BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Grover VP, Tognarelli JM, Crossey MM, Cox IJ, Taylor-Robinson SD, McPhail MJ. Magnetic Resonance Imaging: Principles and Techniques: Lessons for Clinicians. J Clin Exp Hepatol. 2015;5:246-255. [PMID: 26628842 DOI: 10.1016/j.jceh.2015.08.001] [Cited by in Crossref: 94] [Cited by in F6Publishing: 44] [Article Influence: 15.7] [Reference Citation Analysis]
Number Citing Articles
1 Badau D, Badau A, Trambitas C, Trambitas-Miron D, Moraru R, Stan AA, Oancea BM, Turcu I, Grosu EF, Grosu VT, Daina LG, Daina CM, Suteu CL, Moraru L. Differences between Active and Semi-Active Students Regarding the Parameters of Body Composition Using Bioimpedance and Magnetic Bioresonance Technologies. Int J Environ Res Public Health 2021;18:7906. [PMID: 34360200 DOI: 10.3390/ijerph18157906] [Reference Citation Analysis]
2 Mamun A, Islam A, Eto F, Sato T, Kahyo T, Setou M. Mass spectrometry-based phospholipid imaging: methods and findings. Expert Rev Proteomics 2020;17:843-54. [PMID: 33504247 DOI: 10.1080/14789450.2020.1880897] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Lee K, Park HY, Kim KW, Lee AJ, Yoon MA, Chae EJ, Lee JH, Chung HW. Advances in whole body MRI for musculoskeletal imaging: Diffusion-weighted imaging. J Clin Orthop Trauma 2019;10:680-6. [PMID: 31316239 DOI: 10.1016/j.jcot.2019.05.018] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 2.5] [Reference Citation Analysis]
4 Ghadimi M, Habibabadi RR, Hazhirkarzar B, Shaghaghi M, Ameli S, Khoshpouri P, Ghasabeh MA, Gurakar A, Pawlik TM, Kamel IR. Advances in Imaging of Diffuse Parenchymal Liver Disease. J Clin Gastroenterol 2020;54:682-95. [PMID: 32554990 DOI: 10.1097/MCG.0000000000001380] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Beuchat G, Xue X, Chen LQ. Review: The Next Steps in Crop Improvement: Adoption of Emerging Strategies to Identify Bottlenecks in Sugar Flux. Plant Sci 2020;301:110675. [PMID: 33218639 DOI: 10.1016/j.plantsci.2020.110675] [Reference Citation Analysis]
6 Lau J, Rousseau J, Kwon D, Bénard F, Lin KS. A Systematic Review of Molecular Imaging Agents Targeting Bradykinin B1 and B2 Receptors. Pharmaceuticals (Basel) 2020;13:E199. [PMID: 32824565 DOI: 10.3390/ph13080199] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
7 Aziz A, Pane S, Iacovacci V, Koukourakis N, Czarske J, Menciassi A, Medina-sánchez M, Schmidt OG. Medical Imaging of Microrobots: Toward In Vivo Applications. ACS Nano 2020;14:10865-93. [DOI: 10.1021/acsnano.0c05530] [Cited by in Crossref: 18] [Cited by in F6Publishing: 11] [Article Influence: 18.0] [Reference Citation Analysis]
8 Alkemade A, Forstmann BU. Imaging of the human subthalamic nucleus. Handb Clin Neurol 2021;180:403-16. [PMID: 34225944 DOI: 10.1016/B978-0-12-820107-7.00025-2] [Reference Citation Analysis]
9 Shao G, Fan L, Zhang J, Dai G, Xie T. Association of DW/DCE-MRI features with prognostic factors in breast cancer. Int J Biol Markers 2017;32:e118-25. [PMID: 27646773 DOI: 10.5301/jbm.5000230] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 0.8] [Reference Citation Analysis]
10 Bhushan A, Gonsalves A, Menon JU. Current State of Breast Cancer Diagnosis, Treatment, and Theranostics. Pharmaceutics 2021;13:723. [PMID: 34069059 DOI: 10.3390/pharmaceutics13050723] [Reference Citation Analysis]
