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Ece Isik-Polat
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Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
S Ali, N Ghatwary, D Jha, E Isik-Polat, G Polat, C Yang, W Li, A Galdran, ...
Scientific Reports 14 (1), 2032, 2024
352024
Biomedical image analysis competitions: The state of current participation practice
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ...
arXiv preprint arXiv:2212.08568, 2022
232022
Polyp Detection in Colonoscopy Images using Deep Learning and Bootstrap Aggregation
G Polat, E Işık Polat, K Kayabay, A Temizel
IEEE International Symposium on Biomedical Imaging, Endoscopy Detection and …, 2021
102021
Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation
E Isik-Polat, G Polat, A Kocyigit, A Temizel
Lecture Notes in Computer Science 12963, 405-419, 2022
9*2022
ARFED: Attack-Resistant Federated averaging based on outlier elimination
E Isik-Polat, G Polat, A Kocyigit
Future Generation Computer Systems 141, 626-650, 2023
8*2023
A Simple Implementation of FedAvg (Federated Averaging) with PyTorch| by Ece Işık Polat| Towards Data Science
F Learning
2
BYZANTINE ATTACK ROBUST FEDERATED LEARNING
E Işık Polat
Middle East Technical University, 2021
2021
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