Yeganeh Madadi

According to our database, Yeganeh Madadi authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, W. Daniel Stamer, Robert W. Williams, Siamak Yousefi

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

ChatGPT Assisting Diagnosis of Neuro-ophthalmology Diseases Based on Case Reports.

Yeganeh Madadi, Mohammad Delsoz, Priscilla A. Lao, Joseph W. Fong, TJ Hollingsworth, Malik Y. Kahook, Siamak Yousefi

CoRR, 2023

Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology.

Hina Raja, Asim Munawar, Mohammad Delsoz, Mohammad Elahi, Yeganeh Madadi, Amr Hassan, Hashem Abu Serhan, Onur Inam, Luis Hermandez, Sang Tran, Wuqas Munir, Alaa Abd-Alrazaq, Hao Chen, Siamak Yousefi

CoRR, 2023

2022

Deep transfer learning in human-robot interaction for cognitive and physical rehabilitation purposes.

Chaudhary Muhammad Aqdus Ilyas, Matthias Rehm, Kamal Nasrollahi, Yeganeh Madadi, Thomas B. Moeslund, Vahid Seydi

Pattern Anal. Appl., 2022

Detecting retinal neural and stromal cell classes and ganglion cell subtypes based on transcriptome data with deep transfer learning.

Yeganeh Madadi, Jian Sun, Hao Chen, Robert W. Williams, Siamak Yousefi

Bioinform., 2022

2021

Adversarial Image Caption Generator Network.

Ali Mollaahmadi Dehaqi, Vahid Seydi, Yeganeh Madadi

SN Comput. Sci., 2021

Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification.

Yeganeh Madadi, Vahid Seydi, Jian Sun, Edward Chaum, Siamak Yousefi

Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021

2020

Deep visual unsupervised domain adaptation for classification tasks: a survey.

Yeganeh Madadi, Vahid Seydi, Kamal Nasrollahi, Reshad Hosseini, Thomas B. Moeslund

IET Image Process., 2020