A novel method based on machine vision system and deep learning to detect fraud in turmeric powder. - Ahmad Jahanbakhshi; Yousef Abbaspour-Gilandeh; Kobra Heidarbeigi; Mohammad Momeny (Comput. Biol. Medicine, 2021)

Detection of fraud in ginger powder using an automatic sorting system based on image processing technique and deep learning. - Ahmad Jahanbakhshi; Yousef Abbaspour-Gilandeh; Kobra Heidarbeigi; Mohammad Momeny (Comput. Biol. Medicine, 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. - Mohammad Momeny; Ali Asghar Neshat; Mohammad Arafat Hussain; Solmaz S. Kia; Mahmoud Marhamati; Ahmad Jahanbakhshi; Ghassan Hamarneh (Comput. Biol. Medicine, 2021)

Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks. - Mohammad Momeny; Ahmad Jahanbakhshi; Ali Asghar Neshat; Ramazan Hadipour-Rokni; Yu-Dong Zhang 001; Yiannis Ampatzidis (Ecol. Informatics, 2022)

Intelligent detection of citrus fruit pests using machine vision system and convolutional neural network through transfer learning technique. - Ramazan Hadipour-Rokni; Ezzatollah Askari Asli-Ardeh; Ahmad Jahanbakhshi; Iman Esmaili Paeen Afrakoti; Sajad Sabzi (Comput. Biol. Medicine, 2023)

Medicinal and poisonous plants classification from visual characteristics of leaves using computer vision and deep neural networks. - Rahim Azadnia; Faramarz Noei-Khodabadi; Azad Moloudzadeh; Ahmad Jahanbakhshi; Mahmoud Omid (Ecol. Informatics, 2024)