MOLLURA, MAXIMILIANO

MOLLURA, MAXIMILIANO  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Risultati 1 - 19 di 19 (tempo di esecuzione: 0.035 secondi).
Titolo Data di pubblicazione Autori File
A novel artificial intelligence based intensive care unit monitoring system: using physiological waveforms to identify sepsis 1-gen-2021 Maximiliano MolluraRiccardo Barbieri +
A Reinforcement Learning Application for Optimal Fluid and Vasopressor Interventions in Septic ICU Patients 1-gen-2022 Mollura, MaximilianoDrudi, CristianBarbieri, Riccardo +
Adverse Events to Comirnaty Vaccine Are Linked to Sex, Age and BMI: Should We Consider Reducing the Dose for Females? 1-gen-2023 Maximiliano MolluraRiccardo Barbieri +
An AI-based cardiovascular monitoring tool for sepsis identification in ICU 1-gen-2021 Maximiliano MolluraRiccardo Barbieri +
Analysis of immunization time, amplitude, and adverse events of seven different vaccines against SARS-CoV-2 across four different countries 1-gen-2022 Levi R.Mollura M.Barbieri R. +
Analysis of the Effect of Emotion Elicitation on the Cardiovascular System 1-gen-2021 Polo E. M.Mollura M.Zanet M.Paglialonga A.Barbieri R. +
Analysis of the skin conductance and pupil signals for evaluation of emotional elicitation by images and sounds 1-gen-2022 Polo, Edoardo MariaFarabbi, AndreaMollura, MaximilianoBarbieri, RiccardoMainardi, Luca +
Antibody Titer Correlates with Omicron Infection in Vaccinated Healthcare Workers 1-gen-2022 Mollura M.Levi R.Barbieri R. +
Artificial intelligence-based radiomics on computed tomography of lumbar spine in subjects with fragility vertebral fractures 1-gen-2022 Levi R.Angelotti G.Mollura M.Barbieri R. +
Assessing an Automatic Procedure of Extraction of Physiological Parameters from Skin using Video Photoplethysmography 1-gen-2020 Barbieri R.Levi R.Mollura M.Marsella I.Cerina L.Mainardi L. +
Assessment of Heart Rate Variability Derived from Blood Pressure Pulse Recordings in Intensive Care Unit Patients 1-gen-2020 Mollura M.Polo E. M.Barbieri R. +
Assessment of Sepsis in the ICU by Linear and Complex Characterization of Cardiovascular Dynamics 1-gen-2021 Maximiliano MolluraRiccardo Barbieri +
Biomimetic adaptive impedance control in physical Human Robot Interaction 1-gen-2018 Jacopo BuzziPASSONI, ANDREAMaximiliano MolluraElena De Momi +
Characterization of Physiologic Patients' Response to Fluid Interventions in the Intensive Care Unit 1-gen-2022 Mollura M.Salerni C.Barbieri R. +
Emotion recognition from multimodal physiological measurements based on an interpretable feature selection method 1-gen-2021 Polo E. M.Mollura M.Lenatti M.Zanet M.Paglialonga A.Barbieri R.
Evaluation of Machine Learning Algorithms and Explainability Techniques to Detect Hearing Loss From a Speech-in-Noise Screening Test 1-gen-2022 Lenatti, MartaPolo, Edoardo MMollura, MaximilianoBarbieri, RiccardoPaglialonga, Alessia +
Optimal Fluid and Vasopressor Interventions in Septic ICU Patients Through Reinforcement Learning Model 1-gen-2022 Mollura MaximilianoDrudi CristianBarbieri Riccardo +
Prediction of Septic Shock Onset in ICU by Instantaneous Monitoring of Vital Signs 1-gen-2020 Mollura M.Barbieri R. +
The role of waveform monitoring in Sepsis identification within the first hour of Intensive Care Unit stay 1-gen-2020 Mollura M.Barbieri R. +