Sunan Cui
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Explore the profile of Sunan Cui including associated specialties, affiliations and a list of published articles.
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18
Citations
242
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Recent Articles
1.
Saini J, Erickson D, Stappen F, Ruth M, Cui S, Gorman V, et al.
Front Oncol
. 2024 Dec;
14:1460288.
PMID: 39678495
Background: This manuscript describes modifications to a pencil beam scanning (PBS) proton gantry that enables ultra-high dose rates (UHDR) irradiation, including treatment planning and validation. Methods: Beamline modifications consisted of...
2.
Lau B, Wu Y, Cui S, Fu J, Jackson S, Pham D, et al.
Radiother Oncol
. 2024 Apr;
196:110317.
PMID: 38679202
Background And Purpose: Concerns over chest wall toxicity has led to debates on treating tumors adjacent to the chest wall with single-fraction stereotactic ablative radiotherapy (SABR). We performed a secondary...
3.
Shi M, Cui S, Chuang C, Oderinde O, Kovalchuk N, Surucu M, et al.
Phys Med
. 2024 Feb;
119:103318.
PMID: 38382210
Purpose: This study explores the feasibility of employing Generative Adversarial Networks (GANs) to model the RefleXion X1 Linac. The aim is to investigate the accuracy of dose simulation and assess...
4.
Wei L, Niraula D, Gates E, Fu J, Luo Y, Nyflot M, et al.
Br J Radiol
. 2023 Sep;
96(1150):20230211.
PMID: 37660402
Multiomics data including imaging radiomics and various types of molecular biomarkers have been increasingly investigated for better diagnosis and therapy in the era of precision oncology. Artificial intelligence (AI) including...
5.
Cui S, Traverso A, Niraula D, Zou J, Luo Y, Owen D, et al.
Br J Radiol
. 2023 Jul;
96(1150):20230142.
PMID: 37493248
Artificial intelligence has been introduced to clinical practice, especially radiology and radiation oncology, from image segmentation, diagnosis, treatment planning and prognosis. It is not only crucial to have an accurate...
6.
Li B, Zheng X, Zhang J, Lam S, Guo W, Wang Y, et al.
Cancers (Basel)
. 2022 Oct;
14(19).
PMID: 36230812
Purpose: To evaluate the effectiveness of features obtained from our proposed incremental-dose-interval-based lung subregion segmentation (IDLSS) for predicting grade ≥ 2 acute radiation pneumonitis (ARP) in lung cancer patients upon...
7.
Cui S, Hope A, Dilling T, Dawson L, Ten Haken R, El Naqa I
Semin Radiat Oncol
. 2022 Oct;
32(4):351-364.
PMID: 36202438
Outcome modeling plays an important role in personalizing radiotherapy and finds applications in specialized areas such as adaptive radiotherapy. Conventional outcome models that are based on a simplified understanding of...
8.
Niraula D, Cui S, Pakela J, Wei L, Luo Y, Ten Haken R, et al.
Br J Radiol
. 2022 Jul;
95(1139):20220239.
PMID: 35867841
Advancements in data-driven technologies and the inclusion of information-rich multiomics features have significantly improved the performance of outcomes modeling in radiation oncology. For this current trend to be sustainable, challenges...
9.
Cui S, Pratx G
Med Phys
. 2022 Apr;
49(6):3914-3925.
PMID: 35393643
Purpose: Ultra-high-dose-rate irradiation, also known as FLASH, has been shown to improve the therapeutic ratio of radiation therapy (RT). The mechanism behind this effect has been partially explained by the...
10.
Cui S, Ten Haken R, El Naqa I
Int J Radiat Oncol Biol Phys
. 2021 Feb;
110(3):893-904.
PMID: 33539966
Purpose: Novel actuarial deep learning neural network (ADNN) architectures are proposed for joint prediction of radiation therapy outcomes-radiation pneumonitis (RP) and local control (LC)-in stage III non-small cell lung cancer...