| 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 | 205 | 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 | 106 | 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 | 104 | 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 | 90 | 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 | 85 | 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 | 76 | 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 | 57 | 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 | 55 | 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 | 51 | 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 | 50 | 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 | 46 | 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 | 33 | 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 | 33 | 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 | 31 | 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 | 30 | 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 | 27 | 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 | 24 | 2018 |
| Neutrosophic set in medical image analysis Y Guo, A Ashour Academic Press, 2019 | 22 | 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 | 20 | 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 | 19 | 2012 |
Abdulkadir SengurFirat UniversityVerified email at firat.edu.tr
