagnosing neurological conditions. This is for neuroscientists, clinical researchers, and medical imaging specialists interested in the latest advancements in automated neurological image analysis.
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Use this if you are a researcher or clinician looking for published deep learning methods to analyze brain scans for diagnosis, segmentation, or disease progression.
Not ideal if you are looking for ready-to-use software or code implementations, as this is primarily a list of academic papers.
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Apr 30, 2018
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