Gorkem Polat

Orcid: 0000-0002-1499-3491

According to our database1, Gorkem Polat authored at least 12 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
ARFED: Attack-Resistant Federated averaging based on outlier elimination.
Future Gener. Comput. Syst., April, 2023

Ulcerative Colitis Mayo Endoscopic Scoring Classification with Active Learning and Generative Data Augmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.
CoRR, 2022

Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity Estimation.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

2021
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.
Medical Image Anal., 2021

BARFED: Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination.
CoRR, 2021

Polyp Detection in Colonoscopy Images using DeepLearning and Bootstrap Aggregation.
Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) co-located with with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), 2021

Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
A translational pathway of deep learning methods in GastroIntestinal Endoscopy.
CoRR, 2020

Endoscopic Artefact Detection with Ensemble of Deep Neural Networks and False Positive Elimination.
Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, 2020

2018
False Positive Reduction in Lung Computed Tomography Images using Convolutional Neural Networks.
CoRR, 2018

Effect of input size on the classification of lung nodules using convolutional neural networks.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018


  Loading...