916 related articles for article (PubMed ID: 33447862)
1. Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.
Mao B; Ma J; Duan S; Xia Y; Tao Y; Zhang L
Eur Radiol; 2021 Jul; 31(7):4576-4586. PubMed ID: 33447862
[TBL] [Abstract][Full Text] [Related]
2. Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics.
Zhuo M; Tang Y; Guo J; Qian Q; Xue E; Chen Z
J Med Ultrason (2001); 2024 Jan; 51(1):71-82. PubMed ID: 37798591
[TBL] [Abstract][Full Text] [Related]
3. Machine learning for differentiation of lipid-poor adrenal adenoma and subclinical pheochromocytoma based on multiphase CT imaging radiomics.
Xiao DX; Zhong JP; Peng JD; Fan CG; Wang XC; Wen XL; Liao WW; Wang J; Yin XF
BMC Med Imaging; 2023 Oct; 23(1):159. PubMed ID: 37845636
[TBL] [Abstract][Full Text] [Related]
4. Ultrasound-Based Radiomics for the Classification of Henoch-Schönlein Purpura Nephritis in Children.
Chen J; Wen Z; Yang X; Jia J; Zhang X; Pian L; Zhao P
Ultrason Imaging; 2024 Mar; 46(2):110-120. PubMed ID: 38140769
[TBL] [Abstract][Full Text] [Related]
5. Machine learning model based on enhanced CT radiomics for the preoperative prediction of lymphovascular invasion in esophageal squamous cell carcinoma.
Wang Y; Bai G; Huang M; Chen W
Front Oncol; 2024; 14():1308317. PubMed ID: 38549935
[TBL] [Abstract][Full Text] [Related]
6. Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.
Mao B; Zhang L; Ning P; Ding F; Wu F; Lu G; Geng Y; Ma J
Eur Radiol; 2020 Dec; 30(12):6924-6932. PubMed ID: 32696256
[TBL] [Abstract][Full Text] [Related]
7. [Evaluation of extravascular lung water index in critically ill patients based on lung ultrasound radiomics analysis combined with machine learning].
Meng W; Zhang C; Hu J; Tang Z
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Oct; 35(10):1074-1079. PubMed ID: 37873713
[TBL] [Abstract][Full Text] [Related]
8. Endorectal ultrasound radiomics in locally advanced rectal cancer patients: despeckling and radiotherapy response prediction using machine learning.
Abbaspour S; Abdollahi H; Arabalibeik H; Barahman M; Arefpour AM; Fadavi P; Ay M; Mahdavi SR
Abdom Radiol (NY); 2022 Nov; 47(11):3645-3659. PubMed ID: 35951085
[TBL] [Abstract][Full Text] [Related]
9. Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy.
Zhang L; Chen Z; Feng L; Guo L; Liu D; Hai J; Qiao K; Chen J; Yan B; Cheng G
BMC Med Imaging; 2021 Jul; 21(1):115. PubMed ID: 34301205
[TBL] [Abstract][Full Text] [Related]
10. Introducing radiomics model to predict active plaque in multiple sclerosis patients using magnetic resonance images.
Khajetash B; Talebi A; Bagherpour Z; Abbaspour S; Tavakoli M
Biomed Phys Eng Express; 2023 Jul; 9(5):. PubMed ID: 37379814
[TBL] [Abstract][Full Text] [Related]
11. Epithelial salivary gland tumors: Utility of radiomics analysis based on diffusion-weighted imaging for differentiation of benign from malignant tumors.
Shao S; Mao N; Liu W; Cui J; Xue X; Cheng J; Zheng N; Wang B
J Xray Sci Technol; 2020; 28(4):799-808. PubMed ID: 32538891
[TBL] [Abstract][Full Text] [Related]
12. MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features.
Ma X; Shen F; Jia Y; Xia Y; Li Q; Lu J
BMC Med Imaging; 2019 Nov; 19(1):86. PubMed ID: 31747902
[TBL] [Abstract][Full Text] [Related]
13. Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features.
Yin P; Mao N; Zhao C; Wu J; Sun C; Chen L; Hong N
Eur Radiol; 2019 Apr; 29(4):1841-1847. PubMed ID: 30280245
[TBL] [Abstract][Full Text] [Related]
14. Development and Validation of a Magnetic Resonance Imaging-Based Machine Learning Model for TMJ Pathologies.
Orhan K; Driesen L; Shujaat S; Jacobs R; Chai X
Biomed Res Int; 2021; 2021():6656773. PubMed ID: 34327235
[TBL] [Abstract][Full Text] [Related]
15. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study.
Abbaspour S; Barahman M; Abdollahi H; Arabalibeik H; Hajainfar G; Babaei M; Iraji H; Barzegartahamtan M; Ay MR; Mahdavi SR
Biomed Phys Eng Express; 2023 Dec; 10(1):. PubMed ID: 37995359
[No Abstract] [Full Text] [Related]
16. Predicting Histopathological Grading of Adult Gliomas Based On Preoperative Conventional Multimodal MRI Radiomics: A Machine Learning Model.
Du P; Liu X; Wu X; Chen J; Cao A; Geng D
Brain Sci; 2023 Jun; 13(6):. PubMed ID: 37371390
[TBL] [Abstract][Full Text] [Related]
17. Comparative analysis of machine learning-based ultrasound radiomics in predicting malignancy of partially cystic thyroid nodules.
Zhou T; Hu T; Ni Z; Yao C; Xie Y; Jin H; Luo D; Huang H
Endocrine; 2024 Jan; 83(1):118-126. PubMed ID: 37542676
[TBL] [Abstract][Full Text] [Related]
18. Prediction of Clinical Outcome for High-Intensity Focused Ultrasound Ablation of Uterine Leiomyomas Using Multiparametric MRI Radiomics-Based Machine Leaning Model.
Zheng Y; Chen L; Liu M; Wu J; Yu R; Lv F
Front Oncol; 2021; 11():618604. PubMed ID: 34567999
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]
