Research

Yeganeh Madadi, et al. "JustRAIGS: Justified Referral in AI Glaucoma Screening Challenge." IEEE Transactions on Medical Imaging, 2025.‏

Yeganeh Madadi, Mohammad Delsoz, Priscilla A. Lao, Joseph W. Fong, T. J. Hollingsworth, and Siamak Yousefi. "Letter to the Editor: Diagnosing Neuro-Ophthalmology Diseases Based on Case Reports: DeepSeek vs. ChatGPT." Journal of Neuro-Ophthalmology, 2025.

Cheng Jiao, Erik Rosas, Hassan Asadigandomani, Mohammad Delsoz, Yeganeh Madadi, Hina Raja, Wuqaas M. Munir, Brendan Tamm, Shiva Mehravaranand, and Mohammad Soleimani. "Diagnostic Performance of Publicly Available Large Language Models in Corneal Diseases: A Comparison with Human Specialists." Diagnostics, 2025.

Yeganeh Madadi, Mohammad Delsoz, Priscilla A. Lao, Joseph W. Fong, T. J. Hollingsworth, Malik Y. Kahook, and Siamak Yousefi. "ChatGPT assisting diagnosis of neuro-ophthalmology diseases based on case reports." Journal of Neuro-Ophthalmology, 2024.

Yeganeh Madadi, Hashem Abu-Serhan, Siamak Yousefi, “Domain Adaptation Feature Learning via low-rank representation for Predicting and Diagnosis Glaucoma Disease”, Biomedical Signal Processing and Control, 2024.

Xiaoqin Huang, Hina Raja, Yeganeh Madadi, Mohammad Delsoz, Asma Poursoroush, Malik Y Kahook, Siamak Yousefi. “Predicting glaucoma before onset using a large language model chatbot”, American Journal of Ophthalmology, 2024.

Mohammad Delsoz, Yeganeh Madadi, Wuqaas M Munir, Brendan Tamm, Shiva Mehravaran, Mohammad Soleimani, Ali Djalilian, and Siamak Yousefi. "Performance of ChatGPT in Diagnosis of Corneal Eye Diseases", Cornea, 2024.

Hina Raja, Asim Munawar, Nikolaos Mylonas, Mohammad Delsoz, Yeganeh Madadi, Muhammad Elahi, Amr Hassan, Hashem Abu Serhan, Onur Inam, Luis Hernandez, Hao Chen, Sang Tran, Wuqaas Munir, Alaa Abd-Alrazaq, Siamak Yousefi. “Automated Category and Trend Analysis of Scientific Articles on Ophthalmology Using Large Language Models: Development and Usability Study”, JMIR formative research, 2024.

Yeganeh Madadi, Mohammad Delsoz, Albert S. Khouri, Michael Boland, Andrzej Grzybowski, and Siamak Yousefi, “Applications of Artificial Intelligence-Enabled Robots and Chatbots in Ophthalmology: Recent Advances and Future Trends”, Current Opinion in Ophthalmology, 2024.

Yeganeh Madadi, Aboozar Monavarfeshani, Hao Chen, Robert Williams, Siamak Yousefi. "Artificial Intelligence Models for Cell Type and Subtype Identification Based on Single-Cell RNA Sequencing Data in Vision Science", IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023.

Yeganeh Madadi, Hao Chen, Lu Lu, Monica M Jablonski, Robert W Williams, Siamak Yousefi. “A Computational Pipeline to Control the Quality and Reduce Contamination in Single Retinal Ganglion Cells”, Journal of Bioinformatics and Systems Biology, 2023.

Mohammad Delsoz, Hina Raja, Yeganeh Madadi, Anthony A. Tang, Barbara M. Wirostko, Malik Y. Kahook, Siamak Yousefi. “The Use of ChatGPT to Assist in Diagnosing Glaucoma Based on Clinical Case Reports”, Ophthalmology and Therapy, 1-12, 2023.

