| BciPy: brain–computer interface software in Python T Memmott, A Koçanaoğulları, M Lawhead, D Klee, S Dudy, M Fried-Oken, ... Brain-Computer Interfaces 8 (4), 137-153, 2021 | 25 | 2021 |
| Digital image decomposition and contrast enhancement using high-dimensional model representation B Tunga, A Koçanaoğulları Signal, Image and Video Processing 12, 299-306, 2018 | 23 | 2018 |
| Optimal query selection using multi-armed bandits A Koçanaoğulları, YM Marghi, M Akçakaya, D Erdoğmuş IEEE signal processing letters 25 (12), 1870-1874, 2018 | 10 | 2018 |
| On analysis of active querying for recursive state estimation A Koçanaoğulları, D Erdoğmuş, M Akçakaya IEEE signal processing letters 25 (6), 743-747, 2018 | 9 | 2018 |
| Recursive estimation of user intent from noninvasive electroencephalography using discriminative models N Smedemark-Margulies, B Celik, T Imbiriba, A Kocanaogullari, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 6 | 2023 |
| Learning the regularization in dce-mr image reconstruction for functional imaging of kidneys A Koçanaoğulları, C Ariyurek, O Afacan, S Kurugol IEEE Access 10, 4102-4111, 2021 | 4 | 2021 |
| Bcipy: A python framework for brain-computer interface research T Memmott, A Kocanaogullari, D Erdogmus, S Bedrick, B Peters, ... 7th International BCI meeting, 2018 | 4 | 2018 |
| Incorporating temporal dependency on erp based bci A Koçanaoğullari, F Quivira, D Erdoğmuş 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 4 | 2018 |
| An active recursive state estimation framework for brain-interfaced typing systems A Koçanaoğulları, Y M. Marghi, M Akçakaya, D Erdoğmuş Brain-Computer Interfaces 6 (4), 149-161, 2019 | 3 | 2019 |
| A history-based stopping criterion in recursive bayesian state estimation YM Marghi, A Koçanaoğulları, M Akçakaya, D Erdoğmuş ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 3 | 2019 |
| Stopping criterion design for recursive Bayesian classification: analysis and decision geometry A Koçanaoğulları, M Akcakaya, D Erdoğmuş IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5590-5601, 2021 | 2 | 2021 |
| Geometric analysis of uncertainty sampling for dense neural network layer A Koçanaoğulları, N Smedemark-Margulies, M Akcakaya, D Erdoğmuş IEEE signal processing letters 28, 867-871, 2021 | 2 | 2021 |
| Active descriptor learning for feature matching A Kocanaogullari, E Ataer-Cansizoglu Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 2 | 2018 |
| Motion‐compensated image reconstruction for improved kidney function assessment using dynamic contrast‐enhanced MRI C Ariyurek, A Koçanaoğulları, O Afacan, S Kurugol NMR in Biomedicine 37 (6), e5116, 2024 | 1 | 2024 |
| PyGRASP: A standalone python image reconstruction library for DCE-MRI acquired with radial sampling C Ariyurek, A Kocanaogullari, TC Sari, S Vasylechko, O Afacan, S Kurugol ISMRM, 2404, 2023 | 1 | 2023 |
| Active recursive Bayesian inference using Rényi information measures YM Marghi, A Koçanaoğulları, M Akçakaya, D Erdoğmuş Pattern Recognition Letters 154, 90-98, 2022 | 1 | 2022 |
| Coil selective golden angle dce-mr image reconstruction using mutual dependence A Kocanaogullari, C Ariyurek, O Afacan, S Kurugol Proceedings of the 30th annual meeting of ismrm, london ISMRM 2442, 2022 | 1 | 2022 |
| Prospective motion correction in kidney MRI using free induction decay navigators C Ariyurek, TE Wallace, T Kober, A Koçanaoğulları, SK Warfield, ... ISMRM poster session on motion detection and correction, 2021 | 1 | 2021 |
| A dereverberation formulation based on sparsity A Koçanaoğulları, İ Bayram 2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015 | 1 | 2015 |
| System for training descriptor with active sample selection A Kocanaogullari, E Cansizoglu, RI Corcodel US Patent 10,810,468, 2020 | | 2020 |
Deniz ErdogmusProfessor of ECE, Northeastern UniversityZweryfikowany adres z ece.neu.edu