Philippe Jouvet

Full Professor

Université de Montréal

Canada

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About

Philippe Jouvet is a Full Professor at Montreal University, Canada. His research focuses on the application of machine learning and deep learning techniques in pediatric intensive care, including topics such as heart rate analysis, clinical text classification, and real-time monitoring systems. He has authored several recent articles that explore innovative approaches to enhance clinical decision-making and improve patient outcomes.

Articles (21)

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2020

Collaborators (2)

Michael Levy

FRANCE

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Philippe Doyon-Poulin

Assistant Professor

Polytechnique Montréal

CANADA

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Philippe Jouvet

Research Interests

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About

Articles (21)

Heart Rate and Body Temperature Relationship in Children Admitted to PICU: A Machine Learning Approach

Real-Time Current Volume Estimation System from an Azure Kinect Camera in Pediatric Intensive Care: Technical Development

Hybrid Deep Learning-Based Enhanced Occlusion Segmentation in PICU Patient Monitoring

Improving Transformer Performance for French Clinical Notes Classification Using Mixture of Experts on a Limited Dataset

The Impact of LoRA Adapters on LLMs for Clinical Text Classification Under Computational and Data Constraints

rPPG Estimation: Vision Transformer With 3-D Temporal Central Difference

Data Representation Structure to Support Clinical Decision-Making in the Pediatric Intensive Care Unit: Interview Study and Preliminary Decision Support Interface Design

Label Propagation Techniques for Artifact Detection in Imbalanced Classes Using Photoplethysmogram Signals

Machine and Deep Learning Models for Hypoxemia Severity Triage in CBRNE Emergencies

A Novel Transformer-Based Self-Supervised Learning Method to Enhance Photoplethysmogram Signal Artifact Detection

Automated Detection of Acute Respiratory Distress Using Temporal Visual Information

Impacts of in situ donor partial hepatectomy in pediatric liver transplantation

Multimodality Video Acquisition System for the Assessment of Vital Distress in Children

A Web-Based Platform for the Automatic Stratification of ARDS Severity

Multisystemic Inflammatory Syndrome in Children: a step towards a better understanding of this entity

Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning

Situation Awareness-Oriented Dashboard in ICUs in Support of Resource Management in Time of Pandemics

Detecting of a Patient's Condition From Clinical Narratives Using Natural Language Representation

Optical Thermography Infrastructure to Assess Thermal Distribution in Critically Ill Children

Arterial Partial Pressures of Carbon Dioxide Estimation Using Non-Invasive Parameters in Mechanically Ventilated Children

Advancements in Methods and Camera-Based Sensors for the Quantification of Respiration

Collaborators (2)

Michael Levy

Philippe Doyon-Poulin

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