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Jérôme Van Zaen
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2020 – today
- 2023
- [j2]Sanghoon Chin, Jérôme Van Zaen, Séverine Denis
, Enric Muntané, Stephan Schröder, Hans Martin, Laurent Balet, Steve Lecomte:
An Artificial Neural Network to Eliminate the Detrimental Spectral Shift on Mid-Infrared Gas Spectroscopy. Sensors 23(19): 8232 (2023) - [c19]Loïc Jeanningros, Jérôme Van Zaen, Clémentine Aguet, Mathieu Le Bloa, Alessandra Porretta, Cheryl Teres, Claudia Herrera, Giulia Domenichini, Patrizio Pascale, Adrian Luca, Jorge Solana Muñoz, Jean-Marc Vesin, Jean-Philippe Thiran, Etienne Pruvot, Mathieu Lemay, Fabian Braun:
Abnormal Cardiac Rhythm Detection Based on Photoplethysmography Signals and a Recurrent Neural Network. CinC 2023: 1-4 - [c18]Jérôme Van Zaen, Guillaume Bonnier, Jakub Parák, Mikko Salonen, Yara-Maria Proust, Luisa Marques, Alia Lemkaddem, Cyril Pellaton, Mathieu Lemay:
Abnormal Rhythm Detection from a Single-Lead ECG via a Recurrent Neural Network. CinC 2023: 1-4 - 2022
- [c17]Clémentine Aguet, Jérôme Van Zaen, Martin Proença
Generalization Capability of a Neural Network for Blood Pressure Estimation from Photoplethysmography. CinC 2022: 1-4 - [c16]Loïc Jeanningros, Fabian Braun, Jérôme Van Zaen, Mathieu Le Bloa, Alessandra Porretta, Cheryl Teres, Claudia Herrera, Giulia Domenichini, Patrice Carroz, Denis Graf, Patrizio Pascale, Jean-Marc Vesin, Jean-Philippe Thiran, Etienne Pruvot, Mathieu Lemay:
Pulse Wave Analysis of Photoplethysmography Signals to Enhance Classification of Cardiac Arrhythmias. CinC 2022: 1-4 - 2021
- [c15]Clémentine Aguet, Loïc Jeanningros, Fabian Braun, Jérôme Van Zaen, Mathieu Lemay
Interbeat Interval Detection from Synthetic Photoplethysmography Signals. CinC 2021: 1-4 - [c14]Pierre Louis Gaudilliere, Halla Sigurthorsdottir, Clémentine Aguet, Jérôme Van Zaen, Mathieu Lemay
Generative Pre-Trained Transformer for Cardiac Abnormality Detection. CinC 2021: 1-4 - [c13]Clémentine Aguet, Jérôme Van Zaen, João Jorge
Feature Learning for Blood Pressure Estimation from Photoplethysmography. EMBC 2021: 463-466 - [i5]Pierre Louis Gaudilliere, Halla Sigurthorsdottir, Clémentine Aguet, Jérôme Van Zaen, Mathieu Lemay, Ricard Delgado-Gonzalo:
Generative Pre-Trained Transformer for Cardiac Abnormality Detection. CoRR abs/2110.04071 (2021) - 2020
- [c12]Halla Sigurthorsdottir, Jérôme Van Zaen, Ricard Delgado-Gonzalo, Mathieu Lemay
ECG Classification With a Convolutional Recurrent Neural Network. CinC 2020: 1-4 - [c11]João Jorge
Machine Learning Approaches For Improved Continuous, Non-occlusive Arterial Pressure Monitoring Using Photoplethysmography. EMBC 2020: 910-913 - [c10]Elsa Genzoni, Fabian Braun, Jérôme Van Zaen, Philippe Renevey, Mathieu Lemay
Challenging the Limitations of Atrial Fibrillation Detection in the Presence of Other Cardiac Arrythmias. EMBC 2020: 5000-5003 - [i4]Halla Sigurthorsdottir, Jérôme Van Zaen, Ricard Delgado-Gonzalo, Mathieu Lemay:
ECG Classification with a Convolutional Recurrent Neural Network. CoRR abs/2009.13320 (2020) - [i3]Jérôme Van Zaen, Ricard Delgado-Gonzalo, Damien Ferrario, Mathieu Lemay:
Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks. CoRR abs/2010.03204 (2020)
2010 – 2019
- 2019
- [c9]Jérôme Van Zaen, Olivier Chételat
Classification of Cardiac Arrhythmias from Single Lead ECG with a Convolutional Recurrent Neural Network. BIOSIGNALS 2019: 33-41 - [c8]Jérôme Van Zaen, Ricard Delgado-Gonzalo, Damien Ferrario, Mathieu Lemay
Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks. BIOSTEC (Selected Papers) 2019: 311-327 - [c7]Clémentine Aguet, Jérôme Van Zaen, Mathieu Lemay
Sepsis Detection Using Missingness Information. CinC 2019: 1-4 - [c6]Jérôme Van Zaen, Elsa Genzoni, Fabian Braun, Philippe Renevey, Etienne Pruvot, Jean-Marc Vesin, Mathieu Lemay
Atrial Fibrillation Detection from PPG Interbeat Intervals via a Recurrent Neural Network. CinC 2019: 1-4 - [c5]Engin Türetken, Jérôme Van Zaen, Ricard Delgado-Gonzalo
Embedded Deep Learning for Sleep Staging. SDS 2019: 95-96 - [i2]Engin Türetken, Jérôme Van Zaen, Ricard Delgado-Gonzalo:
Embedded Deep Learning for Sleep Staging. CoRR abs/1906.09905 (2019) - [i1]Jérôme Van Zaen, Olivier Chételat, Mathieu Lemay, Enric M. Calvo, Ricard Delgado-Gonzalo:
Classification of Cardiac Arrhythmias from Single Lead ECG with a Convolutional Recurrent Neural Network. CoRR abs/1907.01513 (2019) - 2014
- [c4]Jérôme Van Zaen, Jody Hausmann, Kevin Salvi, Michel Deriaz:
Gesture recognition for interest detection in mobile applications. ICMCS 2014: 345-350 - [c3]Jody Hausmann, Kevin Salvi, Jérôme Van Zaen, Adrian Hindle, Michel Deriaz:
User behaviour recognition for interacting with an artistic mobile application. ICMCS 2014: 351-356 - 2013
- [j1]Andréa Buttu, Etienne Pruvot, Jérôme Van Zaen, Alain Viso, Andrei Forclaz, Patrizio Pascale
Adaptive frequency tracking of the baseline ECG identifies the site of atrial fibrillation termination by catheter ablation. Biomed. Signal Process. Control. 8(6): 969-980 (2013)
2000 – 2009
- 2009
- [c2]Meryem Jabloun, Jérôme Van Zaen, Jean-Marc Vesin:
Time-frequency analysis based on the phase-rectified signal averaging method. EUSIPCO 2009: 2303-2307 - 2008
- [c1]Yann Prudat, Jérôme Van Zaen, Jean-Marc Vesin:
Harmonic extension of an adaptive notch filter for frequency tracking. EUSIPCO 2008: 1-5
Coauthor Index
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