49 citations · 60 across the 10 of their papers we have counts for
10 papers
A Comprehensive Review of Artificial Intelligence Applications in Major Retinal Conditions
Hina Raja, Taimur Hassan, Bilal Hassan +5
This paper provides a systematic survey of retinal diseases that cause visual impairments or blindness, emphasizing the importance of early detection for effective treatment. It co…
Identifying factors associated with fast visual field progression in patients with ocular hypertension based on unsupervised machine learning
Xiaoqin Huang, Asma Poursoroush, Jian Sun +3
Purpose: To identify ocular hypertension (OHT) subtypes with different trends of visual field (VF) progression based on unsupervised machine learning and to discover factors associ…
ChatGPT Assisting Diagnosis of Neuro-ophthalmology Diseases Based on Case Reports
Yeganeh Madadi, Mohammad Delsoz, Priscilla A. Lao +4
Objective: To evaluate the efficiency of large language models (LLMs) such as ChatGPT to assist in diagnosing neuro-ophthalmic diseases based on detailed case descriptions. Methods…
Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification
Yeganeh Madadi, Vahid Seydi, Jian Sun +2
Domain adaptation is an attractive approach given the availability of a large amount of labeled data with similar properties but different domains. It is effective in image classif…
Artificial Intelligence Models for Cell Type and Subtype Identification Based on Single-Cell RNA Sequencing Data in Vision Science
Yeganeh Madadi, Aboozar Monavarfeshani, Hao Chen +3
Single-cell RNA sequencing (scRNA-seq) provides a high throughput, quantitative and unbiased framework for scientists in many research fields to identify and characterize cell type…
A Novel Approach for Ellipsoidal Outer-Approximation of the Intersection Region of Ellipses in the Plane
Siamak Yousefi, Xiao-Wen Chang, Henk Wymeersch +2
In this paper, a novel technique for tight outer-approximation of the intersection region of a finite number of ellipses in 2-dimensional (2D) space is proposed. First, the vertice…
A Survey of Human Activity Recognition Using WiFi CSI
Siamak Yousefi, Hirokazu Narui, Sankalp Dayal +2
In this article, we present a survey of recent advances in passive human behaviour recognition in indoor areas using the channel state information (CSI) of commercial WiFi systems.…
Mobile Localization in Non-Line-of-Sight Using Constrained Square-Root Unscented Kalman Filter
Siamak Yousefi, Xiao-Wen Chang, Benoit Champagne
Localization and tracking of a mobile node (MN) in non-line-of-sight (NLOS) scenarios, based on time of arrival (TOA) measurements, is considered in this work. To this end, we deve…
Distributed Cooperative Localization in Wireless Sensor Networks without NLOS Identification
Siamak Yousefi, Xiao-Wen Chang, Benoit Champagne
In this paper, a 2-stage robust distributed algorithm is proposed for cooperative sensor network localization using time of arrival (TOA) data without identification of non-line of…
A Joint Localization and Clock Bias Estimation Technique Using Time-of-Arrival at Multiple Antenna Receivers
Siamak Yousefi, Xiao-Wen Chang, Benoit Champagne
In this work, a system scheme is proposed for tracking a radio emitting target moving in two-dimensional space. The localization is based on the use of biased time-of-arrival (TOA)…