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.

NA-UNETR effectively balances local precision and global context, enabling accurate segmentation of thin, low-contrast LAD structures and demonstrates a robust and computationally efficient framework for substructure-level cardiac segmentation in radiotherapy planning.

Rafi Ibn Sultan, Chengyin Li, Yiannos Demetriou et al. · Medical Physics (Lancaster) · 1 citation

Open access Sep 2026

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

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. · Medical Physics (Lancaster) · 0 citations