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Assessing deep learning methods for the identification of kidney stones in endoscopic images


Mar 01, 2021
Francisco Lopez, Andres Varela, Oscar Hinojosa, Mauricio Mendez, Dinh-Hoan Trinh, Jonathan ElBeze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul

* This paper is currently under review for the IEEE Engineering in Medicine and Biology Conference (EMBC 2021) 

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A translational pathway of deep learning methods in GastroIntestinal Endoscopy


Oct 12, 2020
Sharib Ali, Mariia Dmitrieva, Noha Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Le Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James East, Jens Rittscher

* 30 pages 

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Endoscopy disease detection challenge 2020


Mar 07, 2020
Sharib Ali, Noha Ghatwary, Barbara Braden, Dominique Lamarque, Adam Bailey, Stefano Realdon, Renato Cannizzaro, Jens Rittscher, Christian Daul, James East


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Endoscopy artifact detection (EAD 2019) challenge dataset


May 08, 2019
Sharib Ali, Felix Zhou, Christian Daul, Barbara Braden, Adam Bailey, Stefano Realdon, James East, Georges Wagnières, Victor Loschenov, Enrico Grisan, Walter Blondel, Jens Rittscher

* 12 pages, EAD2019 dataset description 

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Construction of extended 3D field of views of the internal bladder wall surface: a proof of concept


Jul 16, 2016
Achraf Ben-Hamadou, Christian Daul, Charles Soussen

* 23 pages, Springer 3D Research, 2016 

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Comparative study of image registration techniques for bladder video-endoscopy


Apr 29, 2015
Achraf Ben-Hamadou, Charles Soussen, Walter Blondel, Christian Daul, Didier Wolf

* Novel Optical Instrumentation for Biomedical Applications, 737118 (10 July 2009) 
* 7 pages, 5 figures 

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