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For: 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: 29] [Article Influence: 6.5] [Reference Citation Analysis]
Number Citing Articles
1 Taylor-Williams M, Spicer G, Bale G, Bohndiek SE. Noninvasive hemoglobin sensing and imaging: optical tools for disease diagnosis. J Biomed Opt 2022;27. [PMID: 35922891 DOI: 10.1117/1.JBO.27.8.080901] [Reference Citation Analysis]
2 Xu J, Meng Y, Qiu K, Topatana W, Li S, Wei C, Chen T, Chen M, Ding Z, Niu G. Applications of Artificial Intelligence Based on Medical Imaging in Glioma: Current State and Future Challenges. Front Oncol 2022;12:892056. [DOI: 10.3389/fonc.2022.892056] [Reference Citation Analysis]
3 Lee J, Yoon J. Assessment of angle-dependent spectral distortion to develop accurate hyperspectral endoscopy. Sci Rep 2022;12:11892. [PMID: 35831360 DOI: 10.1038/s41598-022-16232-0] [Reference Citation Analysis]
4 Chalopin C, Nickel F, Pfahl A, Köhler H, Maktabi M, Thieme R, Sucher R, Jansen-Winkeln B, Studier-Fischer A, Seidlitz S, Maier-Hein L, Neumuth T, Melzer A, Müller-Stich BP, Gockel I. [Artificial intelligence and hyperspectral imaging for image-guided assistance in minimally invasive surgery]. Chirurgie (Heidelb) 2022. [PMID: 35798904 DOI: 10.1007/s00104-022-01677-w] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Studier-Fischer A, Seidlitz S, Sellner J, Özdemir B, Wiesenfarth M, Ayala L, Odenthal J, Knödler S, Kowalewski KF, Haney CM, Camplisson I, Dietrich M, Schmidt K, Salg GA, Kenngott HG, Adler TJ, Schreck N, Kopp-Schneider A, Maier-Hein K, Maier-Hein L, Müller-Stich BP, Nickel F. Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model. Sci Rep 2022;12:11028. [PMID: 35773276 DOI: 10.1038/s41598-022-15040-w] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
6 Gumbs AA, Grasso V, Bourdel N, Croner R, Spolverato G, Frigerio I, Illanes A, Abu Hilal M, Park A, Elyan E. The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature. Sensors 2022;22:4918. [DOI: 10.3390/s22134918] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Galdelli A, D’imperio M, Marchello G, Mancini A, Scaccia M, Sasso M, Frontoni E, Cannella F. A Novel Remote Visual Inspection System for Bridge Predictive Maintenance. Remote Sensing 2022;14:2248. [DOI: 10.3390/rs14092248] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Sun J, Wu Z, Wang L, Yao Q, Li M, Yao G. Adaptive denoising hyperspectral data for visualization enhancement of intraoperative tissue. J Biophotonics 2022;:e202200083. [PMID: 35460593 DOI: 10.1002/jbio.202200083] [Reference Citation Analysis]
9 Zenteno O, Trinh D, Treuillet S, Lucas Y, Bazin T, Lamarque D, Daul C. Optical biopsy mapping on endoscopic image mosaics with a marker-free probe. Computers in Biology and Medicine 2022;143:105234. [DOI: 10.1016/j.compbiomed.2022.105234] [Reference Citation Analysis]
10 Ayala L, Isensee F, Wirkert SJ, Vemuri AS, Maier-hein KH, Fei B, Maier-hein L. Band selection for oxygenation estimation with multispectral/hyperspectral imaging. Biomed Opt Express 2022;13:1224. [DOI: 10.1364/boe.441214] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
11 Yoon J. Hyperspectral Imaging for Clinical Applications. BioChip J. [DOI: 10.1007/s13206-021-00041-0] [Cited by in Crossref: 3] [Article Influence: 3.0] [Reference Citation Analysis]
