168 related articles for article (PubMed ID: 36959569)
1. Clinical-radiomics models based on plain X-rays for prediction of lung metastasis in patients with osteosarcoma.
Yin P; Zhong J; Liu Y; Liu T; Sun C; Liu X; Cui J; Chen L; Hong N
BMC Med Imaging; 2023 Mar; 23(1):40. PubMed ID: 36959569
[TBL] [Abstract][Full Text] [Related]
2. [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]
3. 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]
4. Machine and Deep Learning Based Radiomics Models for Preoperative Prediction of Benign and Malignant Sacral Tumors.
Yin P; Mao N; Chen H; Sun C; Wang S; Liu X; Hong N
Front Oncol; 2020; 10():564725. PubMed ID: 33178593
[TBL] [Abstract][Full Text] [Related]
5. An External-Validated Prediction Model to Predict Lung Metastasis among Osteosarcoma: A Multicenter Analysis Based on Machine Learning.
Li W; Liu W; Hussain Memon F; Wang B; Xu C; Dong S; Wang H; Hu Z; Quan X; Deng Y; Liu Q; Su S; Yin C
Comput Intell Neurosci; 2022; 2022():2220527. PubMed ID: 35571720
[TBL] [Abstract][Full Text] [Related]
6. External validation and comparison of MR-based radiomics models for predicting pathological complete response in locally advanced rectal cancer: a two-centre, multi-vendor study.
Wei Q; Chen Z; Tang Y; Chen W; Zhong L; Mao L; Hu S; Wu Y; Deng K; Yang W; Liu X
Eur Radiol; 2023 Mar; 33(3):1906-1917. PubMed ID: 36355199
[TBL] [Abstract][Full Text] [Related]
7. Differentiation of Lung Metastases Originated From Different Primary Tumors Using Radiomics Features Based on CT Imaging.
Shang H; Li J; Jiao T; Fang C; Li K; Yin D; Zeng Q
Acad Radiol; 2023 Jan; 30(1):40-46. PubMed ID: 35577699
[TBL] [Abstract][Full Text] [Related]
8. The value of a dual-energy CT Iodine map radiomics model for the prediction of collagen fiber content in the ccRCC tumor microenvironment.
Li Z; Wang N; Bing X; Li Y; Yao J; Li R; Ouyang A
BMC Med Imaging; 2023 Nov; 23(1):186. PubMed ID: 37968599
[TBL] [Abstract][Full Text] [Related]
9. Potential of radiomics analysis and machine learning for predicting brain metastasis in newly diagnosed lung cancer patients.
Yichu S; Fei L; Ying L; Youyou X
Clin Radiol; 2024 Jun; 79(6):e807-e816. PubMed ID: 38395696
[TBL] [Abstract][Full Text] [Related]
10. MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study.
Chen H; Zhang X; Wang X; Quan X; Deng Y; Lu M; Wei Q; Ye Q; Zhou Q; Xiang Z; Liang C; Yang W; Zhao Y
Eur Radiol; 2021 Oct; 31(10):7913-7924. PubMed ID: 33825032
[TBL] [Abstract][Full Text] [Related]
11. Nomogram model based on radiomics signatures and age to assist in the diagnosis of knee osteoarthritis.
Li W; Feng J; Zhu D; Xiao Z; Liu J; Fang Y; Yao L; Qian B; Li S
Exp Gerontol; 2023 Jan; 171():112031. PubMed ID: 36402414
[TBL] [Abstract][Full Text] [Related]
12. Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorization.
Dong W; Xiong S; Lei P; Wang X; Liu H; Liu Y; Zou H; Fan B; Qiu Y
Front Oncol; 2022; 12():944005. PubMed ID: 36081562
[TBL] [Abstract][Full Text] [Related]
13. Deep Learning Radiomics Nomogram to Predict Lung Metastasis in Soft-Tissue Sarcoma: A Multi-Center Study.
Liang HY; Yang SF; Zou HM; Hou F; Duan LS; Huang CC; Xu JX; Liu SL; Hao DP; Wang HX
Front Oncol; 2022; 12():897676. PubMed ID: 35814362
[TBL] [Abstract][Full Text] [Related]
14. Computed tomography-based radiomics machine learning classifiers to differentiate type I and type II epithelial ovarian cancers.
Li J; Li X; Ma J; Wang F; Cui S; Ye Z
Eur Radiol; 2023 Jul; 33(7):5193-5204. PubMed ID: 36515713
[TBL] [Abstract][Full Text] [Related]
15. Application of interpretable machine learning algorithms to predict distant metastasis in osteosarcoma.
Bai BL; Wu ZY; Weng SJ; Yang Q
Cancer Med; 2023 Feb; 12(4):5025-5034. PubMed ID: 36082478
[TBL] [Abstract][Full Text] [Related]
16. Machine Learning-Based Radiomics Nomogram With Dynamic Contrast-Enhanced MRI of the Osteosarcoma for Evaluation of Efficacy of Neoadjuvant Chemotherapy.
Zhang L; Ge Y; Gao Q; Zhao F; Cheng T; Li H; Xia Y
Front Oncol; 2021; 11():758921. PubMed ID: 34868973
[TBL] [Abstract][Full Text] [Related]
17. Prediction of lung metastases in thyroid cancer using machine learning based on SEER database.
Liu W; Wang S; Ye Z; Xu P; Xia X; Guo M
Cancer Med; 2022 Jun; 11(12):2503-2515. PubMed ID: 35191613
[TBL] [Abstract][Full Text] [Related]
18. Value of CT-based radiomics in evaluating the response of bone metastases to systemic drug therapy in breast cancer patients.
He M; Wang D; Li H; Sun M; Yan P; Zhang Y; Li L; Yu D; Wang X; Hu Y
Thorac Cancer; 2024 Feb; 15(5):361-368. PubMed ID: 38155425
[TBL] [Abstract][Full Text] [Related]
19. Use of radiomics based on
Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
[TBL] [Abstract][Full Text] [Related]
20. Hybrid model of CT-fractional flow reserve, pericoronary fat attenuation index and radiomics for predicting the progression of WMH: a dual-center pilot study.
Hou J; Jin H; Zhang Y; Xu Y; Cui F; Qin X; Han L; Yuan Z; Zheng G; Peng J; Shu Z; Gong X
Front Cardiovasc Med; 2023; 10():1282768. PubMed ID: 38179506
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
