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Cited by in CrossRef
For: Attardo S, Chandrasekar VT, Spadaccini M, Maselli R, Patel HK, Desai M, Capogreco A, Badalamenti M, Galtieri PA, Pellegatta G, Fugazza A, Carrara S, Anderloni A, Occhipinti P, Hassan C, Sharma P, Repici A. Artificial intelligence technologies for the detection of colorectal lesions: The future is now. World J Gastroenterol 2020; 26(37): 5606-5616 [PMID: 33088155 DOI: 10.3748/wjg.v26.i37.5606]
URL: https://www.wjgnet.com/1007-9327/full/v26/i37/5606.htm
Number Citing Articles
1
Ji Hyun Kim, Seung-Joo Nam, Sung Chul Park. Usefulness of artificial intelligence in gastric neoplasmsWorld Journal of Gastroenterology 2021; 27(24): 3543-3555 doi: 10.3748/wjg.v27.i24.3543
2
Yuan-Yen Chang, Pai-Chi Li, Ruey-Feng Chang, Chih-Da Yao, Yang-Yuan Chen, Wen-Yen Chang, Hsu-Heng Yen. Deep learning-based endoscopic anatomy classification: an accelerated approach for data preparation and model validationSurgical Endoscopy 2022; 36(6): 3811 doi: 10.1007/s00464-021-08698-2
3
Mihaela Luca, Adrian Ciobanu, Valentina Emilia Balas. Polyp detection in video colonoscopy using deep learningJournal of Intelligent & Fuzzy Systems 2022; 43(2): 1751 doi: 10.3233/JIFS-219276
4
Fahed Jubair, Omar Al‐karadsheh, Dimitrios Malamos, Samara Al Mahdi, Yusser Saad, Yazan Hassona. A novel lightweight deep convolutional neural network for early detection of oral cancerOral Diseases 2022; 28(4): 1123 doi: 10.1111/odi.13825
5
Marco Spadaccini, Alessandro De Marco, Gianluca Franchellucci, Prateek Sharma, Cesare Hassan, Alessandro Repici. Discovering the first US FDA-approved computer-aided polyp detection systemFuture Oncology 2022; 18(11): 1405 doi: 10.2217/fon-2021-1135
6
Marco Spadaccini, Edoardo Vespa, Viveksandeep Thoguluva Chandrasekar, Madhav Desai, Harsh K Patel, Roberta Maselli, Alessandro Fugazza, Silvia Carrara, Andrea Anderloni, Gianluca Franchellucci, Alessandro De Marco, Cesare Hassan, Pradeep Bhandari, Prateek Sharma, Alessandro Repici. Advanced imaging and artificial intelligence for Barrett's esophagus: What we should and soon will do World Journal of Gastroenterology 2022; 28(11): 1113-1122 doi: 10.3748/wjg.v28.i11.1113
7
Yuan-Yen Chang, Pai-Chi Li, Ruey-Feng Chang, Yu-Yao Chang, Siou-Ping Huang, Yang-Yuan Chen, Wen-Yen Chang, Hsu-Heng Yen. Development and validation of a deep learning-based algorithm for colonoscopy quality assessmentSurgical Endoscopy 2022; 36(9): 6446 doi: 10.1007/s00464-021-08993-y
8
Harshavardhan Rao B, Judy A Trieu, Priya Nair, Gilad Gressel, Mukund Venu, Rama P Venu. Artificial intelligence in endoscopy: More than what meets the eye in screening colonoscopy and endosonographic evaluation of pancreatic lesionsArtificial Intelligence in Gastrointestinal Endoscopy 2022; 3(3): 16-30 doi: 10.37126/aige.v3.i3.16
9
Hsu-Heng Yen, Ping-Yu Wu, Pei-Yuan Su, Chia-Wei Yang, Yang-Yuan Chen, Mei-Fen Chen, Wen-Chen Lin, Cheng-Lun Tsai, Kang-Ping Lin. Performance Comparison of the Deep Learning and the Human Endoscopist for Bleeding Peptic Ulcer DiseaseJournal of Medical and Biological Engineering 2021; 41(4): 504 doi: 10.1007/s40846-021-00608-0
10
Marco Spadaccini, Cesare Hassan, Ludovico Alfarone, Leonardo Da Rio, Roberta Maselli, Silvia Carrara, Piera Alessia Galtieri, Gaia Pellegatta, Alessandro Fugazza, Glenn Koleth, James Emmanuel, Andrea Anderloni, Yuichi Mori, Michael B. Wallace, Prateek Sharma, Alessandro Repici. Comparing the number and relevance of false activations between 2 artificial intelligence computer-aided detection systems: the NOISE studyGastrointestinal Endoscopy 2022; 95(5): 975 doi: 10.1016/j.gie.2021.12.031
11
Cowan Ho, Zitong Zhao, Xiu Fen Chen, Jan Sauer, Sahil Ajit Saraf, Rajasa Jialdasani, Kaveh Taghipour, Aneesh Sathe, Li-Yan Khor, Kiat-Hon Lim, Wei-Qiang Leow. A promising deep learning-assistive algorithm for histopathological screening of colorectal cancerScientific Reports 2022; 12(1) doi: 10.1038/s41598-022-06264-x