BCI for stroke rehabilitation: motor and beyond R Mane, T Chouhan, C Guan Journal of neural engineering 17 (4), 041001, 2020 | 279 | 2020 |
Federated transfer learning for EEG signal classification C Ju, D Gao, R Mane, B Tan, Y Liu, C Guan 2020 42nd annual international conference of the IEEE engineering in …, 2020 | 130 | 2020 |
FBCNet: A multi-view convolutional neural network for brain-computer interface R Mane, E Chew, K Chua, KK Ang, N Robinson, AP Vinod, SW Lee, ... arXiv preprint arXiv:2104.01233, 2021 | 95 | 2021 |
Prognostic and monitory EEG-biomarkers for BCI upper-limb stroke rehabilitation R Mane, E Chew, KS Phua, KK Ang, N Robinson, AP Vinod, C Guan IEEE transactions on neural systems and rehabilitation engineering 27 (8 …, 2019 | 77 | 2019 |
A multi-view CNN with novel variance layer for motor imagery brain computer interface R Mane, N Robinson, AP Vinod, SW Lee, C Guan 2020 42nd annual international conference of the IEEE engineering in …, 2020 | 68 | 2020 |
Emerging trends in BCI-robotics for motor control and rehabilitation N Robinson, R Mane, T Chouhan, C Guan Current Opinion in Biomedical Engineering 20, 100354, 2021 | 54 | 2021 |
Quantitative EEG as biomarkers for the monitoring of post-stroke motor recovery in BCI and tDCS rehabilitation R Mane, E Chew, KS Phua, KK Ang, AP Vinod, C Guan 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 24 | 2018 |
Deep learning for neuroimaging segmentation with a novel data augmentation strategy W Wu, Y Lu, R Mane, C Guan 2020 42nd annual international conference of the IEEE engineering in …, 2020 | 22 | 2020 |
Beyond BCI—Validating a wireless, consumer-grade EEG headset against a medical-grade system for evaluating EEG effects of a test anxiety intervention in school KH Khng, R Mane Advanced Engineering Informatics 45, 101106, 2020 | 21 | 2020 |
Poststroke motor, cognitive and speech rehabilitation with brain–computer interface: a perspective review R Mane, Z Wu, D Wang Stroke and vascular neurology 7 (6), 2022 | 20 | 2022 |
Data-driven clustering approach to identify novel phenotypes using multiple biomarkers in acute ischaemic stroke: A retrospective, multicentre cohort study L Ding, R Mane, Z Wu, Y Jiang, X Meng, J Jing, W Ou, X Wang, Y Liu, ... EClinicalMedicine 53, 2022 | 12 | 2022 |
Predicting functional outcome in patients with acute brainstem infarction using deep neuroimaging features L Ding, Z Liu, R Mane, S Wang, J Jing, H Fu, Z Wu, H Li, Y Jiang, X Meng, ... European Journal of Neurology 29 (3), 744-752, 2022 | 7 | 2022 |
Association between cerebral blood flow changes and blood–brain barrier compromise in spontaneous intracerebral haemorrhage X Zhang, HC Zhu, D Yang, FC Zhang, R Mane, SJ Sun, XQ Zhao, J Zhou Clinical Radiology 77 (11), 833-839, 2022 | 4 | 2022 |
Brain-Computer Interface for Stroke Rehabilitation R Mane, KK Ang, C Guan Handbook of Neuroengineering, 1285-1315, 2023 | 3 | 2023 |
Temporal Evolution of Perihematomal Blood-Brain Barrier Compromise and Edema Growth After Intracerebral Hemorrhage D Yang, X Wang, X Zhang, H Zhu, S Sun, R Mane, X Zhao, J Zhou Clinical Neuroradiology 33 (3), 813-824, 2023 | 1 | 2023 |
Brain-Computer interface for stroke rehabilitation R Mane, KK Ang, C Guan Handbook of Neuroengineering, 1-31, 2020 | 1 | 2020 |
Brain computer interface for post-stroke motor rehabilitation RT Mane Nanyang Technological University, 2020 | | 2020 |
Powering Up Attentional Focus: Validating a School-Based Deep Breathing Intervention with Mobile EEG—A Pilot Exploration KH Khng, R Mane 2018 International Conference on Cyberworlds (CW), 243-249, 2018 | | 2018 |
Intracerebral Hemorrhage Hematoma Expansion Prediction with Deep Learning N Li, X Zhao, Q Zhang, R Mane, M Xia, A Wang, K Kang, Y Liu, Y Duan, ... | | |