Author

Elif Keleş

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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. · Cancers · 0 citations

#artificial intelligence Preprint Sep 2026

Unified CT and MRI Pancreas Segmentation for Label-Efficient Cross-Modality Subregion Transfer

A unified 3D pancreas segmentation framework that applies domain-adversarial learning to 4,604 heterogeneous CT and MRI scans to learn anatomical representations is developed and demonstrated that a unified anatomical representation can support both cross-modality pancreas segmentation and label-efficient downstream tr...

Zi-Liang Hong, Hong-Yi Pan, H. Aktas et al. · 0 citations

#artificial intelligence Preprint Sep 2026

GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation

The results show strong performance on colonoscopy images and competitive performance on prostate MRI, supporting gaze-guided prototype refinement as a promising approach for segmentation-label-efficient, human-in-the-loop medical image segmentation.

M. Benyahia, Marouane Tliba, M. A. Kerkouri et al. · 0 citations