These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
261 related articles for article (PubMed ID: 32070870)
1. Using a single abdominal computed tomography image to differentiate five contrast-enhancement phases: A machine-learning algorithm for radiomics-based precision medicine. Dercle L; Ma J; Xie C; Chen AP; Wang D; Luk L; Revel-Mouroz P; Otal P; Peron JM; Rousseau H; Lu L; Schwartz LH; Mokrane FZ; Zhao B Eur J Radiol; 2020 Apr; 125():108850. PubMed ID: 32070870 [TBL] [Abstract][Full Text] [Related]
2. Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules. Mokrane FZ; Lu L; Vavasseur A; Otal P; Peron JM; Luk L; Yang H; Ammari S; Saenger Y; Rousseau H; Zhao B; Schwartz LH; Dercle L Eur Radiol; 2020 Jan; 30(1):558-570. PubMed ID: 31444598 [TBL] [Abstract][Full Text] [Related]
3. Differentiation of hepatic abscess from metastasis on contrast-enhanced dynamic computed tomography in patients with a history of extrahepatic malignancy: emphasis on dynamic change of arterial rim enhancement. Oh JG; Choi SY; Lee MH; Lee JE; Yi BH; Kim SS; Min JH; Lee B Abdom Radiol (NY); 2019 Feb; 44(2):529-538. PubMed ID: 30196363 [TBL] [Abstract][Full Text] [Related]
4. Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: A multi-institutional study. Ji GW; Zhu FP; Xu Q; Wang K; Wu MY; Tang WW; Li XC; Wang XH EBioMedicine; 2019 Dec; 50():156-165. PubMed ID: 31735556 [TBL] [Abstract][Full Text] [Related]
5. Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics. Mao B; Zhang L; Ning P; Ding F; Wu F; Lu G; Geng Y; Ma J Eur Radiol; 2020 Dec; 30(12):6924-6932. PubMed ID: 32696256 [TBL] [Abstract][Full Text] [Related]
6. Improving radiomics reproducibility using deep learning-based image conversion of CT reconstruction algorithms in hepatocellular carcinoma patients. Lee H; Chang W; Kim HY; Sung P; Cho J; Lee YJ; Kim YH Eur Radiol; 2024 Mar; 34(3):2036-2047. PubMed ID: 37656175 [TBL] [Abstract][Full Text] [Related]
7. Machine learning-based identification of contrast-enhancement phase of computed tomography scans. Guha S; Ibrahim A; Wu Q; Geng P; Chou Y; Yang H; Ma J; Lu L; Wang D; Schwartz LH; Xie CM; Zhao B PLoS One; 2024; 19(2):e0294581. PubMed ID: 38306329 [TBL] [Abstract][Full Text] [Related]
8. Automated Identification of Optimal Portal Venous Phase Timing with Convolutional Neural Networks. Ma J; Dercle L; Lichtenstein P; Wang D; Chen A; Zhu J; Piessevaux H; Zhao J; Schwartz LH; Lu L; Zhao B Acad Radiol; 2020 Feb; 27(2):e10-e18. PubMed ID: 31151901 [TBL] [Abstract][Full Text] [Related]
9. Analysis of Lipiodol uptake in angiography and computed tomography for the diagnosis of malignant versus benign hepatocellular nodules in cirrhotic liver. Langenbach MC; Vogl TJ; von den Driesch I; Kaltenbach B; Scholtz JE; Hammerstingl RM; Gruber-Rouh T Eur Radiol; 2019 Dec; 29(12):6539-6549. PubMed ID: 31236701 [TBL] [Abstract][Full Text] [Related]
10. Cirrhotic liver enhancement on dual-phase helical CT: comparison with noncirrhotic livers in 146 patients. Vignaux O; Legmann P; Coste J; Hoeffel C; Bonnin A AJR Am J Roentgenol; 1999 Nov; 173(5):1193-7. PubMed ID: 10541087 [TBL] [Abstract][Full Text] [Related]
11. Classification of hypervascular liver lesions based on hepatic artery and portal vein blood supply coefficients calculated from triphasic CT scans. Boas FE; Kamaya A; Do B; Desser TS; Beaulieu CF; Vasanawala SS; Hwang GL; Sze DY J Digit Imaging; 2015 Apr; 28(2):213-23. PubMed ID: 25183580 [TBL] [Abstract][Full Text] [Related]
12. Machine learning-based radiomics analysis of preoperative functional liver reserve with MRI and CT image. Zhu L; Wang F; Chen X; Dong Q; Xia N; Chen J; Li Z; Zhu C BMC Med Imaging; 2023 Jul; 23(1):94. PubMed ID: 37460944 [TBL] [Abstract][Full Text] [Related]
13. Image quality of mean temporal arterial and mean temporal portal venous phase images calculated from low dose dynamic volume perfusion CT datasets in patients with hepatocellular carcinoma and pancreatic cancer. Wang X; Henzler T; Gawlitza J; Diehl S; Wilhelm T; Schoenberg SO; Jin ZY; Xue HD; Smakic A Eur J Radiol; 2016 Nov; 85(11):2104-2110. PubMed ID: 27776665 [TBL] [Abstract][Full Text] [Related]
15. Dynamic CT for detecting small hepatocellular carcinoma: usefulness of delayed phase imaging. Monzawa S; Ichikawa T; Nakajima H; Kitanaka Y; Omata K; Araki T AJR Am J Roentgenol; 2007 Jan; 188(1):147-53. PubMed ID: 17179357 [TBL] [Abstract][Full Text] [Related]
16. Automated abdominal CT contrast phase detection using an interpretable and open-source artificial intelligence algorithm. Reis EP; Blankemeier L; Zambrano Chaves JM; Jensen MEK; Yao S; Truyts CAM; Willis MH; Adams S; Amaro E; Boutin RD; Chaudhari AS Eur Radiol; 2024 Oct; 34(10):6680-6687. PubMed ID: 38683384 [TBL] [Abstract][Full Text] [Related]
17. [Value of spectral CT-based quantitative analysis in differential diagnosis of liver cancer and liver abscess]. Gao HQ; Hu CH; Yu YX; Hu S; Shi C; Wang XM; Guo L Zhonghua Gan Zang Bing Za Zhi; 2016 Sep; 24(9):676-680. PubMed ID: 27788724 [No Abstract] [Full Text] [Related]
18. CT-based radiomics model to distinguish necrotic hepatocellular carcinoma from pyogenic liver abscess. Hu MJ; Yu YX; Fan YF; Hu CH Clin Radiol; 2021 Feb; 76(2):161.e11-161.e17. PubMed ID: 33267948 [TBL] [Abstract][Full Text] [Related]
19. Iodine material density images in dual-energy CT: quantification of contrast uptake and washout in HCC. Pfeiffer D; Parakh A; Patino M; Kambadakone A; Rummeny EJ; Sahani DV Abdom Radiol (NY); 2018 Dec; 43(12):3317-3323. PubMed ID: 29774382 [TBL] [Abstract][Full Text] [Related]
20. Comparison of Conventional Gadoxetate Disodium-Enhanced MRI Features and Radiomics Signatures With Machine Learning for Diagnosing Microvascular Invasion. Chen Y; Xia Y; Tolat PP; Long L; Jiang Z; Huang Z; Tang Q AJR Am J Roentgenol; 2021 Jun; 216(6):1510-1520. PubMed ID: 33826360 [No Abstract] [Full Text] [Related] [Next] [New Search]