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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

S. Ahn

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3 papers indexed here

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Nov 2026

Reliability-weighted patch learning for synthetic CT reconstruction in head and neck adaptive radiotherapy: A proof-of-concept study.

BACKGROUND Cone-beam computed tomography (CBCT) is essential for adaptive radiotherapy (ART) but is limited by poor image quality. Existing deep learning methods for synthetic CT (sCT) generation face a critical trade-off: diffusion models offer high fidelity but are impractically slow, while fast-inference networks of...

Jeong Heon Kim, S. Olberg, B. Choi et al. · 0 citations
Open access Sep 2026

Deep Learning for Schatzker Classification on Anteroposterior Radiographs: A Controlled Benchmark and a Transferable Control Protocol

Background/Objectives: Schatzker type is assigned early, usually from the anteroposterior (AP) radiograph. A single benchmark accuracy cannot say whether a model read the fracture, the anatomy around it, the annotation, or how the archive was assembled. We ran four inexpensive controls to separate those contributions....

Sang Hyun Na, S. Ahn · 0 citations
Open access Oct 2026

Human Skin Permeability Prediction by Machine Learning for Transdermal Drug Delivery

Lipophilicity shows a saturating relationship with skin permeability that a linear equation cannot represent, and interpolation within the sampled chemical space does not imply generalisation to a new therapeutic class.

Seunghwan Oh, S. Ahn · 0 citations

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