12 Cinelli L, Felli E, Baratelli L, Ségaud S, Baiocchini A, Okamoto N, Rodríguez-Luna MR, Elmore U, Rosati R, Partelli S, Marescaux J, Gioux S, Diana M. Single Snapshot Imaging of Optical Properties (SSOP) for Perfusion Assessment during Gastric Conduit Creation for Esophagectomy: An Experimental Study on Pigs. Cancers (Basel) 2021;13:6079. [PMID: 34885189 DOI: 10.3390/cancers13236079] [Reference Citation Analysis]
13 Clancy NT, Soares AS, Bano S, Lovat LB, Chand M, Stoyanov D. Intraoperative colon perfusion assessment using multispectral imaging. Biomed Opt Express 2021;12:7556-67. [PMID: 35003852 DOI: 10.1364/BOE.435118] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
14 Dietrich M, Marx S, von der Forst M, Bruckner T, Schmitt FCF, Fiedler MO, Nickel F, Studier-Fischer A, Müller-Stich BP, Hackert T, Brenner T, Weigand MA, Uhle F, Schmidt K. Hyperspectral imaging for perioperative monitoring of microcirculatory tissue oxygenation and tissue water content in pancreatic surgery - an observational clinical pilot study. Perioper Med (Lond) 2021;10:42. [PMID: 34847953 DOI: 10.1186/s13741-021-00211-6] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
15 Maier-Hein L, Eisenmann M, Sarikaya D, März K, Collins T, Malpani A, Fallert J, Feussner H, Giannarou S, Mascagni P, Nakawala H, Park A, Pugh C, Stoyanov D, Vedula SS, Cleary K, Fichtinger G, Forestier G, Gibaud B, Grantcharov T, Hashizume M, Heckmann-Nötzel D, Kenngott HG, Kikinis R, Mündermann L, Navab N, Onogur S, Roß T, Sznitman R, Taylor RH, Tizabi MD, Wagner M, Hager GD, Neumuth T, Padoy N, Collins J, Gockel I, Goedeke J, Hashimoto DA, Joyeux L, Lam K, Leff DR, Madani A, Marcus HJ, Meireles O, Seitel A, Teber D, Ückert F, Müller-Stich BP, Jannin P, Speidel S. Surgical data science - from concepts toward clinical translation. Med Image Anal 2021;76:102306. [PMID: 34879287 DOI: 10.1016/j.media.2021.102306] [Cited by in Crossref: 14] [Cited by in F6Publishing: 12] [Article Influence: 14.0] [Reference Citation Analysis]
16 Barberio M, Benedicenti S, Pizzicannella M, Felli E, Collins T, Jansen-Winkeln B, Marescaux J, Viola MG, Diana M. Intraoperative Guidance Using Hyperspectral Imaging: A Review for Surgeons. Diagnostics (Basel) 2021;11:2066. [PMID: 34829413 DOI: 10.3390/diagnostics11112066] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
17 Collins T, Maktabi M, Barberio M, Bencteux V, Jansen-Winkeln B, Chalopin C, Marescaux J, Hostettler A, Diana M, Gockel I. Automatic Recognition of Colon and Esophagogastric Cancer with Machine Learning and Hyperspectral Imaging. Diagnostics (Basel) 2021;11:1810. [PMID: 34679508 DOI: 10.3390/diagnostics11101810] [Cited by in Crossref: 1] [Cited by in F6Publishing: 7] [Article Influence: 1.0] [Reference Citation Analysis]
18 Barberio M, Collins T, Bencteux V, Nkusi R, Felli E, Viola MG, Marescaux J, Hostettler A, Diana M. Deep Learning Analysis of In Vivo Hyperspectral Images for Automated Intraoperative Nerve Detection. Diagnostics (Basel) 2021;11:1508. [PMID: 34441442 DOI: 10.3390/diagnostics11081508] [Cited by in Crossref: 2] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
19 Mühle R, Markgraf W, Hilsmann A, Malberg H, Eisert P, Wisotzky EL. Comparison of different spectral cameras for image-guided organ transplantation. J Biomed Opt 2021;26. [PMID: 34304399 DOI: 10.1117/1.JBO.26.7.076007] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
