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Megjhani, Murad
65  Ergebnisse:
Personensuche X
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1

Suboptimal Cerebral Perfusion is Associated with Ischemia A..:

Ridha, Mohamed ; Megjhani, Murad ; Nametz, Daniel...
Neurocritical Care.  40 (2023)  3 - p. 996-1005 , 2023
Link: https://doi.org/10.1007/..
 
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2

Mathematical model of SARS-CoV-2 immunity predicts Paxlovid..:

Ranard, Benjamin L. ; Vodovotz, Yoram ; Asgari, Shadnaz...
Journal of Critical Care.  74 (2023)  - p. 154210 , 2023
Link: https://doi.org/10.1016/..
 
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3

Heart rate and heart rate variability as a prognosticating ..:

Kwon, Soon Bin ; Megjhani, Murad ; Nametz, Daniel..
Resuscitation Plus.  15 (2023)  - p. 100450 , 2023
Link: https://doi.org/10.1016/..
 
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4

A Deep Learning Framework for Deriving Noninvasive Intracra..:

Megjhani, Murad ; Terilli, Kalijah ; Weinerman, Bennett...
Annals of Neurology.  94 (2023)  1 - p. 196-202 , 2023
Link: https://doi.org/10.1002/..
 
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5

A generalizable physiological model for detection of Delaye..:

, In: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),
Elhussein, Ahmed ; Megjhani, Murad ; Nametz, Daniel... - p. 1886-1889 , 2023
Link: https://doi.org/10.1109/..
 
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6

The oxygen reactivity index indicates disturbed local perfu..:

Kastenholz, Nick ; Megjhani, Murad ; Conzen-Dilger, Catharina...
Critical Care.  27 (2023)  1 - p. , 2023
Link: https://doi.org/10.1186/..
 
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7

A mathematical model of SARS‐CoV‐2 immunity predicts paxlov..:

Ranard, Benjamin L. ; Chow, Carson C. ; Megjhani, Murad...
Journal of Medical Virology.  95 (2023)  6 - p. , 2023
Link: https://doi.org/10.1002/..
 
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8

Heart rate variability and adrenal size provide clues to su..:

Ranard, Benjamin L. ; Megjhani, Murad ; Terilli, Kalijah...
Journal of Critical Care.  71 (2022)  - p. 154114 , 2022
Link: https://doi.org/10.1016/..
 
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9

Predicting Shunt Dependency from the Effect of Cerebrospina..:

Rubinos, Clio ; Kwon, Soon Bin ; Megjhani, Murad...
Neurocritical Care.  37 (2022)  3 - p. 670-677 , 2022
Link: https://doi.org/10.1007/..
 
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10

Vector Angle Analysis of Multimodal Neuromonitoring Data fo..:

Megjhani, Murad ; Weiss, Miriam ; Kwon, Soon Bin...
Neurocritical Care.  37 (2022)  S2 - p. 230-236 , 2022
Link: https://doi.org/10.1007/..
 
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11

Classification of Level of Consciousness in a Neurological ..:

Gomez, Louis A. ; Shen, Qi ; Doyle, Kevin...
Neurocritical Care.  38 (2022)  1 - p. 118-128 , 2022
Link: https://doi.org/10.1007/..
 
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12

Machine Learning Model Deployment Using Real-Time Physiolog..:

, In: 2022 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT),
Cao, Hanqing ; Finer, Joshua ; Megjhani, Murad... - p. 42-45 , 2022
Link: https://doi.org/10.1109/..
 
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13

Machine Learning to Predict Delayed Cerebral Ischemia and O..:

Savarraj, Jude P.J. ; Hergenroeder, Georgene W. ; Zhu, Liang...
Neurology.  96 (2021)  4 - p. , 2021
Link: https://doi.org/10.1212/..
 
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14

Dynamic Intracranial Pressure Waveform Morphology Predicts ..:

Megjhani, Murad ; Terilli, Kalijah ; Kalasapudi, Lakshman...
Neurocritical Care.  36 (2021)  2 - p. 404-411 , 2021
Link: https://doi.org/10.1007/..
 
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15

Use of Clustering to Investigate Changes in Intracranial Pr..:

, In: Acta Neurochirurgica Supplement; Intracranial Pressure and Neuromonitoring XVII,
Megjhani, Murad ; Terilli, Kalijah ; Kaplan, Aaron... - p. 59-62 , 2021
Link: https://doi.org/10.1007/..
 
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