Author

Chih-Wei Chang

3 papers indexed here

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Preprint Aug 2026

MRI super-resolution in ten sampling steps using a diffusion bridge model

Objective. MRI provides excellent soft-tissue contrast, but long acquisition times can cause patient discomfort and lead to motion artifacts, forcing a trade-off between spatial resolution and scan time. Diffusion-based super-resolution (SR) reconstructs high-resolution (HR) images from low-resolution (LR) inputs, but...

M. Safari, Han Yu, Zach Eidex et al. · 0 citations

#artificial intelligence Preprint Sep 2026

An Uncertainty-Guided Digital Twin Framework for Online Adaptive Proton Therapy in Head and Neck Cancer: A Feasibility Study

Objective: Head and neck (HN) proton therapy spans six to seven weeks of anatomical change, while offline replanning takes about a week. We present an uncertainty-guided digital twin (UGDT) framework that forecasts treatment-day anatomy before treatment and evaluate whether it generates online adaptive proton therapy (...

Yi-Zhou Wu, R. Sanford, Hui-Qiao Xie et al. · 0 citations

#artificial intelligence Sep 2026

A digital-twin framework for forecasting treatment-day imaging with contour uncertainty in adaptive proton radiotherapy.

A digital-twin framework is presented that forecasts a patient's treatment-day anatomy as an ensemble of predicted CTs with propagated contours and quantifies the uncertainty of the forecast contours.

Yi-Zhou Wu, Jie Ding, Justin Roper et al. · arXiv.org · 1 citation