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Ravikiran Mane
Ravikiran Mane
Adresse e-mail validée de e.ntu.edu.sg
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Année
BCI for stroke rehabilitation: motor and beyond
R Mane, T Chouhan, C Guan
Journal of neural engineering 17 (4), 041001, 2020
2402020
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
1252020
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
852021
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
732019
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
592020
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
422021
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
222018
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
192020
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
192020
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
162022
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
102022
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
52022
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
32022
Brain-Computer interface for stroke rehabilitation
R Mane, KK Ang, C Guan
Handbook of Neuroengineering, 1285-1315, 2023
22023
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
12023
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, ...
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