Philippe Jouvet
Orcid: 0000-0001-5684-3398
According to our database1,
Philippe Jouvet
authored at least 18 papers
between 2014 and 2023.
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Bibliography
2023
Multimodality Video Acquisition System for the Assessment of Vital Distress in Children.
Sensors, 2023
Label Propagation Techniques for Artifact Detection in Imbalanced Classes using Photoplethysmogram Signals.
CoRR, 2023
A Small-Scale Switch Transformer and NLP-based Model for Clinical Narratives Classification.
CoRR, 2023
2022
Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning.
CoRR, 2022
2021
Arterial Partial Pressures of Carbon Dioxide Estimation Using Non-Invasive Parameters in Mechanically Ventilated Children.
IEEE Trans. Biomed. Eng., 2021
Automatic eye localization for hospitalized infants and children using convolutional neural networks.
Int. J. Medical Informatics, 2021
Detecting of a Patient's Condition From Clinical Narratives Using Natural Language Representation.
CoRR, 2021
Machine Learning Based on Natural Language Processing to Detect Cardiac Failure in Clinical Narratives.
CoRR, 2021
Implementation of a Computerized Provider Order Entry System in a Pediatric Hospital in Canada.
Proceedings of the Public Health and Informatics, 2021
2020
Quantitative Assessment of Spontaneous Breathing in Children: Evaluation of a Depth Camera System.
IEEE Trans. Instrum. Meas., 2020
Advancements in Methods and Camera-Based Sensors for the Quantification of Respiration.
Sensors, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
The implementation of a synchronous telemedicine platform linking off-site pediatric intensivists and on-site fellows in a pediatric intensive care unit: A feasibility study.
Int. J. Medical Informatics, 2019
Visualizing and Quantifying Thoraco-Abdominal Asynchrony in Children From Motion Point Clouds: A Pilot Study.
IEEE Access, 2019
IEEE Access, 2019
2018
3D imaging system for respiratory monitoring in pediatric intensive care environment.
Comput. Medical Imaging Graph., 2018
2017
A computer vision method for respiratory monitoring in intensive care environment using RGB-D cameras.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017
2014
Computer-aided diagnosis system for the Acute Respiratory Distress Syndrome from chest radiographs.
Comput. Biol. Medicine, 2014