118 related articles for article (PubMed ID: 37023629)
1. A clinical-radiomics based nomogram to predict progressive intraparenchymal hemorrhage in mild to moderate traumatic injury patients.
Wei X; Tang X; You D; Ding E; Pan C
Eur J Radiol; 2023 Jun; 163():110785. PubMed ID: 37023629
[TBL] [Abstract][Full Text] [Related]
2. Development and validation of a machine learning-derived radiomics model for diagnosis of osteoporosis and osteopenia using quantitative computed tomography.
Xie Q; Chen Y; Hu Y; Zeng F; Wang P; Xu L; Wu J; Li J; Zhu J; Xiang M; Zeng F
BMC Med Imaging; 2022 Aug; 22(1):140. PubMed ID: 35941568
[TBL] [Abstract][Full Text] [Related]
3. A Nomogram Based on CT Radiomics and Clinical Risk Factors for Prediction of Prognosis of Hypertensive Intracerebral Hemorrhage.
Fang C; An X; Li K; Zhang J; Shang H; Jiao T; Zeng Q
Comput Intell Neurosci; 2022; 2022():9751988. PubMed ID: 36531926
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Prediction of response to neoadjuvant chemotherapy in advanced gastric cancer: A radiomics nomogram analysis based on CT images and clinicopathological features.
Tan X; Yang X; Hu S; Ge Y; Wu Q; Wang J; Sun Z
J Xray Sci Technol; 2023; 31(1):49-61. PubMed ID: 36314190
[TBL] [Abstract][Full Text] [Related]
6. A clinical-radiomics nomogram may provide a personalized 90-day functional outcome assessment for spontaneous intracerebral hemorrhage.
Song Z; Tang Z; Liu H; Guo D; Cai J; Zhou Z
Eur Radiol; 2021 Jul; 31(7):4949-4959. PubMed ID: 33733691
[TBL] [Abstract][Full Text] [Related]
7. Radiomics Features on Computed Tomography Combined With Clinical-Radiological Factors Predicting Progressive Hemorrhage of Cerebral Contusion.
Yang Q; Sun J; Guo Y; Zeng P; Jin K; Huang C; Xu J; Hou L; Li C; Feng J
Front Neurol; 2022; 13():839784. PubMed ID: 35775053
[TBL] [Abstract][Full Text] [Related]
8. [Radiomics nomogram of MR: a prediction of cervical lymph node metastasis in laryngeal cancer].
Jia CL; Cao Y; Song Q; Zhang WB; Li JJ; Wu XX; Yu PY; Mou YK; Mao N; Song XC
Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi; 2020 Dec; 55(12):1154-1161. PubMed ID: 33342131
[No Abstract] [Full Text] [Related]
9. [Prediction of platinum-based chemotherapy sensitivity for epithelial ovarian cancer by multi-sequence MRI-based radiomic nomogram].
Mao MM; Li HM; Shi J; Qiu QS; Feng F
Zhonghua Yi Xue Za Zhi; 2022 Jan; 102(3):201-208. PubMed ID: 35042289
[No Abstract] [Full Text] [Related]
10. MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma.
Hou J; Li H; Zeng B; Pang P; Ai Z; Li F; Lu Q; Yu X
Eur Radiol; 2022 Feb; 32(2):1106-1114. PubMed ID: 34467454
[TBL] [Abstract][Full Text] [Related]
11. A Radiomics Nomogram for Classifying Hematoma Entities in Acute Spontaneous Intracerebral Hemorrhage on Non-contrast-Enhanced Computed Tomography.
Wang J; Xiong X; Ye J; Yang Y; He J; Liu J; Yin YL
Front Neurosci; 2022; 16():837041. PubMed ID: 35757547
[TBL] [Abstract][Full Text] [Related]
12. Diagnostic accuracy of ultrasound-based multimodal radiomics modeling for fibrosis detection in chronic kidney disease.
Ge XY; Lan ZK; Lan QQ; Lin HS; Wang GD; Chen J
Eur Radiol; 2023 Apr; 33(4):2386-2398. PubMed ID: 36454259
[TBL] [Abstract][Full Text] [Related]
13. Preoperative contrast-enhanced computed tomography-based radiomics model for overall survival prediction in hepatocellular carcinoma.
Deng PZ; Zhao BG; Huang XH; Xu TF; Chen ZJ; Wei QF; Liu XY; Guo YQ; Yuan SG; Liao WJ
World J Gastroenterol; 2022 Aug; 28(31):4376-4389. PubMed ID: 36159012
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. A radiomics nomogram analysis based on CT images and clinical features for preoperative Lauren classification in gastric cancer.
Nie T; Liu D; Ai S; He Y; Yang M; Chen J; Yuan Z; Liu Y
Jpn J Radiol; 2023 Apr; 41(4):401-408. PubMed ID: 36370327
[TBL] [Abstract][Full Text] [Related]
16. Clinical-radiomics nomogram for predicting esophagogastric variceal bleeding risk noninvasively in patients with cirrhosis.
Luo R; Gao J; Gan W; Xie WB
World J Gastroenterol; 2023 Feb; 29(6):1076-1089. PubMed ID: 36844133
[TBL] [Abstract][Full Text] [Related]
17. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Integrative nomogram of intratumoral, peritumoral, and lymph node radiomic features for prediction of lymph node metastasis in cT1N0M0 lung adenocarcinomas.
Das SK; Fang KW; Xu L; Li B; Zhang X; Yang HF
Sci Rep; 2021 May; 11(1):10829. PubMed ID: 34031529
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