20 Michael Ebner, Nabavi E, Shapey J, Xie Y, Liebmann F, Spirig JM, Hoch A, Farshad M, Saeed SR, Bradford R, Yardley I, Ourselin S, Edwards AD, Führnstahl P, Vercauteren T. Intraoperative hyperspectral label-free imaging: from system design to first-in-patient translation. J Phys D Appl Phys 2021;54:294003. [PMID: 34024940 DOI: 10.1088/1361-6463/abfbf6] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
21 Takamatsu T, Kitagawa Y, Akimoto K, Iwanami R, Endo Y, Takashima K, Okubo K, Umezawa M, Kuwata T, Sato D, Kadota T, Mitsui T, Ikematsu H, Yokota H, Soga K, Takemura H. Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging. Sensors (Basel) 2021;21:2649. [PMID: 33918935 DOI: 10.3390/s21082649] [Reference Citation Analysis]
22 Dietrich M, Marx S, von der Forst M, Bruckner T, Schmitt FCF, Fiedler MO, Nickel F, Studier-Fischer A, Müller-Stich BP, Hackert T, Brenner T, Weigand MA, Uhle F, Schmidt K. Bedside hyperspectral imaging indicates a microcirculatory sepsis pattern - an observational study. Microvasc Res 2021;136:104164. [PMID: 33831406 DOI: 10.1016/j.mvr.2021.104164] [Cited by in F6Publishing: 5] [Reference Citation Analysis]
23 Zenteno O, Treuillet S, Lucas Y. Pose estimation of a markerless fiber bundle for endoscopic optical biopsy. J Med Imaging (Bellingham) 2021;8:025001. [PMID: 33681409 DOI: 10.1117/1.JMI.8.2.025001] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
24 Jansen-Winkeln B, Barberio M, Chalopin C, Schierle K, Diana M, Köhler H, Gockel I, Maktabi M. Feedforward Artificial Neural Network-Based Colorectal Cancer Detection Using Hyperspectral Imaging: A Step towards Automatic Optical Biopsy. Cancers (Basel) 2021;13:967. [PMID: 33669082 DOI: 10.3390/cancers13050967] [Cited by in Crossref: 4] [Cited by in F6Publishing: 16] [Article Influence: 4.0] [Reference Citation Analysis]
25 Mehdorn AS, Beckmann JH, Braun F, Becker T, Egberts JH. Usability of Indocyanine Green in Robot-Assisted Hepatic Surgery. J Clin Med 2021;10:456. [PMID: 33503996 DOI: 10.3390/jcm10030456] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
26 Ma L, Fei B. Comprehensive review of surgical microscopes: technology development and medical applications. J Biomed Opt 2021;26. [PMID: 33398948 DOI: 10.1117/1.JBO.26.1.010901] [Cited by in Crossref: 5] [Cited by in F6Publishing: 13] [Article Influence: 5.0] [Reference Citation Analysis]
27 Chadebecq F, Vasconcelos F, Mazomenos E, Stoyanov D. Computer Vision in the Surgical Operating Room. Visc Med 2020;36:456-62. [PMID: 33447601 DOI: 10.1159/000511934] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 0.5] [Reference Citation Analysis]
28 Paraboschi I, De Coppi P, Stoyanov D, Anderson J, Giuliani S. Fluorescence imaging in pediatric surgery: State-of-the-art and future perspectives. J Pediatr Surg 2021;56:655-62. [PMID: 32900510 DOI: 10.1016/j.jpedsurg.2020.08.004] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
29 Zaffino P, Moccia S, De Momi E, Spadea MF. A Review on Advances in Intra-operative Imaging for Surgery and Therapy: Imagining the Operating Room of the Future. Ann Biomed Eng 2020;48:2171-91. [PMID: 32601951 DOI: 10.1007/s10439-020-02553-6] [Cited by in Crossref: 8] [Cited by in F6Publishing: 11] [Article Influence: 4.0] [Reference Citation Analysis]