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Cited by in CrossRef
For: Gadermayr M, Kogler H, Karla M, Merhof D, Uhl A, Vécsei A. Computer-aided texture analysis combined with experts' knowledge: Improving endoscopic celiac disease diagnosis. World J Gastroenterol 2016; 22(31): 7124-7134 [PMID: 27610022 DOI: 10.3748/wjg.v22.i31.7124]
URL: https://www.wjgnet.com/1948-5190/full/v22/i31/7124.htm
Number Citing Articles
1
Stefanie Speidel, Sebastian Bodenstedt, Francisco Vasconcelos, Danail Stoyanov. Handbook of Medical Image Computing and Computer Assisted Intervention2020; : 721 doi: 10.1016/B978-0-12-816176-0.00034-X
2
Michael Gadermayr, Dennis Eschweiler, Abiramjee Jeevanesan, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof. Segmenting renal whole slide images virtually without training dataComputers in Biology and Medicine 2017; 90: 88 doi: 10.1016/j.compbiomed.2017.09.014
3
Vasilios Tanos, Marios Neofytou, Ahmed Samy Abdulhady Soliman, Panayiotis Tanos, Constantinos S. Pattichis. Is Computer-Assisted Tissue Image Analysis the Future in Minimally Invasive Surgery? A Review on the Current Status of Its ApplicationsJournal of Clinical Medicine 2021; 10(24): 5770 doi: 10.3390/jcm10245770
4
Adriana Molder, Daniel Vasile Balaban, Mariana Jinga, Cristian-Constantin Molder. Current Evidence on Computer-Aided Diagnosis of Celiac Disease: Systematic ReviewFrontiers in Pharmacology 2020; 11 doi: 10.3389/fphar.2020.00341
5
M. Gadermayr, G. Wimmer, H. Kogler, A. Vécsei, D. Merhof, A. Uhl. Automated classification of celiac disease during upper endoscopy: Status quo and quo vadisComputers in Biology and Medicine 2018; 102: 221 doi: 10.1016/j.compbiomed.2018.04.020
6
Muhammad Khawar Sana, Zeshan M. Hussain, Pir Ahmad Shah, Muhammad Haisum Maqsood. Artificial intelligence in celiac diseaseComputers in Biology and Medicine 2020; 125: 103996 doi: 10.1016/j.compbiomed.2020.103996
7
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
8
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
9
Yusuke YOSHINOBU, Yutaro IWAMOTO, Xianhua HAN, Lanfen LIN, Hongjie HU, Qiaowei ZHANG, Yen-Wei CHEN. Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images2020 IEEE International Conference on Consumer Electronics (ICCE) 2020; : 1 doi: 10.1109/ICCE46568.2020.9043172
10
Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Wenchao Zhu, Jian Wang, Xian-Hua Han, Yen-Wei Chen. Texture-specific bag of visual words model and spatial cone matching-based method for the retrieval of focal liver lesions using multiphase contrast-enhanced CT imagesInternational Journal of Computer Assisted Radiology and Surgery 2018; 13(1): 151 doi: 10.1007/s11548-017-1671-9
11
V. Jahmunah, Joel En Wei Koh, Vidya K. Sudarshan, U. Raghavendra, Anjan Gudigar, Shu Lih Oh, Hui Wen Loh, Oliver Faust, Prabal Datta Barua, Edward J. Ciaccio, U. Rajendra Acharya. Endoscopy, video capsule endoscopy, and biopsy for automated celiac disease detection: A reviewBiocybernetics and Biomedical Engineering 2023; 43(1): 82 doi: 10.1016/j.bbe.2022.12.002
12
K. U. Erendgenova, E. D. Fedorov, R. M. Kadushnikov, O. A. Kulagina, V. V. Mizgulin, D. I. Starodubov, S. I. Studenok. Proceedings of the Scientific-Practical Conference "Research and Development - 2016"2018; : 21 doi: 10.1007/978-3-319-62870-7_3
13
Yu Yang, Yu-Xuan Li, Ren-Qi Yao, Xiao-Hui Du, Chao Ren. Artificial intelligence in small intestinal diseases: Application and prospectsWorld Journal of Gastroenterology 2021; 27(25): 3734-3747 doi: 10.3748/wjg.v27.i25.3734
14
Markus W. Scheppach, David Rauber, Johannes Stallhofer, Anna Muzalyova, Vera Otten, Carolin Manzeneder, Tanja Schwamberger, Julia Wanzl, Jakob Schlottmann, Vidan Tadic, Andreas Probst, Elisabeth Schnoy, Christoph Römmele, Carola Fleischmann, Michael Meinikheim, Silvia Miller, Bruno Märkl, Andreas Stallmach, Christoph Palm, Helmut Messmann, Alanna Ebigbo. Detection of duodenal villous atrophy on endoscopic images using a deep learning algorithmGastrointestinal Endoscopy 2023; 97(5): 911 doi: 10.1016/j.gie.2023.01.006
15
Michael Gadermayr, Hubert Kogler, Maximilian Karla, Andreas Vecsei, Andreas Uhl, Dorit Merhof. Incorporating human knowledge in automated celiac disease diagnosis2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) 2016; : 1 doi: 10.1109/IPTA.2016.7821009
16
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
17
Jasbir Dhaliwal, Catharine M. Walsh. Artificial Intelligence in Pediatric EndoscopyGastrointestinal Endoscopy Clinics of North America 2023; 33(2): 291 doi: 10.1016/j.giec.2022.12.001
18
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
19
Joel En Wei Koh, Yuki Hagiwara, Shu Lih Oh, Jen Hong Tan, Edward J. Ciaccio, Peter H. Green, Suzanne K. Lewis, U. Rajendra Acharya. Automated diagnosis of celiac disease using DWT and nonlinear features with video capsule endoscopy imagesFuture Generation Computer Systems 2019; 90: 86 doi: 10.1016/j.future.2018.07.044