286 related articles for article (PubMed ID: 36547672)
21. Machine learning-based multiparametric MRI radiomics for predicting the aggressiveness of papillary thyroid carcinoma.
Wang H; Song B; Ye N; Ren J; Sun X; Dai Z; Zhang Y; Chen BT
Eur J Radiol; 2020 Jan; 122():108755. PubMed ID: 31783344
[TBL] [Abstract][Full Text] [Related]
22. Radiomics Based on Contrast-Enhanced MRI in Differentiation Between Fat-Poor Angiomyolipoma and Hepatocellular Carcinoma in Noncirrhotic Liver: A Multicenter Analysis.
Zhao X; Zhou Y; Zhang Y; Han L; Mao L; Yu Y; Li X; Zeng M; Wang M; Liu Z
Front Oncol; 2021; 11():744756. PubMed ID: 34722300
[TBL] [Abstract][Full Text] [Related]
23. An MRI radiomics approach to predict survival and tumour-infiltrating macrophages in gliomas.
Li G; Li L; Li Y; Qian Z; Wu F; He Y; Jiang H; Li R; Wang D; Zhai Y; Wang Z; Jiang T; Zhang J; Zhang W
Brain; 2022 Apr; 145(3):1151-1161. PubMed ID: 35136934
[TBL] [Abstract][Full Text] [Related]
24. MRI-Based Machine Learning for Differentiating Borderline From Malignant Epithelial Ovarian Tumors: A Multicenter Study.
Li Y; Jian J; Pickhardt PJ; Ma F; Xia W; Li H; Zhang R; Zhao S; Cai S; Zhao X; Zhang J; Zhang G; Jiang J; Zhang Y; Wang K; Lin G; Feng F; Lu J; Deng L; Wu X; Qiang J; Gao X
J Magn Reson Imaging; 2020 Sep; 52(3):897-904. PubMed ID: 32045064
[TBL] [Abstract][Full Text] [Related]
25. Radiomic Features on Multiparametric MRI for Preoperative Evaluation of Pituitary Macroadenomas Consistency: Preliminary Findings.
Wan T; Wu C; Meng M; Liu T; Li C; Ma J; Qin Z
J Magn Reson Imaging; 2022 May; 55(5):1491-1503. PubMed ID: 34549842
[TBL] [Abstract][Full Text] [Related]
26. Multiparametric-MRI-Based Radiomics Model for Differentiating Primary Central Nervous System Lymphoma From Glioblastoma: Development and Cross-Vendor Validation.
Xia W; Hu B; Li H; Geng C; Wu Q; Yang L; Yin B; Gao X; Li Y; Geng D
J Magn Reson Imaging; 2021 Jan; 53(1):242-250. PubMed ID: 32864825
[TBL] [Abstract][Full Text] [Related]
27. Elaboration of Multiparametric MRI-Based Radiomics Signature for the Preoperative Quantitative Identification of the Histological Grade in Patients With Non-Small-Cell Lung Cancer.
Tang X; Bai G; Wang H; Guo F; Yin H
J Magn Reson Imaging; 2022 Aug; 56(2):579-589. PubMed ID: 35040525
[TBL] [Abstract][Full Text] [Related]
28. A fully automatic multiparametric radiomics model for differentiation of adult pilocytic astrocytomas from high-grade gliomas.
Park YW; Eom J; Kim D; Ahn SS; Kim EH; Kang SG; Chang JH; Kim SH; Lee SK
Eur Radiol; 2022 Jul; 32(7):4500-4509. PubMed ID: 35141780
[TBL] [Abstract][Full Text] [Related]
29. Development and Validation of Multiparametric MRI-based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer.
Lefebvre TL; Ueno Y; Dohan A; Chatterjee A; Vallières M; Winter-Reinhold E; Saif S; Levesque IR; Zeng XZ; Forghani R; Seuntjens J; Soyer P; Savadjiev P; Reinhold C
Radiology; 2022 Nov; 305(2):375-386. PubMed ID: 35819326
[TBL] [Abstract][Full Text] [Related]
30. Multiparametric Magnetic Resonance Imaging-Based Peritumoral Radiomics for Preoperative Prediction of the Presence of Extracapsular Extension With Prostate Cancer.
