Joachim Behar

Orcid: 0000-0001-5956-7034

According to our database1, Joachim Behar authored at least 57 papers between 2011 and 2025.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Machine learning for ranking f-wave extraction methods in single-lead ECGs.
Biomed. Signal Process. Control., 2025

2024
RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection From the Raw ECG.
IEEE J. Biomed. Health Informatics, September, 2024

A Review on Atrial Fibrillation Detection From Ambulatory ECG.
IEEE Trans. Biomed. Eng., March, 2024

SHDB-AF: a Japanese Holter ECG database of atrial fibrillation.
CoRR, 2024

SleepPPG-Net2: Deep learning generalization for sleep staging from photoplethysmography.
CoRR, 2024

RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG.
CoRR, 2024

2023
FundusQ-Net: A regression quality assessment deep learning algorithm for fundus images quality grading.
Comput. Methods Programs Biomed., September, 2023

On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG.
IEEE Trans. Biomed. Eng., July, 2023

SleepPPG-Net: A Deep Learning Algorithm for Robust Sleep Staging From Continuous Photoplethysmography.
IEEE J. Biomed. Health Informatics, February, 2023

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

DRStageNet: Deep Learning for Diabetic Retinopathy Staging from Fundus Images.
CoRR, 2023

Generalization in medical AI: a perspective on developing scalable models.
CoRR, 2023

End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks.
CoRR, 2023

pyPPG: A Python toolbox for comprehensive photoplethysmography signal analysis.
CoRR, 2023

LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images.
CoRR, 2023

Robust Peak Detection for Photoplethysmography Signal Snalysis.
Proceedings of the Computing in Cardiology, 2023

Case Study: Fetal Breathing Movements as a Proxy for Fetal Lung Maturity Estimation.
Proceedings of the Computing in Cardiology, 2023

PhysioZoo: The Open Digital Physiological Biomarkers Resource.
Proceedings of the Computing in Cardiology, 2023

2022
Building Trust: Lessons from the Technion-Rambam Machine Learning in Healthcare Datathon Event.
CoRR, 2022

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

Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit.
CoRR, 2022

FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for Fundus Images Quality Grading.
CoRR, 2022

SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography.
CoRR, 2022

PVBM: A Python Vasculature Biomarker Toolbox Based on Retinal Blood Vessel Segmentation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Atrial Fibrillation Recurrence Risk Prediction From 12-Lead ECG Recorded Pre- and Post-Ablation Procedure.
Proceedings of the Computing in Cardiology, 2022

Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations.
Proceedings of the Computing in Cardiology, 2022

Estimation of f-wave Dominant Frequency Using a Voting Scheme.
Proceedings of the Computing in Cardiology, 2022

ArNet-ECG: Deep Learning for the Detection of Atrial Fibrillation from the Raw Electrocardiogram.
Proceedings of the Computing in Cardiology, 2022

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

Digital oximetry biomarkers for assessing respiratory function: standards of measurement, physiological interpretation, and clinical use.
npj Digit. Medicine, 2021

Benchmarking Photoplethysmography Peak Detection Algorithms Using the Electrocardiogram Signal as a Reference.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

PhysioZoo ECG: Digital electrocardiography biomarkers to assess cardiac conduction.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Machine learning for nocturnal diagnosis of chronic obstructive pulmonary disease using digital oximetry biomarkers.
CoRR, 2020

Remote health monitoring in the time of COVID-19.
CoRR, 2020

Classification of 12-lead ECGs Using Digital Biomarkers and Representation Learning.
Proceedings of the Computing in Cardiology, 2020

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

Special Session on Computational Fetal Monitoring.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Adding Two Dimensions to Heart Rate Variability Research.
Proceedings of the Computing in Cardiology, 2018

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

Sleep Questionnaires in Screening for Obstructive Sleep Apnea.
Proceedings of the Computing in Cardiology, 2017

2016
Extraction of clinical information from the non-invasive fetal electrocardiogram.
CoRR, 2016

2015
SleepAp: An Automated Obstructive Sleep Apnoea Screening Application for Smartphones.
IEEE J. Biomed. Health Informatics, 2015

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

Fusing Continuous-valued Medical Labels using a Bayesian Model.
CoRR, 2015

2014
Extraction of clinical information from the non-invasive fetal electrocardiogram.
PhD thesis, 2014

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

CrowdLabel: A Crowdsourcing Platform for Electrophysiology.
Proceedings of the Computing in Cardiology, CinC 2014, 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

Bayesian Voting of Multiple Annotators for Improved QT Interval Estimation.
Proceedings of the Computing in Cardiology, 2013

Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 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

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

2011
Development of an mHealth Open Source Platform for Diabetic Foot Ulcers Tele-consultations.
Proceedings of the Wireless Mobile Communication and Healthcare, 2011


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