3 citations · 4 across the 7 of their papers we have counts for
7 papers
When More References Hurt: Contamination-Aware DINOv2 Memory Banks for Few-Shot Steel Defect Detection
Hannaneh Kalantary, Javad Khoramdel
Patch-memory anomaly detectors assume that their reference bank is normal, an assumption that is difficult to guarantee when additional industrial images are unverified. We study w…
Parameter-efficient Prompt Tuning of Vision Foundation Model With Adaptive Focal Loss for Interpretable MCI Screening
Javad Khoramdel, Farhad Hoseyni, Amirhossein Nikoofard
Mild Cognitive Impairment is a critical early stage of cognitive decline that frequently precedes Alzheimer's disease, yet its automated detection from neuropsychological drawing t…
PoseDriver: A Unified Approach to Multi-Category Skeleton Detection for Autonomous Driving
Yasamin Borhani, Taylor Mordan, Yihan Wang +3
Object skeletons offer a concise representation of structural information, capturing essential aspects of posture and orientation that are crucial for autonomous driving applicatio…
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.…
YOLO-Former: YOLO Shakes Hand With ViT
Javad Khoramdel, Ahmad Moori, Yasamin Borhani +2
The proposed YOLO-Former method seamlessly integrates the ideas of transformer and YOLOv4 to create a highly accurate and efficient object detection system. The method leverages th…