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Rank #123 · 8 unique linked submissions.
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We aim to develop and evaluate a template for Ethos v1.1 online adaptive planning using the intelligent optimization engine (IOE) for hypo-fractionated ultra-central lung IMRT (60Gy in 8 fractions). The template includes a dose-boosting planning volume to hel...
To evaluate and optimize segmentation pipeline configurations for head-and-neck organ segmentation to improve accuracy, robustness, and clinical applicability.
To generalize decentralized mutual learning to multi-class 3D organ-at-risk (OAR) segmentation and evaluate whether gossip-based peer-to-peer training improves federated radiotherapy auto-segmentation across heterogeneous clinical sites.
Online adaptive lung radiotherapy has not been widely reported due to challenges in respiratory motion. This study evaluates the clinical performance of HyperSight slow-scan CBCT for target delineation, dose calculation accuracy, and dosimetric benefit in onl...
Weisskoff analysis assesses temporal stability of echo-planar imaging (EPI) in functional MRI (fMRI) by comparing how the temporal coefficient of variation (CoV) scales with ROI size relative to uncorrelated noise (e.g. ideal scaling) to assess unwanted inter...
Weekly or triggered online adaptive radiotherapy has not been widely adopted in clinical practice because of the time and resource demands. Although the Ethos platform enables CBCT-based online adaptive radiotherapy, daily adaptation may be unnecessary for tr...
To evaluate the robustness and generalizability of Det2Prompt, a foundation-model driven framework for partially-label medical image segmentation, under various annotation conditions.
Diagnostic and Interventional Radiology Physics