| Examining the role of the temporo-parietal network in memory, imagery, and viewpoint transformations K Dhindsa, V Drobinin, J King, GB Hall, N Burgess, S Becker Frontiers in Human Neuroscience 8, 709, 2014 | 32 | 2014 |
| Performance of case-control rare copy number variation annotation in classification of autism W Engchuan, K Dhindsa, AC Lionel, SW Scherer, JH Chan, D Merico BMC medical genomics 8 (S1), S7, 2015 | 13 | 2015 |
| Filter-Bank Artifact Rejection: High performance real-time single-channel artifact detection for EEG K Dhindsa Biomedical Signal Processing and Control 38, 224-235, 2017 | 7 | 2017 |
| What’s holding up the big data revolution in healthcare? K Dhindsa, M Bhandari, RR Sonnadara Bmj 363, 2018 | 4 | 2018 |
| Progressive thresholding: shaping and specificity in automated neurofeedback training K Dhindsa, KD Gauder, KA Marszalek, B Terpou, S Becker IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (12 …, 2018 | 4 | 2018 |
| Grading Prenatal Hydronephrosis from Ultrasound Imaging using Deep Convolutional Neural Networks K Dhindsa, LC Smail, M McGrath, LH Braga, S Becker, RR Sonnadara !5th Conference on Computer and Robot Vision, 80-87, 2018 | 4 | 2018 |
| Toward an open-ended BCI: a user-centered coadaptive design K Dhindsa, D Carcone, S Becker Neural computation 29 (10), 2742-2768, 2017 | 4 | 2017 |
| Emotional reaction recognition from EEG K Dhindsa, S Becker 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2017 | 4 | 2017 |
| From group-level statistics to single-subject prediction: machine learning detection of concussion in retired athletes R Boshra, K Dhindsa, O Boursalie, KI Ruiter, R Sonnadara, R Samavi, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (7 …, 2019 | 3 | 2019 |
| A brain-computer interface based on abstract visual and auditory imagery: evidence for an effect of artistic training K Dhindsa, D Carcone, S Becker International Conference on Augmented Cognition, 313-332, 2017 | 3* | 2017 |
| Generalized Methods for User-Centered Brain-Computer Interfacing J Dhindsa | 3 | 2017 |
| An open-ended approach to BCI: Embracing individual differences by allowing for user-defined mental commands K Dhindsa, D Carcone, S Becker Frontiers in Computational Neuroscience 9, 2015 | 2 | 2015 |
| Using Deep Learning Algorithms to Grade Hydronephrosis Severity: Towards a Clinical Adjunct LC Smail, K Dhindsa, LH Braga, S Becker, RR Sonnadara Frontiers in Pediatrics 8, 1, 2020 | | 2020 |
| Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps U Sivanesan, LH Braga, RR Sonnadara, K Dhindsa arXiv preprint arXiv:1911.05140, 2019 | | 2019 |
| Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics SB Shaw, K Dhindsa, JP Reilly, S Becker Neural computation 31 (11), 2177-2211, 2019 | | 2019 |
| Individualized pattern recognition for detecting mind wandering from EEG during live lectures K Dhindsa, A Acai, N Wagner, D Bosynak, S Kelly, M Bhandari, B Petrisor, ... PloS one 14 (9), 2019 | | 2019 |
| Fractal dimensionality of BOLD signal as a measure of mild traumatic brain injury (mTBI). S Shaw, K Dhindsa, C Dematteo, JE Connolly, M Noseworthy EuropeanSociety for Magnetic Resonance in Medicine and Biology (ESMRMB) 32 …, 2015 | | 2015 |
Suzanna (Sue) BeckerProfessor of Psychology, Neuroscience and Behaviour, McMaster UniversityVerified email at mcmaster.ca
