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Joachim A. Behar
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2020 – today
- 2025
[j12]Noam Ben-Moshe, Shany Biton Brimer
, Kenta Tsutsui, Mahmoud Suleiman, Leif Sörnmo, Joachim A. Behar:
Machine learning for ranking f-wave extraction methods in single-lead ECGs. Biomed. Signal Process. Control. 99: 106817 (2025)- 2024
- [j11]Caiyun Ma, Zhijun Xiao, Lina Zhao, Shany Biton, Joachim A. Behar, Xi Long, Rik Vullings, Ronald M. Aarts, Jianqing Li, Chengyu Liu:
A Review on Atrial Fibrillation Detection From Ambulatory ECG. IEEE Trans. Biomed. Eng. 71(3): 876-892 (2024) - [j10]Noam Ben-Moshe, Kenta Tsutsui, Shany Biton Brimer, Eran Zvuloni, Leif Sörnmo, Joachim A. Behar:
RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection From the Raw ECG. IEEE J. Biomed. Health Informatics 28(9): 5180-5188 (2024) - [i21]Noam Ben-Moshe, Kenta Tsutsui, Shany Biton, Leif Sörnmo, Joachim A. Behar:
RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG. CoRR abs/2401.05411 (2024) - [i20]Shirel Attia, Revital Shani Hershkovich, Alissa Tabakhov, Angeleene Ang, Sharon Haimov, Riva Tauman, Joachim A. Behar:
SleepPPG-Net2: Deep learning generalization for sleep staging from photoplethysmography. CoRR abs/2404.06869 (2024) - [i19]Kenta Tsutsui, Shany Biton Brimer, Noam Ben-Moshe, Jean Marc Sellal, Julien Oster, Hitoshi Mori, Yoshifumi Ikeda, Takahide Arai, Shintaro Nakano, Ritsushi Kato, Joachim A. Behar:
SHDB-AF: a Japanese Holter ECG database of atrial fibrillation. CoRR abs/2406.16974 (2024) - 2023
- [j9]Or Abramovich, Hadas Pizem, Jan Van Eijgen, Ilan Oren, Joshua Melamed, Ingeborg Stalmans, Eytan Blumenthal, Joachim A. Behar:
FundusQ-Net: A regression quality assessment deep learning algorithm for fundus images quality grading. Comput. Methods Programs Biomed. 239: 107522 (2023) - [j8]Shany Biton, Mohsin Aldhafeeri, Erez Marcusohn, Kenta Tsutsui, Tom Szwagier, Adi Elias, Julien Oster, Jean-Marc Sellal, Mahmoud Suleiman, Joachim A. Behar:
Generalizable and robust deep learning algorithm for atrial fibrillation diagnosis across geography, ages and sexes. npj Digit. Medicine 6 (2023) - [j7]Eran Zvuloni, Jesse Read, Antônio H. Ribeiro, Antônio Luiz P. Ribeiro, Joachim A. Behar:
On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG. IEEE Trans. Biomed. Eng. 70(7): 2227-2236 (2023) - [j6]Kevin Kotzen, Peter H. Charlton, Sharon Salabi, Lea Amar, Amir Landesberg, Joachim A. Behar:
SleepPPG-Net: A Deep Learning Algorithm for Robust Sleep Staging From Continuous Photoplethysmography. IEEE J. Biomed. Health Informatics 27(2): 924-932 (2023) - [c28]Joachim A. Behar, Jeremy Levy, Eran Zvuloni, Sheina Gendelman, Aviv Rosenberg, Shany Biton, Raphaël Derman, Jonathan A. Sobel, Alexandra Alexandrovich, Peter H. Charlton, Márton Áron Goda:
PhysioZoo: The Open Digital Physiological Biomarkers Resource. CinC 2023: 1-4 - [c27]Márton Áron Goda, Ron Beloosesky, Chen B. David, Zeev Weiner, Joachim A. Behar:
Case Study: Fetal Breathing Movements as a Proxy for Fetal Lung Maturity Estimation. CinC 2023: 1-4 - [c26]Marton A. Goda, Peter H. Charlton, Joachim A. Behar:
Robust Peak Detection for Photoplethysmography Signal Snalysis. CinC 2023: 1-4 - [i18]Jonathan Fhima, Jan Van Eijgen, Hana Kulenovic, Valérie Debeuf, Marie Vangilbergen, Marie-Isaline Billen, Heloïse Brackenier, Moti Freiman, Ingeborg Stalmans, Joachim A. Behar:
LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images. CoRR abs/2309.05780 (2023) - [i17]Márton Áron Goda, Peter H. Charlton, Joachim A. Behar:
pyPPG: A Python toolbox for comprehensive photoplethysmography signal analysis. CoRR abs/2309.13767 (2023) - [i16]Theogene Habineza, Antônio H. Ribeiro, Daniel Gedon, Joachim A. Behar, Antônio Luiz Pinho Ribeiro, Thomas B. Schön:
End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks. CoRR abs/2309.16335 (2023) - [i15]Joachim A. Behar, Jeremy Levy, Leo Anthony Celi:
Generalization in medical AI: a perspective on developing scalable models. CoRR abs/2311.05418 (2023) - [i14]Yevgeniy Men, Jonathan Fhima, Leo Anthony Celi, Lucas Zago Ribeiro, Luis Filipe Nakayama, Joachim A. Behar:
DRStageNet: Deep Learning for Diabetic Retinopathy Staging from Fundus Images. CoRR abs/2312.14891 (2023) - 2022
- [c25]Noam Ben-Moshe, Shany Biton, Joachim A. Behar:
ArNet-ECG: Deep Learning for the Detection of Atrial Fibrillation from the Raw Electrocardiogram. CinC 2022: 1-4 - [c24]Shany Biton, Mahmoud Suleiman, Noam Ben-Moshe, Leif Sörnmo, Joachim A. Behar:
Estimation of f-wave Dominant Frequency Using a Voting Scheme. CinC 2022: 1-4 - [c23]Jonathan Fhima, Jan Van Eijgen, Moti Freiman, Ingeborg Stalmans, Joachim A. Behar:
Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations. CinC 2022: 1-4 - [c22]Eran Zvuloni, Sheina Gendelman, Sanghamitra Mohanty, Jason Lewen, Andrea Natale, Joachim A. Behar:
Atrial Fibrillation Recurrence Risk Prediction From 12-Lead ECG Recorded Pre- and Post-Ablation Procedure. CinC 2022: 1-4 - [c21]Jonathan Fhima, Jan Van Eijgen, Ingeborg Stalmans, Yevgeniy Men, Moti Freiman, Joachim A. Behar:
PVBM: A Python Vasculature Biomarker Toolbox Based on Retinal Blood Vessel Segmentation. ECCV Workshops (3) 2022: 296-312 - [i13]Kevin Kotzen, Peter H. Charlton, Sharon Salabi, Amir Landesberg, Joachim A. Behar:
SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography. CoRR abs/2202.05735 (2022) - [i12]Or Abramovich, Hadas Pizem, Jan Van Eijgen, Ingeborg Stalmans, Eytan Blumenthal, Joachim A. Behar:
FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for Fundus Images Quality Grading. CoRR abs/2205.01676 (2022) - [i11]Raphael Azriel, Cecil D. Hahn, Thomas De Cooman, Sabine Van Huffel, Eric T. Payne, Kristin L. McBain, Danny Eytan, Joachim A. Behar:
Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit. CoRR abs/2205.05389 (2022) - [i10]Eran Zvuloni, Jesse Read, Antônio H. Ribeiro, Antônio Luiz P. Ribeiro, Joachim A. Behar:
On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG. CoRR abs/2207.06096 (2022) - [i9]Shany Biton, Mohsin Aldhafeeri, Erez Marcusohn, Kenta Tsutsui, Tom Szwagier, Adi Elias, Julien Oster, Jean-Marc Sellal, Mahmoud Suleiman, Joachim A. Behar:
Generalizable and Robust Deep Learning Algorithm for Atrial Fibrillation Diagnosis Across Ethnicities, Ages and Sexes. CoRR abs/2207.09667 (2022) - [i8]Jonathan A. Sobel, Ronit Almog, Leo Anthony Celi, Michal Gaziel Yablowitz, Danny Eytan, Joachim A. Behar:
Building Trust: Lessons from the Technion-Rambam Machine Learning in Healthcare Datathon Event. CoRR abs/2207.14638 (2022) - [i7]Jonathan Fhima, Jan Van Eijgen, Ingeborg Stalmans, Yevgeniy Men, Moti Freiman, Joachim A. Behar:
