137 related articles for article (PubMed ID: 36960545)
1. Chest computed tomography radiomics to predict the outcome for patients with COVID-19 at an early stage.
Wu S; Zhang R; Wan X; Yao T; Zhang Q; Chen X; Fan X
Diagn Interv Radiol; 2023 Jan; 29(1):91-102. PubMed ID: 36960545
[TBL] [Abstract][Full Text] [Related]
2. Initial CT-based radiomics nomogram for predicting in-hospital mortality in patients with traumatic brain injury: a multicenter development and validation study.
Zheng RZ; Zhao ZJ; Yang XT; Jiang SW; Li YD; Li WJ; Li XH; Zhou Y; Gao CJ; Ma YB; Pan SM; Wang Y
Neurol Sci; 2022 Jul; 43(7):4363-4372. PubMed ID: 35199252
[TBL] [Abstract][Full Text] [Related]
3. Development and multicenter validation of a CT-based radiomics signature for predicting severe COVID-19 pneumonia.
Li L; Wang L; Zeng F; Peng G; Ke Z; Liu H; Zha Y
Eur Radiol; 2021 Oct; 31(10):7901-7912. PubMed ID: 33786655
[TBL] [Abstract][Full Text] [Related]
4. Radiomics nomogram for the prediction of 2019 novel coronavirus pneumonia caused by SARS-CoV-2.
Fang X; Li X; Bian Y; Ji X; Lu J
Eur Radiol; 2020 Dec; 30(12):6888-6901. PubMed ID: 32621237
[TBL] [Abstract][Full Text] [Related]
5. A novel CT-based radiomics in the distinction of severity of coronavirus disease 2019 (COVID-19) pneumonia.
Xie Z; Sun H; Wang J; Xu H; Li S; Zhao C; Gao Y; Wang X; Zhao T; Duan S; Hu C; Ao W
BMC Infect Dis; 2021 Jun; 21(1):608. PubMed ID: 34171991
[TBL] [Abstract][Full Text] [Related]
6. A Quantitative and Radiomics approach to monitoring ARDS in COVID-19 patients based on chest CT: a retrospective cohort study.
Chen Y; Wang Y; Zhang Y; Zhang N; Zhao S; Zeng H; Deng W; Huang Z; Liu S; Song B
Int J Med Sci; 2020; 17(12):1773-1782. PubMed ID: 32714080
[No Abstract] [Full Text] [Related]
7. A CT-based radiomics nomogram for predicting prognosis of coronavirus disease 2019 (COVID-19) radiomics nomogram predicting COVID-19.
Chen H; Zeng M; Wang X; Su L; Xia Y; Yang Q; Liu D
Br J Radiol; 2021 Jan; 94(1117):20200634. PubMed ID: 33296222
[TBL] [Abstract][Full Text] [Related]
8. Prediction of potential severe coronavirus disease 2019 patients based on CT radiomics: A retrospective study.
Xiao F; Sun R; Sun W; Xu D; Lan L; Li H; Liu H; Xu H
Med Phys; 2022 Sep; 49(9):5886-5898. PubMed ID: 35837868
[TBL] [Abstract][Full Text] [Related]
9. CT-based radiomic nomogram for predicting the severity of patients with COVID-19.
Shi H; Xu Z; Cheng G; Ji H; He L; Zhu J; Hu H; Xie Z; Ao W; Wang J
Eur J Med Res; 2022 Jan; 27(1):13. PubMed ID: 35078525
[TBL] [Abstract][Full Text] [Related]
10. Personalized CT-based radiomics nomogram preoperative predicting Ki-67 expression in gastrointestinal stromal tumors: a multicenter development and validation cohort.
Zhang QW; Gao YJ; Zhang RY; Zhou XX; Chen SL; Zhang Y; Liu Q; Xu JR; Ge ZZ
Clin Transl Med; 2020 Jan; 9(1):12. PubMed ID: 32006200
[TBL] [Abstract][Full Text] [Related]
11. Preoperative prediction for lauren type of gastric cancer: A radiomics nomogram analysis based on CT images and clinical features.
Sun Z; Jin L; Zhang S; Duan S; Xing W; Hu S
J Xray Sci Technol; 2021; 29(4):675-686. PubMed ID: 34024809
[TBL] [Abstract][Full Text] [Related]
12. Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19.
Wu Q; Wang S; Li L; Wu Q; Qian W; Hu Y; Li L; Zhou X; Ma H; Li H; Wang M; Qiu X; Zha Y; Tian J
Theranostics; 2020; 10(16):7231-7244. PubMed ID: 32641989
[No Abstract] [Full Text] [Related]
13. Radiomics analysis enables fatal outcome prediction for hospitalized patients with coronavirus disease 2019 (COVID-19).
Ke Z; Li L; Wang L; Liu H; Lu X; Zeng F; Zha Y
Acta Radiol; 2022 Mar; 63(3):319-327. PubMed ID: 33601893
[TBL] [Abstract][Full Text] [Related]
14. Preoperative computed tomography-guided disease-free survival prediction in gastric cancer: a multicenter radiomics study.
Wang S; Feng C; Dong D; Li H; Zhou J; Ye Y; Liu Z; Tian J; Wang Y
Med Phys; 2020 Oct; 47(10):4862-4871. PubMed ID: 32592224
[TBL] [Abstract][Full Text] [Related]
15. A contrast-enhanced CT-based whole-spleen radiomics signature for early prediction of oxaliplatin-related thrombocytopenia in patients with gastrointestinal malignancies: a retrospective study.
Dai Y; Cheng Y; Zhou Z; Li Z; Luo Y; Qiu H
PeerJ; 2023; 11():e16230. PubMed ID: 37849829
[TBL] [Abstract][Full Text] [Related]
16. A Comprehensive Nomogram Combining CT Imaging with Clinical Features for Prediction of Lymph Node Metastasis in Stage I-IIIB Non-small Cell Lung Cancer.
Zheng X; Shao J; Zhou L; Wang L; Ge Y; Wang G; Feng F
Ther Innov Regul Sci; 2022 Jan; 56(1):155-167. PubMed ID: 34699046
[TBL] [Abstract][Full Text] [Related]
17. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
Yu Y; Tan Y; Xie C; Hu Q; Ouyang J; Chen Y; Gu Y; Li A; Lu N; He Z; Yang Y; Chen K; Ma J; Li C; Ma M; Li X; Zhang R; Zhong H; Ou Q; Zhang Y; He Y; Li G; Wu Z; Su F; Song E; Yao H
JAMA Netw Open; 2020 Dec; 3(12):e2028086. PubMed ID: 33289845
[TBL] [Abstract][Full Text] [Related]
18. Development of a computed tomography-based radiomics nomogram for prediction of transarterial chemoembolization refractoriness in hepatocellular carcinoma.
Niu XK; He XF
World J Gastroenterol; 2021 Jan; 27(2):189-207. PubMed ID: 33510559
[TBL] [Abstract][Full Text] [Related]
19. Intratumoral and peritumoral radiomics analysis for preoperative Lauren classification in gastric cancer.
Wang XX; Ding Y; Wang SW; Dong D; Li HL; Chen J; Hu H; Lu C; Tian J; Shan XH
Cancer Imaging; 2020 Nov; 20(1):83. PubMed ID: 33228815
[TBL] [Abstract][Full Text] [Related]
20. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
