| Review of MRI-based brain tumor image segmentation using deep learning methods A Işın, C Direkoğlu, M Şah Procedia Computer Science 102, 317-324, 2016 | 902 | 2016 |
| Abnormal crowd behavior detection using motion information images and convolutional neural networks C Direkoglu IEEE Access 8, 80408-80416, 2020 | 87 | 2020 |
| A survey of audio classification using deep learning K Zaman, M Sah, C Direkoglu, M Unoki IEEE Access, 2023 | 70 | 2023 |
| Abnormal crowd behavior detection using novel optical flow-based features C Direkoglu, M Sah, NE O'Connor 2017 14th IEEE international conference on advanced video and signal based …, 2017 | 62 | 2017 |
| Team activity recognition in sports C Direkoǧlu, NE O’Connor Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 55 | 2012 |
| A novel framework and concept-based semantic search Interface for abnormal crowd behaviour analysis in surveillance videos E Hatirnaz, M Sah, C Direkoglu Multimedia Tools and Applications 79 (25), 17579-17617, 2020 | 39 | 2020 |
| On using physical analogies for feature and shape extraction in computer vision MS Nixon, XU Liu, C Direkoğlu, DJ Hurley The Computer Journal 54 (1), 11-25, 2011 | 39 | 2011 |
| Shape classification via image-based multiscale description C Direkoğlu, MS Nixon Pattern Recognition 44 (9), 2134-2146, 2011 | 37 | 2011 |
| Region-based super-resolution aided facial feature extraction from low-resolution sequences T Celik, C Direkoglu, H Ozkaramanli, H Demirel, M Uyguroglu Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 36 | 2005 |
| Shape classification using multiscale Fourier-based description in 2-D space C Direkoglu, MS Nixon 2008 9th International Conference on Signal Processing, 820-823, 2008 | 28 | 2008 |
| Hybrid deep learning models for multivariate forecasting of global horizontal irradiation N Vakitbilir, A Hilal, C Direkoğlu Neural Computing and Applications 34 (10), 8005-8026, 2022 | 27 | 2022 |
| An information retrieval approach to identifying infrequent events in surveillance video S Little, I Jargalsaikhan, K Clawson, M Nieto, H Li, C Direkoglu, ... Proceedings of the 3rd ACM conference on International conference on …, 2013 | 25 | 2013 |
| Hybrid deep learning models for time series forecasting of solar power D Salman, C Direkoglu, M Kusaf, M Fahrioglu Neural Computing and Applications, 1-18, 2024 | 24 | 2024 |
| Worldwide and regional forecasting of coronavirus (covid-19) spread using a deep learning model C Direkoglu, M Sah MedRxiv, 2020.05. 23.20111039, 2020 | 24 | 2020 |
| On using anisotropic diffusion for skeleton extraction C Direkoglu, R Dahyot, M Manzke International journal of computer vision 100, 170-189, 2012 | 21 | 2012 |
| A survey of deep learning methods for multiple sclerosis identification using brain MRI images M Sah, C Direkoglu Neural Computing and Applications 34 (10), 7349-7373, 2022 | 19 | 2022 |
| Player detection in field sports C Direkoglu, M Sah, NE O’Connor Machine Vision and Applications 29, 187-206, 2018 | 18 | 2018 |
| Action recognition based on sparse motion trajectories I Jargalsaikhan, S Little, C Direkoglu, NE O'Connor 2013 IEEE International Conference on Image Processing, 3982-3985, 2013 | 18 | 2013 |
| Image-based multiscale shape description using Gaussian filter C Direkoglu, MS Nixon 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing …, 2008 | 18 | 2008 |
| Moving-edge detection via heat flow analogy C Direkoğlu, MS Nixon Pattern Recognition Letters 32 (2), 270-279, 2011 | 17 | 2011 |
