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Cited by in CrossRef
For: Filip D, Gao X, Angulo-Rodríguez L, Mintchev MP, Devlin SM, Rostom A, Rosen W, Andrews CN. Colometer: A real-time quality feedback system for screening colonoscopy. World J Gastroenterol 2012; 18(32): 4270-4277 [PMID: 22969189 DOI: 10.3748/wjg.v18.i32.4270]
URL: https://www.wjgnet.com/1007-9327/full/v18/i32/4270.htm
Number Citing Articles
1
Louise Preisler, Morten Bo Søndergaard Svendsen, Nikolaj Nerup, Lars Bo Svendsen, Lars Konge. Simulation-Based Training for ColonoscopyMedicine 2015; 94(4): e440 doi: 10.1097/MD.0000000000000440
2
Y. Wu, J. C. Denny, S. T. Rosenbloom, R. A. Miller, D. A. Giuse, M. Song, H. Xu. A Preliminary Study of Clinical Abbreviation Disambiguation in Real TimeApplied Clinical Informatics 2015; 6(02): 364 doi: 10.4338/ACI-2014-10-RA-0088
3
Gholamreza Rezamand, Farahnaz Joukar, Ehsan Amini-Salehi, Hamed Delam, Reza Zare, Alireza Samadi, Sara Mavadati, Soheil Hassanipour, Fariborz Mansour-Ghanaei. The effectiveness of walking exercise on the bowel preparation before colonoscopy: a single blind randomized clinical trial studyBMC Gastroenterology 2023; 23(1) doi: 10.1186/s12876-023-02987-x
4
Mahsa Taghiakbari, Yuichi Mori, Daniel von Renteln. Artificial intelligence-assisted colonoscopy: A review of current state of practice and researchWorld Journal of Gastroenterology 2021; 27(47): 8103-8122 doi: 10.3748/wjg.v27.i47.8103
5
A. B. M. Rezbaul Islam, Ali Alammari, JungHwan Oh, Wallapak Tavanapong, Johnny Wong, Piet C. de Groen. Non-Informative Frame Classification in Colonoscopy Videos Using CNNsProceedings of the 2018 3rd International Conference on Biomedical Imaging, Signal Processing 2018; : 53 doi: 10.1145/3288200.3288207
6
Ya-qi Song, Xin-li Mao, Xian-bin Zhou, Sai-qin He, Ya-hong Chen, Li-hui Zhang, Shi-wen Xu, Ling-ling Yan, Shen-ping Tang, Li-ping Ye, Shao-wei Li. Use of Artificial Intelligence to Improve the Quality Control of Gastrointestinal EndoscopyFrontiers in Medicine 2021; 8 doi: 10.3389/fmed.2021.709347
7
Klaus Gottlieb, J. Rick Turner, Barbara S. Gillespie, Fez Hussain. Bowel Preparations for Colonoscopy: A Regulatory PerspectiveTherapeutic Innovation & Regulatory Science 2015; 49(5): 739 doi: 10.1177/2168479015577868
8
Kristoffer Mazanti Cold, Anishan Vamadevan, Andreas Slot Vilmann, Morten Bo Søndergaard Svendsen, Lars Konge, Flemming Bjerrum. Computer-aided quality assessment of endoscopist competence during colonoscopy: a systematic reviewGastrointestinal Endoscopy 2024; 100(2): 167 doi: 10.1016/j.gie.2024.04.004
9
Mohammad Ali Armin, Girija Chetty, Hans De Visser, Cedric Dumas, Florian Grimpen, Olivier Salvado. Automated visibility map of the internal colon surface from colonoscopy videoInternational Journal of Computer Assisted Radiology and Surgery 2016; 11(9): 1599 doi: 10.1007/s11548-016-1462-8
10
Nima Tajbakhsh, Changching Chi, Haripriya Sharma, Qing Wu, Suryakanth R. Gurudu, Jianming Liang. Abdominal Imaging. Computational and Clinical ApplicationsLecture Notes in Computer Science 2014; 8676: 151 doi: 10.1007/978-3-319-13692-9_14
11
Piet C. de Groen. Using artificial intelligence to improve adequacy of inspection in gastrointestinal endoscopyTechniques and Innovations in Gastrointestinal Endoscopy 2020; 22(2): 71 doi: 10.1016/j.tgie.2019.150640
12
Jeffrey Adler, Douglas J Robertson. Interval Colorectal Cancer After Colonoscopy: Exploring Explanations and SolutionsAmerican Journal of Gastroenterology 2015; 110(12): 1657 doi: 10.1038/ajg.2015.365
13
Omer F Ahmad, Antonio S Soares, Evangelos Mazomenos, Patrick Brandao, Roser Vega, Edward Seward, Danail Stoyanov, Manish Chand, Laurence B Lovat. Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directionsThe Lancet Gastroenterology & Hepatology 2019; 4(1): 71 doi: 10.1016/S2468-1253(18)30282-6
14
Yu-Hsi Hsieh, Felix W. Leung. An overview of deep learning algorithms and water exchange in colonoscopy in improving adenoma detectionExpert Review of Gastroenterology & Hepatology 2019; 13(12): 1153 doi: 10.1080/17474124.2019.1694903