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Cited by in CrossRef
For: Inomata H, Tamai N, Aihara H, Sumiyama K, Saito S, Kato T, Tajiri H. Efficacy of a novel auto-fluorescence imaging system with computer-assisted color analysis for assessment of colorectal lesions. World J Gastroenterol 2013; 19(41): 7146-7153 [PMID: 24222959 DOI: 10.3748/wjg.v19.i41.7146]
URL: https://www.wjgnet.com/1007-9327/full/v19/i41/7146.htm
Number Citing Articles
1
Shin‐ei Kudo, Yuichi Mori, Masashi Misawa, Kenichi Takeda, Toyoki Kudo, Hayato Itoh, Masahiro Oda, Kensaku Mori. Artificial intelligence and colonoscopy: Current status and future perspectivesDigestive Endoscopy 2019; 31(4): 363 doi: 10.1111/den.13340
2
Kenichi Goda, Tomohiro Kato, Hisao Tajiri. Endoscopic diagnosis of early Barrett's neoplasia: Perspectives for advanced endoscopic technologyDigestive Endoscopy 2014; 26(3): 311 doi: 10.1111/den.12294
3
Gerard Cummins, Benjamin F. Cox, Gastone Ciuti, Thineskrishna Anbarasan, Marc P. Y. Desmulliez, Sandy Cochran, Robert Steele, John N. Plevris, Anastasios Koulaouzidis. Gastrointestinal diagnosis using non-white light imaging capsule endoscopyNature Reviews Gastroenterology & Hepatology 2019; 16(7): 429 doi: 10.1038/s41575-019-0140-z
4
Athanasia Mitsala, Christos Tsalikidis, Michail Pitiakoudis, Constantinos Simopoulos, Alexandra K. Tsaroucha. Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New EraCurrent Oncology 2021; 28(3): 1581 doi: 10.3390/curroncol28030149
5
Quentin Angermann, Aymeric Histace, Olivier Romain. Active Learning for Real Time Detection of Polyps in VideocolonoscopyProcedia Computer Science 2016; 90: 182 doi: 10.1016/j.procs.2016.07.017
6
Natalia Strzelczyk, Sebastian Kwiatek, Wojciech Latos, Aleksander Sieroń, Agata Stanek. Does the Numerical Colour Value (NCV) correlate with preneoplastic and neoplastic colorectal lesions?Photodiagnosis and Photodynamic Therapy 2018; 23: 353 doi: 10.1016/j.pdpdt.2018.07.012
7
Steven Sensarn, Cristina L. Zavaleta, Ehud Segal, Stephan Rogalla, Wansik Lee, Sanjiv S. Gambhir, Matthew Bogyo, Christopher H. Contag. A Clinical Wide-Field Fluorescence Endoscopic Device for Molecular Imaging Demonstrating Cathepsin Protease Activity in Colon CancerMolecular Imaging and Biology 2016; 18(6): 820 doi: 10.1007/s11307-016-0956-7
8
Cristina Sánchez-Montes, Jorge Bernal, Ana García-Rodríguez, Henry Córdova, Gloria Fernández-Esparrach. Revisión de métodos computacionales de detección y clasificación de pólipos en imagen de colonoscopiaGastroenterología y Hepatología 2020; 43(4): 222 doi: 10.1016/j.gastrohep.2019.11.004
9
Jorge Bernal, Nima Tajkbaksh, Francisco Javier Sanchez, Bogdan J. Matuszewski, Hao Chen, Lequan Yu, Quentin Angermann, Olivier Romain, Bjorn Rustad, Ilangko Balasingham, Konstantin Pogorelov, Sungbin Choi, Quentin Debard, Lena Maier-Hein, Stefanie Speidel, Danail Stoyanov, Patrick Brandao, Henry Cordova, Cristina Sanchez-Montes, Suryakanth R. Gurudu, Gloria Fernandez-Esparrach, Xavier Dray, Jianming Liang, Aymeric Histace. Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision ChallengeIEEE Transactions on Medical Imaging 2017; 36(6): 1231 doi: 10.1109/TMI.2017.2664042
10
