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For: Zhuo Z, Qu L, Zhang P, Duan Y, Cheng D, Xu X, Sun T, Ding J, Xie C, Liu X, Haller S, Barkhof F, Zhang L, Liu Y. Prediction of H3K27M-mutant brainstem glioma by amide proton transfer-weighted imaging and its derived radiomics. Eur J Nucl Med Mol Imaging 2021. [PMID: 34131804 DOI: 10.1007/s00259-021-05455-4] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 9.0] [Reference Citation Analysis]
Number Citing Articles
1 Zhao X, Li D, Qiao Z, Wang K, Chen Q, Pan C, Wu Y, Xiao D, Xi T, Zhang L, Ai L. 11C-methionine PET imaging characteristics in children with diffuse intrinsic pontine gliomas and relationship to survival.. [DOI: 10.21203/rs.3.rs-2079990/v1] [Reference Citation Analysis]
2 Zhu M, Li S, Kuang Y, Hill VB, Heimberger AB, Zhai L, Zhai S. Artificial intelligence in the radiomic analysis of glioblastomas: A review, taxonomy, and perspective. Front Oncol 2022;12:924245. [DOI: 10.3389/fonc.2022.924245] [Reference Citation Analysis]
3 Liu X, Li J, Xu Q, Zhang Q, Zhou X, Pan H, Wu N, Lu G, Zhang Z. RP-Rs-fMRIomics as a Novel Imaging Analysis Strategy to Empower Diagnosis of Brain Gliomas. Cancers (Basel) 2022;14:2818. [PMID: 35740484 DOI: 10.3390/cancers14122818] [Reference Citation Analysis]
4 Zhou J, Zaiss M, Knutsson L, Sun PZ, Ahn SS, Aime S, Bachert P, Blakeley JO, Cai K, Chappell MA, Chen M, Gochberg DF, Goerke S, Heo HY, Jiang S, Jin T, Kim SG, Laterra J, Paech D, Pagel MD, Park JE, Reddy R, Sakata A, Sartoretti-Schefer S, Sherry AD, Smith SA, Stanisz GJ, Sundgren PC, Togao O, Vandsburger M, Wen Z, Wu Y, Zhang Y, Zhu W, Zu Z, van Zijl PCM. Review and consensus recommendations on clinical APT-weighted imaging approaches at 3T: Application to brain tumors. Magn Reson Med 2022. [PMID: 35452155 DOI: 10.1002/mrm.29241] [Cited by in Crossref: 8] [Cited by in F6Publishing: 11] [Article Influence: 8.0] [Reference Citation Analysis]
5 Jin X, Yan R, Li Z, Zhang G, Liu W, Wang H, Zhang M, Guo J, Wang K, Han D. Evaluation of Amide Proton Transfer-Weighted Imaging for Risk Factors in Stage I Endometrial Cancer: A Comparison With Diffusion-Weighted Imaging and Diffusion Kurtosis Imaging. Front Oncol 2022;12:876120. [DOI: 10.3389/fonc.2022.876120] [Reference Citation Analysis]
6 Hua T, Zhuo Z, Duan Y, Li X, Gu H, Haller S, Zhang P, Liu X, Zhang L, Liu Y. Prediction of H3 K27M-mutant in midline gliomas by magnetic resonance imaging: a systematic review and meta-analysis. Neuroradiology 2022. [PMID: 35416485 DOI: 10.1007/s00234-022-02947-4] [Reference Citation Analysis]
7 Guo W, She D, Xing Z, Lin X, Wang F, Song Y, Cao D. Multiparametric MRI-Based Radiomics Model for Predicting H3 K27M Mutant Status in Diffuse Midline Glioma: A Comparative Study Across Different Sequences and Machine Learning Techniques. Front Oncol 2022;12:796583. [PMID: 35311083 DOI: 10.3389/fonc.2022.796583] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Wan Q, Zhou J, Xia X, Hu J, Wang P, Peng Y, Zhang T, Sun J, Song Y, Yang G, Li X. Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion. Front Oncol 2021;11:683587. [PMID: 34868905 DOI: 10.3389/fonc.2021.683587] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]