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Cited by in F6Publishing
For: Chen J, Bermejo I, Dekker A, Wee L. Generative models improve radiomics performance in different tasks and different datasets: An experimental study. Phys Med 2022;98:11-7. [PMID: 35468494 DOI: 10.1016/j.ejmp.2022.04.008] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Chen J, Wee L, Dekker A, Bermejo I. Improving reproducibility and performance of radiomics in low-dose CT using cycle GANs. J Appl Clin Med Phys 2022;:e13739. [PMID: 35906893 DOI: 10.1002/acm2.13739] [Reference Citation Analysis]
2 Bos P, van den Brekel MWM, Taghavi M, Gouw ZAR, Al-Mamgani A, Waktola S, J W L Aerts H, Beets-Tan RGH, Castelijns JA, Jasperse B. Largest diameter delineations can substitute 3D tumor volume delineations for radiomics prediction of human papillomavirus status on MRI's of oropharyngeal cancer. Phys Med 2022;101:36-43. [PMID: 35882094 DOI: 10.1016/j.ejmp.2022.07.004] [Reference Citation Analysis]
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