Kamil Bochynek, David Aebisher, Monika Gasiorek, Grzegorz Cieślar, Aleksandra Kawczyk-Krupka. Evaluation of autofluorescence and photodynamic diagnosis in assessment of bladder lesionsPhotodiagnosis and Photodynamic Therapy 2020; 30: 101719 doi: 10.1016/j.pdpdt.2020.101719
11
Daniela Guerrero Vinsard, Yuichi Mori, Masashi Misawa, Shin-ei Kudo, Amit Rastogi, Ulas Bagci, Douglas K. Rex, Michael B. Wallace. Quality assurance of computer-aided detection and diagnosis in colonoscopyGastrointestinal Endoscopy 2019; 90(1): 55 doi: 10.1016/j.gie.2019.03.019
12
SHINICHIRO YOSHIOKA, KEIICHI MITSUYAMA, HIDETOSHI TAKEDATSU, KOTARO KUWAKI, RYOSUKE YAMAUCHI, HIROSHI YAMASAKI, SHUHEI FUKUNAGA, JUN AKIBA, TETSUSHI KINUGASA, YOSHITO AKAGI, OSAMU TSURUTA, TAKUJI TORIMURA. Advanced endoscopic features of ulcerative colitis-associated neoplasias: Quantification of autofluorescence imagingInternational Journal of Oncology 2016; 48(2): 551 doi: 10.3892/ijo.2015.3284
13
Rahul Pannala, Kumar Krishnan, Joshua Melson, Mansour A. Parsi, Allison R. Schulman, Shelby Sullivan, Guru Trikudanathan, Arvind J. Trindade, Rabindra R. Watson, John T. Maple, David R. Lichtenstein. Artificial intelligence in gastrointestinal endoscopyVideoGIE 2020; 5(12): 598 doi: 10.1016/j.vgie.2020.08.013
14
Anju Sharma, Rajnish Kumar, Garima Yadav, Prabha Garg. Artificial intelligence in intestinal polyp and colorectal cancer predictionCancer Letters 2023; 565: 216238 doi: 10.1016/j.canlet.2023.216238
15
Naoto Tamai, Hiroko Inomata, Daisuke Ide, Akira Dobashi, Shoichi Saito, Kazuki Sumiyama. Effectiveness of color intensity analysis using updated autofluorescence imaging systems for serrated lesionsDigestive Endoscopy 2016; 28(S1): 49 doi: 10.1111/den.12602
16
Quentin Angermann, Aymeric Histace, Maroua Hammami, Mehdi Terosiet, Lionel Faurlini, Olivier Romain. Hardware Platforms Benchmark For Real-Time Polyp Detection2017 Euromicro Conference on Digital System Design (DSD) 2017; : 451 doi: 10.1109/DSD.2017.65
17
Octav Ginghina, Ariana Hudita, Marius Zamfir, Andrada Spanu, Mara Mardare, Irina Bondoc, Laura Buburuzan, Sergiu Emil Georgescu, Marieta Costache, Carolina Negrei, Cornelia Nitipir, Bianca Galateanu. Liquid Biopsy and Artificial Intelligence as Tools to Detect Signatures of Colorectal Malignancies: A Modern Approach in Patient’s StratificationFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.856575
18
Shiro Oka, Naoto Tamai, Hiroaki Ikematsu, Takuji Kawamura, Manabu Sawaya, Yoji Takeuchi, Toshio Uraoka, Tomohiko Moriyama, Hiroshi Kawano, Takahisa Matsuda. Improved visibility of colorectal flat tumors using image‐enhanced endoscopyDigestive Endoscopy 2015; 27(S1): 35 doi: 10.1111/den.12445
19
Kyeong Ok Kim, Eun Young Kim. Application of Artificial Intelligence in the Detection and Characterization of Colorectal NeoplasmGut and Liver 2021; 15(3): 346 doi: 10.5009/gnl20186
20
Yu Kamitani, Kouichi Nonaka, Hajime Isomoto. Current Status and Future Perspectives of Artificial Intelligence in ColonoscopyJournal of Clinical Medicine 2022; 11(10): 2923 doi: 10.3390/jcm11102923
21
Shoichi Saito, Hisao Tajiri, Masahiro Ikegami. Endoscopic features of submucosal deeply invasive colorectal cancer with NBI characteristicsClinical Journal of Gastroenterology 2015; 8(6): 353 doi: 10.1007/s12328-015-0616-5
22