Yeganeh Madadi, Jian Sun, Hao Chen, Robert Williams, Siamak Yousefi. “Detecting retinal neural and stromal cell classes and ganglion cell subtypes based on transcriptome data with deep transfer learning”, Bioinformatics, 38.18, 4321-4329, 2022.‏

Yeganeh Madadi, Mahmood Omid, “AppTree: An Intelligent Platform for Discovering the World of Plants”, International Journal of Web Research, 4(2), 1-7, 2021. 

Yeganeh Madadi, Vahid Seydi, Jian Sun, Edward Chaum, Siamak Yousefi, “Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification”, Ophthalmology Medical Image Analysis, Chapter No. 18, Springer Nature, 2021.

Chaudhary Muhammad Aqdus Ilyas, Matthias Rehm, Kamal Nasrollahi, Yeganeh Madadi, Thomas B. Moeslund, Vahid Seydi, “Deep Transfer Learning in Human-Robot Interaction for Cognitive and Rehabilitation Purposes”. Pattern Analysis and Applications (PAAA), 2021. 

Yeganeh Madadi, Vahid Seydi, Reshad Hosseini, “Multi-Source Domain Adaptation Based Low-Rank Representation and Correlation Alignment”, International Journal of Computers and Applications, 2021. 

Ali Mollaahmadi Dehaqi, Vahid Seydi, Yeganeh Madadi, “Adversarial image caption generator network”, SN Computer Science, Springer, 2021. 

Yeganeh Madadi, Vahid Seydi, Kamal Nasrollahi, Reshad Hosseini, Thomas B. Moeslund, “Deep visual unsupervised domain adaptation for classification tasks: a survey”. IET image processing journal, 2020. DOI:  10.1049/iet-ipr.2020.0087.

Yeganeh Madadi, Vahid Seydi, Reshad Hosseini, “Deep Unsupervised Domain Adaptation for Image Classification via Low Rank Representation Learning”. Journal of Advances in Computer Research, Volume 11, Issue 1, 2020.

Yeganeh Madadi, Mohammad Ebrahim Shiri Ahmadabadi, “An accurate classification algorithm with genetic algorithm approach”. International Journal of Computer & Information Technologies (IJOCIT), (ISSN: 2345-3877), 2014.

Yeganeh Madadi, Hooshang Iravani, Yaser Mohammadi, “Investigating the factors effective on the acquaintance with and use of Information and Communication Technology (ICT) in organizational responsibilities of the faculty members of the College of Agriculture and Natural Resources, University of Tehran”. Journal of Information Technology Management, Volume 6, Issue 1, Page 127-144, (ISSN: 1019-3871), 2014.

Yeganeh Madadi, Amir Manian, Ezatollah Asgharizadeh, “The role of information technology in the success of knowledge base organizations”. Iranian Journal of Agricultural Economics and Development Research, (ISSN: 2008-4338), 2010.

Yeganeh Madadi, Lu Lu, Hao Chen, Xiaoqin Huang, Hina Raja, Mohammad Delsoz, Robert W Williams, Monica M Jablonski, Siamak Yousefi. “Discovering novel glaucoma neural repair genes using computational approaches based on single-cell RNA-seq data”, Investigative Ophthalmology & Visual Science, 65(7), 640-640, 2024.‏

Mohammad Delsoz, Hina Raja, Zain S Hussain, Vahid Mohammadzadeh, Yeganeh Madadi, Xiaoqin Huang, Asma Poursoroush, Jesse Wesberry, Brian Jerkins, Claire Wright, Elliott Kanner, Siamak Yousefi. “Association between glaucoma and mental health disorders by race and ethnicity based on a large national database”, Investigative Ophthalmology & Visual Science, 65(7), 2441-2441, 2024.‏

Xiaoqin Huang, Asma Poursoroush, Yeganeh Madadi, Hina Raja, Mohammad Delsoz, Louis R Pasquale, Michael V Boland, Chris A Johnson, Nazlee Zebardast, Siamak Yousefi. “Forecasting glaucoma from multimodal data using deep learning models”, Investigative Ophthalmology & Visual Science, 65(7), 374-374, 2024‏.

