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Yeganeh Madadi
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2020 – today
- 2024
- [j6]Yeganeh Madadi, Hashem Abu Serhan, Siamak Yousefi:
Domain Adaptation-Based deep learning model for forecasting and diagnosis of glaucoma disease. Biomed. Signal Process. Control. 92: 106061 (2024) - 2023
- [j5]Yeganeh Madadi, Aboozar Monavarfeshani, Hao Chen, W. Daniel Stamer, Robert W. Williams, Siamak Yousefi:
Artificial Intelligence Models for Cell Type and Subtype Identification Based on Single-Cell RNA Sequencing Data in Vision Science. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2837-2852 (2023) - [i3]Hina Raja, Asim Munawar, Mohammad Delsoz, Mohammad Elahi, Yeganeh Madadi, Amr Hassan, Hashem Abu Serhan, Onur Inam, Luis Hermandez, Sang Tran, Wuqas Munir, Alaa A. Abd-alrazaq, Hao Chen, Siamak Yousefi:
Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology. CoRR abs/2308.16688 (2023) - [i2]Yeganeh Madadi, Mohammad Delsoz, Priscilla A. Lao, Joseph W. Fong, TJ Hollingsworth, Malik Y. Kahook, Siamak Yousefi:
ChatGPT Assisting Diagnosis of Neuro-ophthalmology Diseases Based on Case Reports. CoRR abs/2309.12361 (2023) - 2022
- [j4]Yeganeh Madadi, Jian Sun, Hao Chen, Robert W. Williams, Siamak Yousefi:
Detecting retinal neural and stromal cell classes and ganglion cell subtypes based on transcriptome data with deep transfer learning. Bioinform. 38(18): 4321-4329 (2022) - [j3]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 physical rehabilitation purposes. Pattern Anal. Appl. 25(3): 653-677 (2022) - [i1]Yeganeh Madadi, Vahid Seydi, Jian Sun, Edward Chaum, Siamak Yousefi:
Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification. CoRR abs/2209.13420 (2022) - 2021
- [j2]Ali Mollaahmadi Dehaqi, Vahid Seydi, Yeganeh Madadi:
Adversarial Image Caption Generator Network. SN Comput. Sci. 2(3): 182 (2021) - [c1]Yeganeh Madadi, Vahid Seydi, Jian Sun, Edward Chaum, Siamak Yousefi:
Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification. OMIA@MICCAI 2021: 168-178 - 2020
- [j1]Yeganeh Madadi, Vahid Seydi, Kamal Nasrollahi, Reshad Hosseini, Thomas B. Moeslund:
Deep visual unsupervised domain adaptation for classification tasks: a survey. IET Image Process. 14(14): 3283-3299 (2020)
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last updated on 2024-10-07 22:11 CEST by the dblp team
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