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Cited by in F6Publishing
For: Huang P, Yan H, Hu Z, Liu Z, Tian Y, Dai J. Predicting radiation pneumonitis with fuzzy clustering neural network using 4DCT ventilation image based dosimetric parameters. Quant Imaging Med Surg 2021;11:4731-41. [PMID: 34888185 DOI: 10.21037/qims-20-1095] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Wallat EM, Wuschner AE, Flakus MJ, Gerard SE, Christensen GE, Reinhardt JM, Bayouth JE. Predicting pulmonary ventilation damage after radiation therapy for nonsmall cell lung cancer using a ResNet generative adversarial network. Med Phys 2023. [PMID: 36779695 DOI: 10.1002/mp.16311] [Reference Citation Analysis]
2 Karampitsakos T, Sampsonas F, Spagnolo P, Tzouvelekis A. Pulmonary effects of cancer treatments. Lung Diseases and Cancer 2022. [DOI: 10.1183/2312508x.10020421] [Reference Citation Analysis]
3 Yan D, Ning L, Chen Y, Ke S, Huang H, Wang L, Yan S. Analysis of deep inspiration breath-hold technique to improve dosimetric and clinical advantages in postoperative intensity-modulated radiation therapy for thymomas. Quant Imaging Med Surg 2022;12:4239-47. [PMID: 35919039 DOI: 10.21037/qims-21-1101] [Reference Citation Analysis]
4 Mei L, Wang K, Gu Y. Improved Fuzzy C-Means Clustering Algorithm-Based Dynamic Contrast-Enhanced Magnetic Resonance Imaging Features in the Diagnosis of Invasive Breast Carcinoma before and after Menopause. Comput Math Methods Med 2022;2022:2917844. [PMID: 35761837 DOI: 10.1155/2022/2917844] [Reference Citation Analysis]
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