Siamak Yousefi, Xiaoqin Huang, Hina Raja, Yeganeh Madadi, Mohammad Delsoz, Asma Poursoroush, Malik Kahook. Predicting glaucoma before onset using a large language model chatbot. Investigative Ophthalmology & Visual Science, 65(7), 1643-1643, 2024.

Yeganeh Madadi, Siamak Yousefi. “Detecting and Forecasting Glaucoma Through Deep Transfer Learning”, Investigative Ophthalmology & Visual Science, 64.8, 336-336, 2023. 

Yeganeh Madadi, Siamak Yousefi. “Robot-Assisted Glaucoma Diagnosis Based on Artificial Intelligence Algorithms”, Investigative Ophthalmology & Visual Science, 64.9, PP0011-PP0011, 2023.‏

Swapneel Mandal, Xiaoqin Huang, Yeganeh Madadi, Hina Raja, Asma Poursoroush, Mohammad Delsoz, Siamak Yousefi, "Robot-Assisted Glaucoma Assessment Based on Visual Fields", Investigative Ophthalmology & Visual Science, 64.9, PB0022-PB0022, 2023.‏

Yeganeh Madadi, Jian Sun, Hao Chen, Rob Williams, and Siamak Yousefi. “Identification of Retinal Cell Types Based on Single-Cell Transcriptomics”, Investigative Ophthalmology & Visual Science, 63.7, 6-6, 2022.‏

Yeganeh Madadi, Vahid Seydi, Jian Sun, Edward Chaum, Siamak Yousefi, “Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification”, Ophthalmic Medical Image Analysis: 8th International Workshop, OMIA 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings 8. Springer International Publishing, 2021.‏

Siamak Yousefi, Yeganeh Madadi, Jian Sun, Hao Chen, and Robert W. Williams, “Single cell RNA sequencing reference mapping using deep transfer learning”, ISER/Bright Focus Glaucoma Symposium, Atlanta, GA, 2021.

Yeganeh Madadi, Jian Sun, Hao Chen, Monica M. Jablonski, Lu Lu, Robert W. Williams, Siamak Yousefi, “Detecting subtypes of retinal ganglion cells based on single cell RNA-seq data using deep learning”, Investigative Ophthalmology & Visual Science, 62.11, 64-64‏, 2021. 

Yeganeh Madadi, Mohammad Mehdi Ebadzadeh, “Unsupervised transfer learning for face recognition”, International Conference on Electrical & Computer Engineering, Tehran. Iran, 2016.

Yeganeh Madadi, Kumars Ebrahimi, Mohammad Ebrahim Shiri Ahmad abadi, “Clustering and identifying water samples using machine learning algorithms”, The 12th Iranian Hydraulic Conference, Oct 07-08, Karaj, Iran, 2013.

Yeganeh Madadi, Mohammad Ebrahim Shiri Ahmad abadi, “Design an accurate classification algorithm with genetic algorithm approach”, International Conference on Computer, Information Technology and Digital Media (CITaDiM 2013), Tehran, Iran, 2013.

Yeganeh Madadi, Hooshang Iravani, Saeide Nazari Noghabi, “Factors effective on familiarity and usage of Information and Communication Technology (ICT). University College of Agriculture and Natural Resources, University of Tehran, Iran”, Procedia-Social and Behavioral Sciences, 3rd World Conference on Educational Sciences, Feb 03-07, Istanbul, Turkey, (ISSN: 1877-0428), 2011.

Yeganeh Madadi, “The Role of information technology and strategic factors in the development of quality of education”. The 3rd National Conference on Education. May 18-19, Tehran, Iran, 2011.