Julien Oster

Orcid: 0000-0001-6090-0834

According to our database1, Julien Oster authored at least 40 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2023
A Generative Adversarial Network to Synthesize 3D Magnetohydrodynamic Distortions for Electrocardiogram Analyses Applied to Cardiac Magnetic Resonance Imaging.
Sensors, October, 2023

AI-Assisted QT Measurements for Highly Automated Drug Safety Studies.
IEEE Trans. Biomed. Eng., May, 2023

A Deep Learning Architecture Using 3D Vectorcardiogram to Detect R-Peaks in ECG with Enhanced Precision.
Sensors, February, 2023

Generalizable and robust deep learning algorithm for atrial fibrillation diagnosis across geography, ages and sexes.
npj Digit. Medicine, 2023

CineJENSE: Simultaneous Cine MRI Image Reconstruction and Sensitivity Map Estimation Using Neural Representations.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Body Surface Gastrointestinal Potential Mapping: A Simulation Framework to Evaluate Source Separation Algorithms.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Electrocardiography-Based Assessment of Cardiac Contractility.
Proceedings of the Computing in Cardiology, 2023

Hermite Based Parametric Representation of Magnetohydrodynamic Effect for the Generation of Synthetic ECG Signals During Magnetic Resonance Imaging.
Proceedings of the Computing in Cardiology, 2023

2022
Generalizable and Robust Deep Learning Algorithm for Atrial Fibrillation Diagnosis Across Ethnicities, Ages and Sexes.
CoRR, 2022

A QT Interval Inaccuracy Index (QTI) for Highly Automated TQT Studies.
Proceedings of the Computing in Cardiology, 2022

Automated Detection of Ventricular Heartbeats from Electrocardiogram (ECG) Acquired During Magnetic Resonance Imaging (MRI).
Proceedings of the Computing in Cardiology, 2022

Analysis of Electrocardiogram signals : from modelling to classification through signal processing. (Analyse des signaux Electrocardiogrammes : du modèle à l'apprentissage machine).
, 2022

2021
Remote Atrial Fibrillation Burden Estimation Using Deep Recurrent Neural Network.
IEEE Trans. Biomed. Eng., 2021

Cardiac Abnormality Detection Based on an Ensemble Voting of Single-Lead Classifier Predictions.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
A Paced-ECG Detector and Delineator for Automatic Multi-Parametric Catheter Mapping of Ventricular Tachycardia.
IEEE Access, 2020

2019
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.
Medical Image Anal., 2019

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.
CoRR, 2019

A Recurrent Neural Network for the Prediction of Vital Sign Evolution and Sepsis in ICU.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Uncalibrated Real-Time Stroke Volume Estimation in MRI Using the Magnetohydrodynamic Effect ?
Proceedings of the Computing in Cardiology, 2018

2017
MRI Whole Heart Segmentation Using Discrete Nonlinear Registration and Fast Non-local Fusion.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Rhythm and Quality Classification from Short ECGs Recorded using a Mobile Device.
Proceedings of the Computing in Cardiology, 2017

2016
Automated ECG Ventricular Beat Detection with Switching Kalman Filters.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters.
IEEE Trans. Biomed. Eng., 2015

2014
A scalable mHealth system for noncommunicable disease management.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2014

R- Peak Estimation using Multimodal Lead Switching.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

A Bayesian Filtering Framework for Accurate Extracting of the Non Invasive FECG Morphology.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

Optimized Modelling of Maternal ECG Beats using the Stationary Wavelet Transform.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

fecgsyngui: A GUI Interface to fecgsynfor the Simulation of Maternal-Foetal Activity Mixtures on Abdominal Electrocardiogram Recordings.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013
ECG Signal Quality During Arrhythmia and Its Application to False Alarm Reduction.
IEEE Trans. Biomed. Eng., 2013

Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013.
Proceedings of the Computing in Cardiology, 2013

An Artificial Model of the Electrocardiogram during Paroxysmal Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2013

Open Source Java-based ECG analysis Software and Android app for Atrial Fibrillation Screening.
Proceedings of the Computing in Cardiology, 2013

Non Invasive FECG Extraction from a Set of Abdominal Sensors.
Proceedings of the Computing in Cardiology, 2013

2012
The limited applicability of Wiener filtering to ECG signals disturbed by the MHD effect.
Proceedings of the 20th European Signal Processing Conference, 2012

2010
Nonlinear Bayesian Filtering for Denoising of Electrocardiograms Acquired in a Magnetic Resonance Environment.
IEEE Trans. Biomed. Eng., 2010

Bayesian framework for artifact reduction on ECG IN MRI.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
A specific QRS detector for electrocardiography during MRI: Using wavelets and local regularity characterization.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Adaptive RR prediction for cardiac MRI.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
FPGA Implemenatation of an Adaptive Filtering: Application on ECG Signal Artefact Suppression in MRI Environment.
Proceedings of the 3rd International Workshop on Reconfigurable Communication-centric Systems-on-Chip, 2007

ECG Signal Artifacts Suppression System Based on an MRI Environment Dedicated CMOS Magnetic Field Monitor and FPGA Implementation.
Proceedings of the 14th IEEE International Conference on Electronics, 2007


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