BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Iakovidis DK, Koulaouzidis A. Software for enhanced video capsule endoscopy: challenges for essential progress. Nat Rev Gastroenterol Hepatol. 2015;12:172-186. [PMID: 25688052 DOI: 10.1038/nrgastro.2015.13] [Cited by in Crossref: 138] [Cited by in F6Publishing: 80] [Article Influence: 19.7] [Reference Citation Analysis]
Number Citing Articles
1 Liu D, Jiang H, Rao N, Du W, Luo C, Li Z, Zhu L, Gan T. Depth Information-Based Automatic Annotation of Early Esophageal Cancers in Gastroscopic Images Using Deep Learning Techniques. IEEE Access 2020;8:97907-19. [DOI: 10.1109/access.2020.2996631] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
2 Cortegoso Valdivia P, Skonieczna-Żydecka K, Pennazio M, Rondonotti E, Marlicz W, Toth E, Koulaouzidis A. Capsule endoscopy transit-related indicators in choosing the insertion route for double-balloon enteroscopy: a systematic review. Endosc Int Open 2021;9:E163-70. [PMID: 33532554 DOI: 10.1055/a-1319-1452] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Hajabdollahi M, Esfandiarpoor R, Khadivi P, Soroushmehr S, Karimi N, Najarian K, Samavi S. Segmentation of bleeding regions in wireless capsule endoscopy for detection of informative frames. Biomedical Signal Processing and Control 2019;53:101565. [DOI: 10.1016/j.bspc.2019.101565] [Cited by in Crossref: 7] [Article Influence: 2.3] [Reference Citation Analysis]
4 Vasilakakis MD, Iakovidis DK, Spyrou E, Koulaouzidis A. DINOSARC: Color Features Based on Selective Aggregation of Chromatic Image Components for Wireless Capsule Endoscopy. Comput Math Methods Med 2018;2018:2026962. [PMID: 30250496 DOI: 10.1155/2018/2026962] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
5 Biniaz A, Zoroofi RA, Sohrabi MR. Automatic reduction of wireless capsule endoscopy reviewing time based on factorization analysis. Biomedical Signal Processing and Control 2020;59:101897. [DOI: 10.1016/j.bspc.2020.101897] [Cited by in Crossref: 7] [Article Influence: 3.5] [Reference Citation Analysis]
6 [DOI: 10.1109/bibe.2019.00100] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Diamantis DE, Iakovidis DK, Koulaouzidis A. Look-behind fully convolutional neural network for computer-aided endoscopy. Biomedical Signal Processing and Control 2019;49:192-201. [DOI: 10.1016/j.bspc.2018.12.005] [Cited by in Crossref: 21] [Cited by in F6Publishing: 6] [Article Influence: 7.0] [Reference Citation Analysis]
8 Sánchez FJ, Bernal J, Sánchez-montes C, de Miguel CR, Fernández-esparrach G. Bright spot regions segmentation and classification for specular highlights detection in colonoscopy videos. Machine Vision and Applications 2017;28:917-36. [DOI: 10.1007/s00138-017-0864-0] [Cited by in Crossref: 11] [Cited by in F6Publishing: 1] [Article Influence: 2.2] [Reference Citation Analysis]
9 Häfner M, Tamaki T, Tanaka S, Uhl A, Wimmer G, Yoshida S. Local fractal dimension based approaches for colonic polyp classification. Med Image Anal. 2015;26:92-107. [PMID: 26385078 DOI: 10.1016/j.media.2015.08.007] [Cited by in Crossref: 33] [Cited by in F6Publishing: 19] [Article Influence: 4.7] [Reference Citation Analysis]
10 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] [Cited by in CrossRef: 22] [Cited by in F6Publishing: 17] [Article Influence: 3.7] [Reference Citation Analysis]
