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Edilberto Amorim

Showing results (51-60 of 68) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|September 11, 2023
The International Cardiac Arrest Research (I-CARE) Consortium Electroencephalography DatabaseEdilberto Amorim, Wei-Long Zheng, Mohammad M Ghassemi, et al.
Critical Care Medicine|October 19, 2023
The International Cardiac Arrest Research Consortium Electroencephalography DatabaseEdilberto Amorim, Wei-Long Zheng, Mohammad M Ghassemi, et al.
Epilepsia|April 22, 2026
A consensus roadmap for post-traumatic epilepsy: Clinical biomarkers, research priorities, policy barriers, and pathways to interventional trialsElisa R Zanier, Ilaria Lisi, Elaine K O'Loughlin, et al.
Resuscitation|February 12, 2022
Severe cerebral edema in substance-related cardiac arrest patientsAnnelise M Kulpanowski, William A Copen, Brandon L Hancock, et al.
Resuscitation|May 25, 2025
Automated detection of severe cerebral edema using explainable deep transfer learning after hypoxic ischemic brain injuryZihao Wang, Annelise M Kulpanowski, William A Copen, et al.
Neurology|July 6, 2023
Neurophysiology State Dynamics Underlying Acute Neurologic Recovery After Cardiac ArrestEdilberto Amorim, Wei-Long Zheng, Jin Jing, et al.
Brain Communications|April 29, 2026
Connectome disruptions after hypoxic-ischaemic injury associate with consciousness disorder severitySofia G Hilger, Eric S Rosenthal, Annelise M Kulpanowski, et al.
Resuscitation|October 26, 2021
Predicting neurological outcome in comatose patients after cardiac arrest with multiscale deep neural networksWei-Long Zheng, Edilberto Amorim, Jin Jing, et al.
Plos One|November 2, 2023
Correction: Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcomeAustin Chou, Abel Torres-Espin, Nikos Kyritsis, et al.
Plos One|April 7, 2022
Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcomeAustin Chou, Abel Torres-Espin, Nikos Kyritsis, et al.
Pageof 7

Showing results (51-60 of 68) with videos related to

Sort By:
Pageof 7
Medrxiv : the Preprint Server for Health Sciences|September 11, 2023
The International Cardiac Arrest Research (I-CARE) Consortium Electroencephalography DatabaseEdilberto Amorim, Wei-Long Zheng, Mohammad M Ghassemi, et al.
Critical Care Medicine|October 19, 2023
The International Cardiac Arrest Research Consortium Electroencephalography DatabaseEdilberto Amorim, Wei-Long Zheng, Mohammad M Ghassemi, et al.
Epilepsia|April 22, 2026
A consensus roadmap for post-traumatic epilepsy: Clinical biomarkers, research priorities, policy barriers, and pathways to interventional trialsElisa R Zanier, Ilaria Lisi, Elaine K O'Loughlin, et al.
Resuscitation|February 12, 2022
Severe cerebral edema in substance-related cardiac arrest patientsAnnelise M Kulpanowski, William A Copen, Brandon L Hancock, et al.
Resuscitation|May 25, 2025
Automated detection of severe cerebral edema using explainable deep transfer learning after hypoxic ischemic brain injuryZihao Wang, Annelise M Kulpanowski, William A Copen, et al.
Neurology|July 6, 2023
Neurophysiology State Dynamics Underlying Acute Neurologic Recovery After Cardiac ArrestEdilberto Amorim, Wei-Long Zheng, Jin Jing, et al.
Brain Communications|April 29, 2026
Connectome disruptions after hypoxic-ischaemic injury associate with consciousness disorder severitySofia G Hilger, Eric S Rosenthal, Annelise M Kulpanowski, et al.
Resuscitation|October 26, 2021
Predicting neurological outcome in comatose patients after cardiac arrest with multiscale deep neural networksWei-Long Zheng, Edilberto Amorim, Jin Jing, et al.
Plos One|November 2, 2023
Correction: Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcomeAustin Chou, Abel Torres-Espin, Nikos Kyritsis, et al.
Plos One|April 7, 2022
Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcomeAustin Chou, Abel Torres-Espin, Nikos Kyritsis, et al.
Pageof 7