These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
896 related articles for article (PubMed ID: 35287067)
1. Optimizing the radiomics-machine-learning model based on non-contrast enhanced CT for the simplified risk categorization of thymic epithelial tumors: A large cohort retrospective study. Feng XL; Wang SZ; Chen HH; Huang YX; Xin YK; Zhang T; Cheng DL; Mao L; Li XL; Liu CX; Hu YC; Wang W; Cui GB; Nan HY Lung Cancer; 2022 Apr; 166():150-160. PubMed ID: 35287067 [TBL] [Abstract][Full Text] [Related]
2. Machine-learning-based computed tomography radiomic analysis for histologic subtype classification of thymic epithelial tumours. Hu J; Zhao Y; Li M; Liu Y; Wang F; Weng Q; You R; Cao D Eur J Radiol; 2020 May; 126():108929. PubMed ID: 32169748 [TBL] [Abstract][Full Text] [Related]
3. CT-Based Radiomics Signatures for Predicting the Risk Categorization of Thymic Epithelial Tumors. Liu J; Yin P; Wang S; Liu T; Sun C; Hong N Front Oncol; 2021; 11():628534. PubMed ID: 33718203 [TBL] [Abstract][Full Text] [Related]
4. Computed tomography radiomic feature analysis of thymic epithelial tumors: Differentiation of thymic epithelial tumors from thymic cysts and prediction of histological subtypes. Zhao W; Ozawa Y; Hara M; Okuda K; Hiwatashi A Jpn J Radiol; 2024 Apr; 42(4):367-373. PubMed ID: 38010596 [TBL] [Abstract][Full Text] [Related]
5. Development and Validation of Contrast-Enhanced CT-Based Deep Transfer Learning and Combined Clinical-Radiomics Model to Discriminate Thymomas and Thymic Cysts: A Multicenter Study. Yang Y; Cheng J; Peng Z; Yi L; Lin Z; He A; Jin M; Cui C; Liu Y; Zhong Q; Zuo M Acad Radiol; 2024 Apr; 31(4):1615-1628. PubMed ID: 37949702 [TBL] [Abstract][Full Text] [Related]
6. Deep learning-based radiomic nomogram to predict risk categorization of thymic epithelial tumors: A multicenter study. Zhou H; Bai HX; Jiao Z; Cui B; Wu J; Zheng H; Yang H; Liao W Eur J Radiol; 2023 Nov; 168():111136. PubMed ID: 37832194 [TBL] [Abstract][Full Text] [Related]
7. The efficacy of Nakajo M; Takeda A; Katsuki A; Jinguji M; Ohmura K; Tani A; Sato M; Yoshiura T Br J Radiol; 2022 Jun; 95(1134):20211050. PubMed ID: 35312337 [TBL] [Abstract][Full Text] [Related]
8. Contrast-enhanced CT-based radiomics model for differentiating risk subgroups of thymic epithelial tumors. Yu C; Li T; Yang X; Zhang R; Xin L; Zhao Z; Cui J BMC Med Imaging; 2022 Mar; 22(1):37. PubMed ID: 35249531 [TBL] [Abstract][Full Text] [Related]
9. Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes. Chen X; Feng B; Xu K; Chen Y; Duan X; Jin Z; Li K; Li R; Long W; Liu X Eur Radiol; 2023 Oct; 33(10):6804-6816. PubMed ID: 37148352 [TBL] [Abstract][Full Text] [Related]
10. Conventional and radiomic features to predict pathology in the preoperative assessment of anterior mediastinal masses. Mayoral M; Pagano AM; Araujo-Filho JAB; Zheng J; Perez-Johnston R; Tan KS; Gibbs P; Fernandes Shepherd A; Rimner A; Simone II CB; Riely G; Huang J; Ginsberg MS Lung Cancer; 2023 Apr; 178():206-212. PubMed ID: 36871345 [TBL] [Abstract][Full Text] [Related]
11. A radiomics model to predict the invasiveness of thymic epithelial tumors based on contrast‑enhanced computed tomography. Chen X; Feng B; Li C; Duan X; Chen Y; Li Z; Liu Z; Zhang C; Long W Oncol Rep; 2020 Apr; 43(4):1256-1266. PubMed ID: 32323834 [TBL] [Abstract][Full Text] [Related]
12. Predicting pathological subtypes and stages of thymic epithelial tumors using DWI: value of combining ADC and texture parameters. Li B; Xin YK; Xiao G; Li GF; Duan SJ; Han Y; Feng XL; Yan WQ; Rong WC; Wang SM; Hu YC; Cui GB Eur Radiol; 2019 Oct; 29(10):5330-5340. PubMed ID: 30877464 [TBL] [Abstract][Full Text] [Related]
13. Radiomics Analysis of Multiphasic Computed Tomography Images for Distinguishing High-Risk Thymic Epithelial Tumors From Low-Risk Thymic Epithelial Tumors. Liufu Y; Wen Y; Wu W; Su R; Liu S; Li J; Pan X; Chen K; Guan Y J Comput Assist Tomogr; 2023 Mar-Apr 01; 47(2):220-228. PubMed ID: 36877755 [TBL] [Abstract][Full Text] [Related]
14. Diagnostic and prognostic values of 2-[ Han S; Kim YI; Oh JS; Seo SY; Park MJ; Lee GD; Choi S; Kim HR; Kim YH; Kim DK; Park SI; Ryu JS Eur Radiol; 2022 Feb; 32(2):1173-1183. PubMed ID: 34448035 [TBL] [Abstract][Full Text] [Related]
15. Radiomics Signatures of Computed Tomography Imaging for Predicting Risk Categorization and Clinical Stage of Thymomas. Wang X; Sun W; Liang H; Mao X; Lu Z Biomed Res Int; 2019; 2019():3616852. PubMed ID: 31275968 [TBL] [Abstract][Full Text] [Related]
16. Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung Adenocarcinoma. Xu F; Zhu W; Shen Y; Wang J; Xu R; Qutesh C; Song L; Gan Y; Pu C; Hu H Front Oncol; 2020; 10():872. PubMed ID: 32850301 [No Abstract] [Full Text] [Related]
17. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study. Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008 [TBL] [Abstract][Full Text] [Related]
18. Predicting the risk category of thymoma with machine learning-based computed tomography radiomics signatures and their between-imaging phase differences. Liang Z; Li J; Tang Y; Zhang Y; Chen C; Li S; Wang X; Xu X; Zhuang Z; He S; Deng B Sci Rep; 2024 Aug; 14(1):19215. PubMed ID: 39160177 [TBL] [Abstract][Full Text] [Related]
19. The predictive value of a computed tomography-based radiomics model for the surgical separability of thymic epithelial tumors from the superior vena cava and the left innominate vein. Li Z; Wang F; Zhang H; Zheng H; Zhou X; Wang Z; Xie S; Peng L; Wang X; Wang Y Quant Imaging Med Surg; 2023 Sep; 13(9):5622-5640. PubMed ID: 37711814 [TBL] [Abstract][Full Text] [Related]
20. Radiomics-based machine learning in the differentiation of benign and malignant bowel wall thickening radiomics in bowel wall thickening. Bülbül HM; Burakgazi G; Kesimal U; Kaba E Jpn J Radiol; 2024 Aug; 42(8):872-879. PubMed ID: 38536559 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]