Ali Asghar Neshat

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◁ ▷ joint publications with coauthor community group 1

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Publications

2022
[j5]
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Mohammad Momeny, Ali Asghar Neshat, Abdolmajid Gholizadeh, Ahad Jafarnezhad, Elham Rahmanzadeh, Mahmoud Marhamati, Bagher Moradi, Ali Ghafoorifar, Yu-Dong Zhang:
Greedy Autoaugment for classification of mycobacterium tuberculosis image via generalized deep CNN using mixed pooling based on minimum square rough entropy. Comput. Biol. Medicine 141: 105175 (2022)
[j4]
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Mohammad Arafat Hussain, Zahra Mirikharaji, Mohammad Momeny, Mahmoud Marhamati, Ali Asghar Neshat, Rafeef Garbi, Ghassan Hamarneh:
Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT. Comput. Medical Imaging Graph. 102: 102127 (2022)
[j3]
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Mohammad Momeny, Ahmad Jahanbakhshi, Ali Asghar Neshat, Ramazan Hadipour-Rokni, Yu-Dong Zhang, Yiannis Ampatzidis:
Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks. Ecol. Informatics 71: 101829 (2022)
[j2]
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Adel Akbarimajd, Nicolas Hoertel, Mohammad Arafat Hussain, Ali Asghar Neshat, Mahmoud Marhamati, Mahdi Bakhtoor, Mohammad Momeny:
Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images. J. Comput. Sci. 63: 101763 (2022)
2021
[j1]
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Mohammad Momeny, Ali Asghar Neshat, Mohammad Arafat Hussain, Solmaz S. Kia, Mahmoud Marhamati, Ahmad Jahanbakhshi, Ghassan Hamarneh:
Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images. Comput. Biol. Medicine 136: 104704 (2021)

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