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For: Christian K, Johanna M, Werner A, Kathrin B, Tesfay GM, Robert H, Abbas A, Stefan W, Andreas B, Wilhelm NF. Raman difference spectroscopy: a non-invasive method for identification of oral squamous cell carcinoma. Biomed Opt Express. 2014;5:3252-3265. [PMID: 25401036 DOI: 10.1364/boe.5.003252] [Cited by in Crossref: 50] [Cited by in F6Publishing: 51] [Article Influence: 5.6] [Reference Citation Analysis]
Number Citing Articles
1 Lin J, Lin D, Qiu S, Huang Z, Liu F, Huang W, Xu Y, Zhang X, Feng S. Shifted-excitation Raman difference spectroscopy for improving in vivo detection of nasopharyngeal carcinoma. Talanta 2023;257:124330. [PMID: 36773510 DOI: 10.1016/j.talanta.2023.124330] [Reference Citation Analysis]
2 Kolomijeca A, Kirkwood W, Diaz LA, Bachmayer R. Advancing Raman techniques for ocean applications. OCEANS 2022, Hampton Roads 2022. [DOI: 10.1109/oceans47191.2022.9977348] [Reference Citation Analysis]
3 Han R, Lin N, Huang J, Ma X. Diagnostic accuracy of Raman spectroscopy in oral squamous cell carcinoma. Front Oncol 2022;12:925032. [DOI: 10.3389/fonc.2022.925032] [Reference Citation Analysis]
4 Rana V, Fernandes J, Upadhyay P, Konwar DPR, Bhapkar K. Vast scope of raman spectroscopy in oral cancers and head & neck regions: A review. IJMI 2022;8:67-72. [DOI: 10.18231/j.ijmi.2022.016] [Reference Citation Analysis]
5 Timurzieva AB. Raman fl uorescence technologies for early detection of infl ammatory and oncological disorders as a part of public health strategy and a tool for improving the quality of medical care: a review. Lazernaâ medicina 2022;25:42-50. [DOI: 10.37895/2071-8004-2021-25-4-42-50] [Reference Citation Analysis]
6 Faur C, Falamas A, Chirila M, Roman R, Rotaru H, Moldovan M, Albu S, Baciut M, Robu I, Hedesiu M. Raman spectroscopy in oral cavity and oropharyngeal cancer: a systematic review. International Journal of Oral and Maxillofacial Surgery 2022. [DOI: 10.1016/j.ijom.2022.02.015] [Reference Citation Analysis]
7 Sharma M, Jeng MJ, Young CK, Huang SF, Chang LB. Developing an Algorithm for Discriminating Oral Cancerous and Normal Tissues Using Raman Spectroscopy. J Pers Med 2021;11:1165. [PMID: 34834517 DOI: 10.3390/jpm11111165] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
8 Wu X, Li S, Xu Q, Yan X, Fu Q, Fu X, Fang X, Zhang Y. Rapid and accurate identification of colon cancer by Raman spectroscopy coupled with convolutional neural networks. Jpn J Appl Phys 2021;60:067001. [DOI: 10.35848/1347-4065/ac0005] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
9 Matthies L, Gebrekidan MT, Tegtmeyer JF, Oetter N, Rohde M, Vollkommer T, Smeets R, Wilczak W, Stelzle F, Gosau M, Braeuer AS, Knipfer C. Optical diagnosis of oral cavity lesions by label-free Raman spectroscopy. Biomed Opt Express 2021;12:836-51. [PMID: 33680545 DOI: 10.1364/BOE.409456] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
10 Gebrekidan MT, Knipfer C, Braeuer AS. Refinement of spectra using a deep neural network: Fully automated removal of noise and background. J Raman Spectrosc 2021;52:723-36. [DOI: 10.1002/jrs.6053] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
11 Korinth F, Schmälzlin E, Stiebing C, Urrutia T, Micheva G, Sandin C, Müller A, Maiwald M, Sumpf B, Krafft C, Tränkle G, Roth MM, Popp J. Wide Field Spectral Imaging with Shifted Excitation Raman Difference Spectroscopy Using the Nod and Shuffle Technique. Sensors (Basel) 2020;20:E6723. [PMID: 33255459 DOI: 10.3390/s20236723] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
12 Jeng MJ, Sharma M, Sharma L, Huang SF, Chang LB, Wu SL, Chow L. Novel Quantitative Analysis Using Optical Imaging (VELscope) and Spectroscopy (Raman) Techniques for Oral Cancer Detection. Cancers (Basel) 2020;12:E3364. [PMID: 33202869 DOI: 10.3390/cancers12113364] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
