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R. Gao, Lee, P. , Ravi, A. , Ren, C. , Dickerson, C. R. , and Tung, J. , “Hybrid Soft-Rigid Active Prosthetics Laboratory Exercise for Hands-On Biomechanical and Biomedical Engineering Education”, Journal of Biomechanical Engineering, 2024.
Y. Gao, Ravi, A. , and Jiang, N. , “Effect of Competing Stimuli for Steady-state Visually Evoked Potential and Steady-state Motion Visually Evoked Potential”, IEEE Access, 2021.
Y. Gao, Ravi, A. , and Jiang, N. , “Does Inter-Stimulus Distance Influence the Decoding Performance of SSVEP and SSMVEP BCI?”, in 2021 IEEE EMBS Neural Engineering (NER) Conference, 2021.
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M. Abou Jaoude, Ravi, A. , Niu, J. , Banville, H. , Torres, N. Florez, and Aimone, C. , “Automated Sleep Staging on Wearable EEG Enables Sleep Analysis at Scale”, in 11th International IEEE/EMBS Conference on Neural Engineering, NER, 2023.
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A. Ravi, Tung, J. , and Jiang, N. , “Combined Action Observation, Motor Imagery and SSMVEP BCI Enhances Movement Related Cortical Potential”, in 11th International IEEE/EMBS Conference on Neural Engineering, NER, 2023.
A. Ravi, “Classification of Microscopy Images of Breast Tissue: Region Duplication based Self-Supervision vs. Off-the Shelf Deep Representations”, in arXiv, 2022.
A. Ravi, Lu, J. , Pearce, S. , and Jiang, N. , “Enhanced System Robustness of Asynchronous BCI in Augmented Reality using Steady-state Motion Visual Evoked Potential”, IEEE Transactions in Neural Systems and Rehabilitation Engineering, 2022.
A. Ravi, Lu, J. , Pearce, S. , and Jiang, N. , “Asynchronous SSMVEP BCI and Influence of Dynamic Background in Augmented Reality”, in The 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP 2021), 2021.
A. Ravi, Beni, N. Heydari, Manuel, J. , and Jiang, N. , “Comparing user-dependent and user-independent training of CNN for SSVEP BCI”, Journal of Neural Engineering, 2020.
A. Ravi, “Enhancing the Decoding Performance of Steady-State Visual Evoked Potentials based Brain-Computer Interface”, 2019.
A. Ravi, Heydari, N. , and Jiang, N. , “User-Independent SSVEP BCI Using Complex FFT Features and CNN Classification”, in IEEE Systems, Man and Cybernetics Conference 2019, 2019.
A. Ravi, Manuel, J. , Heydari, N. , and Jiang, N. , “A Convolutional Neural Network for Enhancing the Detection of SSVEP in the Presence of Competing Stimuli”, in IEEE Engineering in Medicine and Biology Conference 2019, 2019.
A. Ravi, Pearce, S. , Zhang, X. , and Jiang, N. , “User-Specific Channel Selection Method to Improve SSVEP BCI Decoding Robustness Against Variable Inter-Stimulus Distance”, in 2019 IEEE EMBS Neural Engineering (NER) Conference, 2019.
A. Ravi, Venugopal, H. , Paul, S. , and Tizhoosh, H. R. , “A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features”, in 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2018.
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R. V. Sastry et al., “Calibration-free SSVEP-based BCI Switch”, in INDICON 2019, 2020.
R. V. Sastry, Ravi, A. , Panwar, G. , Indrapriyadarsini, S. , and Ramakrishnan, A. G. , “Automatic User Customized Brain Switch”, in 2016 IEEE Annual India Conference (INDICON), INDICON 2016, 2016.
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X. Zhang, Xu, G. , Ravi, A. , Pearce, S. , and Jiang, N. , “Can a Highly Accurate Multi-class SSMVEP BCI Induce Sensory-motor Rhythm in Sensorimotor Area?”, Journal of Neural Engineering, 2020.
X. Zhang, Xu, G. , Ravi, A. , Pearce, S. , and Jiang, N. , “A Hybrid BCI Approach to Detect Brain Switch in Action Observation by Utilizing Convolution Neural Network”, in IEEE Systems, Man and Cybernetics Conference 2019, 2019.
X. Zhang, Xu, G. , Ravi, A. , Yan, W. , and Jiang, N. , “Fusing Frontal and Occipital EEG Features to Detect "Brain Switch" by Utilizing Convolutional Neural Network”, IEEE Access, 2019.
X. Zhang et al., “A Convolution Neural Network for the Detection of Asynchronous Steady State Motion Visual Evoked Potential”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019.