11 Al-Biltagi M, Saeed NK, Qaraghuli S. Gastrointestinal disorders in children with autism: Could artificial intelligence help? Artif Intell Gastroenterol 2022; 3(1): 1-12 [DOI: 10.35712/aig.v3.i1.1] [Reference Citation Analysis]
12 Leenhardt R, Vasseur P, Li C, Saurin JC, Rahmi G, Cholet F, Becq A, Marteau P, Histace A, Dray X, Sacher-huvelin S, Mesli F, Leandri C, Nion-larmurier I, Lecleire S, Gerard R, Duburque C, Vanbiervliet G, Amiot X, Philippe Le Mouel J, Delvaux M, Jacob P, Simon-shane C, Romain O. A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy. Gastrointestinal Endoscopy 2019;89:189-94. [DOI: 10.1016/j.gie.2018.06.036] [Cited by in Crossref: 89] [Cited by in F6Publishing: 83] [Article Influence: 29.7] [Reference Citation Analysis]
13 Rao Z, Xu T, Luo J, Guo J, Shi G, Wang H. Non-uniform illumination endoscopic imaging enhancement via anti-degraded model and L 1 L 2-based variational retinex. J Wireless Com Network 2017;2017. [DOI: 10.1186/s13638-017-0989-x] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.4] [Reference Citation Analysis]
14 Liu D, Rao N, Mei X, Jiang H, Li Q, Luo C, Li Q, Zeng C, Zeng B, Gan T. Annotating Early Esophageal Cancers Based on Two Saliency Levels of Gastroscopic Images. J Med Syst 2018;42:237. [PMID: 30327890 DOI: 10.1007/s10916-018-1063-x] [Cited by in Crossref: 3] [Article Influence: 0.8] [Reference Citation Analysis]
15 Dimas G, Iakovidis DK, Karargyris A, Ciuti G, Koulaouzidis A. An artificial neural network architecture for non-parametric visual odometry in wireless capsule endoscopy. Meas Sci Technol 2017;28:094005. [DOI: 10.1088/1361-6501/aa7ebf] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 1.4] [Reference Citation Analysis]
16 [DOI: 10.1109/cbms.2017.67] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 1.2] [Reference Citation Analysis]
17 van der Sommen F, Curvers WL, Nagengast WB. Novel Developments in Endoscopic Mucosal Imaging. Gastroenterology 2018;154:1876-86. [PMID: 29462601 DOI: 10.1053/j.gastro.2018.01.070] [Cited by in Crossref: 19] [Cited by in F6Publishing: 14] [Article Influence: 4.8] [Reference Citation Analysis]
18 Sullivan P, Gupta S, Powers PD, Marya NB. Artificial Intelligence Research and Development for Application in Video Capsule Endoscopy. Gastrointest Endosc Clin N Am 2021;31:387-97. [PMID: 33743933 DOI: 10.1016/j.giec.2020.12.009] [Reference Citation Analysis]
19 Loukas C, Varytimidis C, Rapantzikos K, Kanakis MA. Keyframe extraction from laparoscopic videos based on visual saliency detection. Computer Methods and Programs in Biomedicine 2018;165:13-23. [DOI: 10.1016/j.cmpb.2018.07.004] [Cited by in Crossref: 13] [Cited by in F6Publishing: 5] [Article Influence: 3.3] [Reference Citation Analysis]
20 Koulaouzidis A, Iakovidis DK, Yung DE, Mazomenos E, Bianchi F, Karagyris A, Dimas G, Stoyanov D, Thorlacius H, Toth E, Ciuti G. Novel experimental and software methods for image reconstruction and localization in capsule endoscopy. Endosc Int Open 2018;6:E205-10. [PMID: 29399619 DOI: 10.1055/s-0043-121882] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 2.5] [Reference Citation Analysis]
21 Keuchel M, Kurniawan N, Baltes P, Bandorski D, Koulaouzidis A. Quantitative measurements in capsule endoscopy. Comput Biol Med. 2015;65:333-347. [PMID: 26299419 DOI: 10.1016/j.compbiomed.2015.07.016] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 1.1] [Reference Citation Analysis]
