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Cited by in F6Publishing
For: Duraipandian S, Sylvest Bergholt M, Zheng W, Yu Ho K, Teh M, Guan Yeoh K, Bok Yan So J, Shabbir A, Huang Z. Real-time Raman spectroscopy for in vivo, online gastric cancer diagnosis during clinical endoscopic examination. J Biomed Opt. 2012;17:081418. [PMID: 23224179 DOI: 10.1117/1.jbo.17.8.081418] [Cited by in Crossref: 84] [Cited by in F6Publishing: 31] [Article Influence: 9.3] [Reference Citation Analysis]
Number Citing Articles
1 Yoshida H, Kiyuna T. Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology. World J Gastroenterol 2021; 27(21): 2818-2833 [PMID: 34135556 DOI: 10.3748/wjg.v27.i21.2818] [Reference Citation Analysis]
2 Omar E. Current concepts and future of noninvasive procedures for diagnosing oral squamous cell carcinoma--a systematic review. Head Face Med 2015;11:6. [PMID: 25889859 DOI: 10.1186/s13005-015-0063-z] [Cited by in Crossref: 32] [Cited by in F6Publishing: 27] [Article Influence: 4.6] [Reference Citation Analysis]
3 Li SC, Tachiki LM, Kabeer MH, Dethlefs BA, Anthony MJ, Loudon WG. Cancer genomic research at the crossroads: realizing the changing genetic landscape as intratumoral spatial and temporal heterogeneity becomes a confounding factor. Cancer Cell Int. 2014;14:115. [PMID: 25411563 DOI: 10.1186/s12935-014-0115-7] [Cited by in Crossref: 25] [Cited by in F6Publishing: 23] [Article Influence: 3.1] [Reference Citation Analysis]
4 El-Nakeep S, El-Nakeep M. Artificial intelligence for cancer detection in upper gastrointestinal endoscopy, current status, and future aspirations. Artif Intell Gastroenterol 2021; 2(5): 124-132 [DOI: 10.35712/aig.v2.i5.124] [Reference Citation Analysis]
5 Coda S, Siersema PD, Stamp GW, Thillainayagam AV. Biophotonic endoscopy: a review of clinical research techniques for optical imaging and sensing of early gastrointestinal cancer. Endosc Int Open 2015;3:E380-92. [PMID: 26528489 DOI: 10.1055/s-0034-1392513] [Cited by in Crossref: 23] [Cited by in F6Publishing: 17] [Article Influence: 3.3] [Reference Citation Analysis]
6 Alpsoy A, Yavuz A, Elpek GO. Artificial intelligence in pathological evaluation of gastrointestinal cancers. Artif Intell Gastroenterol 2021; 2(6): 141-156 [DOI: 10.35712/aig.v2.i6.141] [Reference Citation Analysis]
7 Bergholt MS, Albro MB, Stevens MM. Online quantitative monitoring of live cell engineered cartilage growth using diffuse fiber-optic Raman spectroscopy. Biomaterials 2017;140:128-37. [PMID: 28649013 DOI: 10.1016/j.biomaterials.2017.06.015] [Cited by in Crossref: 25] [Cited by in F6Publishing: 21] [Article Influence: 5.0] [Reference Citation Analysis]
8 Brozek-pluska B, Kopec M, Surmacki J. Surface-Enhanced Raman Spectroscopy Analysis of Human Breast Cancer via Silver Nanoparticles: An Examination of Fabrication Methods. Journal of Spectroscopy 2018;2018:1-8. [DOI: 10.1155/2018/4893274] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
9 Cui S, Zhang S, Yue S. Raman Spectroscopy and Imaging for Cancer Diagnosis. J Healthc Eng 2018;2018:8619342. [PMID: 29977484 DOI: 10.1155/2018/8619342] [Cited by in Crossref: 22] [Cited by in F6Publishing: 18] [Article Influence: 5.5] [Reference Citation Analysis]
10 Zhang J, Fan Y, He M, Ma X, Song Y, Liu M, Xu J. Accuracy of Raman spectroscopy in differentiating brain tumor from normal brain tissue. Oncotarget. 2017;8:36824-36831. [PMID: 28415660 DOI: 10.18632/oncotarget.15975] [Cited by in Crossref: 21] [Cited by in F6Publishing: 19] [Article Influence: 5.3] [Reference Citation Analysis]
11 Liu Y, Zhu Y, Li Z. Application of Raman spectroscopy in Andrology: non-invasive analysis of tissue and single cell. Transl Androl Urol 2014;3:125-33. [PMID: 26816760 DOI: 10.3978/j.issn.2223-4683.2014.03.01] [Cited by in F6Publishing: 4] [Reference Citation Analysis]
