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@article{chaudhuri2023predictive,
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	journal={Frontiers in Artificial Intelligence},
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@article{chang2025exploration,
	title={Exploration of an adaptive proton therapy strategy using CBCT with the concept of digital twins},
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@article{bjornsson2019digital,
	title={Digital twins to personalize medicine},
	author={Bj{\"o}rnsson, Bergthor and Borrebaeck, Carl and Elander, Nils and Gasslander, Thomas and Gawel, Danuta R and Gustafsson, Mika and J{\"o}rnsten, Rebecka and Lee, Eun Jung and Li, Xinxiu and Lilja, Sandra and others},
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@article{hormuth2021math,
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@article{katsoulakis2024digital,
	title={Digital twins for health: a scoping review},
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@article{sadee2025medical,
	title={Medical digital twins: enabling precision medicine and medical artificial intelligence},
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	journal={The Lancet Digital Health},
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@article{chang2022validation,
	title={Validation of a deep learning-based material estimation model for Monte Carlo dose calculation in proton therapy},
	author={Chang, Chih-Wei and Zhou, Shuang and Gao, Yuan and Lin, Liyong and Liu, Tian and Bradley, Jeffrey D and Zhang, Tiezhi and Zhou, Jun and Yang, Xiaofeng},
	journal={Physics in Medicine \& Biology},
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@article{chang2023multimodal,
	title={Multimodal imaging-based material mass density estimation for proton therapy using supervised deep learning},
	author={Chang, Chih-Wei and Marants, Raanan and Gao, Yuan and Goette, Matthew and Scholey, Jessica E and Bradley, Jeffrey D and Liu, Tian and Zhou, Jun and Sudhyadhom, Atchar and Yang, Xiaofeng},
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@article{bobic2021comparison,
	title={Comparison of weekly and daily online adaptation for head and neck intensity-modulated proton therapy},
	author={Bobi{\'c}, Mislav and Lalonde, Arthur and Sharp, Gregory C and Grassberger, Clemens and Verburg, Joost M and Winey, Brian A and Lomax, Antony J and Paganetti, Harald},
	journal={Physics in Medicine \& Biology},
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	year={2021},
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@article{paganetti2021adaptive,
	title={Adaptive proton therapy},
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	number={22},
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	year={2021},
	publisher={IOP Publishing}
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@article{chen2020generating,
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@article{hemon2023contour,
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@inproceedings{liu2022voxelmorphpp,
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@inproceedings{balakrishnan2018unsupervised,
	title={An unsupervised learning model for deformable medical image registration},
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@article{fu2020deep,
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@inproceedings{krishna2021convolution,
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@article{rusanov2022deep,
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@article{sumini2024digital,
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@article{zhao2025current,
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@article{abdollahi2024theranostic,
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@article{chang2023optimized,
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}







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