| Spontaneous eyelid closures link vigilance fluctuation with fMRI dynamic connectivity states C Wang, JL Ong, A Patanaik, J Zhou, MWL Chee Proceedings of the National Academy of Sciences 113 (34), 9653-9658, 2016 | 190 | 2016 |
| An end-to-end framework for real-time automatic sleep stage classification A Patanaik, JL Ong, JJ Gooley, S Ancoli-Israel, MWL Chee Sleep 41 (5), zsy041, 2018 | 167 | 2018 |
| Auditory stimulation of sleep slow oscillations modulates subsequent memory encoding through altered hippocampal function JL Ong, A Patanaik, NIYN Chee, XK Lee, JH Poh, MWL Chee Sleep 41 (5), zsy031, 2018 | 90 | 2018 |
| Dynamic functional connectivity markers of objective trait mindfulness J Lim, J Teng, A Patanaik, J Tandi, SAA Massar Neuroimage 176, 193-202, 2018 | 74 | 2018 |
| Large-scale data from wearables reveal regional disparities in sleep patterns that persist across age and sex JL Ong, J Tandi, A Patanaik, JC Lo, MWL Chee Scientific reports 9 (1), 3415, 2019 | 65 | 2019 |
| Dynamic functional connectivity and its behavioral correlates beyond vigilance A Patanaik, J Tandi, JL Ong, C Wang, J Zhou, MWL Chee Neuroimage 177, 1-10, 2018 | 49 | 2018 |
| Robust detection of microaneurysms for sight threatening retinopathy screening A Bhalerao, A Patanaik, S Anand, P Saravanan 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing …, 2008 | 46 | 2008 |
| Classifying vulnerability to sleep deprivation using baseline measures of psychomotor vigilance A Patanaik, CK Kwoh, ECP Chua, JJ Gooley, MWL Chee Sleep 38 (5), 723-734, 2015 | 41 | 2015 |
| Predicting vulnerability to sleep deprivation using diffusion model parameters A Patanaik, V Zagorodnov, CK Kwoh, MWL Chee Journal of sleep research 23 (5), 576-584, 2014 | 34 | 2014 |
| Vigilance declines following sleep deprivation are associated with two previously identified dynamic connectivity states J Teng, JL Ong, A Patanaik, J Tandi, JH Zhou, MWL Chee, J Lim Neuroimage 200, 382-390, 2019 | 26 | 2019 |
| An automated heart rate-based algorithm for sleep stage classification: Validation using conventional polysomnography and an innovative wearable electrocardiogram device N Pini, JL Ong, G Yilmaz, NIYN Chee, Z Siting, A Awasthi, S Biju, ... Frontiers in Neuroscience 16, 974192, 2022 | 16 | 2022 |
| Benchmarking performance of an automatic polysomnography scoring system in a population with suspected sleep disorders BP Choo, Y Mok, HC Oh, A Patanaik, K Kishan, A Awasthi, S Biju, ... Frontiers in Neurology 14, 1123935, 2023 | 14 | 2023 |
| Trait‐like characteristics of sleep EEG power spectra in adolescents across sleep opportunity manipulations JL Ong, JC Lo, A Patanaik, MWL Chee Journal of Sleep Research 28 (5), e12824, 2019 | 13 | 2019 |
| Systems and methods for operating a solar direct pump A Patanaik, G Posannapeta, G Gariki, P Shroff US Patent App. 13/581,911, 2012 | 12 | 2012 |
| Fuzzy Logic Control of Air Conditioners A Patanaik Indian Institue of Technology Kharagpur, 2008 | 9 | 2008 |
| Parameter estimation and simulation for one-choice Ratcliff diffusion model A Patanaik, V Zagorodnov, CK Kwoh Proceedings of the 29th Annual ACM Symposium on Applied Computing, 3-7, 2014 | 6 | 2014 |
| Open Domain Factoid Question Answering System A Patanaik Thesis, Indian Institute of Technology—Kharagpur, Department of Electrical …, 2009 | 6 | 2009 |
| Vulnerability to sleep deprivation: a drift diffusion model perspective A Patanaik | 4 | 2015 |
| An automated heart rate-based algorithm for sleep stage classification: validation using conventional PSG and innovative wearable ECG device N Pini, JL Ong, G Yilmaz, NIYN Chee, Z Siting, A Awasthi, S Biju, ... medRxiv, 2021.12. 21.21268117, 2021 | 2 | 2021 |
| Cognitive vulnerability to sleep deprivation is robustly associated with two dynamic connectivity states J Teng, JL Ong, A Patanaik, J Tandi, MWL Chee, J Lim bioRxiv, 509745, 2019 | 1 | 2019 |
Michael CheeCentre for Sleep and Cognition, National University of SingaporeVerified email at nus.edu.sg
