15 citations · 65 across the 13 of their papers we have counts for
13 papers
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…
IoMT-based Automated Leukemia Classification using CNN and Higher Order Singular Value
Shabnam Bagheri Marzijarani, Mohammad Zolfaghari, Hedieh Sajedi
The Internet of Things (IoT) is a concept by which objects find identity and can communicate with each other in a network. One of the applications of the IoT is in the field of med…
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…
Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models
Ali Rostami, Fatemeh Fouladi, Hedieh Sajedi
Coronary artery disease stands as one of the primary contributors to global mortality rates. The automated identification of coronary artery stenosis from X-ray images plays a crit…
Brain Age Estimation with a Greedy Dual-Stream Model for Limited Datasets
Iman Kianian, Hedieh Sajedi
Brain age estimation involves predicting the biological age of individuals from their brain images, which offers valuable insights into the aging process and the progression of neu…
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…
Convolutional Neural Network-Based Image Watermarking using Discrete Wavelet Transform
Alireza Tavakoli, Zahra Honjani, Hedieh Sajedi
With the growing popularity of the Internet, digital images are used and transferred more frequently. Although this phenomenon facilitates easy access to information, it also creat…