158 related articles for article (PubMed ID: 32932375)
1. A Magnetic Resonance Imaging Radiomics Signature to Distinguish Benign From Malignant Orbital Lesions.
Duron L; Heraud A; Charbonneau F; Zmuda M; Savatovsky J; Fournier L; Lecler A
Invest Radiol; 2021 Mar; 56(3):173-180. PubMed ID: 32932375
[TBL] [Abstract][Full Text] [Related]
2. Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions.
Zhang Q; Peng Y; Liu W; Bai J; Zheng J; Yang X; Zhou L
J Magn Reson Imaging; 2020 Aug; 52(2):596-607. PubMed ID: 32061014
[TBL] [Abstract][Full Text] [Related]
3. [Value of radiomics models based on MRI diffusion weighted imaging and apparent diffusion coefficient in differentiating benign and malignant thyroid nodules].
Xu HJ; Yang Q; He P; Luo HH; Deng WM; Liu Z; Luo DH
Zhonghua Yi Xue Za Zhi; 2023 Nov; 103(41):3279-3286. PubMed ID: 37926572
[No Abstract] [Full Text] [Related]
4. Application of BOLD
Deng Y; Pan L; Xing W; Zhou Z; Chen J
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2021 Sept 28; 46(9):1010-1017. PubMed ID: 34707012
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Ensemble learning-based radiomics with multi-sequence magnetic resonance imaging for benign and malignant soft tissue tumor differentiation.
Lee S; Lee SY; Jung JY; Nam Y; Jeon HJ; Jung CK; Shin SH; Chung YG
PLoS One; 2023; 18(5):e0286417. PubMed ID: 37256875
[TBL] [Abstract][Full Text] [Related]
7. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
Wang X; Wan Q; Chen H; Li Y; Li X
Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
[TBL] [Abstract][Full Text] [Related]
8. Magnetic Resonance Imaging Radiomics-Based Machine Learning Prediction of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions.
Hectors SJ; Chen C; Chen J; Wang J; Gordon S; Yu M; Al Hussein Al Awamlh B; Sabuncu MR; Margolis DJA; Hu JC
J Magn Reson Imaging; 2021 Nov; 54(5):1466-1473. PubMed ID: 33970516
[TBL] [Abstract][Full Text] [Related]
9. MRI-Based Radiomics Signature for the Preoperative Prediction of Extracapsular Extension of Prostate Cancer.
Ma S; Xie H; Wang H; Han C; Yang J; Lin Z; Li Y; He Q; Wang R; Cui Y; Zhang X; Wang X
J Magn Reson Imaging; 2019 Dec; 50(6):1914-1925. PubMed ID: 31062459
[TBL] [Abstract][Full Text] [Related]
10. Value of MRI-based radiomics analysis for differentiation of benign and malignant epithelial neoplasms in the lacrimal gland: a retrospective study.
Guo J; Li Z; Qu X; Xian J
Acta Radiol; 2021 Jun; 62(6):743-751. PubMed ID: 32660315
[TBL] [Abstract][Full Text] [Related]
11. Discriminating malignant from benign testicular masses using machine-learning based radiomics signature of appearance diffusion coefficient maps: Comparing with conventional mean and minimum ADC values.
Fan C; Sun K; Min X; Cai W; Lv W; Ma X; Li Y; Chen C; Zhao P; Qiao J; Lu J; Guo Y; Xia L
Eur J Radiol; 2022 Mar; 148():110158. PubMed ID: 35066342
[TBL] [Abstract][Full Text] [Related]
12. Radiomics nomogram for differentiating between benign and malignant soft-tissue masses of the extremities.
Wang H; Nie P; Wang Y; Xu W; Duan S; Chen H; Hao D; Liu J
J Magn Reson Imaging; 2020 Jan; 51(1):155-163. PubMed ID: 31169956
[TBL] [Abstract][Full Text] [Related]
13. Using biparametric MRI radiomics signature to differentiate between benign and malignant prostate lesions.
Xu M; Fang M; Zou J; Yang S; Yu D; Zhong L; Hu C; Zang Y; Dong D; Tian J; Fang X
Eur J Radiol; 2019 May; 114():38-44. PubMed ID: 31005174
[TBL] [Abstract][Full Text] [Related]
14. Intravoxel incoherent motion (IVIM) 3 T MRI for orbital lesion characterization.
Lecler A; Duron L; Zmuda M; Zuber K; Bergès O; Putterman M; Savatovsky J; Fournier L
Eur Radiol; 2021 Jan; 31(1):14-23. PubMed ID: 32740820
[TBL] [Abstract][Full Text] [Related]
15. MRI-based radiomics model for distinguishing endometrial carcinoma from benign mimics: A multicenter study.
Chen X; Wang X; Gan M; Li L; Chen F; Pan J; Hou Z; Yan Z; Wang C
Eur J Radiol; 2022 Jan; 146():110072. PubMed ID: 34861530
[TBL] [Abstract][Full Text] [Related]
16. Multiparametric MRI and auto-fixed volume of interest-based radiomics signature for clinically significant peripheral zone prostate cancer.
Bleker J; Kwee TC; Dierckx RAJO; de Jong IJ; Huisman H; Yakar D
Eur Radiol; 2020 Mar; 30(3):1313-1324. PubMed ID: 31776744
[TBL] [Abstract][Full Text] [Related]
17. Magnetic resonance radiomic feature performance in pulmonary nodule classification and impact of segmentation variability on radiomics.
Koo CW; Kline TL; Yoon JH; Vercnocke AJ; Johnson MP; Suman G; Lu A; Larson NB
Br J Radiol; 2022 Dec; 95(1140):20220230. PubMed ID: 36367095
[TBL] [Abstract][Full Text] [Related]
18. Glioma grading prediction using multiparametric magnetic resonance imaging-based radiomics combined with proton magnetic resonance spectroscopy and diffusion tensor imaging.
Lin K; Cidan W; Qi Y; Wang X
Med Phys; 2022 Jul; 49(7):4419-4429. PubMed ID: 35366379
[TBL] [Abstract][Full Text] [Related]
19. Diagnostic Performance of Dynamic Contrast-Enhanced 3T MR Imaging for Characterization of Orbital Lesions: Validation in a Large Prospective Study.
O'Shaughnessy E; Cossec CL; Mambour N; Lecoeuvre A; Savatovsky J; Zmuda M; Duron L; Lecler A
AJNR Am J Neuroradiol; 2024 Mar; 45(3):342-350. PubMed ID: 38453407
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]