Mahmoud Marhamati

Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images

Mohammad Momeny, Ali Asghar Neshat, Mohammad Arafat Hussain et al. · Computers in Biology and Medicine · 2021 · 66 citations · Full text

Data Augmentation, Deep Cnn, Image Analysis +14

Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images

Adel Akbarimajd, Nicolas Hoertel, Mohammad Arafat Hussain et al. · Journal of Computational Science · 2022 · 41 citations · Full text

Noisy X-ray Images, Convolutional Neural Network, Image Analysis +9

Greedy Autoaugment for classification of mycobacterium tuberculosis image via generalized deep CNN using mixed pooling based on minimum square rough entropy

Mohammad Momeny, Ali Asghar Neshat, Abdolmajid Gholizadeh et al. · Computers in Biology and Medicine · 2021 · 40 citations

Mycobacterium Tuberculosis Image, Image Classification, Multiple Instance Learning +13

LAIU-Net: A learning-to-augment incorporated robust U-Net for depressed humans’ tongue segmentation

Mahmoud Marhamati, Ali Asghar Latifi Zadeh, Masoud Mozhdehi Fard et al. · Displays · 2023 · 26 citations

Image Analysis, Machine Learning, Engineering +8

Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT

Mohammad Arafat Hussain, Zahra Mirikharaji, Mohammad Momeny et al. · Computerized Medical Imaging and Graphics · 2022 · 21 citations · Full text

Computed Tomography, Image Analysis, Machine Learning +14