Yuichi Mori, Shin-ei Kudo, Masashi Misawa, Kenichi Takeda, Toyoki Kudo, Hayato Itoh, Masahiro Oda, Kensaku Mori. Artificial Intelligence for Colorectal Polyp Detection and CharacterizationCurrent Treatment Options in Gastroenterology 2020; 18(2): 200 doi: 10.1007/s11938-020-00287-x
23
Jonas Wizenty, Teresa Schumann, Donna Theil, Martin Stockmann, Johann Pratschke, Frank Tacke, Felix Aigner, Tilo Wuensch. Recent Advances and the Potential for Clinical Use of Autofluorescence Detection of Extra-Ophthalmic TissuesMolecules 2020; 25(9): 2095 doi: 10.3390/molecules25092095
24
Hideka Horiuchi, Naoto Tamai, Shunsuke Kamba, Hiroko Inomata, Tomohiko R. Ohya, Kazuki Sumiyama. Real-time computer-aided diagnosis of diminutive rectosigmoid polyps using an auto-fluorescence imaging system and novel color intensity analysis softwareScandinavian Journal of Gastroenterology 2019; 54(6): 800 doi: 10.1080/00365521.2019.1627407
25
Eladio Rodriguez-Diaz, Lisa I. Jepeal, György Baffy, Wai-Kit Lo, Hiroshi MashimoMD, Ousama A’amar, Irving J. Bigio, Satish K. Singh. Artificial Intelligence-Based Assessment of Colorectal Polyp Histology by Elastic-Scattering SpectroscopyDigestive Diseases and Sciences 2022; 67(2): 613 doi: 10.1007/s10620-021-06901-x
26
Cristina Sánchez-Montes, Jorge Bernal, Ana García-Rodríguez, Henry Córdova, Gloria Fernández-Esparrach. Review of computational methods for the detection and classification of polyps in colonoscopy imagingGastroenterología y Hepatología (English Edition) 2020; 43(4): 222 doi: 10.1016/j.gastre.2019.11.003
27
Bhamini Vadhwana, Munir Tarazi, Vanash Patel. The Role of Artificial Intelligence in Prospective Real-Time Histological Prediction of Colorectal Lesions during Colonoscopy: A Systematic Review and Meta-AnalysisDiagnostics 2023; 13(20): 3267 doi: 10.3390/diagnostics13203267
28
Yuichi Mori, Shin-ei Kudo, James E. East, Amit Rastogi, Michael Bretthauer, Masashi Misawa, Masau Sekiguchi, Takahisa Matsuda, Yutaka Saito, Hiroaki Ikematsu, Kinichi Hotta, Kazuo Ohtsuka, Toyoki Kudo, Kensaku Mori. Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video)Gastrointestinal Endoscopy 2020; 92(4): 905 doi: 10.1016/j.gie.2020.03.3759
29
Joel Joseph, Ella Marie LePage, Catherine Phillips Cheney, Rishi Pawa. Artificial intelligence in colonoscopyWorld Journal of Gastroenterology 2021; 27(29): 4802-4817 doi: 10.3748/wjg.v27.i29.4802
30
Muhammad Awidi, Arindam Bagga. Artificial intelligence and machine learning in colorectal cancerArtificial Intelligence in Gastrointestinal Endoscopy 2022; 3(3): 31-43 doi: 10.37126/aige.v3.i3.31
31
Min Min, Song Su, Wenrui He, Yiliang Bi, Zhanyu Ma, Yan Liu. Computer-aided diagnosis of colorectal polyps using linked color imaging colonoscopy to predict histologyScientific Reports 2019; 9(1) doi: 10.1038/s41598-019-39416-7
32
Yutaka Okagawa, Seiichiro Abe, Masayoshi Yamada, Ichiro Oda, Yutaka Saito. Artificial Intelligence in EndoscopyDigestive Diseases and Sciences 2022; 67(5): 1553 doi: 10.1007/s10620-021-07086-z
33
Chanda Bhandari, John Fakhry, Menitte Eroy, Jane Junghwa Song, Kimberley Samkoe, Tayyaba Hasan, Kenneth Hoyt, Girgis Obaid. Towards Photodynamic Image-Guided Surgery of Head and Neck Tumors: Photodynamic Priming Improves Delivery and Diagnostic Accuracy of Cetuximab-IRDye800CWFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.853660