PVBM: A Python Vasculature Biomarker Toolbox Based On Retinal Blood Vessel Segmentation. CoRR abs/2208.00392 (2022) - [i6]Jonathan Fhima, Jan Van Eijgen, Moti Freiman, Ingeborg Stalmans, Joachim A. Behar:
Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations. CoRR abs/2208.10100 (2022) - [i5]Eran Zvuloni, Sheina Gendelman, Sanghamitra Mohanty, Jason Lewen, Andrea Natale, Joachim A. Behar:
Atrial Fibrillation Recurrence Risk Prediction from 12-lead ECG Recorded Pre- and Post-Ablation Procedure. CoRR abs/2208.10550 (2022) - 2021
- [j5]Jeremy Levy, Daniel Álvarez, Aviv A. Rosenberg, Alexandra Alexandrovich, Félix del Campo, Joachim A. Behar:
Digital oximetry biomarkers for assessing respiratory function: standards of measurement, physiological interpretation, and clinical use. npj Digit. Medicine 4 (2021) - [j4]Armand Chocron, Julien Oster, Shany Biton, Franck Mandel, Meyer Elbaz, Yehoshua Y. Zeevi, Joachim A. Behar:
Remote Atrial Fibrillation Burden Estimation Using Deep Recurrent Neural Network. IEEE Trans. Biomed. Eng. 68(8): 2447-2455 (2021) - [c20]Sheina Gendelman, Shany Biton, Raphaël Derman, Eran Zvuloni, Jeremy Levy, Snir Lugassy, Alexandra Alexandrovich, Joachim A. Behar:
PhysioZoo ECG: Digital electrocardiography biomarkers to assess cardiac conduction. CinC 2021: 1-4 - [c19]Kevin Kotzen, Peter H. Charlton, Amir Landesberg, Joachim A. Behar:
Benchmarking Photoplethysmography Peak Detection Algorithms Using the Electrocardiogram Signal as a Reference. CinC 2021: 1-4 - 2020
- [c18]David Assaraf, Jeremy Levy, Janmajay Singh, Armand Chocron, Joachim A. Behar:
Classification of 12-lead ECGs Using Digital Biomarkers and Representation Learning. CinC 2020: 1-4 - [i4]Joachim A. Behar, Chengyu Liu, Kenta Tsutsui, Valentina D. A. Corino, Janmajay Singh, Marco A. F. Pimentel, Walter Karlen, Philip Warrick, Sebastian Zaunseder, Fernando Andreotti, Maxim Osipov, Patrick E. McSharry, Kevin Kotzen, Chandan K. Karmakar, Gari D. Clifford:
Remote health monitoring in the time of COVID-19. CoRR abs/2005.08537 (2020) - [i3]Jeremy Levy, Daniel Álvarez, Félix del Campo, Joachim A. Behar:
Machine learning for nocturnal diagnosis of chronic obstructive pulmonary disease using digital oximetry biomarkers. CoRR abs/2012.05492 (2020)
2010 – 2019
- 2019
- [c17]Joachim A. Behar, Zeev Weiner, Philip Warrick:
Special Session on Computational Fetal Monitoring. CinC 2019: 1-4 - [c16]Benjamin Roussel, Joachim Behar, Julien Oster:
A Recurrent Neural Network for the Prediction of Vital Sign Evolution and Sepsis in ICU. CinC 2019: 1-4 - 2018
- [c15]Joachim A. Behar, Ori Shemla, Ido Weiser-Bitoun, Aviv Rosenberg, Yael Yaniv:
Adding Two Dimensions to Heart Rate Variability Research. CinC 2018: 1-4 - 2017
- [c14]Joachim A. Behar, Niclas Palmius, Jonathan Daly, Qiao Li, Fabiola Rizzatti, Lia Bittencourt, Gari D. Clifford:
Sleep Questionnaires in Screening for Obstructive Sleep Apnea. CinC 2017 - [c13]Joachim A. Behar, Aviv Rosenberg, Yael Yaniv, Julien Oster:
Rhythm and Quality Classification from Short ECGs Recorded using a Mobile Device. CinC 2017 - 2016
- [i2]Joachim Behar:
Extraction of clinical information from the non-invasive fetal electrocardiogram. CoRR abs/1606.01093 (2016) - 2015
- [j3]Julien Oster, Joachim Behar, Omid Sayadi, Shamim Nemati, Alistair E. W. Johnson, Gari D. Clifford:
Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters. IEEE Trans. Biomed. Eng. 62(9): 2125-2134 (2015) - [j2]Joachim Behar, Aoife Roebuck, Mohammed Shahid, Jonathan Daly, Andre Hallack, Niclas Palmius, John Stradling, Gari D. Clifford:
