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Author

H. Bagher-Ebadian

2 papers indexed here

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Open access Aug 2026

A neighborhood attention transformer network for enhanced 3D segmentation of the left anterior descending artery.

BACKGROUND Accurate segmentation of the left anterior descending (LAD) artery in 3D free-breathing, non-contrast CT is critical for cardiac dose sparing in thoracic radiotherapy. The task is inherently difficult because the LAD is extremely small, exhibits poor soft-tissue contrast, and varies substantially across pati...

Rafi Ibn Sultan, Chengyin Li, Yiannos Demetriou et al. · 1 citation
Open access Sep 2026

Cross-fraction prior learning for scalable organ-at-risk segmentation in abdominal MR-guided radiotherapy.

BACKGROUND Manual organ-at-risk (OAR) delineation takes 20-40 min per case, a major bottleneck within the 50-90 min treatment window of abdominal MR-guided adaptive radiotherapy (MRgRT). Most deep learning systems adopt single-fraction approaches that discard valuable temporal context from prior treatment fractions....

Chengyin Li, D. Rusu, Rafi Ibn Sultan et al. · 0 citations

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