22 Koulaouzidis A, Iakovidis DK. Robust capsule endoscopy lesion quantification and localization systems. Comput Biol Med 2015;65:267-8. [PMID: 25906948 DOI: 10.1016/j.compbiomed.2015.04.003] [Reference Citation Analysis]
23 Rukundo O, Pedersen M, Hovde Ø. Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy. Comput Math Methods Med 2017;2017:9813165. [PMID: 29225668 DOI: 10.1155/2017/9813165] [Cited by in Crossref: 6] [Cited by in F6Publishing: 1] [Article Influence: 1.2] [Reference Citation Analysis]
24 Kalantar-Zadeh K, Ha N, Ou JZ, Berean KJ. Ingestible Sensors. ACS Sens 2017;2:468-83. [PMID: 28723186 DOI: 10.1021/acssensors.7b00045] [Cited by in Crossref: 117] [Cited by in F6Publishing: 70] [Article Influence: 23.4] [Reference Citation Analysis]
25 Park J, Hwang Y, Yoon JH, Park MG, Kim J, Lim YJ, Chun HJ. Recent Development of Computer Vision Technology to Improve Capsule Endoscopy. Clin Endosc 2019;52:328-33. [PMID: 30786704 DOI: 10.5946/ce.2018.172] [Cited by in Crossref: 13] [Cited by in F6Publishing: 8] [Article Influence: 4.3] [Reference Citation Analysis]
26 Vasilakakis MD, Iakovidis DK, Spyrou E, Chatzis D, Koulaouzidis A. Beyond Lesion Detection: Towards Semantic Interpretation of Endoscopy Videos. In: Boracchi G, Iliadis L, Jayne C, Likas A, editors. Engineering Applications of Neural Networks. Cham: Springer International Publishing; 2017. pp. 379-90. [DOI: 10.1007/978-3-319-65172-9_32] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
27 Prasath V. Polyp Detection and Segmentation from Video Capsule Endoscopy: A Review. J Imaging 2017;3:1. [DOI: 10.3390/jimaging3010001] [Cited by in Crossref: 21] [Cited by in F6Publishing: 10] [Article Influence: 3.5] [Reference Citation Analysis]
28 Yung DE, Sykes C, Koulaouzidis A. The validity of suspected blood indicator software in capsule endoscopy: a systematic review and meta-analysis. Expert Review of Gastroenterology & Hepatology 2017;11:43-51. [DOI: 10.1080/17474124.2017.1257384] [Cited by in Crossref: 23] [Cited by in F6Publishing: 22] [Article Influence: 3.8] [Reference Citation Analysis]
29 Hajabdollahi M, Esfandiarpoor R, Sabeti E, Karimi N, Soroushmehr S, Samavi S. Multiple abnormality detection for automatic medical image diagnosis using bifurcated convolutional neural network. Biomedical Signal Processing and Control 2020;57:101792. [DOI: 10.1016/j.bspc.2019.101792] [Cited by in Crossref: 11] [Cited by in F6Publishing: 3] [Article Influence: 5.5] [Reference Citation Analysis]
30 [DOI: 10.1117/12.2281577] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
31 Vasilakakis M, Koulaouzidis A, Yung DE, Plevris JN, Toth E, Iakovidis DK. Follow-up on: optimizing lesion detection in small bowel capsule endoscopy and beyond: from present problems to future solutions. Expert Review of Gastroenterology & Hepatology 2018;13:129-41. [DOI: 10.1080/17474124.2019.1553616] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
32 [DOI: 10.1109/icip.2018.8451673] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
33 Beg S, Parra-Blanco A, Ragunath K. Optimising the performance and interpretation of small bowel capsule endoscopy. Frontline Gastroenterol 2018;9:300-8. [PMID: 30245793 DOI: 10.1136/flgastro-2017-100878] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.6] [Reference Citation Analysis]
