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For: Han X, Yang J, Luo J, Chen P, Zhang Z, Alu A, Xiao Y, Ma X. Application of CT-Based Radiomics in Discriminating Pancreatic Cystadenomas From Pancreatic Neuroendocrine Tumors Using Machine Learning Methods. Front Oncol 2021;11:606677. [PMID: 34367940 DOI: 10.3389/fonc.2021.606677] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Granata V, Fusco R, Setola SV, Galdiero R, Maggialetti N, Silvestro L, De Bellis M, Di Girolamo E, Grazzini G, Chiti G, Brunese MC, Belli A, Patrone R, Palaia R, Avallone A, Petrillo A, Izzo F. Risk Assessment and Pancreatic Cancer: Diagnostic Management and Artificial Intelligence. Cancers (Basel) 2023;15. [PMID: 36672301 DOI: 10.3390/cancers15020351] [Reference Citation Analysis]
2 Liang W, Tian W, Wang Y, Wang P, Wang Y, Zhang H, Ruan S, Shao J, Zhang X, Huang D, Ding Y, Bai X. Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models. BMC Cancer 2022;22:1237. [PMID: 36447168 DOI: 10.1186/s12885-022-10273-4] [Reference Citation Analysis]
3 Staal FCR, Aalbersberg EA, van der Velden D, Wilthagen EA, Tesselaar MET, Beets-Tan RGH, Maas M. GEP-NET radiomics: a systematic review and radiomics quality score assessment. Eur Radiol 2022. [PMID: 35882634 DOI: 10.1007/s00330-022-08996-w] [Reference Citation Analysis]
4 Jie B, Hongxi Y, Ankang G, Yida W, Guohua Z, Xiaoyue M, Chenglong W, Haijie W, Xiaonan Z, Guang Y, Yong Z, Jingliang C. Radiomics Nomogram Improves the Prediction of Epilepsy in Patients With Gliomas. Front Oncol 2022;12:856359. [PMID: 35433444 DOI: 10.3389/fonc.2022.856359] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Pantelis AG, Panagopoulou PA, Lapatsanis DP. Artificial Intelligence and Machine Learning in the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms—A Scoping Review. Diagnostics 2022;12:874. [DOI: 10.3390/diagnostics12040874] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Tong H, Wei H, Smith AO, Huang J. The Role of m6A Epigenetic Modification in the Treatment of Colorectal Cancer Immune Checkpoint Inhibitors. Front Immunol 2021;12:802049. [PMID: 35069586 DOI: 10.3389/fimmu.2021.802049] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
7 Yang Y, Li W, Guo Y, Zeng N, Wang S, Chen Z, Liu Y, Chen H, Duan W, Li X, Zhao W, Chen R, Kang Y. . MBE 2022;19:7826-55. [DOI: 10.3934/mbe.2022366] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Fotopoulos D, Shirodkar K, Mohanty HS. Advances in Neuroendocrine Tumor Imaging, Including PET and Artificial Intelligence (AI). Artificial Intelligence in PET/CT Oncologic Imaging 2022. [DOI: 10.1007/978-3-031-10090-1_9] [Reference Citation Analysis]
9 Gao A, Yang H, Wang Y, Zhao G, Wang C, Wang H, Zhang X, Zhang Y, Cheng J, Yang G, Bai J. Radiomics for the Prediction of Epilepsy in Patients With Frontal Glioma. Front Oncol 2021;11:725926. [PMID: 34881174 DOI: 10.3389/fonc.2021.725926] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
10 Zhao Y, Chen R, Zhang T, Chen C, Muhelisa M, Huang J, Xu Y, Ma X. MRI-Based Machine Learning in Differentiation Between Benign and Malignant Breast Lesions. Front Oncol 2021;11:552634. [PMID: 34733774 DOI: 10.3389/fonc.2021.552634] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]