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YAYINLAR
1) Zeynep Yıldırım, Emrah Hançer, Refik Samet, Mohamed Traore Mali, Nooshin Nemati, “Effect of Color Normalization on Nuclei Segmentation Problem in H&E Stained Histopathology Images”, 30th Signal Processing and Communications Applications Conference (SIU), Sayfalar 1-4, IEEE, 2022.
2) Nooshin Nemati, Emrah Hançer, Refik Samet, Zeynep Yıldırım, Mohamed Traore Mali, “A Comparative Study of Deep Semantic Segmentation Architectures for Mitosis Detection in Histopathology Images”, The 8th International Conference on Control and Optimization with Industrial Applications (COIA2022), Sayfalar 363-365, COIA2022 Proceeding, Volume II, 2022.
(http://www.coia-conf.org/upload/editor/files/COIA2022_V2.pdf)
3) Mohamed Traore Mali, Emrah Hançer, Refik Samet, Zeynep Yıldırım, Nooshin Nemati, “Detection of Colorectal Cancer with Vision Transformers”, 2022 Innovations in Intelligent Systems and Applications Conference (ASYU), Sayfalar 1-6, IEEE, 2022.
4) Emrah Hançer, Mohamed Traoré, Refik Samet, Zeynep Yıldırım, Nooshin Nemati, “An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images”, Journal of Biomedical Signal Processing and Control, Volume 83, pp. 1-10, 2023.
(https://www.sciencedirect.com/science/article/abs/pii/S1746809423001532)
5) Nooshin Nemati, Refik Samet, Emrah Hancer, Zeynep Yildirim, Mohamed Traore, “A Mitosis Detection and Classification Methodology with YOLOv5 and Fuzzy Classifiers”, Proceedings of the 9th World Congress on Electrical Engineering and Computer Systems and Sciences (EECSS’23), Paper No. MVML 111, DOI: 10.11159/mvml23.111, pp. MVML 111-1- MVML 111-8, Brunel University, London, United Kingdom – August 03-05, 2023.
(https://avestia.com/EECSS2023_Proceedings/files/paper/MVML/MVML_111.pdf)
6) Zeynep Yildirim, Refik Samet, Emrah Hancer, Nooshin Nemati, Mohamed Traore Mali, ” Gland Segmentation in H&E Histopathological Images using U-Net with Attention Module”, The 12th International Conference on Image Processing Theory, Tools and Applications IPTA 2023.
(https://drive.google.com/file/d/1ASO09FsGfwO7tWTIAZGqKdhASPQ1IfBQ/view?usp=sharing)
7) Nooshin Nemati, Refik Samet, Emrah Hancer, Zeynep Yildirim, Eyyup Ensar Akkas, ” A Hybridized Deep Learning Methodology for Mitosis Detection and Classification from Histopathology Images”, Journal of Machine Intelligence and Data Science (JMIDS), Volume 4 – Year 2023 – Pages 35-53, DOI: 10.11159/jmids.2023.005.
8) Mohamed Traoré, Emrah Hancer, Refik Samet, Zeynep Yıldırım, Nooshin Nemati, ” CompSegNet: An enhanced U-shaped architecture for nuclei segmentation in H&E histopathology images”, Journal of Biomedical Signal Processing and Control, Volume 97, Year 2024, https://doi.org/10.1016/j.bspc.2024.106699.
https://www.sciencedirect.com/science/article/pii/S1746809424007572