Wang Y - Search Results

1

Robustness analysis of CTV and OAR dose in clinical PBS-PT of neuro-oncological tumors: prescription-dose calibration and inter-patient variation with the Dutch proton robustness evaluation protocol.

Rojo-Santiago J, Habraken SJM, Romero AM, Lathouwers D, Wang Y, Perkó Z, Hoogeman MS. Rojo-Santiago J, et al. Among authors: wang y. Phys Med Biol. 2023 Aug 23;68(17). doi: 10.1088/1361-6560/acead1. Phys Med Biol. 2023. PMID: 37494944

2

An individualized strategy to estimate the effect of deformable registration uncertainty on accumulated dose in the upper abdomen.

Wang Y, Petit SF, Osorio EV, Gupta V, Méndez Romero A, Heijmen B. Wang Y, et al. Phys Med Biol. 2018 Jun 11;63(12):125005. doi: 10.1088/1361-6560/aac5c2. Phys Med Biol. 2018. PMID: 29771683

3

Fast and robust adaptation of organs-at-risk delineations from planning scans to match daily anatomy in pre-treatment scans for online-adaptive radiotherapy of abdominal tumors.

Gupta V, Wang Y, Méndez Romero A, Myronenko A, Jordan P, Maurer C, Heijmen B, Hoogeman M. Gupta V, et al. Among authors: wang y. Radiother Oncol. 2018 May;127(2):332-338. doi: 10.1016/j.radonc.2018.02.014. Epub 2018 Mar 8. Radiother Oncol. 2018. PMID: 29526492 Free article.

4

Evaluation of plan quality assurance models for prostate cancer patients based on fully automatically generated Pareto-optimal treatment plans.

Wang Y, Breedveld S, Heijmen B, Petit SF. Wang Y, et al. Phys Med Biol. 2016 Jun 7;61(11):4268-82. doi: 10.1088/0031-9155/61/11/4268. Epub 2016 May 20. Phys Med Biol. 2016. PMID: 27203748

5

Knowledge-based dose prediction models for head and neck cancer are strongly affected by interorgan dependency and dataset inconsistency.

Wang Y, Heijmen BJM, Petit SF. Wang Y, et al. Med Phys. 2019 Feb;46(2):934-943. doi: 10.1002/mp.13316. Epub 2018 Dec 24. Med Phys. 2019. PMID: 30506855

6

Pareto-optimal plans as ground truth for validation of a commercial system for knowledge-based DVH-prediction.

Cagni E, Botti A, Wang Y, Iori M, Petit SF, Heijmen BJM. Cagni E, et al. Among authors: wang y. Phys Med. 2018 Nov;55:98-106. doi: 10.1016/j.ejmp.2018.11.002. Epub 2018 Nov 10. Phys Med. 2018. PMID: 30471826

7

Predicting patient specific Pareto fronts from patient anatomy only.

van der Bijl E, Wang Y, Janssen T, Petit S. van der Bijl E, et al. Among authors: wang y. Radiother Oncol. 2020 Sep;150:46-50. doi: 10.1016/j.radonc.2020.05.050. Epub 2020 Jun 8. Radiother Oncol. 2020. PMID: 32526316

8

Independent knowledge-based treatment planning QA to audit Pinnacle autoplanning.

Janssen TM, Kusters M, Wang Y, Wortel G, Monshouwer R, Damen E, Petit SF. Janssen TM, et al. Among authors: wang y. Radiother Oncol. 2019 Apr;133:198-204. doi: 10.1016/j.radonc.2018.10.035. Epub 2018 Nov 15. Radiother Oncol. 2019. PMID: 30448001

9

A quality control model that uses PTV-rectal distances to predict the lowest achievable rectum dose, improves IMRT planning for patients with prostate cancer.

Wang Y, Zolnay A, Incrocci L, Joosten H, McNutt T, Heijmen B, Petit S. Wang Y, et al. Radiother Oncol. 2013 Jun;107(3):352-7. doi: 10.1016/j.radonc.2013.05.032. Epub 2013 Jul 3. Radiother Oncol. 2013. PMID: 23830193

10

Prospective clinical validation of independent DVH prediction for plan QA in automatic treatment planning for prostate cancer patients.

Wang Y, Heijmen BJM, Petit SF. Wang Y, et al. Radiother Oncol. 2017 Dec;125(3):500-506. doi: 10.1016/j.radonc.2017.09.021. Epub 2017 Oct 20. Radiother Oncol. 2017. PMID: 29061497

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