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.
171 related articles for article (PubMed ID: 35194737)
1. Non-invasive precise staging of liver fibrosis using deep residual network model based on plain CT images. Li Q; Kang H; Zhang R; Guo Q Int J Comput Assist Radiol Surg; 2022 Apr; 17(4):627-637. PubMed ID: 35194737 [TBL] [Abstract][Full Text] [Related]
2. Deep residual nets model for staging liver fibrosis on plain CT images. Li Q; Yu B; Tian X; Cui X; Zhang R; Guo Q Int J Comput Assist Radiol Surg; 2020 Aug; 15(8):1399-1406. PubMed ID: 32556922 [TBL] [Abstract][Full Text] [Related]
3. Deep learning for staging liver fibrosis on CT: a pilot study. Yasaka K; Akai H; Kunimatsu A; Abe O; Kiryu S Eur Radiol; 2018 Nov; 28(11):4578-4585. PubMed ID: 29761358 [TBL] [Abstract][Full Text] [Related]
4. Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the model. Yin Y; Yakar D; Dierckx RAJO; Mouridsen KB; Kwee TC; de Haas RJ Eur Radiol; 2021 Dec; 31(12):9620-9627. PubMed ID: 34014382 [TBL] [Abstract][Full Text] [Related]
5. Liver Fibrosis: Deep Convolutional Neural Network for Staging by Using Gadoxetic Acid-enhanced Hepatobiliary Phase MR Images. Yasaka K; Akai H; Kunimatsu A; Abe O; Kiryu S Radiology; 2018 Apr; 287(1):146-155. PubMed ID: 29239710 [TBL] [Abstract][Full Text] [Related]
6. CT texture analysis of the liver for assessing hepatic fibrosis in patients with hepatitis C virus. Lubner MG; Jones D; Kloke J; Said A; Pickhardt PJ Br J Radiol; 2019 Jan; 92(1093):20180153. PubMed ID: 30182750 [TBL] [Abstract][Full Text] [Related]
7. Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent-enhanced CT Images in the Liver. Choi KJ; Jang JK; Lee SS; Sung YS; Shim WH; Kim HS; Yun J; Choi JY; Lee Y; Kang BK; Kim JH; Kim SY; Yu ES Radiology; 2018 Dec; 289(3):688-697. PubMed ID: 30179104 [TBL] [Abstract][Full Text] [Related]
8. Radiomics analysis of contrast-enhanced CT for staging liver fibrosis: an update for image biomarker. Wang J; Tang S; Mao Y; Wu J; Xu S; Yue Q; Chen J; He J; Yin Y Hepatol Int; 2022 Jun; 16(3):627-639. PubMed ID: 35347597 [TBL] [Abstract][Full Text] [Related]
9. Diffusion-weighted MRI-based Virtual Elastography for the Assessment of Liver Fibrosis. Kromrey ML; Le Bihan D; Ichikawa S; Motosugi U Radiology; 2020 Apr; 295(1):127-135. PubMed ID: 32043948 [TBL] [Abstract][Full Text] [Related]
10. Magnetic Resonance Diffusion Kurtosis Imaging for Evaluating Stage of Liver Fibrosis in a Rabbit Model. Li J; Wang D; Chen TW; Xie F; Li R; Zhang XM; Jing ZL; Yang JQ; Ou J; Cao JM Acad Radiol; 2019 Jun; 26(6):e90-e97. PubMed ID: 30072289 [TBL] [Abstract][Full Text] [Related]
11. Diffusion kurtosis imaging with the breath-hold technique for staging hepatic fibrosis: A preliminary study. Yoshimaru D; Miyati T; Suzuki Y; Hamada Y; Mogi N; Funaki A; Tabata A; Masunaga A; Shimada M; Tobari M; Nishino T Magn Reson Imaging; 2018 Apr; 47():33-38. PubMed ID: 29158186 [TBL] [Abstract][Full Text] [Related]
12. Automated classification of liver fibrosis stages using ultrasound imaging. Park HC; Joo Y; Lee OJ; Lee K; Song TK; Choi C; Choi MH; Yoon C BMC Med Imaging; 2024 Feb; 24(1):36. PubMed ID: 38321373 [TBL] [Abstract][Full Text] [Related]
13. A novel fast kilovoltage switching dual-energy computed tomography technique with deep learning: Utility for non-invasive assessments of liver fibrosis. Wada N; Fujita N; Ishimatsu K; Takao S; Yoshizumi T; Miyazaki Y; Oda Y; Nishie A; Ishigami K; Ushijima Y Eur J Radiol; 2022 Oct; 155():110461. PubMed ID: 35970119 [TBL] [Abstract][Full Text] [Related]
14. Multiinstitutional Evaluation of the Liver Surface Nodularity Score on CT for Staging Liver Fibrosis and Predicting Liver-Related Events in Patients With Hepatitis C. Elkassem AA; Allen BC; Lirette ST; Cox KL; Remer EM; Pickhardt PJ; Lubner MG; Sirlin CB; Dondlinger T; Schmainda M; Jacobus RB; Severino PE; Smith AD AJR Am J Roentgenol; 2022 May; 218(5):833-845. PubMed ID: 34935403 [No Abstract] [Full Text] [Related]
16. Serum N-glycan markers for diagnosing liver fibrosis induced by hepatitis B virus. Cao X; Shang QH; Chi XL; Zhang W; Xiao HM; Sun MM; Chen G; An Y; Lv CL; Wang L; Nan YM; Chen CY; Tan ZN; Liu XE; Zhuang H World J Gastroenterol; 2020 Mar; 26(10):1067-1079. PubMed ID: 32205997 [TBL] [Abstract][Full Text] [Related]
17. Comparing radiomics models with different inputs for accurate diagnosis of significant fibrosis in chronic liver disease. Lu X; Zhou H; Wang K; Jin J; Meng F; Mu X; Li S; Zheng R; Tian J Eur Radiol; 2021 Nov; 31(11):8743-8754. PubMed ID: 33881568 [TBL] [Abstract][Full Text] [Related]
18. Accuracy of liver surface nodularity quantification on MDCT for staging hepatic fibrosis in patients with hepatitis C virus. Lubner MG; Jones D; Said A; Kloke J; Lee S; Pickhardt PJ Abdom Radiol (NY); 2018 Nov; 43(11):2980-2986. PubMed ID: 29572714 [TBL] [Abstract][Full Text] [Related]
19. Multiparametric CT for Noninvasive Staging of Hepatitis C Virus-Related Liver Fibrosis: Correlation With the Histopathologic Fibrosis Score. Pickhardt PJ; Graffy PM; Said A; Jones D; Welsh B; Zea R; Lubner MG AJR Am J Roentgenol; 2019 Mar; 212(3):547-553. PubMed ID: 30645162 [TBL] [Abstract][Full Text] [Related]
20. Utility of Multiparametric CT for Identification of High-Risk NAFLD. Lubner MG; Graffy PM; Said A; Watson R; Zea R; Malecki KM; Pickhardt PJ AJR Am J Roentgenol; 2021 Mar; 216(3):659-668. PubMed ID: 33474981 [No Abstract] [Full Text] [Related] [Next] [New Search]