69 citations · 112 across the 6 of their papers we have counts for
7 papers
Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images
Mohsen Ahmadi, Masoumeh Farhadi Nia, Sara Asgarian +4
In this study, the main objective is to develop an algorithm capable of identifying and delineating tumor regions in breast ultrasound (BUS) and mammographic images. The technique…
Supervised Multi-Regional Segmentation Machine Learning Architecture for Digital Twin Applications in Coastal Regions
Mohsen Ahmadi, Ahmad Gholizadeh Lonbar, Mohammadsadegh Nouri +4
This study explores the use of a digital twin model and deep learning method to build a global terrain and altitude map based on USGS information. The goal is to artistically repre…
Application of Segment Anything Model for Civil Infrastructure Defect Assessment
Mohsen Ahmadi, Ahmad Gholizadeh Lonbar, Hajar Kazemi Naeini +4
This research assesses the performance of two deep learning models, SAM and U-Net, for detecting cracks in concrete structures. The results indicate that each model has its own str…
DQRE-SCnet: A novel hybrid approach for selecting users in Federated Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering
Mohsen Ahmadi, Ali Taghavirashidizadeh, Danial Javaheri +3
Machine learning models based on sensitive data in the real-world promise advances in areas ranging from medical screening to disease outbreaks, agriculture, industry, defense scie…
SN4KE: Practical Mutation Testing at Binary Level
Mohsen Ahmadi, Pantea Kiaei, Navid Emamdoost
Mutation analysis is an effective technique to evaluate a test suite adequacy in terms of revealing unforeseen bugs in software. Traditional source- or IR-level mutation analysis i…
MIMOSA: Reducing Malware Analysis Overhead with Coverings
Mohsen Ahmadi, Kevin Leach, Ryan Dougherty +2
There is a growing body of malware samples that evade automated analysis and detection tools. Malware may measure fingerprints ("artifacts") of the underlying analysis tool or envi…
Rewrite to Reinforce: Rewriting the Binary to Apply Countermeasures against Fault Injection
Pantea Kiaei, Cees-Bart Breunesse, Mohsen Ahmadi +2
Fault injection attacks can cause errors in software for malicious purposes. Oftentimes, vulnerable points of a program are detected after its development. It is therefore critical…