11 Bian D, Qin L, Lin W, Shen D, Qi H, Shi X, Zhang G, Liu H, Yang H, Wang J, Zhang D, Zheng Y. Magnetic resonance (MR) safety and compatibility of a novel iron bioresorbable scaffold. Bioact Mater 2020;5:260-74. [PMID: 32128465 DOI: 10.1016/j.bioactmat.2020.02.011] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]
12 Bastawrous M, Jenne A, Tabatabaei Anaraki M, Simpson AJ. In-Vivo NMR Spectroscopy: A Powerful and Complimentary Tool for Understanding Environmental Toxicity. Metabolites 2018;8:E35. [PMID: 29795000 DOI: 10.3390/metabo8020035] [Cited by in Crossref: 32] [Cited by in F6Publishing: 17] [Article Influence: 10.7] [Reference Citation Analysis]
13 De Niz M, Spadin F, Marti M, Stein JV, Frenz M, Frischknecht F. Toolbox for In Vivo Imaging of Host-Parasite Interactions at Multiple Scales. Trends Parasitol 2019;35:193-212. [PMID: 30745251 DOI: 10.1016/j.pt.2019.01.002] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
14 Alaidarous MA. The emergence of new trends in clinical laboratory diagnosis. Saudi Med J 2020;41:1175-80. [PMID: 33130836 DOI: 10.15537/smj.2020.11.25455] [Reference Citation Analysis]
15 Djorgbenoo R, Rubio MMM, Yin Z, Moore KJ, Jayapalan A, Fiadorwu J, Collins BE, Velasco B, Allado K, Tsuruta JK, Gorman CB, Wei J, Johnson KA, He P. Amphiphilic phospholipid-iodinated polymer conjugates for bioimaging. Biomater Sci 2021;9:5045-56. [PMID: 34127999 DOI: 10.1039/d0bm02098b] [Reference Citation Analysis]
16 Ross CL. Energy Medicine: Current Status and Future Perspectives. Glob Adv Health Med 2019;8:2164956119831221. [PMID: 30834177 DOI: 10.1177/2164956119831221] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
17 Somaratne G, Reis MM, Ferrua MJ, Ye A, Nau F, Floury J, Dupont D, Singh RP, Singh J. Mapping the Spatiotemporal Distribution of Acid and Moisture in Food Structures during Gastric Juice Diffusion Using Hyperspectral Imaging. J Agric Food Chem 2019;67:9399-410. [PMID: 31304753 DOI: 10.1021/acs.jafc.9b02430] [Cited by in Crossref: 9] [Cited by in F6Publishing: 6] [Article Influence: 4.5] [Reference Citation Analysis]
18 Serai SD, Ho ML, Artunduaga M, Chan SS, Chavhan GB. Components of a magnetic resonance imaging system and their relationship to safety and image quality. Pediatr Radiol 2021;51:716-23. [PMID: 33871725 DOI: 10.1007/s00247-020-04894-9] [Reference Citation Analysis]
19 Mamoune KE, Barantin L, Adriaensen H, Tillet Y. Application of Chemical Exchange Saturation Transfer (CEST) in neuroimaging. J Chem Neuroanat 2021;114:101944. [PMID: 33716103 DOI: 10.1016/j.jchemneu.2021.101944] [Reference Citation Analysis]
20 Dong YC, Bouché M, Uman S, Burdick JA, Cormode DP. Detecting and Monitoring Hydrogels with Medical Imaging. ACS Biomater Sci Eng 2021;7:4027-47. [PMID: 33979137 DOI: 10.1021/acsbiomaterials.0c01547] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
21 Brooke JP, Hall IP. Novel Thoracic MRI Approaches for the Assessment of Pulmonary Physiology and Inflammation. Adv Exp Med Biol 2021;1304:123-45. [PMID: 34019267 DOI: 10.1007/978-3-030-68748-9_8] [Reference Citation Analysis]
22 Tang X, Cai F, Ding DX, Zhang LL, Cai XY, Fang Q. Magnetic resonance imaging relaxation time in Alzheimer's disease. Brain Res Bull 2018;140:176-89. [PMID: 29738781 DOI: 10.1016/j.brainresbull.2018.05.004] [Cited by in Crossref: 19] [Cited by in F6Publishing: 13] [Article Influence: 6.3] [Reference Citation Analysis]