12 Coda S, Thompson AJ, Kennedy GT, Roche KL, Ayaru L, Bansi DS, Stamp GW, Thillainayagam AV, French PM, Dunsby C. Fluorescence lifetime spectroscopy of tissue autofluorescence in normal and diseased colon measured ex vivo using a fiber-optic probe. Biomed Opt Express 2014;5:515-38. [PMID: 24575345 DOI: 10.1364/BOE.5.000515] [Cited by in Crossref: 41] [Cited by in F6Publishing: 20] [Article Influence: 5.1] [Reference Citation Analysis]
13 Horgan CC, Bergholt MS, Nagelkerke A, Thin MZ, Pence IJ, Kauscher U, Kalber TL, Stuckey DJ, Stevens MM. Integrated photodynamic Raman theranostic system for cancer diagnosis, treatment, and post-treatment molecular monitoring. Theranostics 2021;11:2006-19. [PMID: 33408795 DOI: 10.7150/thno.53031] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
14 Li JH, Li WT, Zhang GH. Detection of nasopharyngeal carcinoma using deep NIR Raman spectroscopy. Laser Phys 2014;24:125601. [DOI: 10.1088/1054-660x/24/12/125601] [Cited by in Crossref: 2] [Article Influence: 0.3] [Reference Citation Analysis]
15 Darienzo RE, Wang J, Chen O, Sullivan M, Mironava T, Kim H, Tannenbaum R. Surface-Enhanced Raman Spectroscopy Characterization of Breast Cell Phenotypes: Effect of Nanoparticle Geometry. ACS Appl Nano Mater 2019;2:6960-70. [PMID: 34308266 DOI: 10.1021/acsanm.9b01436] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
16 Nie Z, Yeh SA, LePalud M, Badr F, Tse F, Armstrong D, Liu LWC, Deen MJ, Fang Q. Optical Biopsy of the Upper GI Tract Using Fluorescence Lifetime and Spectra. Front Physiol 2020;11:339. [PMID: 32477151 DOI: 10.3389/fphys.2020.00339] [Reference Citation Analysis]
17 Ming LC, Gangodu NR, Loh T, Zheng W, Wang J, Lin K, Zhiwei H. Real time near-infrared Raman spectroscopy for the diagnosis of nasopharyngeal cancer. Oncotarget 2017;8:49443-50. [PMID: 28533478 DOI: 10.18632/oncotarget.17703] [Cited by in Crossref: 18] [Cited by in F6Publishing: 11] [Article Influence: 4.5] [Reference Citation Analysis]
18 Niu PH, Zhao LL, Wu HL, Zhao DB, Chen YT. Artificial intelligence in gastric cancer: Application and future perspectives. World J Gastroenterol 2020; 26(36): 5408-5419 [PMID: 33024393 DOI: 10.3748/wjg.v26.i36.5408] [Cited by in CrossRef: 12] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
19 Warszawik-Hendzel O, Olszewska M, Maj M, Rakowska A, Czuwara J, Rudnicka L. Non-invasive diagnostic techniques in the diagnosis of squamous cell carcinoma. J Dermatol Case Rep 2015;9:89-97. [PMID: 26848316 DOI: 10.3315/jdcr.2015.1221] [Cited by in Crossref: 31] [Cited by in F6Publishing: 22] [Article Influence: 4.4] [Reference Citation Analysis]
20 Sloan-Dennison S, Laing S, Graham D, Faulds K. From Raman to SESORRS: moving deeper into cancer detection and treatment monitoring. Chem Commun (Camb) 2021;57:12436-51. [PMID: 34734952 DOI: 10.1039/d1cc04805h] [Reference Citation Analysis]
21 Omar E. Future Imaging Alternatives: The Clinical Non-invasive Modalities in Diagnosis of Oral Squamous Cell Carcinoma (OSCC). Open Dent J 2015;9:311-8. [PMID: 26464601 DOI: 10.2174/1874210601509010311] [Cited by in Crossref: 4] [Cited by in F6Publishing: 7] [Article Influence: 0.6] [Reference Citation Analysis]
22 Sharma N, Takeshita N, Ho KY. Raman Spectroscopy for the Endoscopic Diagnosis of Esophageal, Gastric, and Colonic Diseases. Clin Endosc 2016;49:404-7. [PMID: 27653440 DOI: 10.5946/ce.2016.100] [Cited by in Crossref: 19] [Cited by in F6Publishing: 14] [Article Influence: 3.2] [Reference Citation Analysis]
23 Choi J, Martin SJ, Tripp RA, Tompkins SM, Dluhy RA. Detection of neuraminidase stalk motifs associated with enhanced N1 subtype influenza A virulence via Raman spectroscopy. Analyst 2015;140:7748-60. [PMID: 26460183 DOI: 10.1039/c5an00977d] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
