GPCN is a new dual-domain network that achieves robust CT-free PET attenuation and scatter correction for pediatric patients across multiple scanners and radiotracers.
The clinician and dataset shift in artificial intelligence
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Agentic AI systems are required to overcome the parameter coverage ceiling that prevents foundation models from handling certain out-of-distribution cases.
citing papers explorer
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Generalizable CT-Free PET Attenuation and Scatter Correction for Pediatric Patients
GPCN is a new dual-domain network that achieves robust CT-free PET attenuation and scatter correction for pediatric patients across multiple scanners and radiotracers.
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Agentic AIs Are the Missing Paradigm for Out-of-Distribution Generalization in Foundation Models
Agentic AI systems are required to overcome the parameter coverage ceiling that prevents foundation models from handling certain out-of-distribution cases.