Joachim A. Behar

52 papers Journal 36Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GONet: A Generalizable Deep Learning Model for Glaucoma Detection. IEEE Trans. Biomed. Eng. Or Abramovich, Hadas Pizem, Jonathan Fhima, Eran Berkowitz, Ben Gofrit, Meishar Meisel, Meital Baskin, Jan Van Eijgen, Ingeborg Stalmans, Eytan Blumenthal, Joachim A. Behar
2026	J	`jnl`	Modeling Day-Long ECG Signals to Predict Heart Failure Risk with Explainable AI. CoRR Eran Zvuloni, Ronit Almog, Michael Glikson, Shany Biton Brimer, Ilan Green, Izhar Laufer, Offer Amir, Joachim A. Behar
2025	J	`jnl`	Benchmarking Ophthalmology Foundation Models for Clinically Significant Age Macular Degeneration Detection. CoRR Benjamin A. Cohen, Jonathan Fhima, Meishar Meisel, Meital Baskin, Luis Filipe Nakayama, Eran Berkowitz, Joachim A. Behar
2025	J	`jnl`	Deep Learning for Pediatric Sleep Staging From Photoplethysmography: A Transfer Learning Approach From Adults to Children. IEEE Trans. Biomed. Eng. Sharon Haimov, Alissa Tabakhov, Riva Tauman, Joachim A. Behar
2025	J	`jnl`	Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling. CoRR Jonathan Fhima, Jan Van Eijgen, Lennert Beeckmans, Thomas Jacobs, Moti Freiman, Luis Filipe Nakayama, Ingeborg Stalmans, Chaim Baskin, Joachim A. Behar
2025	J	`jnl`	GONet: A Generalizable Deep Learning Model for Glaucoma Detection. CoRR Or Abramovich, Hadas Pizem, Jonathan Fhima, Eran Berkowitz, Ben Gofrit, Meishar Meisel, Meital Baskin, Jan Van Eijgen, Ingeborg Stalmans, Eytan Blumenthal, Joachim A. Behar
2025	J	`jnl`	Machine learning for ranking f-wave extraction methods in single-lead ECGs. Biomed. Signal Process. Control. Noam Ben-Moshe, Shany Biton Brimer, Kenta Tsutsui, Mahmoud Suleiman, Leif Sörnmo, Joachim A. Behar
2025	J	`jnl`	Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers. CoRR Márton Áron Goda, Helen Badge, Jasmeen Khan, Yosef Solewicz, Moran Davoodi, Rumbidzai Teramayi, Dennis Cordato, Longting Lin, Lauren Christie, Christopher Blair, Gagan Sharma, Mark Parsons, Joachim A. Behar
2025	J	`jnl`	uPVC-Net: A Universal Premature Ventricular Contraction Detection Deep Learning Algorithm. CoRR Hagai Hamami, Yosef Solewicz, Daniel Zur, Yonatan Kleerekoper, Joachim A. Behar
2024	J	`jnl`	A Review on Atrial Fibrillation Detection From Ambulatory ECG. IEEE Trans. Biomed. Eng. Caiyun Ma, Zhijun Xiao, Lina Zhao, Shany Biton, Joachim A. Behar, Xi Long, Rik Vullings, Ronald M. Aarts, Jianqing Li, Chengyu Liu
2024	J	`jnl`	RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection From the Raw ECG. IEEE J. Biomed. Health Informatics Noam Ben-Moshe, Kenta Tsutsui, Shany Biton Brimer, Eran Zvuloni, Leif Sörnmo, Joachim A. Behar
2024	J	`jnl`	RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG. CoRR Noam Ben-Moshe, Kenta Tsutsui, Shany Biton, Leif Sörnmo, Joachim A. Behar
2024	J	`jnl`	SHDB-AF: a Japanese Holter ECG database of atrial fibrillation. CoRR 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
2024	J	`jnl`	SleepPPG-Net2: Deep learning generalization for sleep staging from photoplethysmography. CoRR Shirel Attia, Revital Shani Hershkovich, Alissa Tabakhov, Angeleene Ang, Sharon Haimov, Riva Tauman, Joachim A. Behar
2023	—	`conf`	Accelerometry-Guided Inter-Beat-Interval Assessment from Wrist Photoplethysmography. CinC Peter H. Charlton, Joachim A. Behar, Márton Áron Goda, Jonathan Mant, Panicos A. Kyriacou
2023	—	`conf`	Case Study: Fetal Breathing Movements as a Proxy for Fetal Lung Maturity Estimation. CinC Márton Áron Goda, Ron Beloosesky, Chen B. David, Zeev Weiner, Joachim A. Behar