34 Rathnamala S, Jenicka S. Automated bleeding detection in wireless capsule endoscopy images based on color feature extraction from Gaussian mixture model superpixels. Med Biol Eng Comput 2021;59:969-87. [PMID: 33837919 DOI: 10.1007/s11517-021-02352-8] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
35 Vasilakakis MD, Diamantis D, Spyrou E, Koulaouzidis A, Iakovidis DK. Weakly supervised multilabel classification for semantic interpretation of endoscopy video frames. Evolving Systems 2020;11:409-21. [DOI: 10.1007/s12530-018-9236-x] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
36 Min J, Yang Y, Wu Z, Gao W. Robotics in the Gut. Adv Therap 2020;3:1900125. [DOI: 10.1002/adtp.201900125] [Cited by in Crossref: 18] [Cited by in F6Publishing: 4] [Article Influence: 6.0] [Reference Citation Analysis]
37 Koulaouzidis A, Toth E. Image database, AI and capsule endoscopy; the bets are on. Endosc Int Open 2020;8:E421-2. [PMID: 32119001 DOI: 10.1055/a-1073-7726] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
38 Xie X, Xiao YF, Zhao XY, Li JJ, Yang QQ, Peng X, Nie XB, Zhou JY, Zhao YB, Yang H, Liu X, Liu E, Chen YY, Zhou YY, Fan CQ, Bai JY, Lin H, Koulaouzidis A, Yang SM. Development and Validation of an Artificial Intelligence Model for Small Bowel Capsule Endoscopy Video Review. JAMA Netw Open 2022;5:e2221992. [PMID: 35834249 DOI: 10.1001/jamanetworkopen.2022.21992] [Reference Citation Analysis]
39 Dimas G, Spyrou E, Iakovidis DK, Koulaouzidis A. Intelligent visual localization of wireless capsule endoscopes enhanced by color information. Computers in Biology and Medicine 2017;89:429-40. [DOI: 10.1016/j.compbiomed.2017.08.029] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
40 Yang J, Chang L, Li S, He X, Zhu T. WCE polyp detection based on novel feature descriptor with normalized variance locality-constrained linear coding. Int J Comput Assist Radiol Surg. 2020;15:1291-1302. [PMID: 32447521 DOI: 10.1007/s11548-020-02190-3] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
41 Smedsrud PH, Thambawita V, Hicks SA, Gjestang H, Nedrejord OO, Næss E, Borgli H, Jha D, Berstad TJD, Eskeland SL, Lux M, Espeland H, Petlund A, Nguyen DTD, Garcia-Ceja E, Johansen D, Schmidt PT, Toth E, Hammer HL, de Lange T, Riegler MA, Halvorsen P. Kvasir-Capsule, a video capsule endoscopy dataset. Sci Data 2021;8:142. [PMID: 34045470 DOI: 10.1038/s41597-021-00920-z] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
42 Liao M, Zhang J, Liu Y, Zhu D. Speed optimisation and reliability analysis of a self-propelled capsule robot moving in an uncertain frictional environment. International Journal of Mechanical Sciences 2022;221:107156. [DOI: 10.1016/j.ijmecsci.2022.107156] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
43 Suman S, Hussin F, Malik A, Ho S, Hilmi I, Leow A, Goh K. Feature Selection and Classification of Ulcerated Lesions Using Statistical Analysis for WCE Images. Applied Sciences 2017;7:1097. [DOI: 10.3390/app7101097] [Cited by in Crossref: 17] [Cited by in F6Publishing: 9] [Article Influence: 3.4] [Reference Citation Analysis]
44 Deeba F, Mohammed SK, Bui FM, Wahid KA. A Saliency-based Unsupervised Method for Angiectasia Detection in Endoscopic Video Frames. J Med Biol Eng 2018;38:325-35. [DOI: 10.1007/s40846-017-0299-0] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.4] [Reference Citation Analysis]
