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For: Charisis VS, Hadjileontiadis LJ. Potential of hybrid adaptive filtering in inflammatory lesion detection from capsule endoscopy images. World J Gastroenterol 2016; 22(39): 8641-8657 [PMID: 27818583 DOI: 10.3748/wjg.v22.i39.8641]
URL: https://www.wjgnet.com/1007-9327/full/v22/i39/8641.htm
Number Citing Articles
1
Partha Pal, Rupa Banerjee, Rajesh Gupta, Palle Manohar Reddy, D Nageshwar Reddy, Manu Tandan. Capsule Endoscopy in Inflammatory Bowel Disease: A Systematic ReviewJournal of Digestive Endoscopy 2023; 14(03): 149 doi: 10.1055/s-0043-1766122
2
Lei Chen, De-Chun Li. Artificial intelligence and inflammatory bowel diseaseWorld Chinese Journal of Digestology 2021; 29(13): 684 doi: 10.11569/wcjd.v29.i13.684
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3
Pieter Sinonquel, Tom Eelbode, Peter Bossuyt, Frederik Maes, Raf Bisschops. Artificial intelligence and its impact on quality improvement in upper and lower gastrointestinal endoscopyDigestive Endoscopy 2021; 33(2): 242 doi: 10.1111/den.13888
4
Ming-Chang Tsai, Hsu-Heng Yen, Hui-Yu Tsai, Yu-Kai Huang, Yu-Sin Luo, Edy Kornelius, Wen-Wei Sung, Chun-Che Lin, Ming-Hseng Tseng, Chi-Chih Wang. Artificial intelligence system for the detection of Barrett’s esophagusWorld Journal of Gastroenterology 2023; 29(48): 6198-6207 doi: 10.3748/wjg.v29.i48.6198
5
Philippe Pinton. Impact of artificial intelligence on prognosis, shared decision-making, and precision medicine for patients with inflammatory bowel disease: a perspective and expert opinionAnnals of Medicine 2023; 55(2) doi: 10.1080/07853890.2023.2300670
6
Subhashree Mohapatra, Tripti Swarnkar, Manohar Mishra, David Al-Dabass, Raffaele Mascella. Handbook of Computational Intelligence in Biomedical Engineering and Healthcare2021; : 121 doi: 10.1016/B978-0-12-822260-7.00001-7
7
John Gubatan, Steven Levitte, Akshar Patel, Tatiana Balabanis, Mike T Wei, Sidhartha R Sinha. Artificial intelligence applications in inflammatory bowel disease: Emerging technologies and future directionsWorld Journal of Gastroenterology 2021; 27(17): 1920-1935 doi: 10.3748/wjg.v27.i17.1920
8
Rajnish Kumar, Farhat Ullah Khan, Anju Sharma, Izzatdin B.A. Aziz, Nitesh Kumar Poddar. Recent Applications of Artificial Intelligence in the Detection of Gastrointestinal, Hepatic and Pancreatic DiseasesCurrent Medicinal Chemistry 2022; 29(1): 66 doi: 10.2174/0929867328666210405114938
9
Akihiko Oka, Norihisa Ishimura, Shunji Ishihara. A New Dawn for the Use of Artificial Intelligence in Gastroenterology, Hepatology and PancreatologyDiagnostics 2021; 11(9): 1719 doi: 10.3390/diagnostics11091719
10
Ji Li, Jia-Ming Qian. Artificial intelligence in inflammatory bowel disease: current status and opportunitiesChinese Medical Journal 2020; 133(7): 757 doi: 10.1097/CM9.0000000000000714
11
Ashwin A. George, Jin Lin Tan, Joshua G. Kovoor, Alvin Lee, Brandon Stretton, Aashray K. Gupta, Stephen Bacchi, Biju George, Rajvinder Singh. Artificial intelligence in capsule endoscopy: development status and future expectationsMini-invasive Surgery 2024;  doi: 10.20517/2574-1225.2023.102
12
Paul T Kröner, Megan ML Engels, Benjamin S Glicksberg, Kipp W Johnson, Obaie Mzaik, Jeanin E van Hooft, Michael B Wallace, Hashem B El-Serag, Chayakrit Krittanawong. Artificial intelligence in gastroenterology: A state-of-the-art reviewWorld Journal of Gastroenterology 2021; 27(40): 6794-6824 doi: 10.3748/wjg.v27.i40.6794
13
Nasim Sadat Seyed Tabib, Matthew Madgwick, Padhmanand Sudhakar, Bram Verstockt, Tamas Korcsmaros, Séverine Vermeire. Big data in IBD: big progress for clinical practiceGut 2020; 69(8): 1520 doi: 10.1136/gutjnl-2019-320065
14
Szilvia Nagy, Brigita Sziová, János Pipek. On Structural Entropy and Spatial Filling Factor Analysis of Colonoscopy PicturesEntropy 2019; 21(3): 256 doi: 10.3390/e21030256
15
Dinesh Meher, Mrinal Gogoi, Pankaj Bharali, Prajna Anirvan, Shivaram Prasad Singh. Artificial Intelligence in Small Bowel Endoscopy: Current Perspectives and Future DirectionsJournal of Digestive Endoscopy 2020; 11(04): 245 doi: 10.1055/s-0040-1717824
16
P. Sinonquel, R. Bisschops. Striving for quality improvement: can artificial intelligence help?Best Practice & Research Clinical Gastroenterology 2021; : 101722 doi: 10.1016/j.bpg.2020.101722
