43 citations · 63 across the 7 of their papers we have counts for
8 papers
Deepfake Detection of Occluded Images Using a Patch-based Approach
Mahsa Soleimani, Ali Nazari, Mohsen Ebrahimi Moghaddam
DeepFake involves the use of deep learning and artificial intelligence techniques to produce or change video and image contents typically generated by GANs. Moreover, it can be mis…
A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance Images
Shahabedin Nabavi, Hossein Simchi, Mohsen Ebrahimi Moghaddam +2
Background and Objectives: Cardiovascular magnetic resonance (CMR) imaging is a powerful modality in functional and anatomical assessment for various cardiovascular diseases. Suffi…
Smart ROI Detection for Alzheimer's disease prediction using explainable AI
Atefe Aghaei, Mohsen Ebrahimi Moghaddam
Purpose Predicting the progression of MCI to Alzheimer's disease is an important step in reducing the progression of the disease. Therefore, many methods have been introduced for t…
Automatic Multi-Class Cardiovascular Magnetic Resonance Image Quality Assessment using Unsupervised Domain Adaptation in Spatial and Frequency Domains
Shahabedin Nabavi, Hossein Simchi, Mohsen Ebrahimi Moghaddam +2
Population imaging studies rely upon good quality medical imagery before downstream image quantification. This study provides an automated approach to assess image quality from car…
Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis: A Review
Shahabedin Nabavi, Azar Ejmalian, Mohsen Ebrahimi Moghaddam +4
Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. The disease presents with symptoms such as shortness of breath, fever, dry cough,…
A Disk Scheduling Algorithm Based on ANT Colony Optimization
Hossein Rahmani, Sajjad Arshad, Mohsen Ebrahimi Moghaddam
Audio, animations and video belong to a class of data known as delay sensitive because they are sensitive to delays in presentation to the users. Also, because of huge data in such…
A Weighted Multi-Criteria Decision Making Approach for Image Captioning
Hassan Maleki Galandouz, Mohsen Ebrahimi Moghaddam, Mehrnoush Shamsfard
Image captioning aims at automatically generating descriptions of an image in natural language. This is a challenging problem in the field of artificial intelligence that has recen…
A Novel Scheme for Intelligent Recognition of Pornographic Images
Seyed Mostafa Kia, Hossein Rahmani, Reza Mortezaei +2
Harmful contents are rising in internet day by day and this motivates the essence of more research in fast and reliable obscene and immoral material filtering. Pornographic image r…