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S. S. Taflan

2 papers indexed here

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Open access Sep 2026

Multicenter Validation of Foundation Model Adaptation for Automated Pancreatic Tumor Delineation on CT Scans

Simple Summary Pancreatic cancer is one of the deadliest cancers, and accurate tumor delineation on contrast-enhanced computed tomography (CECT) is essential for staging, treatment planning, and response assessment. Manual tumor segmentation is time-consuming and subject to reader variability. Recently, foundation mode...

H. Aktas, Eminenur Sen Tasci, L. Peng et al. · 0 citations
Review Open access Sep 2026

From signal to reasoning: Computational bottlenecks in the evolution of artificial intelligence in radiology.

Artificial intelligence (AI) in radiology is often described as a sequence of architectures. This conceptual narrative review instead organizes its evolution around two questions: Which computational constraint was relaxed, and where did the resulting capability enter the radiologic chain from signal formation to recom...

S. M. Erturk, S. S. Taflan · 0 citations

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