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For: André B, Vercauteren T, Buchner AM, Krishna M, Ayache N, Wallace MB. Software for automated classification of probe-based confocal laser endomicroscopy videos of colorectal polyps. World J Gastroenterol 2012; 18(39): 5560-5569 [PMID: 23112548 DOI: 10.3748/wjg.v18.i39.5560]
URL: https://www.wjgnet.com/1007-9327/full/v18/i39/5560.htm
Number Citing Articles
1
Madalina Stan-Ilie, Vasile Sandru, Gabriel Constantinescu, Oana-Mihaela Plotogea, Ecaterina Mihaela Rinja, Iulia Florentina Tincu, Alexandra Jichitu, Adriana Elena Carasel, Andreea Cristina Butuc, Bogdan Popa. Artificial Intelligence—The Rising Star in the Field of Gastroenterology and HepatologyDiagnostics 2023; 13(4): 662 doi: 10.3390/diagnostics13040662
2
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
3
A. J. Thompson, Guang-Zhong Yang. Implantable Sensors and Systems2018; : 439 doi: 10.1007/978-3-319-69748-2_6
4
Samyakh Tukra, Niklas Lidströmer, Hutan Ashrafian, Stamatia Giannarou. Artificial Intelligence in Medicine2021; : 1 doi: 10.1007/978-3-030-58080-3_323-1
5
Mazen R. Al-Mansour, Antonio Caycedo-Marulanda, Brian R. Davis, Abdulrahim Alawashez, Salvatore Docimo, Alia Qureshi, Shawn Tsuda. SAGES TAVAC safety and efficacy analysis confocal laser endomicroscopySurgical Endoscopy 2021; 35(5): 2091 doi: 10.1007/s00464-020-07607-3
6
Peiling Gan, Peiling Li, Huifang Xia, Xian Zhou, Xiaowei Tang. The application of artificial intelligence in improving colonoscopic adenoma detection rate: Where are we and where are we goingGastroenterología y Hepatología 2023; 46(3): 203 doi: 10.1016/j.gastrohep.2022.03.009
7
Shraddha Gulati, Mehul Patel, Andrew Emmanuel, Amyn Haji, Bu'Hussain Hayee, Helmut Neumann. The future of endoscopy: Advances in endoscopic image innovationsDigestive Endoscopy 2020; 32(4): 512 doi: 10.1111/den.13481
8
Timo Rath, Nadine Morgenstern, Francesco Vitali, Raja Atreya, Markus F. Neurath. Advanced Endoscopic Imaging in Colonic NeoplasiaVisceral Medicine 2020; 36(1): 48 doi: 10.1159/000505411
9
Ming-De Li, Ze-Rong Huang, Quan-Yuan Shan, Shu-Ling Chen, Ning Zhang, Hang-Tong Hu, Wei Wang. Performance and comparison of artificial intelligence and human experts in the detection and classification of colonic polypsBMC Gastroenterology 2022; 22(1) doi: 10.1186/s12876-022-02605-2
10
Arif A. Arif, Shirley X. Jiang, Michael F. Byrne. Artificial intelligence in endoscopy: Overview, applications, and future directionsSaudi Journal of Gastroenterology 2023; 29(5): 269 doi: 10.4103/sjg.sjg_286_23
11
Linda K Wanders, James E East, Sanne E Uitentuis, Mariska M G Leeflang, Evelien Dekker. Diagnostic performance of narrowed spectrum endoscopy, autofluorescence imaging, and confocal laser endomicroscopy for optical diagnosis of colonic polyps: a meta-analysisThe Lancet Oncology 2013; 14(13): 1337 doi: 10.1016/S1470-2045(13)70509-6
12
Eugene Shkolyar, Mark A. Laurie, Kathleen E. Mach, Dharati R. Trivedi, Dimitar V. Zlatev, Timothy C. Chang, Thomas J. Metzner, John T. Leppert, Chia-Sui Kao, Joseph C. Liao. Optical biopsy of penile cancer with in vivo confocal laser endomicroscopyUrologic Oncology: Seminars and Original Investigations 2019; 37(11): 809.e1 doi: 10.1016/j.urolonc.2019.08.018
13
Andreas Dittberner, Erik Rodner, Wolfgang Ortmann, Joachim Stadler, Carsten Schmidt, Iver Petersen, Andreas Stallmach, Joachim Denzler, Orlando Guntinas–Lichius. Automated analysis of confocal laser endomicroscopy images to detect head and neck cancerHead & Neck 2016; 38(S1) doi: 10.1002/hed.24253