13 Späth M, Hohmann M, Roider C, Lengenfelder B, Stelzle F, Wirtz S, Klämpfl F. Towards shifted position-diffuse reflectance imaging of anatomically correctly scaled human microvasculature. Sci Rep 2020;10:17391. [PMID: 33060791 DOI: 10.1038/s41598-020-74447-5] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
14 Zhan Q, Li Y, Yuan Y, Liu J, Li Y. The accuracy of Raman spectroscopy in the detection and diagnosis of oral cancer: A systematic review and meta‐analysis. J Raman Spectrosc 2020;51:2377-97. [DOI: 10.1002/jrs.5940] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 2.3] [Reference Citation Analysis]
15 Xia J, Zhu L, Yu M, Zhang T, Zhu Z, Lou X, Sun G, Dong M. Analysis and classification of oral tongue squamous cell carcinoma based on Raman spectroscopy and convolutional neural networks. Journal of Modern Optics 2020;67:481-9. [DOI: 10.1080/09500340.2020.1742395] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 2.3] [Reference Citation Analysis]
16 Bashkatov AN, Zakharov VP, Bucharskaya AB, Borisova EG, Khristoforova YA, Genina EA, Tuchin VV. Malignant Tissue Optical Properties. Multimodal Optical Diagnostics of Cancer 2020. [DOI: 10.1007/978-3-030-44594-2_1] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
17 Ralbovsky NM, Lednev IK. Raman Spectroscopy and Advanced Statistics for Cancer Diagnostics. Multimodal Optical Diagnostics of Cancer 2020. [DOI: 10.1007/978-3-030-44594-2_8] [Reference Citation Analysis]
18 Jeng MJ, Sharma M, Sharma L, Chao TY, Huang SF, Chang LB, Wu SL, Chow L. Raman Spectroscopy Analysis for Optical Diagnosis of Oral Cancer Detection. J Clin Med 2019;8:E1313. [PMID: 31461884 DOI: 10.3390/jcm8091313] [Cited by in Crossref: 37] [Cited by in F6Publishing: 38] [Article Influence: 9.3] [Reference Citation Analysis]
19 Holler S, Haig B, Riviere R, Vaccarelli M, Donovan MJ, Sobrero M, Miles BA, Sanzari M. Spectroscopic analysis with a monolithic micro-structured microsphere fiber probe. Advanced Environmental, Chemical, and Biological Sensing Technologies XV 2019. [DOI: 10.1117/12.2524843] [Reference Citation Analysis]
20 Aubreville M, Goncalves M, Knipfer C, Oetter N, Würfl T, Neumann H, Stelzle F, Bohr C, Maier A. Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract. Biomedical Engineering Systems and Technologies 2019. [DOI: 10.1007/978-3-030-29196-9_4] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
21 Gebrekidan MT, Erber R, Hartmann A, Fasching PA, Emons J, Beckmann MW, Braeuer A. Breast Tumor Analysis Using Shifted-Excitation Raman Difference Spectroscopy (SERDS). Technol Cancer Res Treat 2018;17:1533033818782532. [PMID: 29991340 DOI: 10.1177/1533033818782532] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 2.6] [Reference Citation Analysis]
22 Nasir N, Al Bashier O, Murad AA, Al Ahmad M. Optical Detection of Dissolved Solids in Water Samples. 2018 IEEE 5th International Conference on Engineering Technologies and Applied Sciences (ICETAS) 2018. [DOI: 10.1109/icetas.2018.8629180] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.8] [Reference Citation Analysis]
23 Holler S, Haig B, Donovan MJ, Sobrero M, Miles BA. A monolithic microsphere-fiber probe for spatially resolved Raman spectroscopy: Application to head and neck squamous cell carcinomas. Rev Sci Instrum 2018;89:034301. [PMID: 29604745 DOI: 10.1063/1.5011771] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.6] [Reference Citation Analysis]
24 Cui X, Zhao Z, Zhang G, Chen S, Zhao Y, Lu J. Analysis and classification of kidney stones based on Raman spectroscopy. Biomed Opt Express 2018;9:4175-83. [PMID: 30615745 DOI: 10.1364/BOE.9.004175] [Cited by in Crossref: 22] [Cited by in F6Publishing: 24] [Article Influence: 4.4] [Reference Citation Analysis]