2023	J	`jnl`	DRStageNet: Deep Learning for Diabetic Retinopathy Staging from Fundus Images. CoRR Yevgeniy Men, Jonathan Fhima, Leo Anthony Celi, Lucas Zago Ribeiro, Luis Filipe Nakayama, Joachim A. Behar
2023	J	`jnl`	End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks. CoRR Theogene Habineza, Antônio H. Ribeiro, Daniel Gedon, Joachim A. Behar, Antônio Luiz Pinho Ribeiro, Thomas B. Schön
2023	J	`jnl`	FundusQ-Net: A regression quality assessment deep learning algorithm for fundus images quality grading. Comput. Methods Programs Biomed. Or Abramovich, Hadas Pizem, Jan Van Eijgen, Ilan Oren, Joshua Melamed, Ingeborg Stalmans, Eytan Blumenthal, Joachim A. Behar
2023	J	`jnl`	Generalizable and robust deep learning algorithm for atrial fibrillation diagnosis across geography, ages and sexes. npj Digit. Medicine Shany Biton, Mohsin Aldhafeeri, Erez Marcusohn, Kenta Tsutsui, Tom Szwagier, Adi Elias, Julien Oster, Jean-Marc Sellal, Mahmoud Suleiman, Joachim A. Behar
2023	J	`jnl`	Generalization in medical AI: a perspective on developing scalable models. CoRR Joachim A. Behar, Jeremy Levy, Leo Anthony Celi
2023	J	`jnl`	LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images. CoRR Jonathan Fhima, Jan Van Eijgen, Hana Kulenovic, Valérie Debeuf, Marie Vangilbergen, Marie-Isaline Billen, Heloïse Brackenier, Moti Freiman, Ingeborg Stalmans, Joachim A. Behar
2023	J	`jnl`	On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG. IEEE Trans. Biomed. Eng. Eran Zvuloni, Jesse Read, Antônio H. Ribeiro, Antônio Luiz P. Ribeiro, Joachim A. Behar
2023	—	`conf`	PhysioZoo: The Open Digital Physiological Biomarkers Resource. CinC 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
2023	—	`conf`	Robust Peak Detection for Photoplethysmography Signal Snalysis. CinC Márton Áron Goda, Peter H. Charlton, Joachim A. Behar
2023	J	`jnl`	SleepPPG-Net: A Deep Learning Algorithm for Robust Sleep Staging From Continuous Photoplethysmography. IEEE J. Biomed. Health Informatics Kevin Kotzen, Peter H. Charlton, Sharon Salabi, Lea Amar, Amir Landesberg, Joachim A. Behar
2023	J	`jnl`	pyPPG: A Python toolbox for comprehensive photoplethysmography signal analysis. CoRR Márton Áron Goda, Peter H. Charlton, Joachim A. Behar
2022	—	`conf`	ArNet-ECG: Deep Learning for the Detection of Atrial Fibrillation from the Raw Electrocardiogram. CinC Noam Ben-Moshe, Shany Biton, Joachim A. Behar
2022	—	`conf`	Atrial Fibrillation Recurrence Risk Prediction From 12-Lead ECG Recorded Pre- and Post-Ablation Procedure. CinC Eran Zvuloni, Sheina Gendelman, Sanghamitra Mohanty, Jason Lewen, Andrea Natale, Joachim A. Behar
2022	J	`jnl`	Atrial Fibrillation Recurrence Risk Prediction from 12-lead ECG Recorded Pre- and Post-Ablation Procedure. CoRR Eran Zvuloni, Sheina Gendelman, Sanghamitra Mohanty, Jason Lewen, Andrea Natale, Joachim A. Behar
2022	J	`jnl`	Building Trust: Lessons from the Technion-Rambam Machine Learning in Healthcare Datathon Event. CoRR Jonathan A. Sobel, Ronit Almog, Leo Anthony Celi, Michal Gaziel Yablowitz, Danny Eytan, Joachim A. Behar
2022	—	`conf`	Estimation of f-wave Dominant Frequency Using a Voting Scheme. CinC Shany Biton, Mahmoud Suleiman, Noam Ben-Moshe, Leif Sörnmo, Joachim A. Behar
2022	J	`jnl`	FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for Fundus Images Quality Grading. CoRR Or Abramovich, Hadas Pizem, Jan Van Eijgen, Ingeborg Stalmans, Eytan Blumenthal, Joachim A. Behar
