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| Artificial neural network based epileptic detection using time-domain and frequency-domain features V Srinivasan, C Eswaran, N Sriraam Journal of Medical Systems 29, 647-660, 2005 | 539 | 2005 |
| Acute lung injury (ali)/acute respiratory distress syndrome (ards) assessment and monitoring S Vairavan, C Chiofolo, N Chbat, M Ghosh US Patent App. 14/379,376, 2015 | 82 | 2015 |
| Development and validation of electronic surveillance tool for acute kidney injury: a retrospective analysis A Ahmed, S Vairavan, A Akhoundi, G Wilson, C Chiofolo, N Chbat, ... Journal of critical care 30 (5), 988-993, 2015 | 73 | 2015 |
| Automated continuous acute kidney injury prediction and surveillance: a random forest model C Chiofolo, N Chbat, E Ghosh, L Eshelman, K Kashani Mayo Clinic Proceedings 94 (5), 783-792, 2019 | 66 | 2019 |
| Predictive modeling of treatment resistant depression using data from STAR* D and an independent clinical study Z Nie, S Vairavan, VA Narayan, J Ye, QS Li PloS one 13 (6), e0197268, 2018 | 56 | 2018 |
| Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study F Matcham, D Leightley, S Siddi, F Lamers, KM White, P Annas, ... BMC psychiatry 22 (1), 136, 2022 | 50 | 2022 |
| A novel approach to track fetal movement using multi-sensor magnetocardiographic recordings RB Govindan, S Vairavan, UD Ulusar, JD Wilson, SS McKelvey, H Preissl, ... Annals of biomedical engineering 39, 964-972, 2011 | 47 | 2011 |
| Prediction of Mortality in an Intensive Care Unit using Logistic Regression and a Hidden Markov Model S Vairavan, L Eshelman, S Haider, A Flower, A Seiver | 43 | 2012 |
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| Correlation between fetal brain activity patterns and behavioral states: an exploratory fetal magnetoencephalography study N Haddad, RB Govindan, S Vairavan, E Siegel, J Temple, H Preissl, ... Experimental neurology 228 (2), 200-205, 2011 | 32 | 2011 |
| Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder S Liu, J Han, EL Puyal, S Kontaxis, S Sun, P Locatelli, J Dineley, ... Pattern recognition 123, 108403, 2022 | 30 | 2022 |
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| Longitudinal relationships between depressive symptom severity and phone-measured mobility: dynamic structural equation modeling study Y Zhang, AA Folarin, S Sun, N Cummins, S Vairavan, R Bendayan, ... JMIR mental health 9 (3), e34898, 2022 | 24 | 2022 |
| Removal of interference from fetal MEG by frequency dependent subtraction J Vrba, J McCubbin, RB Govindan, S Vairavan, P Murphy, H Preissl, ... NeuroImage 59 (3), 2475-2484, 2012 | 23 | 2012 |
| The association between home stay and symptom severity in major depressive disorder: preliminary findings from a multicenter observational study using geolocation data from … P Laiou, DA Kaliukhovich, AA Folarin, Y Ranjan, Z Rashid, P Conde, ... JMIR mHealth and uHealth 10 (1), e28095, 2022 | 22 | 2022 |
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| Detection of discontinuous patterns in spontaneous brain activity of neonates and fetuses S Vairavan, H Eswaran, N Haddad, DF Rose, H Preissl, JD Wilson, ... IEEE transactions on biomedical engineering 56 (11), 2725-2729, 2009 | 19 | 2009 |
| Clinical knowledge-based inference model for early detection of acute lung injury NW Chbat, W Chu, M Ghosh, G Li, M Li, CM Chiofolo, S Vairavan, ... Annals of biomedical engineering 40, 1131-1141, 2012 | 17 | 2012 |
