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Maximiliano Mollura

Showing results (1-10 of 27) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Statistical shape modeling-based algorithm for replacing missing beats in blood pressure signalsMargherita Garagnani, Maximiliano Mollura, Riccardo Barbieri
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Assessment of Sepsis in the ICU by Linear and Complex Characterization of Cardiovascular DynamicsMaximiliano Mollura, Li-Wei Lehman, Riccardo Barbieri
PLOS Digital Health|March 15, 2024
Identifying prognostic factors for survival in intensive care unit patients with SIRS or sepsis by machine learning analysis on electronic health recordsMaximiliano Mollura, Davide Chicco, Alessia Paglialonga, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Characterization of Physiologic Patients' Response to Fluid Interventions in the Intensive Care UnitMaximiliano Mollura, Claudia Salerni, Li-Wei Lehman, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A Reinforcement Learning Application for Optimal Fluid and Vasopressor Interventions in Septic ICU PatientsMaximiliano Mollura, Cristian Drudi, Li-Wei Lehman, et al.
IEEE Open Journal of Engineering in Medicine and Biology|November 19, 2024
A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory FeaturesCristian Drudi, Maximiliano Mollura, Li-Wei H Lehman, et al.
Journal of Neuroscience Methods|January 2, 2025
An adaptive protocol to assess physiological responses as a function of task demand in speech-in-noise testingEdoardo Maria Polo, Davide Simeone, Maximiliano Mollura, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Prediction of Septic Shock Onset in ICU by Instantaneous Monitoring of Vital Signs<sup>.</sup>Maximiliano Mollura, Stefano Romano, Giulio Mantoan, et al.
Frontiers in Human Neuroscience|January 23, 2024
Understanding the role of emotion in decision making process: using machine learning to analyze physiological responses to visual, auditory, and combined stimulationEdoardo Maria Polo, Andrea Farabbi, Maximiliano Mollura, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Brain-Heart Dynamics: Virtual Reality Explores Theta Band's Role in Emotion ProcessingEdoardo Maria Polo, Andrea Farabbi, Maximiliano Mollura, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Statistical shape modeling-based algorithm for replacing missing beats in blood pressure signalsMargherita Garagnani, Maximiliano Mollura, Riccardo Barbieri
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Assessment of Sepsis in the ICU by Linear and Complex Characterization of Cardiovascular DynamicsMaximiliano Mollura, Li-Wei Lehman, Riccardo Barbieri
PLOS Digital Health|March 15, 2024
Identifying prognostic factors for survival in intensive care unit patients with SIRS or sepsis by machine learning analysis on electronic health recordsMaximiliano Mollura, Davide Chicco, Alessia Paglialonga, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Characterization of Physiologic Patients' Response to Fluid Interventions in the Intensive Care UnitMaximiliano Mollura, Claudia Salerni, Li-Wei Lehman, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A Reinforcement Learning Application for Optimal Fluid and Vasopressor Interventions in Septic ICU PatientsMaximiliano Mollura, Cristian Drudi, Li-Wei Lehman, et al.
IEEE Open Journal of Engineering in Medicine and Biology|November 19, 2024
A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory FeaturesCristian Drudi, Maximiliano Mollura, Li-Wei H Lehman, et al.
Journal of Neuroscience Methods|January 2, 2025
An adaptive protocol to assess physiological responses as a function of task demand in speech-in-noise testingEdoardo Maria Polo, Davide Simeone, Maximiliano Mollura, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Prediction of Septic Shock Onset in ICU by Instantaneous Monitoring of Vital Signs<sup>.</sup>Maximiliano Mollura, Stefano Romano, Giulio Mantoan, et al.
Frontiers in Human Neuroscience|January 23, 2024
Understanding the role of emotion in decision making process: using machine learning to analyze physiological responses to visual, auditory, and combined stimulationEdoardo Maria Polo, Andrea Farabbi, Maximiliano Mollura, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Brain-Heart Dynamics: Virtual Reality Explores Theta Band's Role in Emotion ProcessingEdoardo Maria Polo, Andrea Farabbi, Maximiliano Mollura, et al.
Pageof 3