2022	J	`jnl`	Generalizable and Robust Deep Learning Algorithm for Atrial Fibrillation Diagnosis Across Ethnicities, Ages and Sexes. CoRR Shany Biton, Mohsin Aldhafeeri, Erez Marcusohn, Kenta Tsutsui, Tom Szwagier, Adi Elias, Julien Oster, Jean-Marc Sellal, Mahmoud Suleiman, Joachim A. Behar
2022	—	`conf`	Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations. CinC Jonathan Fhima, Jan Van Eijgen, Moti Freiman, Ingeborg Stalmans, Joachim A. Behar
2022	J	`jnl`	Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations. CoRR Jonathan Fhima, Jan Van Eijgen, Moti Freiman, Ingeborg Stalmans, Joachim A. Behar
2022	J	`jnl`	Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit. CoRR Raphael Azriel, Cecil D. Hahn, Thomas De Cooman, Sabine Van Huffel, Eric T. Payne, Kristin L. McBain, Danny Eytan, Joachim A. Behar
2022	J	`jnl`	On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG. CoRR Eran Zvuloni, Jesse Read, Antônio H. Ribeiro, Antônio Luiz P. Ribeiro, Joachim A. Behar
2022	J	`jnl`	PVBM: A Python Vasculature Biomarker Toolbox Based On Retinal Blood Vessel Segmentation. CoRR Jonathan Fhima, Jan Van Eijgen, Ingeborg Stalmans, Yevgeniy Men, Moti Freiman, Joachim A. Behar
2022	—	`conf`	PVBM: A Python Vasculature Biomarker Toolbox Based on Retinal Blood Vessel Segmentation. ECCV Workshops (3) Jonathan Fhima, Jan Van Eijgen, Ingeborg Stalmans, Yevgeniy Men, Moti Freiman, Joachim A. Behar
2022	J	`jnl`	SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography. CoRR Kevin Kotzen, Peter H. Charlton, Sharon Salabi, Amir Landesberg, Joachim A. Behar
2021	—	`conf`	Benchmarking Photoplethysmography Peak Detection Algorithms Using the Electrocardiogram Signal as a Reference. CinC Kevin Kotzen, Peter H. Charlton, Amir Landesberg, Joachim A. Behar
2021	J	`jnl`	Digital oximetry biomarkers for assessing respiratory function: standards of measurement, physiological interpretation, and clinical use. npj Digit. Medicine Jeremy Levy, Daniel Álvarez, Aviv A. Rosenberg, Alexandra Alexandrovich, Félix del Campo, Joachim A. Behar
2021	—	`conf`	PhysioZoo ECG: Digital electrocardiography biomarkers to assess cardiac conduction. CinC Sheina Gendelman, Shany Biton, Raphaël Derman, Eran Zvuloni, Jeremy Levy, Snir Lugassy, Alexandra Alexandrovich, Joachim A. Behar
2021	J	`jnl`	Remote Atrial Fibrillation Burden Estimation Using Deep Recurrent Neural Network. IEEE Trans. Biomed. Eng. Armand Chocron, Julien Oster, Shany Biton, Franck Mandel, Meyer Elbaz, Yehoshua Y. Zeevi, Joachim A. Behar
2020	—	`conf`	Classification of 12-lead ECGs Using Digital Biomarkers and Representation Learning. CinC David Assaraf, Jeremy Levy, Janmajay Singh, Armand Chocron, Joachim A. Behar
2020	J	`jnl`	Machine learning for nocturnal diagnosis of chronic obstructive pulmonary disease using digital oximetry biomarkers. CoRR Jeremy Levy, Daniel Álvarez, Félix del Campo, Joachim A. Behar
2020	J	`jnl`	Remote health monitoring in the time of COVID-19. CoRR 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
2019	—	`conf`	Special Session on Computational Fetal Monitoring. CinC Joachim A. Behar, Zeev Weiner, Philip Warrick
2018	—	`conf`	Adding Two Dimensions to Heart Rate Variability Research. CinC Joachim A. Behar, Ori Shemla, Ido Weiser-Bitoun, Aviv Rosenberg, Yael Yaniv
2017	—	`conf`	Rhythm and Quality Classification from Short ECGs Recorded using a Mobile Device. CinC Joachim A. Behar, Aviv Rosenberg, Yael Yaniv, Julien Oster
2017	—	`conf`	Sleep Questionnaires in Screening for Obstructive Sleep Apnea. CinC Joachim A. Behar, Niclas Palmius, Jonathan Daly, Qiao Li, Fabiola Rizzatti, Lia Bittencourt, Gari D. Clifford