24 Alfonso-García A, Paugh J, Farid M, Garg S, Jester JV, Potma EO. A machine learning framework to analyze hyperspectral stimulated Raman scattering microscopy images of expressed human meibum. J Raman Spectrosc 2017;48:803-12. [PMID: 28943709 DOI: 10.1002/jrs.5118] [Cited by in Crossref: 12] [Cited by in F6Publishing: 7] [Article Influence: 2.4] [Reference Citation Analysis]
25 Horgan CC, Bergholt MS, Thin MZ, Nagelkerke A, Kennedy R, Kalber TL, Stuckey DJ, Stevens MM. Image-guided Raman spectroscopy probe-tracking for tumor margin delineation. J Biomed Opt 2021;26. [PMID: 33715315 DOI: 10.1117/1.JBO.26.3.036002] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
26 Graham DG, Banks MR. Advances in upper gastrointestinal endoscopy. F1000Res. 2015;4. [PMID: 26918137 DOI: 10.12688/f1000research.6961.1] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
27 Fonseca EA, Lafeta L, Luiz Campos J, Cunha R, Barbosa A, Romano-Silva MA, Vieira R, Malard LM, Jorio A. Micro-Raman spectroscopy of lipid halo and dense-core amyloid plaques: aging process characterization in the Alzheimer's disease APPswePS1ΔE9 mouse model. Analyst 2021;146:6014-25. [PMID: 34505596 DOI: 10.1039/d1an01078f] [Reference Citation Analysis]
28 Lin K, Zheng W, Lim CM, Huang Z. Real-time In vivo Diagnosis of Nasopharyngeal Carcinoma Using Rapid Fiber-Optic Raman Spectroscopy. Theranostics 2017;7:3517-26. [PMID: 28912892 DOI: 10.7150/thno.16359] [Cited by in Crossref: 34] [Cited by in F6Publishing: 23] [Article Influence: 6.8] [Reference Citation Analysis]
29 Browning CM, Deal J, Mayes S, Arshad A, Rich TC, Leavesley SJ. Excitation-scanning hyperspectral video endoscopy: enhancing the light at the end of the tunnel. Biomed Opt Express 2021;12:247-71. [PMID: 33520384 DOI: 10.1364/BOE.411640] [Reference Citation Analysis]
30 Wang J, Lin K, Zheng W, Ho KY, Teh M, Yeoh KG, Huang Z. Simultaneous fingerprint and high-wavenumber fiber-optic Raman spectroscopy improves in vivo diagnosis of esophageal squamous cell carcinoma at endoscopy. Sci Rep. 2015;5:12957. [PMID: 26243571 DOI: 10.1038/srep12957] [Cited by in Crossref: 36] [Cited by in F6Publishing: 31] [Article Influence: 5.1] [Reference Citation Analysis]
31 Qiu S, Li M, Liu J, Chen X, Lin T, Xu Y, Chen Y, Weng Y, Pan Y, Feng S, Lin X, Zhang L, Lin D. Study on the chemodrug-induced effect in nasopharyngeal carcinoma cells using laser tweezer Raman spectroscopy. Biomed Opt Express 2020;11:1819-33. [PMID: 32341850 DOI: 10.1364/BOE.388785] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
32 Shu C, Yan H, Zheng W, Lin K, James A, Selvarajan S, Lim CM, Huang Z. Deep Learning-Guided Fiberoptic Raman Spectroscopy Enables Real-Time In Vivo Diagnosis and Assessment of Nasopharyngeal Carcinoma and Post-treatment Efficacy during Endoscopy. Anal Chem 2021;93:10898-906. [PMID: 34319713 DOI: 10.1021/acs.analchem.1c01559] [Reference Citation Analysis]
33 Kim HH. Endoscopic Raman Spectroscopy for Molecular Fingerprinting of Gastric Cancer: Principle to Implementation. Biomed Res Int. 2015;2015:670121. [PMID: 26106612 DOI: 10.1155/2015/670121] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.6] [Reference Citation Analysis]
34 Lin K, Zheng W, Lim CM, Huang Z. Real-time in vivo diagnosis of laryngeal carcinoma with rapid fiber-optic Raman spectroscopy. Biomed Opt Express 2016;7:3705-15. [PMID: 27699131 DOI: 10.1364/BOE.7.003705] [Cited by in Crossref: 23] [Cited by in F6Publishing: 8] [Article Influence: 3.8] [Reference Citation Analysis]
35 Zhou Y, Liu CH, Sun Y, Pu Y, Boydston-White S, Liu Y, Alfano RR. Human brain cancer studied by resonance Raman spectroscopy. J Biomed Opt 2012;17:116021. [PMID: 23154776 DOI: 10.1117/1.JBO.17.11.116021] [Cited by in Crossref: 95] [Cited by in F6Publishing: 23] [Article Influence: 10.6] [Reference Citation Analysis]