45 Gan T, Yang Y, Liu S, Zeng B, Yang J, Deng K, Wu J, Yang L. Automatic Detection of Small Intestinal Hookworms in Capsule Endoscopy Images Based on a Convolutional Neural Network. Gastroenterol Res Pract 2021;2021:5682288. [PMID: 34868306 DOI: 10.1155/2021/5682288] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
46 Pannala R, Krishnan K, Melson J, Parsi MA, Schulman AR, Sullivan S, Trikudanathan G, Trindade AJ, Watson RR, Maple JT, Lichtenstein DR. Artificial intelligence in gastrointestinal endoscopy. VideoGIE. 2020;5:598-613. [PMID: 33319126 DOI: 10.1016/j.vgie.2020.08.013] [Cited by in Crossref: 4] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
47 Trasolini R, Byrne MF. Artificial intelligence and deep learning for small bowel capsule endoscopy. Dig Endosc 2021;33:290-7. [PMID: 33211357 DOI: 10.1111/den.13896] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
48 Vasilakakis M, Iakovidis DK, Spyrou E, Koulaouzidis A. Weakly-Supervised Lesion Detection in Video Capsule Endoscopy Based on a Bag-of-Colour Features Model. In: Peters T, Yang G, Navab N, Mori K, Luo X, Reichl T, Mcleod J, editors. Computer-Assisted and Robotic Endoscopy. Cham: Springer International Publishing; 2017. pp. 96-103. [DOI: 10.1007/978-3-319-54057-3_9] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
49 Al-Rawhani MA, Beeley J, Cumming DR. Wireless fluorescence capsule for endoscopy using single photon-based detection. Sci Rep 2015;5:18591. [PMID: 26678456 DOI: 10.1038/srep18591] [Cited by in Crossref: 23] [Cited by in F6Publishing: 13] [Article Influence: 3.3] [Reference Citation Analysis]
50 Vieira PM, Silva CP, Costa D, Vaz IF, Rolanda C, Lima CS. Automatic Segmentation and Detection of Small Bowel Angioectasias in WCE Images. Ann Biomed Eng 2019;47:1446-62. [DOI: 10.1007/s10439-019-02248-7] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
51 Ghosh T, Chakareski J. Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging. J Digit Imaging 2021;34:404-17. [PMID: 33728563 DOI: 10.1007/s10278-021-00428-3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
52 Liu DY, Gan T, Rao NN, Xing YW, Zheng J, Li S, Luo CS, Zhou ZJ, Wan YL. Identification of lesion images from gastrointestinal endoscope based on feature extraction of combinational methods with and without learning process. Med Image Anal. 2016;32:281-294. [PMID: 27236223 DOI: 10.1016/j.media.2016.04.007] [Cited by in Crossref: 51] [Cited by in F6Publishing: 35] [Article Influence: 8.5] [Reference Citation Analysis]
53 Tziortziotis I, Laskaratos FM, Coda S. Role of Artificial Intelligence in Video Capsule Endoscopy. Diagnostics (Basel) 2021;11:1192. [PMID: 34209029 DOI: 10.3390/diagnostics11071192] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
54 Khan H, Alijani A, Mowat C, Cuschieri A. Soft hybrid intrinsically motile robot for wireless small bowel enteroscopy. Surg Endosc. [DOI: 10.1007/s00464-021-09007-7] [Reference Citation Analysis]
55 Stewart FR, Qiu Y, Lay HS, Newton IP, Cox BF, Al-Rawhani MA, Beeley J, Liu Y, Huang Z, Cumming DRS, Näthke I, Cochran S. Acoustic Sensing and Ultrasonic Drug Delivery in Multimodal Theranostic Capsule Endoscopy. Sensors (Basel) 2017;17:E1553. [PMID: 28671642 DOI: 10.3390/s17071553] [Cited by in Crossref: 11] [Cited by in F6Publishing: 5] [Article Influence: 2.2] [Reference Citation Analysis]
56 Wimmer G, Tamaki T, Tischendorf JJ, Häfner M, Yoshida S, Tanaka S, Uhl A. Directional wavelet based features for colonic polyp classification. Med Image Anal 2016;31:16-36. [PMID: 26948110 DOI: 10.1016/j.media.2016.02.001] [Cited by in Crossref: 40] [Cited by in F6Publishing: 20] [Article Influence: 6.7] [Reference Citation Analysis]
