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] |
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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 Review. Journal of Digestive Endoscopy 2023; 14(03): 149 doi: 10.1055/s-0043-1766122
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2 |
Lei Chen, De-Chun Li. Artificial intelligence and inflammatory bowel disease. World 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 endoscopy. Digestive Endoscopy 2021; 33(2): 242 doi: 10.1111/den.13888
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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 esophagus. World Journal of Gastroenterology 2023; 29(48): 6198-6207 doi: 10.3748/wjg.v29.i48.6198
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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 opinion. Annals of Medicine 2023; 55(2) doi: 10.1080/07853890.2023.2300670
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Subhashree Mohapatra, Tripti Swarnkar, Manohar Mishra, David Al-Dabass, Raffaele Mascella. Handbook of Computational Intelligence in Biomedical Engineering and Healthcare. 2021; : 121 doi: 10.1016/B978-0-12-822260-7.00001-7
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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 directions. World Journal of Gastroenterology 2021; 27(17): 1920-1935 doi: 10.3748/wjg.v27.i17.1920
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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 Diseases. Current Medicinal Chemistry 2022; 29(1): 66 doi: 10.2174/0929867328666210405114938
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Akihiko Oka, Norihisa Ishimura, Shunji Ishihara. A New Dawn for the Use of Artificial Intelligence in Gastroenterology, Hepatology and Pancreatology. Diagnostics 2021; 11(9): 1719 doi: 10.3390/diagnostics11091719
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10 |
Ji Li, Jia-Ming Qian. Artificial intelligence in inflammatory bowel disease: current status and opportunities. Chinese Medical Journal 2020; 133(7): 757 doi: 10.1097/CM9.0000000000000714
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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 expectations. Mini-invasive Surgery 2024; doi: 10.20517/2574-1225.2023.102
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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 review. World Journal of Gastroenterology 2021; 27(40): 6794-6824 doi: 10.3748/wjg.v27.i40.6794
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13 |
Nasim Sadat Seyed Tabib, Matthew Madgwick, Padhmanand Sudhakar, Bram Verstockt, Tamas Korcsmaros, Séverine Vermeire. Big data in IBD: big progress for clinical practice. Gut 2020; 69(8): 1520 doi: 10.1136/gutjnl-2019-320065
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14 |
Szilvia Nagy, Brigita Sziová, János Pipek. On Structural Entropy and Spatial Filling Factor Analysis of Colonoscopy Pictures. Entropy 2019; 21(3): 256 doi: 10.3390/e21030256
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15 |
Dinesh Meher, Mrinal Gogoi, Pankaj Bharali, Prajna Anirvan, Shivaram Prasad Singh. Artificial Intelligence in Small Bowel Endoscopy: Current Perspectives and Future Directions. Journal of Digestive Endoscopy 2020; 11(04): 245 doi: 10.1055/s-0040-1717824
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16 |
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 endoscopy. Informatics in Medicine Unlocked 2024; 51: 101600 doi: 10.1016/j.imu.2024.101600
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17 |
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
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18 |
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-analysis. Frontiers in Medicine 2022; 9 doi: 10.3389/fmed.2022.1018937
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19 |
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 Images. 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) 2018; : 369 doi: 10.1109/SIBGRAPI.2018.00054
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20 |
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 Hepatology. Gastroenterology 2020; 158(1): 76 doi: 10.1053/j.gastro.2019.08.058
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21 |
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 horizons. Therapeutic Advances in Gastroenterology 2021; 14 doi: 10.1177/17562848211017730
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22 |
Samrat Pundalik Khadilkar. Colon Cancer Detection Using Hybrid Features and Genetically Optimized Neural Network Classifier. International Journal of Image and Graphics 2022; 22(02) doi: 10.1142/S0219467822500243
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23 |
Yutaka Okagawa, Seiichiro Abe, Masayoshi Yamada, Ichiro Oda, Yutaka Saito. Artificial Intelligence in Endoscopy. Digestive Diseases and Sciences 2022; 67(5): 1553 doi: 10.1007/s10620-021-07086-z
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24 |
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 Study. Ultrasound in Medicine & Biology 2022; 48(1): 78 doi: 10.1016/j.ultrasmedbio.2021.09.005
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25 |
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 review. Indian Journal of Gastroenterology 2024; 43(1): 172 doi: 10.1007/s12664-024-01531-3
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26 |
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 Future. Journal of Clinical Medicine 2022; 11(3): 569 doi: 10.3390/jcm11030569
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27 |
Chrysanthos D Christou, Georgios Tsoulfas. Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology. World Journal of Gastroenterology 2021; 27(37): 6191-6223 doi: 10.3748/wjg.v27.i37.6191
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28 |
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 optimization. Computers in Biology and Medicine 2023; 163: 107216 doi: 10.1016/j.compbiomed.2023.107216
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29 |
Ioannis Tziortziotis, Faidon-Marios Laskaratos, Sergio Coda. Role of Artificial Intelligence in Video Capsule Endoscopy. Diagnostics 2021; 11(7): 1192 doi: 10.3390/diagnostics11071192
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30 |
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 features. Expert Systems with Applications 2019; 120: 262 doi: 10.1016/j.eswa.2018.11.034
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31 |
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-Analysis. SSRN Electronic Journal 2022; doi: 10.2139/ssrn.4180735
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32 |
Jonathan S Galati, Robert J Duve, Matthew O'Mara, Seth A Gross. Artificial intelligence in gastroenterology: A narrative review. Artificial Intelligence in Gastroenterology 2022; 3(5): 117-141 doi: 10.35712/aig.v3.i5.117
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