no code implementations • 10 Apr 2024 • Shirel Attia, Revital Shani Hershkovich, Alissa Tabakhov, Angeleene Ang, Sharon Haimov, Riva Tauman, Joachim A. Behar
Methods: This study aimed to develop a generalizable deep learning model for the task of four class (wake, light, deep, and rapid eye movement (REM)) sleep staging from raw PPG physiological time-series.
no code implementations • 26 Dec 2023 • Noam Ben-Moshe, Kenta Tsutsui, Shany Biton, Leif Sörnmo, Joachim A. Behar
Methods: To address this limitation, we have developed a deep learning model, named RawECGNet, to detect episodes of AF and atrial flutter (AFl) using the raw, single-lead ECG.
no code implementations • 22 Dec 2023 • Yevgeniy Men, Jonathan Fhima, Leo Anthony Celi, Lucas Zago Ribeiro, Luis Filipe Nakayama, Joachim A. Behar
Diabetic retinopathy (DR) is a prevalent complication of diabetes associated with a significant risk of vision loss.
no code implementations • 9 Nov 2023 • Joachim A. Behar, Jeremy Levy, Leo Anthony Celi
Re-calibration using transfer learning may not even be possible in some instances where reference labels of target domains are not available.
1 code implementation • 28 Sep 2023 • Theogene Habineza, Antônio H. Ribeiro, Daniel Gedon, Joachim A. Behar, Antonio Luiz P. Ribeiro, Thomas B. Schön
Background: Atrial fibrillation (AF) is one of the most common cardiac arrhythmias that affects millions of people each year worldwide and it is closely linked to increased risk of cardiovascular diseases such as stroke and heart failure.
no code implementations • 11 Sep 2023 • Jonathan Fhima, Jan Van Eijgen, Hana Kulenovic, Valérie Debeuf, Marie Vangilbergen, Marie-Isaline Billen, Heloïse Brackenier, Moti Freiman, Ingeborg Stalmans, Joachim A. Behar
Using active learning, we created a new DFI dataset containing 240 crowd-sourced manual A/V segmentations performed by fifteen medical students and reviewed by an ophthalmologist, and developed LUNet, a novel deep learning architecture for high resolution A/V segmentation.
no code implementations • 7 Sep 2023 • Joachim A. Behar, Jeremy Levy, Eran Zvuloni, Sheina Gendelman, Aviv Rosenberg, Shany Biton, Raphael Derman, Jonathan A. Sobel, Alexandra Alexandrovich, Peter Charlton, Márton Á Goda
PhysioZoo is a collaborative platform designed for the analysis of continuous physiological time series.
no code implementations • 17 Jul 2023 • Noam Ben-Moshe, Shany Biton, Kenta Tsutsui, Mahmoud Suleiman, Leif Sörnmo, Joachim A. Behar
The approach is well-suited for processing large Holter data sets annotated with respect to the presence of AF.
no code implementations • 23 Aug 2022 • Shany Biton, Mahmoud Suleiman, Noam Ben Moshe, Leif Sörnmo, Joachim A. Behar
Using these three algorithms in a voting scheme, the classifier obtained AUC=0. 60 and the DAFs were mostly spread around 6 Hz, 5. 66 (4. 83-7. 47).
no code implementations • 22 Aug 2022 • Jonathan Fhima, Jan Van Eijgen, Moti Freiman, Ingeborg Stalmans, Joachim A. Behar
Discussion and future work: We will use active learning strategies to continue enlarging our retinal fundus dataset by including a more efficient process to select the images to be annotated and distribute them to annotators.
no code implementations • 22 Aug 2022 • Noam Ben-Moshe, Shany Biton, Joachim A. Behar
We further hypothesize that the performance reached leveraging the raw ECG will be superior to previously developed methods using the beat-to-beat interval variation time series.
no code implementations • 22 Aug 2022 • Eran Zvuloni, