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For: Van Beers BE, Daire JL, Garteiser P. New imaging techniques for liver diseases. J Hepatol. 2015;62:690-700. [PMID: 25457198 DOI: 10.1016/j.jhep.2014.10.014] [Cited by in Crossref: 64] [Cited by in F6Publishing: 53] [Article Influence: 8.0] [Reference Citation Analysis]
Number Citing Articles
1 Hill TA, Crooks CJ, West J, Morling JR. Trends in indirect liver function marker testing in Wales from 2000 to 2017 and their association with age and sex: an observational study. BMJ Open Gastroenterol 2022;9:e000885. [PMID: 35487590 DOI: 10.1136/bmjgast-2022-000885] [Reference Citation Analysis]
2 Hall RC, Qin J, Laney V, Ayat N, Lu ZR. Manganese(II) EOB-Pyclen Diacetate for Liver-Specific MRI. ACS Appl Bio Mater 2022. [PMID: 35148050 DOI: 10.1021/acsabm.1c01259] [Reference Citation Analysis]
3 Han X, Wu X, Wang S, Xu L, Xu H, Zheng D, Yu N, Hong Y, Yu Z, Yang D, Yang Z. Automated segmentation of liver segment on portal venous phase MR images using a 3D convolutional neural network. Insights Imaging 2022;13:26. [PMID: 35201517 DOI: 10.1186/s13244-022-01163-1] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Forsgren MF, Norén B, Kihlberg J, Dahlqvist Leinhard O, Kechagias S, Lundberg P. Comparing hepatic 2D and 3D magnetic resonance elastography methods in a clinical setting - Initial experiences. Eur J Radiol Open 2015;2:66-70. [PMID: 26937438 DOI: 10.1016/j.ejro.2015.04.001] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 0.9] [Reference Citation Analysis]
5 Yu J, Hao G, Wang D, Liu J, Dong X, Sun Y, Pan Q, Li Y, Shi X, Li L, Cao H. Therapeutic Effect and Location of GFP-Labeled Placental Mesenchymal Stem Cells on Hepatic Fibrosis in Rats. Stem Cells Int. 2017;2017:1798260. [PMID: 28491093 DOI: 10.1155/2017/1798260] [Cited by in Crossref: 2] [Cited by in F6Publishing: 6] [Article Influence: 0.4] [Reference Citation Analysis]
6 Ba-Ssalamah A, Bastati N, Wibmer A, Fragner R, Hodge JC, Trauner M, Herold CJ, Bashir MR, Van Beers BE. Hepatic gadoxetic acid uptake as a measure of diffuse liver disease: Where are we? J Magn Reson Imaging. 2017;45:646-659. [PMID: 27862590 DOI: 10.1002/jmri.25518] [Cited by in Crossref: 32] [Cited by in F6Publishing: 27] [Article Influence: 5.3] [Reference Citation Analysis]
7 Lazebnik LB, Golovanova EV, Tarasova LV, Krivosheev AB, Sas EI, Eremina EY, Trukhan DI, Hlynova OV, Tsyganova YV. Adult Alcoholic Liver Disease. jour 2020;174:4-28. [DOI: 10.31146/1682-8658-ecg-174-2-4-28] [Cited by in Crossref: 8] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
8 Nacif LS, Paranaguá-Vezozzo DC, Galvão FH, Rocha MS, Andraus W, Carrilho FJ, D'Albuquerque LC. Significance of CT scan and color Doppler duplex ultrasound in the assessment of Abernethy malformation. BMC Med Imaging 2015;15:37. [PMID: 26385342 DOI: 10.1186/s12880-015-0079-7] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
9 Wu XF, Bai XM, Yang W, Sun Y, Wang H, Wu W, Chen MH, Yan K. Differentiation of atypical hepatic hemangioma from liver metastases: Diagnostic performance of a novel type of color contrast enhanced ultrasound. World J Gastroenterol 2020; 26(9): 960-972 [PMID: 32206006 DOI: 10.3748/wjg.v26.i9.960] [Cited by in CrossRef: 4] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
10 Girometti R. 3.0 Tesla magnetic resonance imaging: A new standard in liver imaging? World J Hepatol 2015; 7(15): 1894-1898 [PMID: 26244063 DOI: 10.4254/wjh.v7.i15.1894] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 0.6] [Reference Citation Analysis]
11 Gerges T, Semet V, Lombard P, Gaillard S, Cabrera M, Lambert SA. 3D Plastronics for Smartly Integrated Magnetic Resonance Imaging Coils. Front Phys 2020;8:240. [DOI: 10.3389/fphy.2020.00240] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
12 Karaosmanoglu AD, Onur MR, Ozmen MN, Akata D, Karcaaltincaba M. Magnetic Resonance Imaging of Liver Metastasis. Semin Ultrasound CT MR. 2016;37:533-548. [PMID: 27986172 DOI: 10.1053/j.sult.2016.08.005] [Cited by in Crossref: 23] [Cited by in F6Publishing: 19] [Article Influence: 3.8] [Reference Citation Analysis]
13 Pandey P, Pandey A, Dillhoff M, Schmidt C, Kamel IR, Pawlik TM. Assessing the Non-tumorous Liver: Implications for Patient Management and Surgical Therapy. J Gastrointest Surg 2018;22:344-60. [PMID: 28924922 DOI: 10.1007/s11605-017-3562-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
14 de Schellenberger AA, Tzschätzsch H, Polchlopek B, Bertalan G, Schrank F, Garczynska K, Janmey PA, Braun J, Sack I. Sensitivity of multifrequency magnetic resonance elastography and diffusion-weighted imaging to cellular and stromal integrity of liver tissue. Journal of Biomechanics 2019;88:201-8. [DOI: 10.1016/j.jbiomech.2019.03.037] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
15 Abe H, Midorikawa Y, Okada M, Takayama T. Clinical application of magnetic resonance elastography in chronic liver disease: Performance of MRE in CLD. Hepatol Res 2018;48:780-7. [DOI: 10.1111/hepr.13231] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 1.8] [Reference Citation Analysis]
16 Wang SH, Du J, Xu H, Yang D, Ye Y, Chen Y, Zhu Y, Ba T, Yuan C, Yang ZH. Automatic discrimination of different sequences and phases of liver MRI using a dense feature fusion neural network: a preliminary study. Abdom Radiol (NY) 2021;46:4576-87. [PMID: 34057565 DOI: 10.1007/s00261-021-03142-4] [Reference Citation Analysis]
17 Georgiou L, Penny J, Nicholls G, Woodhouse N, Blé FX, Hubbard Cristinacce PL, Naish JH. Quantitative Assessment of Liver Function Using Gadoxetate-Enhanced Magnetic Resonance Imaging: Monitoring Transporter-Mediated Processes in Healthy Volunteers. Invest Radiol 2017;52:111-9. [PMID: 28002117 DOI: 10.1097/RLI.0000000000000316] [Cited by in Crossref: 18] [Cited by in F6Publishing: 6] [Article Influence: 3.6] [Reference Citation Analysis]
18 Baues M, Dasgupta A, Ehling J, Prakash J, Boor P, Tacke F, Kiessling F, Lammers T. Fibrosis imaging: Current concepts and future directions. Adv Drug Deliv Rev 2017;121:9-26. [PMID: 29108860 DOI: 10.1016/j.addr.2017.10.013] [Cited by in Crossref: 73] [Cited by in F6Publishing: 60] [Article Influence: 14.6] [Reference Citation Analysis]
19 Poetter-Lang S, Staufer K, Baltzer P, Tamandl D, Muin D, Bastati N, Halilbasic E, Hodge JC, Trauner M, Kazemi-Shirazi L, Ba-Ssalamah A. The Efficacy of MRI in the diagnostic workup of cystic fibrosis-associated liver disease: A clinical observational cohort study. Eur Radiol 2019;29:1048-58. [PMID: 30054796 DOI: 10.1007/s00330-018-5650-5] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
20 Lee DH, Lee JM, Yoon JH, Kim YJ, Lee JH, Yu SJ, Han JK. Liver Stiffness Measured by Two-Dimensional Shear-Wave Elastography: Prognostic Value after Radiofrequency Ablation for Hepatocellular Carcinoma. Liver Cancer. 2018;7:65-75. [PMID: 29662834 DOI: 10.1159/000484445] [Cited by in Crossref: 15] [Cited by in F6Publishing: 11] [Article Influence: 3.8] [Reference Citation Analysis]
21 Kelly D, Verkade HJ, Rajanayagam J, Mckiernan P, Mazariegos G, Hübscher S. Late graft hepatitis and fibrosis in pediatric liver allograft recipients: Current concepts and future developments. Liver Transpl 2016;22:1593-602. [DOI: 10.1002/lt.24616] [Cited by in Crossref: 69] [Cited by in F6Publishing: 46] [Article Influence: 11.5] [Reference Citation Analysis]
22 Bentley-Hibbert S, Schwartz L. Use of Imaging for GI Cancers. J Clin Oncol 2015;33:1729-36. [PMID: 25918300 DOI: 10.1200/JCO.2014.60.2847] [Cited by in Crossref: 7] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
23 Cowger TA, Tang W, Zhen Z, Hu K, Rink DE, Todd TJ, Wang GD, Zhang W, Chen H, Xie J. Casein-Coated Fe5C2 Nanoparticles with Superior r2 Relaxivity for Liver-Specific Magnetic Resonance Imaging. Theranostics 2015;5:1225-32. [PMID: 26379788 DOI: 10.7150/thno.12570] [Cited by in Crossref: 27] [Cited by in F6Publishing: 24] [Article Influence: 3.9] [Reference Citation Analysis]
24 Fan G, Ya Y, Ni X, Hou J, Yu R. Application Value of Magnetic Resonance Perfusion Imaging in the Early Diagnosis of Rat Hepatic Fibrosis. Biomed Res Int 2019;2019:5095934. [PMID: 31950040 DOI: 10.1155/2019/5095934] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
25 Jiang X, Xu J, Gore JC. Mapping hepatocyte size in vivo using temporal diffusion spectroscopy MRI. Magn Reson Med 2020;84:2671-83. [PMID: 32333469 DOI: 10.1002/mrm.28299] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
26 Yuan Z, Zhang J, Yang H, Ye XD, Xu LC, Li WT. Diffusion-Weighted MR Imaging of Hepatocellular Carcinoma: Current Value in Clinical Evaluation of Tumor Response to Locoregional Treatment. J Vasc Interv Radiol. 2016;27:20-30; quiz 31. [PMID: 26621785 DOI: 10.1016/j.jvir.2015.10.003] [Cited by in Crossref: 11] [Cited by in F6Publishing: 10] [Article Influence: 1.6] [Reference Citation Analysis]
27 McMahon A, McNamara J, Griffin M. A Review of Heart Transplantation for Adults With Congenital Heart Disease. J Cardiothorac Vasc Anesth 2021;35:752-62. [PMID: 32839039 DOI: 10.1053/j.jvca.2020.07.027] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
28 Poetter-Lang S, Bastati N, Messner A, Kristic A, Herold A, Hodge JC, Ba-Ssalamah A. Quantification of liver function using gadoxetic acid-enhanced MRI. Abdom Radiol (NY) 2020;45:3532-44. [PMID: 33034671 DOI: 10.1007/s00261-020-02779-x] [Cited by in Crossref: 10] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
29 Cheng D, Wan G, Sun L, Wang X, Ou W, Xing H. A Novel Diagnostic Nomogram for Noninvasive Evaluating Liver Fibrosis in Patients with Chronic Hepatitis B Virus Infection. Biomed Res Int 2020;2020:5218930. [PMID: 32596321 DOI: 10.1155/2020/5218930] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
30 Belkahla H, Antunes JC, Lalatonne Y, Sainte Catherine O, Illoul C, Journé C, Jandrot-Perrus M, Coradin T, Gigoux V, Guenin E, Motte L, Helary C. USPIO-PEG nanoparticles functionalized with a highly specific collagen-binding peptide: a step towards MRI diagnosis of fibrosis. J Mater Chem B 2020;8:5515-28. [PMID: 32490469 DOI: 10.1039/d0tb00887g] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
31 Suo L, Chang R, Padmanabhan V, Jain S. For diagnosis of liver masses, fine-needle aspiration versus needle core biopsy: which is better? Journal of the American Society of Cytopathology 2018;7:46-9. [DOI: 10.1016/j.jasc.2017.09.004] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
32 Lee DH, Lee JM, Chang W, Yoon JH, Kim YJ, Lee JH, Yu SJ, Han JK. Prognostic Role of Liver Stiffness Measurements Using Magnetic Resonance Elastography in Patients with Compensated Chronic Liver Disease. Eur Radiol 2018;28:3513-21. [PMID: 29488082 DOI: 10.1007/s00330-017-5278-x] [Cited by in Crossref: 15] [Cited by in F6Publishing: 10] [Article Influence: 3.8] [Reference Citation Analysis]
33 Toguchi M, Tsurusaki M, Yada N, Sofue K, Hyodo T, Onoda M, Numoto I, Matsuki M, Imaoka I, Kudo M, Murakami T. Magnetic resonance elastography in the assessment of hepatic fibrosis: a study comparing transient elastography and histological data in the same patients. Abdom Radiol (NY) 2017;42:1659-66. [PMID: 28144720 DOI: 10.1007/s00261-017-1045-3] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 2.4] [Reference Citation Analysis]
34 Karageorgis A, Lenhard SC, Yerby B, Forsgren MF, Liachenko S, Johansson E, Pilling MA, Peterson RA, Yang X, Williams DP, Ungersma SE, Morgan RE, Brouwer KLR, Jucker BM, Hockings PD. A multi-center preclinical study of gadoxetate DCE-MRI in rats as a biomarker of drug induced inhibition of liver transporter function. PLoS One 2018;13:e0197213. [PMID: 29771932 DOI: 10.1371/journal.pone.0197213] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
35 Schaffner D, von Elverfeldt D, Deibert P, Lazaro A, Merfort I, Lutz L, Neubauer J, Baumstark MW, Kreisel W, Reichardt W. Phase-contrast MR flow imaging: A tool to determine hepatic hemodynamics in rats with a healthy, fibrotic, or cirrhotic liver. J Magn Reson Imaging 2017;46:1526-34. [PMID: 28240794 DOI: 10.1002/jmri.25677] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
36 Göçeri E. Fully automated liver segmentation using Sobolev gradient-based level set evolution. Int J Numer Method Biomed Eng 2016;32. [PMID: 26728097 DOI: 10.1002/cnm.2765] [Cited by in Crossref: 30] [Cited by in F6Publishing: 19] [Article Influence: 5.0] [Reference Citation Analysis]
37 Zhou IY, Catalano OA, Caravan P. Advances in functional and molecular MRI technologies in chronic liver diseases. J Hepatol 2020;73:1241-54. [PMID: 32585160 DOI: 10.1016/j.jhep.2020.06.020] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
38 Guo Z, Gao M, Zhang D, Li Y, Song M, Zhuang R, Su X, Chen G, Liu T, Liu P, Wu H, Du J, Zhang X. Simultaneous SPECT imaging of multi-targets to assist in identifying hepatic lesions. Sci Rep 2016;6:28812. [PMID: 27377130 DOI: 10.1038/srep28812] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 1.3] [Reference Citation Analysis]
39 deSouza NM, Liu Y, Chiti A, Oprea-lager D, Gebhart G, Van Beers BE, Herrmann K, Lecouvet FE. Strategies and technical challenges for imaging oligometastatic disease: Recommendations from the European Organisation for Research and Treatment of Cancer imaging group. European Journal of Cancer 2018;91:153-63. [DOI: 10.1016/j.ejca.2017.12.012] [Cited by in Crossref: 50] [Cited by in F6Publishing: 52] [Article Influence: 12.5] [Reference Citation Analysis]
40 Christ B, Dahmen U, Herrmann KH, König M, Reichenbach JR, Ricken T, Schleicher J, Ole Schwen L, Vlaic S, Waschinsky N. Computational Modeling in Liver Surgery. Front Physiol 2017;8:906. [PMID: 29249974 DOI: 10.3389/fphys.2017.00906] [Cited by in Crossref: 13] [Cited by in F6Publishing: 5] [Article Influence: 2.6] [Reference Citation Analysis]
41 Balaceanu LA. Biomarkers vs imaging in the early detection of hepatocellular carcinoma and prognosis. World J Clin Cases 2019; 7(12): 1367-1382 [PMID: 31363465 DOI: 10.12998/wjcc.v7.i12.1367] [Cited by in CrossRef: 11] [Cited by in F6Publishing: 12] [Article Influence: 3.7] [Reference Citation Analysis]
42 Cui Q, He F, Hu J, Li S, Guo D, Bie X, Liu W, Zhao Y. Evaluation of Rabbits Liver Fibrosis Using Gd-DTPA-BMA of Dynamic Contrast-Enhanced Magnetic Resonance Imaging. Evid Based Complement Alternat Med 2021;2021:2791142. [PMID: 34567208 DOI: 10.1155/2021/2791142] [Reference Citation Analysis]
43 Maruyama H, Shiha G, Yokosuka O, Kumar A, Sharma BC, Ibrahim A, Saraswat V, Lesmana CR, Omata M. Non-invasive assessment of portal hypertension and liver fibrosis using contrast-enhanced ultrasonography. Hepatol Int. 2016;10:267-276. [PMID: 26696585 DOI: 10.1007/s12072-015-9670-9] [Cited by in Crossref: 16] [Cited by in F6Publishing: 15] [Article Influence: 2.3] [Reference Citation Analysis]
44 Stoopen-Rometti M, Encinas-Escobar ER, Ramirez-Carmona CR, Wolpert-Barraza E, Kimura-Hayama E, Sosa-Lozano LA, Favila R, Kimura-Fujikami Y, Saavedra-Abril JA, Loaeza-Del Castillo A. Diagnosis and quantification of fibrosis, steatosis, and hepatic siderosis through multiparametric magnetic resonance imaging. Rev Gastroenterol Mex 2017;82:32-45. [PMID: 28089429 DOI: 10.1016/j.rgmx.2016.06.001] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
45 Luna A, Pahwa S, Bonini C, Alcalá-Mata L, Wright KL, Gulani V. Multiparametric MR Imaging in Abdominal Malignancies. Magn Reson Imaging Clin N Am 2016;24:157-86. [PMID: 26613880 DOI: 10.1016/j.mric.2015.08.005] [Cited by in Crossref: 21] [Cited by in F6Publishing: 14] [Article Influence: 3.5] [Reference Citation Analysis]
46 Huang J, Xian S, Liu Y, Chen X, Pu K, Wang H. A Renally Clearable Activatable Polymeric Nanoprobe for Early Detection of Hepatic Ischemia-Reperfusion Injury. Adv Mater 2022;:e2201357. [PMID: 35436014 DOI: 10.1002/adma.202201357] [Reference Citation Analysis]
47 Donato H, França M, Candelária I, Caseiro-Alves F. Liver MRI: From basic protocol to advanced techniques. Eur J Radiol 2017;93:30-9. [PMID: 28668428 DOI: 10.1016/j.ejrad.2017.05.028] [Cited by in Crossref: 31] [Cited by in F6Publishing: 23] [Article Influence: 6.2] [Reference Citation Analysis]
48 Paschke NK, Neumann W, Uhrig T, Winkler M, Neumaier-probst E, Fatar M, Schad LR, Zöllner FG. Influence of Gadolinium-Based Contrast Agents on Tissue Sodium Quantification in Sodium Magnetic Resonance Imaging: . Investigative Radiology 2018;53:555-62. [DOI: 10.1097/rli.0000000000000487] [Cited by in Crossref: 7] [Cited by in F6Publishing: 2] [Article Influence: 1.8] [Reference Citation Analysis]
49 Yang JF, Zhao ZH, Zhang Y, Zhao L, Yang LM, Zhang MM, Wang BY, Wang T, Lu BC. Dual-input two-compartment pharmacokinetic model of dynamic contrast-enhanced magnetic resonance imaging in hepatocellular carcinoma. World J Gastroenterol 2016; 22(13): 3652-3662 [PMID: 27053857 DOI: 10.3748/wjg.v22.i13.3652] [Cited by in CrossRef: 10] [Cited by in F6Publishing: 12] [Article Influence: 1.7] [Reference Citation Analysis]
50 Liu HF, Wang Q, Du YN, Zhu ZH, Li YF, Zou LQ, Xing W. Dynamic contrast-enhanced MRI with Gd-EOB-DTPA for the quantitative assessment of early-stage liver fibrosis induced by carbon tetrachloride in rabbits. Magn Reson Imaging 2020;70:57-63. [PMID: 32325235 DOI: 10.1016/j.mri.2020.04.010] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
51 Kishimoto R, Kikuchi K, Koyama A, Kershaw J, Omatsu T, Tachibana Y, Suga M, Obata T. Intra- and inter-operator reproducibility of US point shear-wave elastography in various organs: evaluation in phantoms and healthy volunteers. Eur Radiol 2019;29:5999-6008. [PMID: 31089847 DOI: 10.1007/s00330-019-06195-8] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 3.0] [Reference Citation Analysis]
52 Lee DH, Lee JM, Yi N, Lee K, Suh K, Lee J, Lee KB, Han JK. Hepatic stiffness measurement by using MR elastography: prognostic values after hepatic resection for hepatocellular carcinoma. Eur Radiol 2017;27:1713-21. [DOI: 10.1007/s00330-016-4499-8] [Cited by in Crossref: 23] [Cited by in F6Publishing: 23] [Article Influence: 3.8] [Reference Citation Analysis]
53 Moga TV, Sporea I, Lupușoru R, Popescu A, Popa A, Bota S, Șirli R, Danilă M, Schlesinger A, Tzschätzsch H. Performance of a Noninvasive Time-Harmonic Elastography Technique for Liver Fibrosis Evaluation Using Vibration Controlled Transient Elastography as Reference Method. Diagnostics (Basel) 2020;10:E653. [PMID: 32878078 DOI: 10.3390/diagnostics10090653] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
54 Li GY, Cao Y. Mechanics of ultrasound elastography. Proc Math Phys Eng Sci 2017;473:20160841. [PMID: 28413350 DOI: 10.1098/rspa.2016.0841] [Cited by in Crossref: 32] [Cited by in F6Publishing: 23] [Article Influence: 6.4] [Reference Citation Analysis]
55 Kan Q, Cui X, Chang J, Dietrich CF. Strain ultrasound elastography for liver diseases. Journal of Hepatology 2015;63:534. [DOI: 10.1016/j.jhep.2015.03.038] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
56 Keller S, Aigner A, Zenouzi R, Kim AC, Meijer A, Weidemann SA, Krech T, Lohse AW, Adam G, Schramm C, Yamamura J. Association of gadolinium-enhanced magnetic resonance imaging with hepatic fibrosis and inflammation in primary sclerosing cholangitis. PLoS One. 2018;13:e0193929. [PMID: 29513767 DOI: 10.1371/journal.pone.0193929] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
57 Gaber A, Youness HA, Hamdy A, Abdelaal HM, Hassan AM. Automatic Classification of Fatty Liver Disease Based on Supervised Learning and Genetic Algorithm. Applied Sciences 2022;12:521. [DOI: 10.3390/app12010521] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
58 Sinkus R, Lambert S, Abd-Elmoniem KZ, Morse C, Heller T, Guenthner C, Ghanem AM, Holm S, Gharib AM. Rheological determinants for simultaneous staging of hepatic fibrosis and inflammation in patients with chronic liver disease. NMR Biomed 2018;31:e3956. [PMID: 30059174 DOI: 10.1002/nbm.3956] [Cited by in Crossref: 14] [Cited by in F6Publishing: 10] [Article Influence: 3.5] [Reference Citation Analysis]
59 Feng YH, Hu XD, Zhai L, Liu JB, Qiu LY, Zu Y, Liang S, Gui Y, Qian LX. Shear wave elastography results correlate with liver fibrosis histology and liver function reserve. World J Gastroenterol 2016; 22(17): 4338-4344 [PMID: 27158202 DOI: 10.3748/wjg.v22.i17.4338] [Cited by in CrossRef: 13] [Cited by in F6Publishing: 10] [Article Influence: 2.2] [Reference Citation Analysis]
60 Tzschätzsch H, Nguyen Trong M, Scheuermann T, Ipek-ugay S, Fischer T, Schultz M, Braun J, Sack I. Two-Dimensional Time-Harmonic Elastography of the Human Liver and Spleen. Ultrasound in Medicine & Biology 2016;42:2562-71. [DOI: 10.1016/j.ultrasmedbio.2016.07.004] [Cited by in Crossref: 22] [Cited by in F6Publishing: 18] [Article Influence: 3.7] [Reference Citation Analysis]
61 Li J, Zhang C, Cui Y, Liu H, Chen W, Wang G, Wang D. Intravoxel incoherent motion diffusion-weighted MR imaging of the liver using respiratory-cardiac double triggering. Oncotarget. 2017;8:94959-94968. [PMID: 29212282 DOI: 10.18632/oncotarget.21824] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]