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Cited by in F6Publishing
For: Wong OL, Yuan J, Zhou Y, Yu SK, Cheung KY. Longitudinal acquisition repeatability of MRI radiomics features: An ACR MRI phantom study on two MRI scanners using a 3D T1W TSE sequence. Med Phys 2021;48:1239-49. [PMID: 33370474 DOI: 10.1002/mp.14686] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Xue C, Chu WCW, Yuan J, Poon DMC, Yang B, Zhou Y, Yu SK, Cheung KY. Determining the reliable feature change in longitudinal radiomics studies: A methodological approach using the reliable change index. Med Phys 2023;50:958-69. [PMID: 36251320 DOI: 10.1002/mp.16046] [Reference Citation Analysis]
2 Veres G, Kiss J, Vas NF, Kallos-balogh P, Máthé NB, Lassen ML, Berényi E, Balkay L. Phantom Study on the Robustness of MR Radiomics Features: Comparing the Applicability of 3D Printed and Biological Phantoms. Diagnostics 2022;12:2196. [DOI: 10.3390/diagnostics12092196] [Reference Citation Analysis]
3 Mitchell D, Buszek S, Tran B, Farhat M, Goldman J, Erickson L, Curl B, Suki D, Ferguson SD, Liu H, Kundu S, Chung C. Managing the effect of magnetic resonance imaging pulse sequence on radiomic feature reproducibility in the study of brain metastases. F1000Res 2022;11:892. [DOI: 10.12688/f1000research.122871.1] [Reference Citation Analysis]
4 Xue C, Yuan J, Zhou Y, Wong OL, Cheung KY, Yu SK. Acquisition repeatability of MRI radiomics features in the head and neck: a dual-3D-sequence multi-scan study. Vis Comput Ind Biomed Art 2022;5:10. [PMID: 35359245 DOI: 10.1186/s42492-022-00106-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Ericsson-Szecsenyi R, Zhang G, Redler G, Feygelman V, Rosenberg S, Latifi K, Ceberg C, Moros EG. Robustness Assessment of Images From a 0.35T Scanner of an Integrated MRI-Linac: Characterization of Radiomics Features in Phantom and Patient Data. Technol Cancer Res Treat 2022;21:15330338221099113. [PMID: 35521966 DOI: 10.1177/15330338221099113] [Reference Citation Analysis]
6 Nardone V, Reginelli A, Grassi R, Boldrini L, Vacca G, D'Ippolito E, Annunziata S, Farchione A, Belfiore MP, Desideri I, Cappabianca S. Delta radiomics: a systematic review. Radiol Med 2021;126:1571-83. [PMID: 34865190 DOI: 10.1007/s11547-021-01436-7] [Cited by in Crossref: 24] [Cited by in F6Publishing: 28] [Article Influence: 12.0] [Reference Citation Analysis]
7 Whitney HM, Drukker K, Edwards A, Papaioannou J, Medved M, Karczmar G, Giger ML. Robustness of radiomic features of benign breast lesions and hormone receptor positive/HER2-negative cancers across DCE-MR magnet strengths. Magn Reson Imaging 2021;82:111-21. [PMID: 34174331 DOI: 10.1016/j.mri.2021.06.021] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
8 Xue C, Yuan J, Poon DM, Zhou Y, Yang B, Yu SK, Cheung YK. Reliability of MRI radiomics features in MR-guided radiotherapy for prostate cancer: Repeatability, reproducibility, and within-subject agreement. Med Phys 2021;48:6976-86. [PMID: 34562286 DOI: 10.1002/mp.15232] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 4.5] [Reference Citation Analysis]
9 Li Y, Yu M, Wang G, Yang L, Ma C, Wang M, Yue M, Cong M, Ren J, Shi G. Contrast-Enhanced CT-Based Radiomics Analysis in Predicting Lymphovascular Invasion in Esophageal Squamous Cell Carcinoma. Front Oncol 2021;11:644165. [PMID: 34055613 DOI: 10.3389/fonc.2021.644165] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]