3 papers
cs.CV2026
CT Scans As Video: Efficient Intracranial Hemorrhage Detection Using Multi-Object Tracking
Amirreza Parvahan, Mohammad Hoseyni, Javad Khoramdel +1
Automated analysis of volumetric medical imaging on edge devices is severely constrained by the high memory and computational demands of 3D Convolutional Neural Networks (CNNs). Th…
cs.CV2025
Hemorica: A Comprehensive CT Scan Dataset for Automated Brain Hemorrhage Classification, Segmentation, and Detection
Kasra Davoodi, Mohammad Hoseyni, Javad Khoramdel +5
Timely diagnosis of Intracranial hemorrhage (ICH) on Computed Tomography (CT) scans remains a clinical priority, yet the development of robust Artificial Intelligence (AI) solution…
cs.CV2025
Benchmarking Class Activation Map Methods for Explainable Brain Hemorrhage Classification on Hemorica Dataset
Z. Rafati, M. Hoseyni, J. Khoramdel +1
Explainable Artificial Intelligence (XAI) has become an essential component of medical imaging research, aiming to increase transparency and clinical trust in deep learning models.…