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Cited by in CrossRef
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) 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) doi: 10.11569/wcjd.v29.i13.684
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) 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;  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
Jiaxuan Ran, Mingxia Zhou, Hongtao Wen. Artificial intelligence in inflammatory bowel diseaseSaudi Journal of Gastroenterology 2025; 31(4) doi: 10.4103/sjg.sjg_46_25
9
Abbas H Rupawala, Katherine M Cooper, Charanpreet K Sasan, Nicholas J Hebda, Jennifer A Trebilcock, Anthony J Bilotta. Artificial intelligence in the management of inflammatory bowel disease: What’s next?World Journal of Gastrointestinal Pharmacology and Therapeutics 2026; 17(1): 112640 doi: 10.4292/wjgpt.v17.i1.112640
10
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) doi: 10.2174/0929867328666210405114938
11
Akihiko Oka, Norihisa Ishimura, Shunji Ishihara. A New Dawn for the Use of Artificial Intelligence in Gastroenterology, Hepatology and PancreatologyDiagnostics 2021; 11(9) doi: 10.3390/diagnostics11091719
12
Sabrina Gloria Giulia Testoni, Guglielmo Albertini Petroni, Maria Laura Annunziata, Giuseppe Dell’Anna, Michele Puricelli, Claudia Delogu, Vito Annese. Artificial Intelligence in Inflammatory Bowel Disease EndoscopyDiagnostics 2025; 15(7) doi: 10.3390/diagnostics15070905
13
Ji Li, Jia-Ming Qian. Artificial intelligence in inflammatory bowel disease: current status and opportunitiesChinese Medical Journal 2020; 133(7) doi: 10.1097/CM9.0000000000000714
14
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
15
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
16
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) doi: 10.1136/gutjnl-2019-320065
17
Szilvia Nagy, Brigita Sziová, János Pipek. On Structural Entropy and Spatial Filling Factor Analysis of Colonoscopy PicturesEntropy 2019; 21(3) doi: 10.3390/e21030256
18
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) doi: 10.1055/s-0040-1717824
19
Ahmmad Musha, Rehnuma Hasnat, Abdullah Al Mamun, Md Sohag Hossain, Md Jakir Hossen, Tonmoy Ghosh. A systematic review of ulcer detection methods in wireless capsule endoscopyInformatics in Medicine Unlocked 2024; 51 doi: 10.1016/j.imu.2024.101600
20
P. Sinonquel, R. Bisschops. Striving for quality improvement: can artificial intelligence help?Best Practice & Research Clinical Gastroenterology 2021;  doi: 10.1016/j.bpg.2020.101722
21
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
22
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;  doi: 10.1109/SIBGRAPI.2018.00054
23
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) doi: 10.1053/j.gastro.2019.08.058
24
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 doi: 10.1177/17562848211017730
25
Nunzia Labarile, Alessandro Vitello, Emanuele Sinagra, Olga Maria Nardone, Giulio Calabrese, Federico Bonomo, Marcello Maida, Marietta Iacucci. Artificial Intelligence in Advancing Inflammatory Bowel Disease Management: Setting New StandardsCancers 2025; 17(14) doi: 10.3390/cancers17142337
26
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
27
Yutaka Okagawa, Seiichiro Abe, Masayoshi Yamada, Ichiro Oda, Yutaka Saito. Artificial Intelligence in EndoscopyDigestive Diseases and Sciences 2022; 67(5) doi: 10.1007/s10620-021-07086-z
28
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) doi: 10.1016/j.ultrasmedbio.2021.09.005
29
Diletta De Deo, Arianna Dal Buono, Roberto Gabbiadini, Olga Maria Nardone, Rocio Ferreiro-Iglesias, Giuseppe Privitera, Cristiana Bonifacio, Manuel Barreiro-de Acosta, Cristina Bezzio, Alessandro Armuzzi. Digital biomarkers and artificial intelligence: a new frontier in personalized management of inflammatory bowel diseaseFrontiers in Immunology 2025; 16 doi: 10.3389/fimmu.2025.1637159
30
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) doi: 10.1007/s12664-024-01531-3
31
Lucia C. Fry, Carolina Olano, Friedrich Hagenmüller, Jörg G. Albert, David E. Fleischer. Video Capsule Endoscopy2025;  doi: 10.1007/978-3-031-64719-2_46
32
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) doi: 10.3390/jcm11030569
33
Georgios Tsoulfas, Chrysanthos D Christou. 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
34
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 doi: 10.1016/j.compbiomed.2023.107216
35
Ioannis Tziortziotis, Faidon-Marios Laskaratos, Sergio Coda. Role of Artificial Intelligence in Video Capsule EndoscopyDiagnostics 2021; 11(7) doi: 10.3390/diagnostics11071192
36
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 doi: 10.1016/j.eswa.2018.11.034
37
Om Parkash, Asra Tus Saleha Siddiqui, Uswa Jiwani, Fahad Rind, Zahra Ali Padhani, Arjumand Rizvi, Zahra Hoodbhoy, Jai Das. 2022;  doi: 10.2139/ssrn.4180735
38
Seth A Gross, Matthew O'Mara, Robert J Duve, Jonathan S Galati. Artificial intelligence in gastroenterology: A narrative reviewArtificial Intelligence in Gastroenterology 2022; 3(5): 117-141 doi: 10.35712/aig.v3.i5.117