9 citations · 22 across the 8 of their papers we have counts for
9 papers
Estimation of Acetabular Version from Anteroposterior Pelvic Radiograph Employing Deep Learning
Ata Jodeiri, Hadi Seyedarabi, Fatemeh Shahbazi +2
Background and Objective: The Acetabular version, an essential factor in total hip arthroplasty, is measured by CT scan as the gold standard. The dose of radiation and expensivenes…
Multi-Scale Convolutional Neural Network for Automated AMD Classification using Retinal OCT Images
Saman Sotoudeh-Paima, Ata Jodeiri, Fedra Hajizadeh +1
Age-related macular degeneration (AMD) is the most common cause of blindness in developed countries, especially in people over 60 years of age. The workload of specialists and the…
Automatic Ship Classification Utilizing Bag of Deep Features
Sadegh Soleimani Pour, Ata Jodeiri, Hossein Rashidi +3
Detection and classification of ships based on their silhouette profiles in natural imagery is an important undertaking in computer science. This problem can be viewed from a varie…
Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks
Elham Yousef Kalaf, Ata Jodeiri, Seyed Kamaledin Setarehdan +4
Reliable classification of benign and malignant lesions in breast ultrasound images can provide an effective and relatively low cost method for early diagnosis of breast cancer. Th…
Accurate Stress Assessment based on functional Near Infrared Spectroscopy using Deep Learning Approach
Mahya Mirbagheri, Ata Jodeiri, Naser Hakimi +2
Stress is known as one of the major factors threatening human health. A large number of studies have been performed in order to either assess or relieve stress by analyzing the bra…
Speech Enhancement via Deep Spectrum Image Translation Network
Hamidreza Baradaran Kashani, Ata Jodeiri, Mohammad Mohsen Goodarzi +1
Quality and intelligibility of speech signals are degraded under additive background noise which is a critical problem for hearing aid and cochlear implant users. Motivated to addr…