14
Christopher D. Atkinson, Satish K. Singh. Endoscopic Imaging Techniques and Tools2016; : 83 doi: 10.1007/978-3-319-30053-5_6
15
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
16
Antonios Perperidis, Kevin Dhaliwal, Stephen McLaughlin, Tom Vercauteren. Image computing for fibre-bundle endomicroscopy: A reviewMedical Image Analysis 2020; 62: 101620 doi: 10.1016/j.media.2019.101620
17
Peiling Gan, Peiling Li, Huifang Xia, Xian Zhou, Xiaowei Tang. The application of artificial intelligence in improving colonoscopic adenoma detection rate: Where are we and where are we goingGastroenterología y Hepatología (English Edition) 2023; 46(3): 203 doi: 10.1016/j.gastre.2022.03.012
18
Anna M Buchner, Michael B Wallace. In‐vivo microscopy in the diagnosis of intestinal neoplasia and inflammatory conditionsHistopathology 2015; 66(1): 137 doi: 10.1111/his.12597
19
Pietro Mascagni, Fabio Longo, Manuel Barberio, Barbara Seeliger, Vincent Agnus, Paola Saccomandi, Alexandre Hostettler, Jacques Marescaux, Michele Diana. New intraoperative imaging technologies: Innovating the surgeon’s eye toward surgical precisionJournal of Surgical Oncology 2018; 118(2): 265 doi: 10.1002/jso.25148
20
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
21
Yuichi Mori, Kensaku Mori. Multidisciplinary Computational Anatomy2022; : 337 doi: 10.1007/978-981-16-4325-5_45
22
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
23
Daniel Bui, Kathleen E. Mach, Dimitar V. Zlatev, Robert V. Rouse, John T. Leppert, Joseph C. Liao. A Pilot Study of In Vivo Confocal Laser Endomicroscopy of Upper Tract Urothelial CarcinomaJournal of Endourology 2015; 29(12): 1418 doi: 10.1089/end.2015.0523
24
Alan U. Sabino, Adriana V. Safatle-Ribeiro, Suzylaine S. Lima, Carlos F. S. Marques, Fauze Maluf-Filho, Alexandre F. Ramos. Machine Learning-Based Prediction of Responsiveness to Neoadjuvant Chemoradiotheapy in Locally Advanced Rectal Cancer Patients from Endomicroscopy Critical Reviews™ in Oncogenesis 2024; 29(2): 53 doi: 10.1615/CritRevOncog.2023050075
25
Stephanie P. Chen, Joseph C. Liao. Confocal Laser Endomicroscopy of Bladder and Upper Tract Urothelial Carcinoma: A New Era of Optical Diagnosis?Current Urology Reports 2014; 15(9) doi: 10.1007/s11934-014-0437-y
26
S. Bonheur, A.K. Eldaly, J. Westerfeld, D. Wilson, K. Dhaliwal, S. McLaughlin, A. Perperidis. Segmentation And Quantification Of Cellular Load In Pulmonary Endomicroscopic Images Using Convolutional Neural Networks2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) 2019; : 1018 doi: 10.1109/ISBI.2019.8759412
27
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
28
Anna M. Buchner, Prateek Sharma, Michael B. Wallace. Successful Training in Gastrointestinal Endoscopy2022; : 177 doi: 10.1002/9781119529675.ch15
29
Marc Aubreville, Christian Knipfer, Nicolai Oetter, Christian Jaremenko, Erik Rodner, Joachim Denzler, Christopher Bohr, Helmut Neumann, Florian Stelzle, Andreas Maier. Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep LearningScientific Reports 2017; 7(1) doi: 10.1038/s41598-017-12320-8
30
Mimi C. Tan, Sheena Bhushan, Timothy Quang, Richard Schwarz, Kalpesh H. Patel, Xinying Yu, Zhengqi Li, Guiqi Wang, Fan Zhang, Xueshan Wang, Hong Xu, Rebecca R. Richards-Kortum, Sharmila Anandasabapathy. Automated software-assisted diagnosis of esophageal squamous cell neoplasia using high-resolution microendoscopyGastrointestinal Endoscopy 2021; 93(4): 831 doi: 10.1016/j.gie.2020.07.007
