AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Pathology-informed synthetic data improve robustness to severe scoliosis without new annotations or architecture changes in nnU-Net CNN and PRIMUS models under matched compute.
An automatic framework for continuous SA profiling from super-resolved MR volumes is proposed, extending conventional SA assessment to a continuous profile-based description of trochlear morphology without additional imaging, while remaining conceptually linked to current clinical assessment.
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