Ümit BUDAK
Ümit BUDAK
Bitlis Eren University
beu.edu.tr üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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), 18, 2018
582018
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
362016
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
272019
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
272018
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
262019
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), 14, 2017
262017
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
222019
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
202018
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
202017
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
172017
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
162020
Cascaded Deep Convolutional Encoder-Decoder Neural Networks for Efficient Liver Tumor Segmentation
Ü Budak, Y Guo, E Tanyildizi, A Şengür
Medical Hypotheses, 109431, 2020
152020
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
122012
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), 17, 2019
102019
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
102018
A retinal vessel detection approach using convolution neural network
A Şengür, Y Guo, Ü Budak, LJ Vespa
2017 International Artificial Intelligence and Data Processing Symposium …, 2017
82017
Efficient approach for digitization of the cardiotocography signals
Z Cömert, A Şengür, Y Akbulut, Ü Budak, AF Kocamaz, V Bajaj
Physica A: Statistical Mechanics and its Applications, 122725, 2020
72020
Optic Disc Determination in Retinal Images with Deep Features
A Şengür, BN Akılotu, SA Tuncer, Z Kadiroğlu, S Yavuzkılıç, Ü Budak, ...
26th Signal Processing and Communications Applications Conference (SIU), 2018
72018
A simple and effective approach for digitization of the CTG signals from CTG traces
Z Cömert, A Şengür, Y Akbulut, Ü Budak, AF Kocamaz, S Güngör
IRBM 40 (5), 286-296, 2019
62019
A Survey on Neutrosophic Medical Image Segmentation
A Şengür, U Budak, Y Akbulut, M Karabatak, E Tanyildizi
Neutrosophic Set in Medical Image Analysis, 2019
62019
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20