16 citations · 30 across the 14 of their papers we have counts for
5 papers · 1 filter
NeuroVascU-Net: A Unified Multi-Scale and Cross-Domain Adaptive Feature Fusion U-Net for Precise 3D Segmentation of Brain Vessels in Contrast-Enhanced T1 MRI
Mohammad Jafari Vayeghan, Niloufar Delfan, Mehdi Tale Masouleh +2
Precise 3D segmentation of cerebral vasculature from T1-weighted contrast-enhanced (T1CE) MRI is crucial for safe neurosurgical planning. Manual delineation is time-consuming and p…
AI-Driven Relocation Tracking in Dynamic Kitchen Environments
Arash Nasr Esfahani, Hamed Hosseini, Mehdi Tale Masouleh +2
As smart homes become more prevalent in daily life, the ability to understand dynamic environments is essential which is increasingly dependent on AI systems. This study focuses on…
Scene Understanding in Pick-and-Place Tasks: Analyzing Transformations Between Initial and Final Scenes
Seraj Ghasemi, Hamed Hosseini, MohammadHossein Koosheshi +2
With robots increasingly collaborating with humans in everyday tasks, it is important to take steps toward robotic systems capable of understanding the environment. This work focus…
Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks
Mohammad Amin Haghpanah, Ehsan Saeedizade, Mehdi Tale Masouleh +1
This paper presents a lightweight algorithm for feature extraction, classification of seven different emotions, and facial expression recognition in a real-time manner based on sta…
A Deep Learning Based Automated Hand Hygiene Training System
Mobina Shahbandeh, Fatemeh Ghaffarpour, Sina Vali +4
Hand hygiene is crucial for preventing viruses and infections. Due to the pervasive outbreak of COVID-19, wearing a mask and hand hygiene appear to be the most effective ways for t…