230 related articles for article (PubMed ID: 38508934)
1. Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study.
Yimit Y; Yasin P; Tuersun A; Wang J; Wang X; Huang C; Abudoubari S; Chen X; Ibrahim I; Nijiati P; Wang Y; Zou X; Nijiati M
Acad Radiol; 2024 Mar; ():. PubMed ID: 38508934
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Radiomics Analysis of Multiparametric MRI for Prediction of Synchronous Lung Metastases in Osteosarcoma.
Luo Z; Li J; Liao Y; Liu R; Shen X; Chen W
Front Oncol; 2022; 12():802234. PubMed ID: 35273911
[TBL] [Abstract][Full Text] [Related]
4. Multiparametric MRI-based radiomics model for predicting human papillomavirus status in oropharyngeal squamous cell carcinoma: optimization using oversampling and machine learning techniques.
Sim Y; Kim M; Kim J; Lee SK; Han K; Sohn B
Eur Radiol; 2023 Oct; ():. PubMed ID: 37848774
[TBL] [Abstract][Full Text] [Related]
5. Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter study.
Li Z; Zhang J; Zhong Q; Feng Z; Shi Y; Xu L; Zhang R; Yu F; Lv B; Yang T; Huang C; Cui F; Chen F
Eur Radiol; 2023 Mar; 33(3):1835-1843. PubMed ID: 36282309
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Radiomics analysis of T1WI and T2WI magnetic resonance images to differentiate between IgG4-related ophthalmic disease and orbital MALT lymphoma.
Shao Y; Chen Y; Chen S; Wei R
BMC Ophthalmol; 2023 Jun; 23(1):288. PubMed ID: 37353736
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Magnetic resonance imaging based on radiomics for differentiating T1-category nasopharyngeal carcinoma from nasopharyngeal lymphoid hyperplasia: a multicenter study.
Cheng J; Su W; Wang Y; Zhan Y; Wang Y; Yan S; Yuan Y; Chen L; Wei Z; Zhang S; Gao X; Tang Z
Jpn J Radiol; 2024 Feb; ():. PubMed ID: 38409300
[TBL] [Abstract][Full Text] [Related]
11. Prediction of carcinogenic human papillomavirus types in cervical cancer from multiparametric magnetic resonance images with machine learning-based radiomics models.
İnce O; Uysal E; Durak G; Önol S; Dönmez Yılmaz B; Ertürk ŞM; Önder H
Diagn Interv Radiol; 2023 May; 29(3):460-468. PubMed ID: 36994859
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. Prediction of Tumor Shrinkage Pattern to Neoadjuvant Chemotherapy Using a Multiparametric MRI-Based Machine Learning Model in Patients With Breast Cancer.
Huang Y; Chen W; Zhang X; He S; Shao N; Shi H; Lin Z; Wu X; Li T; Lin H; Lin Y
Front Bioeng Biotechnol; 2021; 9():662749. PubMed ID: 34295877
[No Abstract] [Full Text] [Related]
16. Multiparametric MRI-Based Radiomics Signature with Machine Learning for Preoperative Prediction of Prognosis Stratification in Pediatric Medulloblastoma.
Luo Y; Zhuang Y; Zhang S; Wang J; Teng S; Zeng H
Acad Radiol; 2024 Apr; 31(4):1629-1642. PubMed ID: 37643930
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Application and Clinical Value of Machine Learning-Based Cervical Cancer Diagnosis and Prediction Model in Adjuvant Chemotherapy for Cervical Cancer: A Single-Center, Controlled, Non-Arbitrary Size Case-Control Study.
Wang Y; Shen L; Jin J; Wang G
Contrast Media Mol Imaging; 2022; 2022():2432291. PubMed ID: 35821886
[TBL] [Abstract][Full Text] [Related]
19. MRI radiomics-based machine learning model integrated with clinic-radiological features for preoperative differentiation of sinonasal inverted papilloma and malignant sinonasal tumors.
Gu J; Yu Q; Li Q; Peng J; Lv F; Gong B; Zhang X
Front Oncol; 2022; 12():1003639. PubMed ID: 36212455
[TBL] [Abstract][Full Text] [Related]
20. Preoperative Extrapancreatic Extension Prediction in Patients with Pancreatic Cancer Using Multiparameter MRI and Machine Learning-Based Radiomics Model.
Xie N; Fan X; Xie H; Lu J; Yu L; Liu H; Wang H; Yin X; Li B
Acad Radiol; 2023 Jul; 30(7):1306-1316. PubMed ID: 36244870
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