57 Hwang Y, Park J, Lim YJ, Chun HJ. Application of Artificial Intelligence in Capsule Endoscopy: Where Are We Now? Clin Endosc 2018;51:547-51. [PMID: 30508880 DOI: 10.5946/ce.2018.173] [Cited by in Crossref: 17] [Cited by in F6Publishing: 13] [Article Influence: 4.3] [Reference Citation Analysis]
58 Deeba F, Islam M, Bui FM, Wahid KA. Performance assessment of a bleeding detection algorithm for endoscopic video based on classifier fusion method and exhaustive feature selection. Biomedical Signal Processing and Control 2018;40:415-24. [DOI: 10.1016/j.bspc.2017.10.011] [Cited by in Crossref: 12] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
59 Koulaouzidis A, Toth E. Optimizing the interpretation of capsule endoscopic images: shortsighted or taking the long view? Dig Dis Sci 2015;60:1519-21. [PMID: 25724167 DOI: 10.1007/s10620-015-3601-4] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
60 Mascarenhas Saraiva MJ, Afonso J, Ribeiro T, Ferreira J, Cardoso H, Andrade AP, Parente M, Natal R, Mascarenhas Saraiva M, Macedo G. Deep learning and capsule endoscopy: automatic identification and differentiation of small bowel lesions with distinct haemorrhagic potential using a convolutional neural network. BMJ Open Gastroenterol 2021;8:e000753. [PMID: 34580155 DOI: 10.1136/bmjgast-2021-000753] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
61 [DOI: 10.1145/3135954.3135967] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.4] [Reference Citation Analysis]
62 Seguí S, Drozdzal M, Pascual G, Radeva P, Malagelada C, Azpiroz F, Vitrià J. Generic feature learning for wireless capsule endoscopy analysis. Computers in Biology and Medicine 2016;79:163-72. [DOI: 10.1016/j.compbiomed.2016.10.011] [Cited by in Crossref: 47] [Cited by in F6Publishing: 36] [Article Influence: 7.8] [Reference Citation Analysis]
63 Mascarenhas Saraiva M, Ferreira JPS, Cardoso H, Afonso J, Ribeiro T, Andrade P, Parente MPL, Jorge RN, Macedo G. Artificial intelligence and colon capsule endoscopy: automatic detection of blood in colon capsule endoscopy using a convolutional neural network. Endosc Int Open 2021;9:E1264-8. [PMID: 34447874 DOI: 10.1055/a-1490-8960] [Reference Citation Analysis]
64 Gomes S, Valério MT, Salgado M, Oliveira HP, Cunha A. Unsupervised Neural Network for Homography Estimation in Capsule Endoscopy Frames. Procedia Computer Science 2019;164:602-9. [DOI: 10.1016/j.procs.2019.12.226] [Cited by in Crossref: 8] [Cited by in F6Publishing: 4] [Article Influence: 2.7] [Reference Citation Analysis]
65 Dimas G, Bianchi F, Iakovidis DK, Karargyris A, Ciuti G, Koulaouzidis A. Endoscopic single-image size measurements. Meas Sci Technol 2020;31:074010. [DOI: 10.1088/1361-6501/ab803c] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
66 Dray X, Iakovidis D, Houdeville C, Jover R, Diamantis D, Histace A, Koulaouzidis A. Artificial intelligence in small bowel capsule endoscopy ‐ current status, challenges and future promise. Journal of Gastroenterology and Hepatology 2021;36:12-9. [DOI: 10.1111/jgh.15341] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 8.0] [Reference Citation Analysis]
67 Kim SH, Lim YJ. Artificial Intelligence in Capsule Endoscopy: A Practical Guide to Its Past and Future Challenges. Diagnostics (Basel) 2021;11:1722. [PMID: 34574063 DOI: 10.3390/diagnostics11091722] [Reference Citation Analysis]