17
Om Parkash, Asra Tus Saleha Siddiqui, Uswa Jiwani, Fahad Rind, Zahra Ali Padhani, Arjumand Rizvi, Zahra Hoodbhoy, Jai K. Das. Diagnostic accuracy of artificial intelligence for detecting gastrointestinal luminal pathologies: A systematic review and meta-analysisFrontiers in Medicine 2022; 9 doi: 10.3389/fmed.2022.1018937
18
Matheus G. Ribeiro, Leandro A. Neves, Guilherme F. Roberto, Thaina A. A. Tosta, Alessandro S. Martins, Marcelo Z. do Nascimento. Analysis of the Influence of Color Normalization in the Classification of Non-Hodgkin Lymphoma Images2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) 2018; : 369 doi: 10.1109/SIBGRAPI.2018.00054
19
Catherine Le Berre, William J. Sandborn, Sabeur Aridhi, Marie-Dominique Devignes, Laure Fournier, Malika Smaïl-Tabbone, Silvio Danese, Laurent Peyrin-Biroulet. Application of Artificial Intelligence to Gastroenterology and HepatologyGastroenterology 2020; 158(1): 76 doi: 10.1053/j.gastro.2019.08.058
20
Gian Eugenio Tontini, Alessandro Rimondi, Marta Vernero, Helmut Neumann, Maurizio Vecchi, Cristina Bezzio, Flaminia Cavallaro. Artificial intelligence in gastrointestinal endoscopy for inflammatory bowel disease: a systematic review and new horizonsTherapeutic Advances in Gastroenterology 2021; 14: 175628482110177 doi: 10.1177/17562848211017730
21
Samrat Pundalik Khadilkar. Colon Cancer Detection Using Hybrid Features and Genetically Optimized Neural Network ClassifierInternational Journal of Image and Graphics 2022; 22(02) doi: 10.1142/S0219467822500243
22
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
23
Spyretta Golemati, Amalia Yanni, Nikolaos N. Tsiaparas, Symeon Lechareas, Ioannis S. Vlachos, Demosthenes D. Cokkinos, Miltiadis Krokidis, Konstantina S. Nikita, Despina Perrea, Achilles Chatziioannou. CurveletTransform–Based Texture Analysis of Carotid B-mode Ultrasound Images in Asymptomatic Men With Moderate and Severe Stenoses: A Preliminary Clinical StudyUltrasound in Medicine & Biology 2022; 48(1): 78 doi: 10.1016/j.ultrasmedbio.2021.09.005
24
Partha Pal, Kanapuram Pooja, Zaheer Nabi, Rajesh Gupta, Manu Tandan, Guduru Venkat Rao, Nageshwar Reddy. Artificial intelligence in endoscopy related to inflammatory bowel disease: A systematic reviewIndian Journal of Gastroenterology 2024; 43(1): 172 doi: 10.1007/s12664-024-01531-3
25
Virginia Solitano, Alessandra Zilli, Gianluca Franchellucci, Mariangela Allocca, Gionata Fiorino, Federica Furfaro, Ferdinando D’Amico, Silvio Danese, Sameer Al Awadhi. Artificial Endoscopy and Inflammatory Bowel Disease: Welcome to the FutureJournal of Clinical Medicine 2022; 11(3): 569 doi: 10.3390/jcm11030569
26
Chrysanthos D Christou, Georgios Tsoulfas. Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatologyWorld Journal of Gastroenterology 2021; 27(37): 6191-6223 doi: 10.3748/wjg.v27.i37.6191
27
Xixi He, Huajun Ye, Rui Zhao, Mengmeng Lu, Qiwen Chen, Lishimeng Bao, Tianmin Lv, Qiang Li, Fang Wu. Advanced machine learning model for predicting Crohn's disease with enhanced ant colony optimizationComputers in Biology and Medicine 2023; 163: 107216 doi: 10.1016/j.compbiomed.2023.107216
28
Ioannis Tziortziotis, Faidon-Marios Laskaratos, Sergio Coda. Role of Artificial Intelligence in Video Capsule EndoscopyDiagnostics 2021; 11(7): 1192 doi: 10.3390/diagnostics11071192
29
Matheus Gonçalves Ribeiro, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, Guilherme Freire Roberto, Alessandro Santana Martins, Thaína Aparecida Azevedo Tosta. Classification of colorectal cancer based on the association of multidimensional and multiresolution featuresExpert Systems with Applications 2019; 120: 262 doi: 10.1016/j.eswa.2018.11.034
30
Om Parkash, Asra Tus Saleha Siddiqui, Uswa Jiwani, Fahad Rind, Zahra Ali Padhani, Arjumand Rizvi, Zahra Hoodbhoy, Jai Das. Diagnostic Accuracy of Artificial Intelligence for Detecting Gastroenterological Pathologies: A Systematic Review and Meta-AnalysisSSRN Electronic Journal 2022;  doi: 10.2139/ssrn.4180735
31
Jonathan S Galati, Robert J Duve, Matthew O'Mara, Seth A Gross. Artificial intelligence in gastroenterology: A narrative reviewArtificial Intelligence in Gastroenterology 2022; 3(5): 117-141 doi: 10.35712/aig.v3.i5.117