| Deep learning for MRI reconstruction using a novel projection based cascaded network D Kocanaogullari, EM Eksioglu 2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019 | 16 | 2019 |
| Eeg-based neglect detection for stroke patients D Kocanaogullari, J Mak, J Kersey, A Khalaf, S Ostadabbas, G Wittenberg, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 4 | 2020 |
| Detection of Stroke-Induced Visual Neglect and Target Response Prediction Using Augmented Reality and Electroencephalography J Mak, D Kocanaogullari, X Huang, J Kersey, M Shih, ES Grattan, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 1840-1850, 2022 | 2 | 2022 |
| Fine-tuning and personalization of eeg-based neglect detection in stroke patients D Kocanaogullari, X Huang, J Mak, M Shih, E Skidmore, GF Wittenberg, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 2 | 2021 |
| Corticomorphic Hybrid CNN-SNN Architecture for EEG-based Low-footprint Low-latency Auditory Attention Detection R Gall, D Kocanaogullari, M Akcakaya, D Erdogmus, R Kubendran arXiv preprint arXiv:2307.08501, 2023 | | 2023 |
| 0760 Applying machine learning to examine settling down period for children with and without sensory hypersensitivities A Hartman, D Kocanaogullari, A Soehner, R Bendixen, M Akcakaya Sleep 46 (Supplement_1), A335-A336, 2023 | | 2023 |
| Spatial Neglect Detection and Field of View Estimation Using a Novel Brain-Computer Interface D Kocanaogullari University of Pittsburgh, 2021 | | 2021 |
| What Goes on When the Lights Go Off? Using Machine Learning Techniques to Characterize a Child's Settling Down Period AG Hartman, D Kocanaogullari, A Soehner, M Akcakaya, R Bendixen Using Machine Learning Techniques to Characterize a Child's Settling Down Period, 0 | | |
