Mohammad Momeny
Orcid: 0000-0002-8512-8307
According to our database1,
Mohammad Momeny
authored at least 8 papers
between 2021 and 2023.
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Bibliography
2023
LAIU-Net: A learning-to-augment incorporated robust U-Net for depressed humans' tongue segmentation.
Displays, January, 2023
2022
Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images.
J. Comput. Sci., 2022
Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks.
Ecol. Informatics, 2022
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., 2022
Greedy Autoaugment for classification of mycobacterium tuberculosis image via generalized deep CNN using mixed pooling based on minimum square rough entropy.
Comput. Biol. Medicine, 2022
2021
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, 2021
Detection of fraud in ginger powder using an automatic sorting system based on image processing technique and deep learning.
Comput. Biol. Medicine, 2021
A novel method based on machine vision system and deep learning to detect fraud in turmeric powder.
Comput. Biol. Medicine, 2021