5 citations · 7 across the 4 of their papers we have counts for
4 papers
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…
Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology
Hina Raja, Asim Munawar, Mohammad Delsoz +11
Purpose: In this paper, we present an automated method for article classification, leveraging the power of Large Language Models (LLM). The primary focus is on the field of ophthal…
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…