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Cited by in F6Publishing
For: Saccomandi P, Larocca ES, Rendina V, Schena E, D'Ambrosio R, Crescenzi A, Di Matteo FM, Silvestri S. Estimation of optical properties of neuroendocrine pancreas tumor with double-integrating-sphere system and inverse Monte Carlo model. Lasers Med Sci 2016;31:1041-50. [PMID: 27147075 DOI: 10.1007/s10103-016-1948-1] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 0.7] [Reference Citation Analysis]
Number Citing Articles
1 Pantelis AG, Panagopoulou PA, Lapatsanis DP. Artificial Intelligence and Machine Learning in the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms—A Scoping Review. Diagnostics 2022;12:874. [DOI: 10.3390/diagnostics12040874] [Reference Citation Analysis]
2 Akhter F, Manrique-Bedoya S, Moreau C, Smith AL, Feng Y, Mayer KM, Hood RL. Characterization of thermal and optical properties in porcine pancreas tissue. Lasers Surg Med 2022. [PMID: 35170764 DOI: 10.1002/lsm.23523] [Reference Citation Analysis]
3 Clancy NT, Jones G, Maier-Hein L, Elson DS, Stoyanov D. Surgical spectral imaging. Med Image Anal 2020;63:101699. [PMID: 32375102 DOI: 10.1016/j.media.2020.101699] [Cited by in Crossref: 13] [Cited by in F6Publishing: 12] [Article Influence: 6.5] [Reference Citation Analysis]
4 Truong VG, Jeong S, Park JS, Tran VN, Kim SM, Lee DH, Kang HW. Endoscopic ultrasound (EUS)-guided cylindrical interstitial laser ablation (CILA) on in vivo porcine pancreas. Biomed Opt Express 2021;12:4423-37. [PMID: 34457423 DOI: 10.1364/BOE.427379] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]