154 related articles for article (PubMed ID: 38625419)
1. Prediction of prostate cancer aggressiveness using magnetic resonance imaging radiomics: a dual-center study.
Pan N; Shi L; He D; Zhao J; Xiong L; Ma L; Li J; Ai K; Zhao L; Huang G
Discov Oncol; 2024 Apr; 15(1):122. PubMed ID: 38625419
[TBL] [Abstract][Full Text] [Related]
2. Multiparametric MRI radiomics in prostate cancer for predicting Ki-67 expression and Gleason score: a multicenter retrospective study.
Zhou C; Zhang YF; Guo S; Wang D; Lv HX; Qiao XN; Wang R; Chang DH; Zhao LM; Zhou FH
Discov Oncol; 2023 Jul; 14(1):133. PubMed ID: 37470865
[TBL] [Abstract][Full Text] [Related]
3. MRI Radiomics-Based Machine Learning Models for Ki67 Expression and Gleason Grade Group Prediction in Prostate Cancer.
Qiao X; Gu X; Liu Y; Shu X; Ai G; Qian S; Liu L; He X; Zhang J
Cancers (Basel); 2023 Sep; 15(18):. PubMed ID: 37760505
[TBL] [Abstract][Full Text] [Related]
4. Association of Pathological Features and Multiparametric MRI-Based Radiomics With TP53-Mutated Prostate Cancer.
Chen R; Zhou B; Liu W; Gan H; Liu X; Zhou L
J Magn Reson Imaging; 2023 Dec; ():. PubMed ID: 38153859
[TBL] [Abstract][Full Text] [Related]
5. Prediction of prostate cancer aggressiveness with a combination of radiomics and machine learning-based analysis of dynamic contrast-enhanced MRI.
Liu B; Cheng J; Guo DJ; He XJ; Luo YD; Zeng Y; Li CM
Clin Radiol; 2019 Nov; 74(11):896.e1-896.e8. PubMed ID: 31495546
[TBL] [Abstract][Full Text] [Related]
6. Radiomics Based on MRI as a Biomarker to Guide Therapy by Predicting Upgrading of Prostate Cancer From Biopsy to Radical Prostatectomy.
Zhang GM; Han YQ; Wei JW; Qi YF; Gu DS; Lei J; Yan WG; Xiao Y; Xue HD; Feng F; Sun H; Jin ZY; Tian J
J Magn Reson Imaging; 2020 Oct; 52(4):1239-1248. PubMed ID: 32181985
[TBL] [Abstract][Full Text] [Related]
7. Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging.
Dai H; Lu M; Huang B; Tang M; Pang T; Liao B; Cai H; Huang M; Zhou Y; Chen X; Ding H; Feng ST
Quant Imaging Med Surg; 2021 May; 11(5):1836-1853. PubMed ID: 33936969
[TBL] [Abstract][Full Text] [Related]
8. The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy.
Hu C; Qiao X; Hu C; Cao C; Wang X; Bao J
Cancer Imaging; 2024 Feb; 24(1):23. PubMed ID: 38326860
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Prediction of High-Risk Cytogenetic Status in Multiple Myeloma Based on Magnetic Resonance Imaging: Utility of Radiomics and Comparison of Machine Learning Methods.
Liu J; Zeng P; Guo W; Wang C; Geng Y; Lang N; Yuan H
J Magn Reson Imaging; 2021 Oct; 54(4):1303-1311. PubMed ID: 33979466
[TBL] [Abstract][Full Text] [Related]
11. Bi-parametric magnetic resonance imaging based radiomics for the identification of benign and malignant prostate lesions: cross-vendor validation.
Ji X; Zhang J; Shi W; He D; Bao J; Wei X; Huang Y; Liu Y; Chen JC; Gao X; Tang Y; Xia W
Phys Eng Sci Med; 2021 Sep; 44(3):745-754. PubMed ID: 34075559
[TBL] [Abstract][Full Text] [Related]
12. Predicting the Grade of Prostate Cancer Based on a Biparametric MRI Radiomics Signature.
Zhang L; Zhe X; Tang M; Zhang J; Ren J; Zhang X; Li L
Contrast Media Mol Imaging; 2021; 2021():7830909. PubMed ID: 35024015
[TBL] [Abstract][Full Text] [Related]
13. Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion.
Wan Q; Zhou J; Xia X; Hu J; Wang P; Peng Y; Zhang T; Sun J; Song Y; Yang G; Li X
Front Oncol; 2021; 11():683587. PubMed ID: 34868905
[TBL] [Abstract][Full Text] [Related]
14. Prediction of recurrence of ischemic stroke within 1 year of discharge based on machine learning MRI radiomics.
Liu J; Wu Y; Jia W; Han M; Chen Y; Li J; Wu B; Yin S; Zhang X; Chen J; Yu P; Luo H; Tu J; Zhou F; Cheng X; Yi Y
Front Neurosci; 2023; 17():1110579. PubMed ID: 37214402
[TBL] [Abstract][Full Text] [Related]
15. Prostate Cancer Differentiation and Aggressiveness: Assessment With a Radiomic-Based Model vs. PI-RADS v2.
Chen T; Li M; Gu Y; Zhang Y; Yang S; Wei C; Wu J; Li X; Zhao W; Shen J
J Magn Reson Imaging; 2019 Mar; 49(3):875-884. PubMed ID: 30230108
[TBL] [Abstract][Full Text] [Related]
16. Peritumoral and Intratumoral Texture Features Based on Multiparametric MRI and Multiple Machine Learning Methods to Preoperatively Evaluate the Pathological Outcomes of Pancreatic Cancer.
Xie N; Fan X; Chen D; Chen J; Yu H; He M; Liu H; Yin X; Li B; Wang H
J Magn Reson Imaging; 2023 Aug; 58(2):379-391. PubMed ID: 36426965
[TBL] [Abstract][Full Text] [Related]
17. Radiomic Machine Learning and External Validation Based on 3.0 T mpMRI for Prediction of Intraductal Carcinoma of Prostate With Different Proportion.
Yang L; Li Z; Liang X; Xu J; Cai Y; Huang C; Zhang M; Yao J; Song B
Front Oncol; 2022; 12():934291. PubMed ID: 35837116
[TBL] [Abstract][Full Text] [Related]
18. Using radiomics based on multicenter magnetic resonance images to predict isocitrate dehydrogenase mutation status of gliomas.
Liu Y; Zheng Z; Wang Z; Qian X; Yao Z; Cheng C; Zhou Z; Gao F; Dai Y
Quant Imaging Med Surg; 2023 Apr; 13(4):2143-2155. PubMed ID: 37064376
[TBL] [Abstract][Full Text] [Related]
19. Prediction of the Ki-67 expression level in head and neck squamous cell carcinoma with machine learning-based multiparametric MRI radiomics: a multicenter study.
Chen W; Lin G; Chen Y; Cheng F; Li X; Ding J; Zhong Y; Kong C; Chen M; Xia S; Lu C; Ji J
BMC Cancer; 2024 Apr; 24(1):418. PubMed ID: 38580939
[TBL] [Abstract][Full Text] [Related]
20. Multisequence magnetic resonance imaging-based radiomics models for the prediction of microsatellite instability in endometrial cancer.
Song XL; Luo HJ; Ren JL; Yin P; Liu Y; Niu J; Hong N
Radiol Med; 2023 Feb; 128(2):242-251. PubMed ID: 36656410
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]