Julien Oster
Orcid: 0000-0001-6090-0834
According to our database1,
Julien Oster
authored at least 44 papers
between 2007 and 2024.
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Bibliography
2024
A Generalisable Heartbeat Classifier Leveraging Self-Supervised Learning for ECG Analysis During Magnetic Resonance Imaging.
IEEE J. Biomed. Health Informatics, September, 2024
A Human-Centered AI Framework for Efficient Labelling of ECGs From Drug Safety Trials.
IEEE Trans. Biomed. Eng., May, 2024
AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning.
Sensors, April, 2024
2023
A Generative Adversarial Network to Synthesize 3D Magnetohydrodynamic Distortions for Electrocardiogram Analyses Applied to Cardiac Magnetic Resonance Imaging.
Sensors, October, 2023
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
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
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
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
Proceedings of the Computing in Cardiology, 2017
2016
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
Proceedings of the IEEE Global Humanitarian Technology Conference, 2014
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
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
IEEE Trans. Biomed. Eng., 2013
Proceedings of the Computing in Cardiology, 2013
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
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
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
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