1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
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.…
AugmenTory: A Fast and Flexible Polygon Augmentation Library
Tanaz Ghahremani, Mohammad Hoseyni, Mohammad Javad Ahmadi +2
Data augmentation is a key technique for addressing the challenge of limited datasets, which have become a major component in the training procedures of image processing. Technique…