23 Son SJ, Park BY, Byeon K, Park H. Synthesizing diffusion tensor imaging from functional MRI using fully convolutional networks. Comput Biol Med 2019;115:103528. [PMID: 31743880 DOI: 10.1016/j.compbiomed.2019.103528] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
24 T.s A, Shalumon K, Chen J. Applications of Magnetic Liposomes in Cancer Therapies. CPD 2019;25:1490-504. [DOI: 10.2174/1389203720666190521114936] [Cited by in Crossref: 10] [Cited by in F6Publishing: 3] [Article Influence: 5.0] [Reference Citation Analysis]
25 Abdel Razek AAK, Barakat T, Ali K. Assessment of Liver and Spleen in Children With Gaucher Disease Type 1 With Chemical Shift Imaging: . Journal of Computer Assisted Tomography 2019;43:183-6. [DOI: 10.1097/rct.0000000000000817] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
26 Sims JR, Chen AM, Sun Z, Deng W, Colwell NA, Colbert MK, Zhu J, Sainulabdeen A, Faiq MA, Bang JW, Chan KC. Role of Structural, Metabolic, and Functional MRI in Monitoring Visual System Impairment and Recovery. J Magn Reson Imaging 2020. [PMID: 33009710 DOI: 10.1002/jmri.27367] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
27 Richard MA, Pallubinsky H, Blondin DP. Functional characterization of human brown adipose tissue metabolism. Biochem J 2020;477:1261-86. [PMID: 32271883 DOI: 10.1042/BCJ20190464] [Cited by in Crossref: 11] [Cited by in F6Publishing: 6] [Article Influence: 11.0] [Reference Citation Analysis]
28 Farkaš B, de Leeuw NH. A Perspective on Modelling Metallic Magnetic Nanoparticles in Biomedicine: From Monometals to Nanoalloys and Ligand-Protected Particles. Materials (Basel) 2021;14:3611. [PMID: 34203371 DOI: 10.3390/ma14133611] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
29 Koudrina A, DeRosa MC. Advances in Medical Imaging: Aptamer- and Peptide-Targeted MRI and CT Contrast Agents. ACS Omega 2020;5:22691-701. [PMID: 32954116 DOI: 10.1021/acsomega.0c02650] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 8.0] [Reference Citation Analysis]
30 Nwasike C, Purr E, Yoo E, Nagi JS, Doiron AL. Activatable Nanoparticles: Recent Advances in Redox-Sensitive Magnetic Resonance Contrast Agent Candidates Capable of Detecting Inflammation. Pharmaceuticals (Basel) 2021;14:69. [PMID: 33467028 DOI: 10.3390/ph14010069] [Reference Citation Analysis]
31 Kim SR, Lerman LO. Diagnostic imaging in the management of patients with metabolic syndrome. Transl Res 2018;194:1-18. [PMID: 29175480 DOI: 10.1016/j.trsl.2017.10.009] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 2.3] [Reference Citation Analysis]
32 Alqahtani JS, Alghamdi SM, Aldhahir AM, Althobiani M, Raya RP, Oyelade T. Thoracic imaging outcomes in COVID-19 survivors. World J Radiol 2021;13:149-56. [PMID: 34249236 DOI: 10.4329/wjr.v13.i6.149] [Reference Citation Analysis]
33 Wildeboer RR, van Sloun RJG, Wijkstra H, Mischi M. Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods. Comput Methods Programs Biomed 2020;189:105316. [PMID: 31951873 DOI: 10.1016/j.cmpb.2020.105316] [Cited by in Crossref: 12] [Cited by in F6Publishing: 8] [Article Influence: 12.0] [Reference Citation Analysis]
34 Sharma M, Dube T, Chibh S, Kour A, Mishra J, Panda JJ. Nanotheranostics, a future remedy of neurological disorders. Expert Opin Drug Deliv 2019;16:113-28. [PMID: 30572726 DOI: 10.1080/17425247.2019.1562443] [Cited by in Crossref: 16] [Cited by in F6Publishing: 10] [Article Influence: 8.0] [Reference Citation Analysis]
