Raimond L. Winslow, Ph.D.
Affiliations: | Biomedical Engineering | Johns Hopkins University, Baltimore, MD |
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"Raimond Winslow"Cross-listing: Neurotree
Children
Sign in to add trainee| Jason H. Yang | research assistant | 2003-2006 | Johns Hopkins |
| Aagam Shah | research assistant | 2012-2014 | Johns Hopkins |
| Peter N. Steinmetz | grad student | 1991-1997 | Johns Hopkins (Neurotree) |
| Lisa A. Irvine | grad student | 2000 | Johns Hopkins |
| Joseph L. Greenstein | grad student | 2002 | Johns Hopkins |
| David F. Scollan | grad student | 2002 | Johns Hopkins |
| Charles L. Zimliki | grad student | 2002 | Johns Hopkins |
| Patrick A. Helm | grad student | 2005 | Johns Hopkins |
| Christina K. Yung | grad student | 2007 | Johns Hopkins |
| Tabish Almas | grad student | 2008 | Johns Hopkins |
| Yasmin L. Hashambhoy | grad student | 2010 | Johns Hopkins |
| Troy Anderson | grad student | 2011 | Johns Hopkins |
| Laura Doyle Gauthier | grad student | 2014 | Johns Hopkins |
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Publications
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| Ullah A, Hoang-Trong MT, Lederer WJ, et al. (2022) Critical Requirements for the Initiation of a Cardiac Arrhythmia in Rat Ventricle: How Many Myocytes? Cells. 11 |
| Kim HB, Nguyen HT, Jin Q, et al. (2021) Computational Signatures for Post-Cardiac Arrest Trajectory Prediction: Importance of Early Physiological Time Series. Anaesthesia, Critical Care & Pain Medicine. 101015 |
| Annapragada AV, Greenstein JL, Bose SN, et al. (2021) SWIFT: A deep learning approach to prediction of hypoxemic events in critically-Ill patients using SpO2 waveform prediction. Plos Computational Biology. 17: e1009712 |
| Krachman JA, Patricoski JA, Le CT, et al. (2021) Predicting Flow Rate Escalation for Pediatric Patients on High Flow Nasal Cannula Using Machine Learning. Frontiers in Pediatrics. 9: 734753 |
| Jin Q, Greenstein JL, Winslow RL. (2021) Estimating ectopic beat probability with simplified statistical models that account for experimental uncertainty. Plos Computational Biology. 17: e1009536 |
| Bose SN, Greenstein JL, Fackler JC, et al. (2021) Early Prediction of Multiple Organ Dysfunction in the Pediatric Intensive Care Unit. Frontiers in Pediatrics. 9: 711104 |
| Liu R, Greenstein JL, Fackler JC, et al. (2021) Prediction of Impending Septic Shock in Children With Sepsis. Critical Care Explorations. 3: e0442 |
| Annapragada AV, Greenstein JL, Bose SN, et al. (2021) SWIFT: A Deep Learning Approach to Prediction of Hypoxemic Events in Critically-Ill Patients Using SpO Waveform Prediction. Medrxiv : the Preprint Server For Health Sciences |
| Liu R, Greenstein JL, Fackler JC, et al. (2020) Spectral clustering of risk score trajectories stratifies sepsis patients by clinical outcome and interventions received. Elife. 9 |
| Jin Q, Greenstein JL, Winslow RL. (2020) Simplified Models Predict Cellular Arrhythmia Probabilities and Reveal the Impact of Experimental Parameter Uncertainty on the Predicted Distribution of Arrhythmic Events Biophysical Journal. 118: 409a |