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A systematic guide from physical imaging principles, reconstruction algorithms to deep learning post-processing
No medical or imaging background required, starting from CT/MRI basics
Deep dive into physical mechanisms and mathematical models, beyond API calls
Covers the complete pipeline from raw data → reconstruction → AI post-processing
Continuously updated content, contributions and discussions welcome