68 [DOI: 10.1109/icmla.2018.00098] [Cited by in Crossref: 25] [Cited by in F6Publishing: 4] [Article Influence: 6.3] [Reference Citation Analysis]
69 McAlindon ME, Ching HL, Yung D, Sidhu R, Koulaouzidis A. Capsule endoscopy of the small bowel. Ann Transl Med. 2016;4:369. [PMID: 27826572 DOI: 10.21037/atm.2016.09.18] [Cited by in Crossref: 22] [Cited by in F6Publishing: 21] [Article Influence: 3.7] [Reference Citation Analysis]
70 Li S, Si P, Zhang Z, Zhu J, He X, Zhang N. DFCA-Net: Dual Feature Context Aggregation Network for Bleeding Areas Segmentation in Wireless Capsule Endoscopy Images. J Med Biol Eng . [DOI: 10.1007/s40846-022-00689-5] [Reference Citation Analysis]
71 Costa D, Vieira P, Pinto C, Arroja B, Leal T, Mendes S, Gonçalves R, Lima C, Rolanda C. Clinical Performance of New Software to Automatically Detect Angioectasias in Small Bowel Capsule Endoscopy. GE Port J Gastroenterol 2021;28:87-96. [PMID: 33791395 DOI: 10.1159/000510024] [Reference Citation Analysis]
72 Phillips F, Beg S. Video capsule endoscopy: pushing the boundaries with software technology. Transl Gastroenterol Hepatol 2021;6:17. [PMID: 33409411 DOI: 10.21037/tgh.2020.02.01] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
73 Yung DE, Rondonotti E, Koulaouzidis A. Review: capsule colonoscopy-a concise clinical overview of current status. Ann Transl Med. 2016;4:398. [PMID: 27867950 DOI: 10.21037/atm.2016.10.71] [Cited by in Crossref: 7] [Cited by in F6Publishing: 3] [Article Influence: 1.2] [Reference Citation Analysis]
74 Le Berre C, Sandborn WJ, Aridhi S, Devignes MD, Fournier L, Smaïl-Tabbone M, Danese S, Peyrin-Biroulet L. Application of Artificial Intelligence to Gastroenterology and Hepatology. Gastroenterology 2020;158:76-94.e2. [PMID: 31593701 DOI: 10.1053/j.gastro.2019.08.058] [Cited by in Crossref: 108] [Cited by in F6Publishing: 96] [Article Influence: 36.0] [Reference Citation Analysis]
75 Georgakopoulos SV, Kottari K, Delibasis K, Plagianakos VP, Maglogiannis I. Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters. Neural Comput & Applic 2019;31:1805-22. [DOI: 10.1007/s00521-018-3711-y] [Cited by in Crossref: 8] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
76 Ching HL, McAlindon ME, Sidhu R. An update on small bowel endoscopy. Curr Opin Gastroenterol 2017;33:181-8. [PMID: 28212152 DOI: 10.1097/MOG.0000000000000346] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
77 Ciuti G, Caliò R, Camboni D, Neri L, Bianchi F, Arezzo A, Koulaouzidis A, Schostek S, Stoyanov D, Oddo CM, Magnani B, Menciassi A, Morino M, Schurr MO, Dario P. Frontiers of robotic endoscopic capsules: a review. J Microbio Robot 2016;11:1-18. [PMID: 29082124 DOI: 10.1007/s12213-016-0087-x] [Cited by in Crossref: 54] [Cited by in F6Publishing: 23] [Article Influence: 9.0] [Reference Citation Analysis]
78 Koulaouzidis A, Iakovidis DK, Karargyris A, Rondonotti E. Wireless endoscopy in 2020: Will it still be a capsule? World J Gastroenterol 2015; 21(17): 5119-5130 [PMID: 25954085 DOI: 10.3748/wjg.v21.i17.5119] [Cited by in CrossRef: 63] [Cited by in F6Publishing: 43] [Article Influence: 9.0] [Reference Citation Analysis]
79 Imtiaz MS, Mohammed SK, Deeba F, Wahid KA. Tri-Scan: A Three Stage Color Enhancement Tool for Endoscopic Images. J Med Syst 2017;41:102. [PMID: 28526945 DOI: 10.1007/s10916-017-0738-z] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 0.8] [Reference Citation Analysis]
