Cited by
Cited by
Transfer learning based histopathologic image classification for breast cancer detection
E Deniz, A Şengür, Z Kadiroğlu, Y Guo, V Bajaj, Ü Budak
Health information science and systems 6, 1-7, 2018
Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images
Ü Budak, Z Cömert, ZN Rashid, A Şengür, M Çıbuk
Applied Soft Computing 85, 105765, 2019
An improved residual-based convolutional neural network for very short-term wind power forecasting
C Yildiz, H Acikgoz, D Korkmaz, U Budak
Energy Conversion and Management 228, 113731, 2021
An effective hybrid model for EEG-based drowsiness detection
U Budak, V Bajaj, Y Akbulut, O Atila, A Sengur
IEEE sensors journal 19 (17), 7624-7631, 2019
Cascaded Deep Convolutional Encoder-Decoder Neural Networks for Efficient Liver Tumor Segmentation
Ü Budak, Y Guo, E Tanyildizi, A Şengür
Medical Hypotheses, 109431, 2020
Efficient deep features selections and classification for flower species recognition
M Cıbuk, U Budak, Y Guo, MC Ince, A Sengur
Measurement 137, 7-13, 2019
A retinal vessel detection approach using convolution neural network with reinforcement sample learning strategy
Y Guo, Ü Budak, LJ Vespa, E Khorasani, A Şengür
Measurement 125, 586-591, 2018
Efficient airport detection using line segment detector and fisher vector representation
Ü Budak, U Halıcı, A Şengür, M Karabatak, Y Xiao
IEEE Geoscience and Remote Sensing Letters 13 (8), 1079-1083, 2016
A novel retinal vessel detection approach based on multiple deep convolution neural networks
Y Guo, Ü Budak, A Şengür
Computer methods and programs in biomedicine 167, 43-48, 2018
A novel microaneurysms detection approach based on convolutional neural networks with reinforcement sample learning algorithm
U Budak, A Şengür, Y Guo, Y Akbulut
Health information science and systems 5, 1-10, 2017
DCCMED-Net: Densely Connected and Concatenated Multi Encoder-Decoder CNNs for Retinal Vessel Extraction from Fundus Images
Ü Budak, Z Cömert, M Çıbuk, A Şengür
Medical Hypotheses 134, 109426, 2020
Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models
Z Cömert, A Şengür, Ü Budak, AF Kocamaz
Health information science and systems 7, 1-9, 2019
Deep learning based face liveness detection in videos
Y Akbulut, A Şengür, Ü Budak, S Ekici
2017 international artificial intelligence and data processing symposium …, 2017
A retinal vessel detection approach based on shearlet transform and indeterminacy filtering on fundus images
Y Guo, Ü Budak, A Şengür, F Smarandache
Symmetry 9 (10), 235, 2017
A Survey on Neutrosophic Medical Image Segmentation
A Şengür, U Budak, Y Akbulut, M Karabatak, E Tanyildizi
Neutrosophic Set in Medical Image Analysis, 2019
Chronic tympanic membrane diagnosis based on deep convolutional neural network
E Başaran, Z Cömert, A Şengür, Ü Budak, Y Çelik, M Toğaçar
2019 4th International Conference on Computer Science and Engineering (UBMK …, 2019
Deep Feature Extraction for Face Liveness Detection
A Şengür, Z Akhtar, Y Akbulut, S Ekici, Ü Budak
Artificial Intelligence and Data Processing Symposium (IDAP), 2018 International, 2018
Neutrosophic set in medical image analysis
Y Guo, A Ashour
Academic Press, 2019
Efficient COVID-19 segmentation from CT slices exploiting semantic segmentation with integrated attention mechanism
Ü Budak, M Çıbuk, Z Cömert, A Şengür
Journal of Digital Imaging 34, 263-272, 2021
Modeling and implementation of a biomimetic robotic fish
D Korkmaz, U Budak, C Bal, GO Koca, ZH Akpolat
International Symposium on Power Electronics Power Electronics, Electrical …, 2012
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