Mohammad Momeny

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 8

Top Topics

Image Segmentation

Top Venues

Comput. Biol. Medicine

J. Comput. Sci.

Comput. Medical Imaging Graph.

Publications

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 (2023)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2021)
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 (2021)
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 (2021)