| SpikeDeeptector: a deep-learning based method for detection of neural spiking activity M Saif-ur-Rehman, R Lienkämper, Y Parpaley, J Wellmer, C Liu, B Lee, ... Journal of neural engineering 16 (5), 056003, 2019 | 47 | 2019 |
| SpikeDeep-classifier: a deep-learning based fully automatic offline spike sorting algorithm M Saif-ur-Rehman, O Ali, S Dyck, R Lienkämper, M Metzler, Y Parpaley, ... Journal of Neural Engineering 18 (1), 016009, 2021 | 31 | 2021 |
| Quantifying the alignment error and the effect of incomplete somatosensory feedback on motor performance in a virtual brain–computer-interface setup R Lienkämper, S Dyck, M Saif-ur-Rehman, M Metzler, O Ali, C Klaes Scientific reports 11 (1), 4614, 2021 | 3 | 2021 |
| Universal spike classifier M Saif-ur-Rehman, R Lienkämper, Y Parpaley, J Wellmer, C Liu, B Lee, ... arXiv preprint arXiv:1811.02923, 2018 | 2 | 2018 |
| Which Practical Issues Should I Consider When Planning and Conducting an iEEG Study? EMB Rau, R Lienkämper Intracranial EEG: A Guide for Cognitive Neuroscientists, 51-59, 2023 | | 2023 |
| Assessing current challenges in invasive brain-computer interface research: quantifying of the effects of end-effector misalignment and incomplete somatosensory feedback and … R Lienkämper Dissertation, Bochum, Ruhr-Universität Bochum, 2021, 2021 | | 2021 |
