15 citations · 65 across the 13 of their papers we have counts for
9 papers · 1 filter
On the Uphill Battle of Image frequency Analysis
Nader Bazyari, Hedieh Sajedi
This work is a follow up on the newly proposed clustering algorithm called The Inverse Square Mean Shift Algorithm. In this paper a special case of algorithm for dealing with non-h…
Unsupervised Anomaly Detection with an Enhanced Teacher for Student-Teacher Feature Pyramid Matching
Mohammad Zolfaghari, Hedieh Sajedi
Anomaly detection or outlier is one of the challenging subjects in unsupervised learning . This paper is introduced a student-teacher framework for anomaly detection that its teach…
Detection of retinal diseases using an accelerated reused convolutional network
Amin Ahmadi Kasani, Hedieh Sajedi
Convolutional neural networks are continually evolving, with some efforts aimed at improving accuracy, others at increasing speed, and some at enhancing accessibility. Improving ac…
PVTAdpNet: Polyp Segmentation using Pyramid vision transformer with a novel Adapter block
Arshia Yousefi Nezhad, Helia Aghaei, Hedieh Sajedi
Colorectal cancer ranks among the most common and deadly cancers, emphasizing the need for effective early detection and treatment. To address the limitations of traditional colono…
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…
Predict joint angle of body parts based on sequence pattern recognition
Amin Ahmadi Kasani, Hedieh Sajedi
The way organs are positioned and moved in the workplace can cause pain and physical harm. Therefore, ergonomists use ergonomic risk assessments based on visual observation of the…
Hand bone age estimation using divide and conquer strategy and lightweight convolutional neural networks
Amin Ahmadi Kasani, Hedieh Sajedi
Estimating the Bone Age of children is very important for diagnosing growth defects, and related diseases, and estimating the final height that children reach after maturity. For t…
Gallbladder Cancer Detection in Ultrasound Images based on YOLO and Faster R-CNN
Sara Dadjouy, Hedieh Sajedi
Medical image analysis is a significant application of artificial intelligence for disease diagnosis. A crucial step in this process is the identification of regions of interest wi…
A survey on automated detection and classification of acute leukemia and WBCs in microscopic blood cells
Mohammad Zolfaghari, Hedieh Sajedi
Leukemia (blood cancer) is an unusual spread of White Blood Cells or Leukocytes (WBCs) in the bone marrow and blood. Pathologists can diagnose leukemia by looking at a person's blo…