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Aug 21, 2016 (publication date) through Nov 3, 2024
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Publication Name
World Journal of Gastroenterology
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1007-9327
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| 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] |
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| URL: | https://www.wjgnet.com/1948-5190/full/v22/i31/7124.htm |
| Number | Citing Articles |
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Stefanie Speidel, Sebastian Bodenstedt, Francisco Vasconcelos, Danail Stoyanov. Handbook of Medical Image Computing and Computer Assisted Intervention. 2020; : 721 doi: 10.1016/B978-0-12-816176-0.00034-X
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| 2 |
Michael Gadermayr, Dennis Eschweiler, Abiramjee Jeevanesan, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof. Segmenting renal whole slide images virtually without training data. Computers in Biology and Medicine 2017; 90: 88 doi: 10.1016/j.compbiomed.2017.09.014
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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 Applications. Journal of Clinical Medicine 2021; 10(24): 5770 doi: 10.3390/jcm10245770
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Adriana Molder, Daniel Vasile Balaban, Mariana Jinga, Cristian-Constantin Molder. Current Evidence on Computer-Aided Diagnosis of Celiac Disease: Systematic Review. Frontiers in Pharmacology 2020; 11 doi: 10.3389/fphar.2020.00341
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M. Gadermayr, G. Wimmer, H. Kogler, A. Vécsei, D. Merhof, A. Uhl. Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis. Computers in Biology and Medicine 2018; 102: 221 doi: 10.1016/j.compbiomed.2018.04.020
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Joseph Bou Jaoude, Rose Al Bacha, Bassam Abboud. Will artificial intelligence reach any limit in gastroenterology?. Artificial Intelligence in Gastroenterology 2024; 5(2): 91336 doi: 10.35712/aig.v5.i2.91336
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Muhammad Khawar Sana, Zeshan M. Hussain, Pir Ahmad Shah, Muhammad Haisum Maqsood. Artificial intelligence in celiac disease. Computers in Biology and Medicine 2020; 125: 103996 doi: 10.1016/j.compbiomed.2020.103996
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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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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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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 Images. 2020 IEEE International Conference on Consumer Electronics (ICCE) 2020; : 1 doi: 10.1109/ICCE46568.2020.9043172
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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 images. International Journal of Computer Assisted Radiology and Surgery 2018; 13(1): 151 doi: 10.1007/s11548-017-1671-9
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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 review. Biocybernetics and Biomedical Engineering 2023; 43(1): 82 doi: 10.1016/j.bbe.2022.12.002
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| 13 |
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
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| 14 |
Yu Yang, Yu-Xuan Li, Ren-Qi Yao, Xiao-Hui Du, Chao Ren. Artificial intelligence in small intestinal diseases: Application and prospects. World Journal of Gastroenterology 2021; 27(25): 3734-3747 doi: 10.3748/wjg.v27.i25.3734
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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 algorithm. Gastrointestinal Endoscopy 2023; 97(5): 911 doi: 10.1016/j.gie.2023.01.006
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| 16 |
Michael Gadermayr, Hubert Kogler, Maximilian Karla, Andreas Vecsei, Andreas Uhl, Dorit Merhof. Incorporating human knowledge in automated celiac disease diagnosis. 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) 2016; : 1 doi: 10.1109/IPTA.2016.7821009
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Jasbir Dhaliwal, Catharine M. Walsh. Artificial Intelligence in Pediatric Endoscopy. Gastrointestinal Endoscopy Clinics of North America 2023; 33(2): 291 doi: 10.1016/j.giec.2022.12.001
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| 19 |
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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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 images. Future Generation Computer Systems 2019; 90: 86 doi: 10.1016/j.future.2018.07.044
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