31
Yuichi Mori, Shin-ei Kudo, Masashi Misawa, Hayato Itoh, Masahiro Oda, Kensaku Mori. Artificial intelligence for magnifying endoscopy, endocytoscopy, and confocal laser endomicroscopy of the colorectumTechniques and Innovations in Gastrointestinal Endoscopy 2020; 22(2): 56 doi: 10.1016/j.tgie.2019.150632
32
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
33
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
34
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
35
Athanasia Mitsala, Christos Tsalikidis, Michael Koukourakis, Alexandra Giatromanolaki, Michail Pitiakoudis. Interdisciplinary Cancer Research 2024;  doi: 10.1007/16833_2024_445
36
Samyakh Tukra, Niklas Lidströmer, Hutan Ashrafian, Stamatia Gianarrou. Artificial Intelligence in Medicine2022; : 835 doi: 10.1007/978-3-030-64573-1_323
37
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
38
Thomas K.L. Lui, Chuan-Guo Guo, Wai K. Leung. Accuracy of artificial intelligence on histology prediction and detection of colorectal polyps: a systematic review and meta-analysisGastrointestinal Endoscopy 2020; 92(1): 11 doi: 10.1016/j.gie.2020.02.033
39
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
40
Friedrich Foerster, Helmut Neumann. Innovative Endoscopic and Surgical Technology in the GI Tract2021; : 409 doi: 10.1007/978-3-030-78217-7_35
41
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
42
Veronika Volgger, Susanne Girschick, Stephan Ihrler, Anna Sophie Englhard, Herbert Stepp, Christian Stephan Betz. Evaluation of confocal laser endomicroscopy as an aid to differentiate primary flat lesions of the larynx: A prospective clinical studyHead & Neck 2016; 38(S1) doi: 10.1002/hed.24303
43
Hemant Goyal, Rupinder Mann, Zainab Gandhi, Abhilash Perisetti, Aman Ali, Khizar Aman Ali, Neil Sharma, Shreyas Saligram, Benjamin Tharian, Sumant Inamdar. Scope of Artificial Intelligence in Screening and Diagnosis of Colorectal CancerJournal of Clinical Medicine 2020; 9(10): 3313 doi: 10.3390/jcm9103313
44
Pushpak Taunk, Christopher D. Atkinson, David Lichtenstein, Eladio Rodriguez-Diaz, Satish K. Singh. Computer-assisted assessment of colonic polyp histopathology using probe-based confocal laser endomicroscopyInternational Journal of Colorectal Disease 2019; 34(12): 2043 doi: 10.1007/s00384-019-03406-y
45
Yachun Li, Patra Charalampaki, Yong Liu, Guang-Zhong Yang, Stamatia Giannarou. Context aware decision support in neurosurgical oncology based on an efficient classification of endomicroscopic dataInternational Journal of Computer Assisted Radiology and Surgery 2018; 13(8): 1187 doi: 10.1007/s11548-018-1806-7
46
Shraddha Gulati, Andrew Emmanuel, Mehul Patel, Sophie Williams, Amyn Haji, Bu’Hussain Hayee, Helmut Neumann. Artificial intelligence in luminal endoscopyTherapeutic Advances in Gastrointestinal Endoscopy 2020; 13: 263177452093522 doi: 10.1177/2631774520935220
47
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
48
Huahui Zhang, Zhongyu He, Ziyi Jin, Qinglai Yan, Peng Wang, Xuesong Ye. The development and clinical application of microscopic endoscopy for in vivo optical biopsies: Endocytoscopy and confocal laser endomicroscopyPhotodiagnosis and Photodynamic Therapy 2022; 38: 102826 doi: 10.1016/j.pdpdt.2022.102826
49
Yuichi Mori, Shin-ei Kudo. Endoscopic Management of Colorectal T1(SM) Carcinoma2020; : 45 doi: 10.1007/978-981-13-6649-9_6