35 Wallyn J, Anton N, Mertz D, Begin-Colin S, Perton F, Serra CA, Franconi F, Lemaire L, Chiper M, Libouban H, Messaddeq N, Anton H, Vandamme TF. Magnetite- and Iodine-Containing Nanoemulsion as a Dual Modal Contrast Agent for X-ray/Magnetic Resonance Imaging. ACS Appl Mater Interfaces 2019;11:403-16. [PMID: 30541280 DOI: 10.1021/acsami.8b19517] [Cited by in Crossref: 12] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
36 Campbell-Washburn AE. 2019 American Thoracic Society BEAR Cage Winning Proposal: Lung Imaging Using High-Performance Low-Field Magnetic Resonance Imaging. Am J Respir Crit Care Med 2020;201:1333-6. [PMID: 32298594 DOI: 10.1164/rccm.201912-2505ED] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
37 Thirunavukkarasu GK, Cherukula K, Lee H, Jeong YY, Park IK, Lee JY. Magnetic field-inducible drug-eluting nanoparticles for image-guided thermo-chemotherapy. Biomaterials 2018;180:240-52. [PMID: 30055399 DOI: 10.1016/j.biomaterials.2018.07.028] [Cited by in Crossref: 37] [Cited by in F6Publishing: 27] [Article Influence: 12.3] [Reference Citation Analysis]
38 Cahill D, Zamboni F, Collins MN. Radiological Advances in Pancreatic Islet Transplantation. Acad Radiol. 2019;26:1536-1543. [PMID: 30709732 DOI: 10.1016/j.acra.2019.01.006] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
39 Mahaffey AL. It’s All Relative! Engaging Nursing and Exercise Science Students in Chemical Education Using Medical Case Studies. J Chem Educ 2019;96:2253-60. [DOI: 10.1021/acs.jchemed.9b00329] [Cited by in Crossref: 7] [Cited by in F6Publishing: 2] [Article Influence: 3.5] [Reference Citation Analysis]
40 Huang XQ, Shu J, Luo L, Jin ML, Lu XF, Yang SG. Differentiation grade for extrahepatic bile duct adenocarcinoma: Assessed by diffusion-weighted imaging at 3.0-T MR. Eur J Radiol 2016;85:1980-6. [PMID: 27776649 DOI: 10.1016/j.ejrad.2016.09.004] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
41 Arms L, Smith DW, Flynn J, Palmer W, Martin A, Woldu A, Hua S. Advantages and Limitations of Current Techniques for Analyzing the Biodistribution of Nanoparticles. Front Pharmacol 2018;9:802. [PMID: 30154715 DOI: 10.3389/fphar.2018.00802] [Cited by in Crossref: 37] [Cited by in F6Publishing: 21] [Article Influence: 12.3] [Reference Citation Analysis]
42 Wataganara T, Ebrashy A, Aliyu LD, Moreira de Sa RA, Pooh R, Kurjak A, Sen C, Adra A, Stanojevic M. Fetal magnetic resonance imaging and ultrasound. Journal of Perinatal Medicine 2016;44. [DOI: 10.1515/jpm-2015-0226] [Cited by in Crossref: 11] [Cited by in F6Publishing: 6] [Article Influence: 2.2] [Reference Citation Analysis]
43 Gore S, Chougule T, Jagtap J, Saini J, Ingalhalikar M. A Review of Radiomics and Deep Predictive Modeling in Glioma Characterization. Academic Radiology 2020. [DOI: 10.1016/j.acra.2020.06.016] [Cited by in Crossref: 13] [Cited by in F6Publishing: 9] [Article Influence: 13.0] [Reference Citation Analysis]
44 Razek AAKA, Abdalla A, Barakat T, El-taher H, Ali K. Assessment of the liver and spleen in children with Gaucher disease type I with diffusion-weighted MR imaging. Blood Cells, Molecules, and Diseases 2018;68:139-42. [DOI: 10.1016/j.bcmd.2016.12.004] [Cited by in Crossref: 15] [Cited by in F6Publishing: 14] [Article Influence: 5.0] [Reference Citation Analysis]