| Decoding imagined and spoken phrases from non-invasive neural (MEG) signals D Dash, P Ferrari, J Wang Frontiers in neuroscience 14, 290, 2020 | 41 | 2020 |
| Overt speech retrieval from neuromagnetic signals using wavelets and artificial neural networks D Dash, P Ferrari, S Malik, J Wang 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 20 | 2018 |
| NeuroVAD: Real-time voice activity detection from non-invasive neuromagnetic signals D Dash, P Ferrari, S Dutta, J Wang Sensors 20 (8), 2248, 2020 | 13 | 2020 |
| Decoding speech from single trial MEG signals using convolutional neural networks and transfer learning D Dash, P Ferrari, D Heitzman, J Wang 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 13 | 2019 |
| Towards a Speaker Independent Speech-BCI Using Speaker Adaptation D Dash, A Wisler, P Ferrari, J Wang Proc. Interspeech 2019, 864-868, 2019 | 13 | 2019 |
| Spatial and Spectral Fingerprint in the Brain: Speaker Identification from Single Trial MEG Signals. D Dash, P Ferrari, J Wang INTERSPEECH, 1203-1207, 2019 | 12 | 2019 |
| Automatic speech activity recognition from MEG signals using seq2seq learning D Dash, P Ferrari, S Malik, J Wang 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 340-343, 2019 | 12 | 2019 |
| Determining the optimal number of MEG trials: A machine learning and speech decoding perspective D Dash, P Ferrari, S Malik, A Montillo, JA Maldjian, J Wang International Conference on Brain Informatics, 163-172, 2018 | 11 | 2018 |
| Automatic Speech Recognition with Articulatory Information and a Unified Dictionary for Hindi, Marathi, Bengali and Oriya. D Dash, MJ Kim, K Teplansky, J Wang INTERSPEECH, 1046-1050, 2018 | 11 | 2018 |
| MEG sensor selection for neural speech decoding D Dash, A Wisler, P Ferrari, EM Davenport, J Maldjian, J Wang IEEE Access 8, 182320-182337, 2020 | 10 | 2020 |
| The model order limit: Deep sparse factorization for resting brain D Dash, V Abrol, AK Sao, B Biswal Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on …, 2018 | 9 | 2018 |
| Study of the dynamics of wind data fluctuations: a wavelet and MFDFA based novel method S Mukhopadhyay, NK Das, R Kumar, D Dash, A Mitra, PK Panigrahi Elsevier Procedia Technology, 2014 | 7 | 2014 |
| Role of brainwaves in neural speech decoding D Dash, P Ferrari, J Wang 2020 28th European Signal Processing Conference (EUSIPCO), 1357-1361, 2021 | 6 | 2021 |
| Spatial sparsification and low rank projection for fast analysis of multi-subject resting state fMRI data D Dash, V Abrol, AK Sao, B Biswal 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 6 | 2018 |
| Neural Speech Decoding for Amyotrophic Lateral Sclerosis. D Dash, P Ferrari, AW Hernandez-Mulero, D Heitzman, SG Austin, ... INTERSPEECH, 2782-2786, 2020 | 5 | 2020 |
| Automatic Recognition of Resting State fMRI Networks with Dictionary Learning D Dash, B Biswal, AK Sao, J Wang International Conference on Brain Informatics 11309, 249-259, 2018 | 4 | 2018 |
| A comparative study between seasonal wind speed by Fourier and Wavelet analysis S Mukhopadhyay, D Dash, A Mitra, P Bhattacharya arXiv preprint arXiv:1407.8476, 2014 | 4 | 2014 |
| Decoding speech evoked jaw motion from non-invasive neuromagnetic oscillations D Dash, P Ferrari, J Wang 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 3 | 2020 |
| How many fMRI scans are necessary and sufficient for resting brain connectivity analysis? D Dash, AK Sao, J Wang, B Biswal 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 3 | 2018 |
| Advanced Signal Processing Techniqes to Study Normal and Epileptic EEG D Dash arXiv preprint arXiv:1401.5791, 2014 | 3 | 2014 |
Jun WangAssociate Professor at the University of Texas at AustinDirección de correo verificada de austin.utexas.edu
