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Cited by in CrossRef
For: Huerta-Franco MR, Vargas-Luna M, Montes-Frausto JB, Flores-Hernández C, Morales-Mata I. Electrical bioimpedance and other techniques for gastric emptying and motility evaluation. World J Gastrointest Pathophysiol 2012; 3(1): 10-18 [PMID: 22368782 DOI: 10.4291/wjgp.v3.i1.10]
URL: https://www.wjgnet.com/1007-9327/full/v3/i1/10.htm
Number Citing Articles
1
Talha Ali Khan, Sai Ho Ling. Review on Electrical Impedance Tomography: Artificial Intelligence Methods and its ApplicationsAlgorithms 2019; 12(5): 88 doi: 10.3390/a12050088
2
Peng Ran, Zhichao Liu, Chen Zeng, Zhangyong Li, Jiewen Deng, Jingwen Wang. Modeling and imaging of intestinal electrical impedance based on conjugate gradient methodInternational Journal for Numerical Methods in Biomedical Engineering 2020; 36(10) doi: 10.1002/cnm.3383
3
Quoc Tuan Nguyen Diep, Hoang Nam Nguyen, Tich Thien Truong, Trung Nghia Tran. 9th International Conference on the Development of Biomedical Engineering in VietnamIFMBE Proceedings 2024; 95: 1008 doi: 10.1007/978-3-031-44630-6_80
4
Yaron P. Bar-Lavie, Danny Epstein, Michael Roimi, Shirly Steinlauf. Detection of gastroesophageal reflux by multichannel intraluminal impedance technology during mechanical ventilation: the first case seriesClinical Nutrition Open Science 2022; 44: 118 doi: 10.1016/j.nutos.2022.06.008
5
Marta Vilchez-Monge, David Canales-Vasquez, Renato Rimolo-Donadio. Image Reconstruction of the Human Foearm by Electrical Impedance Tomography2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI) 2017; : 1 doi: 10.1109/IWOBI.2017.7985535
6
Ridwan Wicaksono, Panji Nursetia Darma, Atsuo Inoue, Hideyuki Tsuji, Masahiro Takei. Wearable sectorial electrical impedance tomography and k-means clustering for measurement of gastric processesMeasurement Science and Technology 2022; 33(9): 094002 doi: 10.1088/1361-6501/ac6e2e
7
Mikhail Ivanenko, Waldemar T. Smolik, Damian Wanta, Mateusz Midura, Przemysław Wróblewski, Xiaohan Hou, Xiaoheng Yan. Image Reconstruction Using Supervised Learning in Wearable Electrical Impedance Tomography of the ThoraxSensors 2023; 23(18): 7774 doi: 10.3390/s23187774