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Mohammad Momeny
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2020 – today
- 2023
- [j8]Mahmoud Marhamati, Ali Asghar Latifi Zadeh, Masoud Mozhdehi Fard, Mohammad Arafat Hussain, Khalegh Jafarnezhad, Ahad Jafarnezhad, Mahdi Bakhtoor, Mohammad Momeny:
LAIU-Net: A learning-to-augment incorporated robust U-Net for depressed humans' tongue segmentation. Displays 76: 102371 (2023) - 2022
- [j7]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) - [j6]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) - [j5]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) - [j4]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
- [j3]Mohammad Momeny, Ali Asghar Neshat, Mohammad Arafat Hussain, Solmaz 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) - [j2]Ahmad Jahanbakhshi, Yousef Abbaspour-Gilandeh, Kobra Heidarbeigi, Mohammad Momeny:
A novel method based on machine vision system and deep learning to detect fraud in turmeric powder. Comput. Biol. Medicine 136: 104728 (2021) - [j1]Ahmad Jahanbakhshi, Yousef Abbaspour-Gilandeh, Kobra Heidarbeigi, Mohammad Momeny:
Detection of fraud in ginger powder using an automatic sorting system based on image processing technique and deep learning. Comput. Biol. Medicine 136: 104764 (2021)
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