80 Pannu HS, Ahuja S, Dang N, Soni S, Malhi AK. Deep learning based image classification for intestinal hemorrhage. Multimed Tools Appl 2020;79:21941-66. [DOI: 10.1007/s11042-020-08905-7] [Cited by in Crossref: 6] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
81 [DOI: 10.1145/3354031.3354046] [Cited by in Crossref: 2] [Article Influence: 0.7] [Reference Citation Analysis]
82 Leenhardt R, Li C, Le Mouel JP, Rahmi G, Saurin JC, Cholet F, Boureille A, Amiot X, Delvaux M, Duburque C, Leandri C, Gérard R, Lecleire S, Mesli F, Nion-Larmurier I, Romain O, Sacher-Huvelin S, Simon-Shane C, Vanbiervliet G, Marteau P, Histace A, Dray X. CAD-CAP: a 25,000-image database serving the development of artificial intelligence for capsule endoscopy. Endosc Int Open 2020;8:E415-20. [PMID: 32118115 DOI: 10.1055/a-1035-9088] [Cited by in Crossref: 20] [Cited by in F6Publishing: 14] [Article Influence: 10.0] [Reference Citation Analysis]
83 Alam MW, Vedaei SS, Wahid KA. A Fluorescence-Based Wireless Capsule Endoscopy System for Detecting Colorectal Cancer. Cancers (Basel) 2020;12:E890. [PMID: 32268557 DOI: 10.3390/cancers12040890] [Cited by in Crossref: 8] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
84 Kim SH, Yang DH, Kim JS. Current Status of Interpretation of Small Bowel Capsule Endoscopy. Clin Endosc 2018;51:329-33. [PMID: 30078306 DOI: 10.5946/ce.2018.095] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
85 Vasilakakis MD, Koulaouzidis A, Marlicz W, Iakovidis DK. The future of capsule endoscopy in clinical practice: from diagnostic to therapeutic experimental prototype capsules. Prz Gastroenterol 2020;15:179-93. [PMID: 33005262 DOI: 10.5114/pg.2019.87528] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
86 Chen H, Wu X, Tao G, Peng Q. Automatic content understanding with cascaded spatial–temporal deep framework for capsule endoscopy videos. Neurocomputing 2017;229:77-87. [DOI: 10.1016/j.neucom.2016.06.077] [Cited by in Crossref: 15] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
87 Rukundo O. Non-Extra Pixel Interpolation. Int J Image Grap 2020;20:2050031. [DOI: 10.1142/s021946782050031x] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
88 Xue Y, Li N, Wei X, Wan R, Wang C. Deep Learning-Based Earlier Detection of Esophageal Cancer Using Improved Empirical Wavelet Transform From Endoscopic Image. IEEE Access 2020;8:123765-72. [DOI: 10.1109/access.2020.3006106] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
89 Muhammad K, Khan S, Kumar N, Del Ser J, Mirjalili S. Vision-based personalized Wireless Capsule Endoscopy for smart healthcare: Taxonomy, literature review, opportunities and challenges. Future Generation Computer Systems 2020;113:266-80. [DOI: 10.1016/j.future.2020.06.048] [Cited by in Crossref: 16] [Cited by in F6Publishing: 5] [Article Influence: 8.0] [Reference Citation Analysis]
90 Koulaouzidis A, Iakovidis DK, Yung DE, Rondonotti E, Kopylov U, Plevris JN, Toth E, Eliakim A, Wurm Johansson G, Marlicz W. KID Project: an internet-based digital video atlas of capsule endoscopy for research purposes. Endosc Int Open. 2017;5:E477-E483. [PMID: 28580415 DOI: 10.1055/s-0043-105488] [Cited by in Crossref: 53] [Cited by in F6Publishing: 27] [Article Influence: 10.6] [Reference Citation Analysis]