5 citations · 13 across the 11 of their papers we have counts for
4 papers · 1 filter
AI-Driven Non-Invasive Detection and Staging of Steatosis in Fatty Liver Disease Using a Novel Cascade Model and Information Fusion Techniques
Niloufar Delfan, Pardis Ketabi Moghadam, Mohammad Khoshnevisan +8
Non-alcoholic fatty liver disease (NAFLD) is one of the most widespread liver disorders on a global scale, posing a significant threat of progressing to more severe conditions like…
AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening
Mehdi Hosseini Chagahi, Niloufar Delfan, Behzad Moshiri +2
Intracranial hemorrhage (ICH) refers to the leakage or accumulation of blood within the skull, which occurs due to the rupture of blood vessels in or around the brain. If this cond…
Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clustering
Mehdi Hosseini Chagahi, Saeed Mohammadi Dashtaki, Niloufar Delfan +5
Osteoporosis is a common condition that increases fracture risk, especially in older adults. Early diagnosis is vital for preventing fractures, reducing treatment costs, and preser…
Explainable AI for Fraud Detection: An Attention-Based Ensemble of CNNs, GNNs, and A Confidence-Driven Gating Mechanism
Mehdi Hosseini Chagahi, Niloufar Delfan, Saeed Mohammadi Dashtaki +2
The rapid expansion of e-commerce and the widespread use of credit cards in online purchases and financial transactions have significantly heightened the importance of promptly and…