SleepAp: An Automated Obstructive Sleep Apnoea Screening Application for Smartphones. IEEE J. Biomed. Health Informatics 19(1): 325-331 (2015) - [i1]Tingting Zhu, Nic Dunkley, Joachim Behar, David A. Clifton, Gari D. Clifford:
Fusing Continuous-valued Medical Labels using a Bayesian Model. CoRR abs/1503.06619 (2015) - 2014
- [b1]Joachim Behar:
Extraction of clinical information from the non-invasive fetal electrocardiogram. University of Oxford, UK, 2014 - [c12]Joachim Behar, Fernando Andreotti, Julien Oster, Gari D. Clifford:
A Bayesian Filtering Framework for Accurate Extracting of the Non Invasive FECG Morphology. CinC 2014: 53-56 - [c11]Alistair E. W. Johnson, Joachim Behar, Fernando Andreotti, Gari D. Clifford, Julien Oster:
R- Peak Estimation using Multimodal Lead Switching. CinC 2014: 281-284 - [c10]Fernando Andreotti, Joachim Behar, Julien Oster, Gari D. Clifford, Hagen Malberg, Sebastian Zaunseder:
Optimized Modelling of Maternal ECG Beats using the Stationary Wavelet Transform. CinC 2014: 325-328 - [c9]Mohsan S. Alvi, Fernando Andreotti, Julien Oster, Sebastian Zaunseder, Gari D. Clifford, Joachim Behar:
fecgsyngui: A GUI Interface to fecgsynfor the Simulation of Maternal-Foetal Activity Mixtures on Abdominal Electrocardiogram Recordings. CinC 2014: 541-544 - [c8]Tingting Zhu, Joachim Behar, Tasos Papastylianou, Gari D. Clifford:
CrowdLabel: A Crowdsourcing Platform for Electrophysiology. CinC 2014: 789-792 - [c7]Gari D. Clifford, Carlos Arteta, Tingting Zhu, Marco A. F. Pimentel, Mauro D. Santos, João S. Domingos, Mohammad Ali Maraci, Joachim Behar, Julien Oster:
A scalable mHealth system for noncommunicable disease management. GHTC 2014: 41-48 - 2013
- [j1]Joachim Behar, Julien Oster, Qiao Li, Gari D. Clifford:
ECG Signal Quality During Arrhythmia and Its Application to False Alarm Reduction. IEEE Trans. Biomed. Eng. 60(6): 1660-1666 (2013) - [c6]Ikaro Silva, Joachim Behar, Reza Sameni, Tingting Zhu, Julien Oster, Gari D. Clifford, George B. Moody:
Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013. CinC 2013: 149-152 - [c5]Joachim Behar, Aoife Roebuck, Mohammed Shahid, Jonathan Daly, Andre Hallack, Niclas Palmius, John Stradling, Gari D. Clifford:
SleepAp: An Automated Obstructive Sleep Apnoea Screening Application for Smartphones. CinC 2013: 257-260 - [c4]Joachim Behar, Julien Oster, Gari D. Clifford:
Non Invasive FECG Extraction from a Set of Abdominal Sensors. CinC 2013: 297-300 - [c3]Tingting Zhu, Alistair E. W. Johnson, Joachim Behar, Gari D. Clifford:
Bayesian Voting of Multiple Annotators for Improved QT Interval Estimation. CinC 2013: 659-662 - [c2]Julien Oster, Joachim Behar, Roberta Colloca, Qichen Li, Qiao Li, Gari D. Clifford:
Open Source Java-based ECG analysis Software and Android app for Atrial Fibrillation Screening. CinC 2013: 731-734 - 2011
- [c1]George E. Dafoulas, Stylianos Koutsias, Joachim Behar, Juan D. Osorio, Brian Malley, Alexander Gruentzig, Leo Anthony Celi, Pantelis Angelidis, Kyriaki Theodorou, Athanasios Giannoukas:
Development of an mHealth Open Source Platform for Diabetic Foot Ulcers Tele-consultations. MobiHealth 2011: 158-164
Coauthor Index
Shany Biton Brimer
aka: Shany Biton
aka: Shany Biton
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