Bai H; Xia W; Ji X; He D; Zhao X; Bao J; Zhou J; Wei X; Huang Y; Li Q; Gao X
J Magn Reson Imaging; 2021 Oct; 54(4):1222-1230. PubMed ID: 33970517
[TBL] [Abstract][Full Text] [Related]
31. A machine learning radiomics model based on bpMRI to predict bone metastasis in newly diagnosed prostate cancer patients.
Xinyang S; Shuang Z; Tianci S; Xiangyu H; Yangyang W; Mengying D; Jingran Z; Feng Y
Magn Reson Imaging; 2024 Apr; 107():15-23. PubMed ID: 38181835
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Radiomics Analysis Based on Multiparametric MRI for Predicting Early Recurrence in Hepatocellular Carcinoma After Partial Hepatectomy.
Zhao Y; Wu J; Zhang Q; Hua Z; Qi W; Wang N; Lin T; Sheng L; Cui D; Liu J; Song Q; Li X; Wu T; Guo Y; Cui J; Liu A
J Magn Reson Imaging; 2021 Apr; 53(4):1066-1079. PubMed ID: 33217114
[TBL] [Abstract][Full Text] [Related]
34. A predictive nomogram for individualized recurrence stratification of bladder cancer using multiparametric MRI and clinical risk factors.
Xu X; Wang H; Du P; Zhang F; Li S; Zhang Z; Yuan J; Liang Z; Zhang X; Guo Y; Liu Y; Lu H
J Magn Reson Imaging; 2019 Dec; 50(6):1893-1904. PubMed ID: 30980695
[TBL] [Abstract][Full Text] [Related]
35. Qualitative and Quantitative MRI Analysis in IDH1 Genotype Prediction of Lower-Grade Gliomas: A Machine Learning Approach.
Cao M; Suo S; Zhang X; Wang X; Xu J; Yang W; Zhou Y
Biomed Res Int; 2021; 2021():1235314. PubMed ID: 33553421
[TBL] [Abstract][Full Text] [Related]
36. An investigation of machine learning methods in delta-radiomics feature analysis.
Chang Y; Lafata K; Sun W; Wang C; Chang Z; Kirkpatrick JP; Yin FF
PLoS One; 2019; 14(12):e0226348. PubMed ID: 31834910
[TBL] [Abstract][Full Text] [Related]
37. Deriving quantitative information from multiparametric MRI via Radiomics: Evaluation of the robustness and predictive value of radiomic features in the discrimination of low-grade versus high-grade gliomas with machine learning.
Ubaldi L; Saponaro S; Giuliano A; Talamonti C; Retico A
Phys Med; 2023 Mar; 107():102538. PubMed ID: 36796177
[TBL] [Abstract][Full Text] [Related]
38. [Value of radiomics model based on dynamic contrast-enhanced magnetic resonance imaging in differentiation fat-poor angiomyolipoma from alpha-fetoprotein-negative hepatocellular carcinoma in the background of non-cirrhotic liver].
Zhang Y; Zhao XT; Wang ML; Han LJ; Mao L; Li XL; Liang CH; Liu ZY
Zhonghua Yi Xue Za Zhi; 2022 Jan; 102(3):196-200. PubMed ID: 35042288
[No Abstract] [Full Text] [Related]
39. Multiparametric MRI-based machine learning models for preoperatively predicting rectal adenoma with canceration.
Li P; Song G; Wu R; Li H; Zhang R; Zuo P; Li A
MAGMA; 2021 Oct; 34(5):707-716. PubMed ID: 33646452
[TBL] [Abstract][Full Text] [Related]
40. Different multiparametric MRI-based radiomics models for differentiating stage IA endometrial cancer from benign endometrial lesions: A multicenter study.
Bi Q; Wang Y; Deng Y; Liu Y; Pan Y; Song Y; Wu Y; Wu K
Front Oncol; 2022; 12():939930. PubMed ID: 35992858
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
