JustRAIGS: Justified Referral in AI Glaucoma Screening Challenge.

Yeganeh Madadi https://orcid.org/0000-0003-4292-3404

Yeganeh Madadi Hina Raja Koenraad A. Vermeer Hans G. Lemij Xiaoqin Huang Eunjin Kim Seunghoon Lee Gitaek Kwon Hyunwoo Kim Jaeyoung Kim Adrian Galdran Miguel Ángel González Ballester Dan Presil Kristhian Aguilar Victor Cavalcante Celso B. Carvalho Waldir Sabino da Silva Júnior Mateus Oliveira Hui Lin Charilaos Apostolidis Aggelos K. Katsaggelos Tomasz Kubrak Ángela Casado-García Jónathan Heras Marcos Ortega 0001 Lucía Ramos Philippe Zhang Yihao Li Jing Zhang Weili Jiang Pierre-Henri Conze Mathieu Lamard Gwenolé Quellec Mostafa El Habib Daho Madukuri Shaurya Anumeha Varma Monika Agrawal Siamak Yousefi JustRAIGS: Justified Referral in AI Glaucoma Screening Challenge. 320-335 2026 January 45 IEEE Trans. Medical Imaging 1 https://doi.org/10.1109/TMI.2025.3596874 db/journals/tmi/tmi45.html#MadadiRVLHKLKKKGBPACCJO26 streams/journals/tmi

Nathan Pereira Yeganeh Madadi Deployment-Oriented Benchmarking of Open-Source Large Language Models for Social Robots. 412-415 2026 HRI Companion https://doi.org/10.1145/3776734.3794426 conf/hri/2026c db/conf/hri/hri2026c.html#PereiraM26

Yeganeh Madadi Hashem Abu Serhan Siamak Yousefi Domain Adaptation-Based deep learning model for forecasting and diagnosis of glaucoma disease. 106061 2024 92 Biomed. Signal Process. Control. https://doi.org/10.1016/j.bspc.2024.106061 db/journals/bspc/bspc92.html#MadadiSY24

Yeganeh Madadi Aboozar Monavarfeshani Hao Chen 0007 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. 2837-2852 2023 September - October 20 IEEE ACM Trans. Comput. Biol. Bioinform. 5 https://doi.org/10.1109/TCBB.2023.3284795 https://www.wikidata.org/entity/Q130848604 db/journals/tcbb/tcbb20.html#MadadiMCSWY23

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 0007 Siamak Yousefi Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology. 2023 abs/2308.16688 CoRR https://doi.org/10.48550/arXiv.2308.16688 db/journals/corr/corr2308.html#abs-2308-16688

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. 2023 abs/2309.12361 CoRR https://doi.org/10.48550/arXiv.2309.12361 db/journals/corr/corr2309.html#abs-2309-12361

Yeganeh Madadi Jian Sun Hao Chen 0007 Robert W. Williams Siamak Yousefi Detecting retinal neural and stromal cell classes and ganglion cell subtypes based on transcriptome data with deep transfer learning. 4321-4329 2022 38 Bioinform. 18 https://doi.org/10.1093/bioinformatics/btac514 https://www.wikidata.org/entity/Q114939559 db/journals/bioinformatics/bioinformatics38.html#MadadiSCWY22

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. 653-677 2022 25 Pattern Anal. Appl. 3 https://doi.org/10.1007/s10044-021-00988-8 db/journals/paa/paa25.html#IlyasRNMMS22

Yeganeh Madadi Vahid Seydi Jian Sun Edward Chaum Siamak Yousefi Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification. 2022 abs/2209.13420 CoRR https://doi.org/10.48550/arXiv.2209.13420 db/journals/corr/corr2209.html#abs-2209-13420

Ali Mollaahmadi Dehaqi Vahid Seydi Yeganeh Madadi Adversarial Image Caption Generator Network. 182 2021 2 SN Comput. Sci. 3 https://doi.org/10.1007/s42979-021-00486-y db/journals/sncs/sncs2.html#DehaqiSM21

Yeganeh Madadi Vahid Seydi Jian Sun Edward Chaum Siamak Yousefi Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification. 168-178 2021 OMIA@MICCAI https://doi.org/10.1007/978-3-030-87000-3_18 conf/miccai/2021omia db/conf/miccai/omia2021.html#MadadiSSCY21

Yeganeh Madadi Vahid Seydi Kamal Nasrollahi Reshad Hosseini Thomas B. Moeslund Deep visual unsupervised domain adaptation for classification tasks: a survey. 3283-3299 2020 14 IET Image Process. 14 https://doi.org/10.1049/iet-ipr.2020.0087 db/journals/iet-ipr/iet-ipr14.html#MadadiSNHM20

Alaa A. Abd-AlrazaqAlaa A. Abd-alrazaq Monika Agrawal Kristhian Aguilar Charilaos Apostolidis Miguel Ángel González Ballester Celso B. Carvalho Ángela CasadoÁngela Casado-García Victor F. CavalcanteVictor Cavalcante Edward Chaum Hao Chen 0007 Pierre-Henri Conze Mostafa El Habib Daho Ali Mollaahmadi Dehaqi Mohammad Delsoz Mohammad Elahi Joseph W. Fong Adrian Galdran Amr Hassan Jónathan Heras Luis Hermandez TJ Hollingsworth Reshad Hosseini Xiaoqin Huang Chaudhary Muhammad Aqdus Ilyas Onur Inam Weili Jiang Waldir S. S. JúniorWaldir Sabino da Silva Júnior Malik Y. Kahook Aggelos K. Katsaggelos Eunjin Kim Hyunwoo Kim Jaeyoung Kim Tomasz Kubrak Gitaek Kwon Mathieu Lamard Priscilla A. Lao Seunghoon Lee Hans G. Lemij Yihao Li Hui Lin Thomas B. Moeslund Aboozar Monavarfeshani Asim Munawar Wuqas Munir Kamal Nasrollahi Mateus Oliveira Marcos Ortega 0001 Nathan Pereira Dan Presil Gwenolé Quellec Hina Raja Lucía Ramos Matthias Rehm Hashem Abu Serhan Vahid Seydi Madukuri Shaurya W. Daniel Stamer Jian Sun Sang Tran Anumeha Varma Koen A. VermeerKoenraad A. Vermeer Robert W. Williams Siamak Yousefi Jing Zhang Philippe Zhang