| Fuzzy c-means clustering on medical diagnostic systems S Albayrak, F Amasyali Proceedings of International XII. Turkish Symposium on Artificial …, 2003 | 93 | 2003 |
| Visualization and analysis of classifiers performance in multi-class medical data B Diri, S Albayrak Expert Systems with Applications 34 (1), 628-634, 2008 | 71 | 2008 |
| Real time isolated turkish sign language recognition from video using hidden markov models with global features H Haberdar, S Albayrak International Symposium on Computer and Information Sciences, 677-687, 2005 | 41 | 2005 |
| Comparison of feature selection algorithms for medical data H Dağ, KE Sayin, I Yenidoğan, S Albayrak, C Acar 2012 International Symposium on Innovations in Intelligent Systems and …, 2012 | 36 | 2012 |
| Automatic segmentation of cartilage in high-field magnetic resonance images of the knee joint with an improved voxel-classification-driven region-growing algorithm using … CN Öztürk, S Albayrak Computers in biology and medicine 72, 90-107, 2016 | 32 | 2016 |
| Curvelet-based synthetic aperture radar image classification E Uslu, S Albayrak IEEE Geoscience and Remote Sensing Letters 11 (6), 1071-1075, 2013 | 32 | 2013 |
| Use of deep learning in soccer videos analysis: survey S Akan, S Varlı Multimedia Systems 29 (3), 897-915, 2023 | 29 | 2023 |
| An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images A Saygılı, S Albayrak Artificial Intelligence in Medicine 97, 118-130, 2019 | 27 | 2019 |
| A kinect based sign language recognition system using spatio-temporal features A Memiş, S Albayrak Sixth International Conference on Machine Vision (ICMV 2013) 9067, 179-183, 2013 | 27 | 2013 |
| Alleviating class imbalance problem in data mining A Sarmanova, S Albayrak 2013 21st signal processing and communications applications conference (SIU …, 2013 | 26 | 2013 |
| A turnaround control system to automatically detect and monitor the time stamps of ground service actions in airports: A deep learning and computer vision based approach S Yıldız, O Aydemir, A Memiş, S Varlı Engineering Applications of Artificial Intelligence 114, 105032, 2022 | 25 | 2022 |
| Object detection in shelf images with YOLO CG Melek, EB Sonmez, S Albayrak IEEE EUROCON 2019-18th International Conference on Smart Technologies, 1-5, 2019 | 24 | 2019 |
| Turkish Sign Language recognition using spatio-temporal features on Kinect RGB video sequences and depth maps A Memiş, S Albayrak 2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013 | 24 | 2013 |
| Semantic segmentation of the multiform proximal femur and femoral head bones with the deep convolutional neural networks in low quality MRI sections acquired in different MRI … A Memiş, S Varlı, F Bilgili Computerized Medical Imaging and Graphics 81, 101715, 2020 | 23 | 2020 |
| Turkish fingerspelling recognition system using Generalized Hough Transform, interest regions, and local descriptors O Altun, S Albayrak Pattern Recognition Letters 32 (13), 1626-1632, 2011 | 22 | 2011 |
| A new computer-based approach for fully automated segmentation of knee meniscus from magnetic resonance images A Saygılı, S Albayrak Biocybernetics and Biomedical Engineering 37 (3), 432-442, 2017 | 21 | 2017 |
| Saklı Markov model kullanılarak görüntüden gerçek zamanlı Türk işaret dili tanıma sistemi H Haberdar Yıldız Technical University, İstanbul, 2005 | 21 | 2005 |
| Turkish fingerspelling recognition system using axis of least inertia based fast alignment O Altun, S Albayrak, A Ekinci, B Bükün AI 2006: Advances in Artificial Intelligence: 19th Australian Joint …, 2006 | 20 | 2006 |
| A survey of product recognition in shelf images CG Melek, EB Sonmez, S Albayrak 2017 International conference on computer science and engineering (UBMK …, 2017 | 17 | 2017 |
| Automatic recognition of Turkish fingerspelling F Işikdoğan, S Albayrak 2011 International Symposium on Innovations in Intelligent Systems and …, 2011 | 15 | 2011 |