50
Daljeet Chahal, Neal Shahidi, Michael F. Byrne. Digital Surgery2021; : 319 doi: 10.1007/978-3-030-49100-0_24
51
Weijun Wang, Shuxin Tian, Xin Jiang, Suya Pang, Huiying Shi, Mengke Fan, Zeyu Wang, Weiwei Jiang, Weiqian Hu, Xueyan Xiao, Rong Lin. Molecular Imaging of Ulex Europaeus Agglutinin in Colorectal Cancer Using Confocal Laser Endomicroscopy (With Video)Frontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.792420
52
Yecheskel Schneider, Anna M. Buchner. Computer-aided confocal laser endomicroscopy in inflammatory bowel disease: probing deeper into what it meansGastrointestinal Endoscopy 2019; 89(3): 637 doi: 10.1016/j.gie.2018.11.005
53
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
54
Tou Pin Chang, Guang-Zhong Yang. Cancer Theranostics2014; : 213 doi: 10.1016/B978-0-12-407722-5.00013-X
55
Debora Gil, Oriol Ramos-Terrades, Elisa Minchole, Carles Sanchez, Noelia Cubero de Frutos, Marta Diez-Ferrer, Rosa Maria Ortiz, Antoni Rosell. Computer Assisted and Robotic Endoscopy and Clinical Image-Based ProceduresLecture Notes in Computer Science 2017; 10550: 151 doi: 10.1007/978-3-319-67543-5_15
56
Yubo Tang, Alexandros D. Polydorides, Sharmila Anandasabapathy, Rebecca R. Richards-Kortum. Quantitative analysis of in vivo high-resolution microendoscopic images for the detection of neoplastic colorectal polypsJournal of Biomedical Optics 2018; 23(11): 1 doi: 10.1117/1.JBO.23.11.116003
57
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
58
Hangbin Zhang, Xinyu Yang, Ye Tao, Xinyi Zhang, Xuan Huang, Chih-Wei Tseng. Diagnostic accuracy of endocytoscopy via artificial intelligence in colorectal lesions: A systematic review and meta‑analysisPLOS ONE 2023; 18(12): e0294930 doi: 10.1371/journal.pone.0294930
59
Hyun Jae Kim, Nasim Parsa, Michael F. Byrne. The role of artificial intelligence in colonoscopySeminars in Colon and Rectal Surgery 2024; 35(1): 101007 doi: 10.1016/j.scrs.2024.101007
60
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
61
Arian Mansur, Zain Saleem, Tarig Elhakim, Dania Daye. Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directionsFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1065402
62
Sreekar Vennelaganti, Prashanth Vennalaganti, Sharad Mathur, Satish Singh, Mazen Jamal, Vijay Kanakadandi, Tarun Rai, Matthew Hall, Neil Gupta, Venkat Nutalapati, Benjamin Alsop, Benjamin Hornung, Prateek Sharma. Validation of Probe-based Confocal Laser Endomicroscopy (pCLE) Criteria for Diagnosing Colon Polyp HistologyJournal of Clinical Gastroenterology 2018; 52(9): 812 doi: 10.1097/MCG.0000000000000927
63
Barham K. Abu Dayyeh, Nirav Thosani, Vani Konda, Michael B. Wallace, Douglas K. Rex, Shailendra S. Chauhan, Joo Ha Hwang, Sri Komanduri, Michael Manfredi, John T. Maple, Faris M. Murad, Uzma D. Siddiqui, Subhas Banerjee. ASGE Technology Committee systematic review and meta-analysis assessing the ASGE PIVI thresholds for adopting real-time endoscopic assessment of the histology of diminutive colorectal polypsGastrointestinal Endoscopy 2015; 81(3): 502.e1 doi: 10.1016/j.gie.2014.12.022
64
Alessandro Fugazza, Federica Gaiani, Maria Clotilde Carra, Francesco Brunetti, Michaël Lévy, Iradj Sobhani, Daniel Azoulay, Fausto Catena, Gian Luigi de’Angelis, Nicola de’Angelis. Confocal Laser Endomicroscopy in Gastrointestinal and Pancreatobiliary Diseases: A Systematic Review and Meta-AnalysisBioMed Research International 2016; 2016: 1 doi: 10.1155/2016/4638683