271 related articles for article (PubMed ID: 35804973)
1. Machine Learning Based on MRI DWI Radiomics Features for Prognostic Prediction in Nasopharyngeal Carcinoma.
Hu Q; Wang G; Song X; Wan J; Li M; Zhang F; Chen Q; Cao X; Li S; Wang Y
Cancers (Basel); 2022 Jun; 14(13):. PubMed ID: 35804973
[TBL] [Abstract][Full Text] [Related]
2. The application of radiomics machine learning models based on multimodal MRI with different sequence combinations in predicting cervical lymph node metastasis in oral tongue squamous cell carcinoma patients.
Liu S; Zhang A; Xiong J; Su X; Zhou Y; Li Y; Zhang Z; Li Z; Liu F
Head Neck; 2024 Mar; 46(3):513-527. PubMed ID: 38108536
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. [Application of MRI-based Radiomics Models in the Assessment of Hepatic Metastasis of Rectal Cancer].
Hu SX; Yang K; Wang XR; Wen DG; Xia CC; Li X; Li ZL
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Mar; 52(2):311-318. PubMed ID: 33829708
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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; 2024 May; 34(5):3102-3112. PubMed ID: 37848774
[TBL] [Abstract][Full Text] [Related]
7. Development and Validation of a Model Using Radiomics Features from an Apparent Diffusion Coefficient Map to Diagnose Local Tumor Recurrence in Patients Treated for Head and Neck Squamous Cell Carcinoma.
Kim M; Lee JH; Joo L; Jeong B; Kim S; Ham S; Yun J; Kim N; Chung SR; Choi YJ; Baek JH; Lee JY; Kim JH
Korean J Radiol; 2022 Nov; 23(11):1078-1088. PubMed ID: 36126954
[TBL] [Abstract][Full Text] [Related]
8. Pretreatment MR imaging radiomics signatures for response prediction to induction chemotherapy in patients with nasopharyngeal carcinoma.
Wang G; He L; Yuan C; Huang Y; Liu Z; Liang C
Eur J Radiol; 2018 Jan; 98():100-106. PubMed ID: 29279146
[TBL] [Abstract][Full Text] [Related]
9. [Application of Automated Machine Learning Based on Radiomics Features of T2WI and RS-EPI DWI to Predict Preoperative T Staging of Rectal Cancer].
Wen DG; Hu SX; Li ZL; Deng XB; Tian C; Li X; Wang XR; Leng Q; Xia CC
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Jul; 52(4):698-705. PubMed ID: 34323052
[TBL] [Abstract][Full Text] [Related]
10. An Integrated Radiomics Model Incorporating Diffusion-Weighted Imaging and
Zhang L; Yao R; Gao J; Tan D; Yang X; Wen M; Wang J; Xie X; Liao R; Tang Y; Chen S; Li Y
Front Oncol; 2021; 11():732704. PubMed ID: 34527594
[TBL] [Abstract][Full Text] [Related]
11. [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]
12. Clinical Breast MRI-based Radiomics for Distinguishing Benign and Malignant Lesions: An Analysis of Sequences and Enhanced Phases.
Wang G; Guo Q; Shi D; Zhai H; Luo W; Zhang H; Ren Z; Yan G; Ren K
J Magn Reson Imaging; 2023 Nov; ():. PubMed ID: 38006286
[TBL] [Abstract][Full Text] [Related]
13. Preoperative Cervical Lymph Node Metastasis Prediction in Papillary Thyroid Carcinoma: A Noninvasive Clinical Multimodal Radiomics (CMR) Nomogram Analysis.
Hu W; Zhuang Y; Tang L; Chen H; Wang H; Wei R; Wang L; Ding Y; Xie X; Ge Y; Wu PY; Song B
J Oncol; 2023; 2023():3270137. PubMed ID: 36936372
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Neuroprotective effect of agmatine in rats with transient cerebral ischemia using MR imaging and histopathologic evaluation.
Huang YC; Tzeng WS; Wang CC; Cheng BC; Chang YK; Chen HH; Lin PC; Huang TY; Chuang TJ; Lin JW; Chang CP
Magn Reson Imaging; 2013 Sep; 31(7):1174-81. PubMed ID: 23642800
[TBL] [Abstract][Full Text] [Related]
16. Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.
Tang Y; Yang CM; Su S; Wang WJ; Fan LP; Shu J
BMC Cancer; 2021 Nov; 21(1):1268. PubMed ID: 34819043
[TBL] [Abstract][Full Text] [Related]
17. A combinatorial MRI sequence-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer.
Xing X; Li D; Peng J; Shu Z; Zhang Y; Song Q
Sci Rep; 2024 May; 14(1):11760. PubMed ID: 38783014
[TBL] [Abstract][Full Text] [Related]
18. Advanced zoomed diffusion-weighted imaging vs. full-field-of-view diffusion-weighted imaging in prostate cancer detection: a radiomic features study.
Hu L; Zhou DW; Fu CX; Benkert T; Jiang CY; Li RT; Wei LM; Zhao JG
Eur Radiol; 2021 Mar; 31(3):1760-1769. PubMed ID: 32935192
[TBL] [Abstract][Full Text] [Related]
19. Experimental study of inflammatory and metastatic lymph nodes with diffusion weighted imaging on animal model: comparison with conventional methods.
Xue HD; Li S; Sun HY; Jin ZY; Sun F
Chin Med Sci J; 2008 Sep; 23(3):166-71. PubMed ID: 18853852
[TBL] [Abstract][Full Text] [Related]
20. Applying multisequence MRI radiomics of the primary tumor and lymph node to predict HPV-related p16 status in patients with oropharyngeal squamous cell carcinoma.
Li Q; Xu T; Gong J; Xiang S; Shen C; Zhou X; Hu C; Wu B; Lu X
Quant Imaging Med Surg; 2023 Apr; 13(4):2234-2247. PubMed ID: 37064405
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