25 Schuster JJ, Bahr LA, Fehr L, Tippelt M, Schulmeyr J, Wuzik A, Braeuer AS. Online monitoring of the supercritical CO2 extraction of hop. The Journal of Supercritical Fluids 2018;133:139-45. [DOI: 10.1016/j.supflu.2017.10.006] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 1.6] [Reference Citation Analysis]
26 Aubreville M, Knipfer C, Oetter N, Jaremenko C, Rodner E, Denzler J, Bohr C, Neumann H, Stelzle F, Maier A. Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning. Sci Rep 2017;7:11979. [PMID: 28931888 DOI: 10.1038/s41598-017-12320-8] [Cited by in Crossref: 130] [Cited by in F6Publishing: 134] [Article Influence: 21.7] [Reference Citation Analysis]
27 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: 38] [Cited by in F6Publishing: 38] [Article Influence: 6.3] [Reference Citation Analysis]
28 Yang T, Zheng J. Biological tissues identification from their spectral signals acquired by a Raman needle. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2017. [DOI: 10.1109/embc.2017.8037310] [Reference Citation Analysis]
29 Adeola HA, Soyele OO, Adefuye AO, Jimoh SA, Butali A. Omics-based molecular techniques in oral pathology centred cancer: prospect and challenges in Africa. Cancer Cell Int 2017;17:61. [PMID: 28592923 DOI: 10.1186/s12935-017-0432-8] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 0.8] [Reference Citation Analysis]
30 Holler S, Mansley E, Mazzeo C, Donovan MJ, Sobrero M, Miles BA. Raman Spectroscopy of Head and Neck Cancer: Separation of Malignant and Healthy Tissue Using Signatures Outside the "Fingerprint" Region. Biosensors (Basel) 2017;7:E20. [PMID: 28505107 DOI: 10.3390/bios7020020] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 0.8] [Reference Citation Analysis]
31 Bocklitz TW, Salah FS, Vogler N, Heuke S, Chernavskaia O, Schmidt C, Waldner MJ, Greten FR, Bräuer R, Schmitt M, Stallmach A, Petersen I, Popp J. Pseudo-HE images derived from CARS/TPEF/SHG multimodal imaging in combination with Raman-spectroscopy as a pathological screening tool. BMC Cancer 2016;16:534. [PMID: 27460472 DOI: 10.1186/s12885-016-2520-x] [Cited by in Crossref: 54] [Cited by in F6Publishing: 57] [Article Influence: 7.7] [Reference Citation Analysis]
32 Abdrabu R, Sharma SK, Khraiwesh B, Jijakli K, Nelson DR, Alzahmi A, Koussa J, Sultana M, Khapli S, Jagannathan R, Salehi-ashtiani K. Single-Cell Characterization of Microalgal Lipid Contents with Confocal Raman Microscopy. Series in BioEngineering 2016. [DOI: 10.1007/978-3-662-49118-8_14] [Cited by in Crossref: 1] [Article Influence: 0.1] [Reference Citation Analysis]
33 Sharma G. Diagnostic aids in detection of oral cancer: An update. World J Stomatol 2015; 4(3): 115-120 [DOI: 10.5321/wjs.v4.i3.115] [Cited by in CrossRef: 6] [Cited by in F6Publishing: 6] [Article Influence: 0.8] [Reference Citation Analysis]
34 Knipfer C, Motz J, Adler W, Brunner K, Gebrekidan MT, Hankel R, Agaimy A, Will S, Braeuer A, Neukam FW, Stelzle F. Erratum: Raman difference spectroscopy: a non-invasive method for identification of oral squamous cell carcinoma: publisher's note. Biomed Opt Express 2015;6:2675. [PMID: 26203390 DOI: 10.1364/BOE.6.002675] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
35 Zhu S, Su K, Liu Y, Yin H, Li Z, Huang F, Chen Z, Chen W, Zhang G, Chen Y. Identification of cancerous gastric cells based on common features extracted from hyperspectral microscopic images. Biomed Opt Express 2015;6:1135-45. [PMID: 25909000 DOI: 10.1364/BOE.6.001135] [Cited by in Crossref: 32] [Cited by in F6Publishing: 32] [Article Influence: 4.0] [Reference Citation Analysis]