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Kadir Budak
Kadir Budak
AI Team Lead at Akgun Computer Inc.
Verified email at akgun.com.tr
Title
Cited by
Cited by
Year
Classification of monkeypox skin lesion using the explainable artificial intelligence assisted convolutional neural networks
KD Akın, C Gurkan, A Budak, H Karataş
Avrupa Bilim ve Teknoloji Dergisi, 106-110, 2022
282022
A detection and prediction model based on deep learning assisted by explainable artificial intelligence for kidney diseases
AF Bayram, C Gurkan, A Budak, H KARATAŞ
Avrupa Bilim ve Teknoloji Dergisi, 67-74, 2022
152022
Açıklanabilir Yapay Zeka Destekli Evrişimsel Sinir Ağları Kullanılarak Maymun Çiçeği Deri Lezyonunun Sınıflandırılması
KD AKIN, C GURKAN, A BUDAK, H KARATAŞ
Eur. J. Sci. Technol, 106-110, 2022
52022
Automatic Skull Stripping and Brain Segmentation with U-Net in MRI Database
A Derin, AF Bayram, C Gurkan, A Budak, H KARATAŞ
Avrupa Bilim ve Teknoloji Dergisi, 75-81, 2022
32022
Pancreas Segmentation Using U-Net Based Segmentation Networks in CT Modality: A Comparative Analysis
A Derin, C Gurkan, A Budak, H KARATAŞ
Avrupa Bilim ve Teknoloji Dergisi, 94-98, 2022
32022
Classification and Segmentation of Alzheimer Disease in MRI Modality using the Deep Convolutional Neural Networks
F Karakaya, C Gurkan, A Budak, H KARATAŞ
Avrupa Bilim ve Teknoloji Dergisi, 99-105, 2022
32022
Analysis of the Effects of Segmentation Networks and Loss Functions in Ischemic Stroke Lesion Segmentation
AF Bayram, A Derin, C Gurkan, A Budak, H KARATAŞ
Avrupa Bilim ve Teknoloji Dergisi, 82-87, 2022
22022
Mask R-CNN kullanılarak yeni bir MRG veri tabanında prostat bölgelerinin segmentasyonu: PACS sistemi üzerinde bir uygulama
C Gurkan, A Budak, H Karatas, K Akin
1*2023
Effect of Preprocessing and Loss Functions on a Novel Dataset: An Application on MRI-Based Prostate Lesion Segmentation using U-Net
C Gurkan, A Budak, H Karatas, K Akin
12022
Convolutional Neural Networks for MRI-Based Brain Tumor Segmentation: A Comparative Analysis of State-of-the-Art Segmentation Networks
AF Bayram, C Gurkan, A Budak, H KARATAŞ
Turkish Journal of Forecasting 6 (2), 61-66, 2022
12022
Cardiothoracic ratio calculation and cardiomegaly detection based on object detection
ZC Taçyildiz, E Kiliç, A Budak, H Karataş
2021 29th Signal Processing and Communications Applications Conference (SIU …, 2021
12021
Segmentation of prostate zones on a novel MRI database using Mask R-CNN: An implementation on PACS system
Ç Gürkan, A Budak, H Karatas, K Akın
Journal of the Faculty of Engineering and Architecture of Gazi University 39 …, 2024
2024
Segmentation of the Aorta in CTA Images Using Deep Learning Methods
B ÖF, A BUDAK, H KARATAS, M CEYLAN
2023
Pulmonary Nodule Detection on X-Ray Images using a One-Stage Object Detector Based on a Deep Convolutional Neural Network
A ÇELİKTEN, S DEMİREL, A URFALI, ÖF BOZKIR, A BUDAK, ...
5th International Conference on Applied Engineering and Natural Sciences, 2023
2023
Improving Mass Detection in Mammography Using Focal Loss Based RetinaNet
HK Semih DEMİREL ,Ataberk URFALI, Ömer Faruk BOZKIR, Azer ÇELİKTEN ...
Turkish Journal of Forecasting 7 (1), 1 - 9, 2023
2023
Fully Automatic End-to-End Convolutional Neural Networks-Based Pancreatic Tumor Segmentation on CT Modality
AF Bayram, C Gurkan, A Budak, H KARATAŞ
Turkish Journal of Forecasting 6 (2), 67-72, 2022
2022
Segmentation of prostate zones on a novel MRI database using Mask R-CNN: an implementation on PACS system
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