180 citations · 248 across the 7 of their papers we have counts for
8 papers
Medical image registration using unsupervised deep neural network: A scoping literature review
Samaneh Abbasi, Meysam Tavakoli, Hamid Reza Boveiri +5
In medicine, image registration is vital in image-guided interventions and other clinical applications. However, it is a difficult subject to be addressed which by the advent of ma…
Deep Image: A precious image based deep learning method for online malware detection in IoT Environment
Meysam Ghahramani, Rahim Taheri, Mohammad Shojafar +2
The volume of malware and the number of attacks in IoT devices are rising everyday, which encourages security professionals to continually enhance their malware analysis tools. Res…
Cyrus 2D Simulation Team Description Paper 2016
Nader Zare, Ashkan Keshavarzi, Seyed Ehsan Beheshtian +6
This description includes some explanation about algorithms and also algorithms that are being implemented by Cyrus team members. The objectives of this description are to express…
A New Approach to Image Compression in Industrial Internet of Things
Nahid Hajizadeh, Pirooz Shamsinejad, Reza Javidan
Applying image sensors in automation of Industrial Internet of Things (IIoT) technology is on the rise, day by day. In such companies, a large number of high volume images are tran…
Medical Image Registration Using Deep Neural Networks: A Comprehensive Review
Hamid Reza Boveiri, Raouf Khayami, Reza Javidan +1
Image-guided interventions are saving the lives of a large number of patients where the image registration problem should indeed be considered as the most complex and complicated i…
Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features
Rahim Taheri, Meysam Ghahramani, Reza Javidan +3
In this paper, we develop four malware detection methods using Hamming distance to find similarity between samples which are first nearest neighbors (FNN), all nearest neighbors (A…
On Defending Against Label Flipping Attacks on Malware Detection Systems
Rahim Taheri, Reza Javidan, Mohammad Shojafar +3
Label manipulation attacks are a subclass of data poisoning attacks in adversarial machine learning used against different applications, such as malware detection. These types of a…
Can Machine Learning Model with Static Features be Fooled: an Adversarial Machine Learning Approach
Rahim Taheri, Reza Javidan, Mohammad Shojafar +2
The widespread adoption of smartphones dramatically increases the risk of attacks and the spread of mobile malware, especially on the Android platform. Machine learning-based solut…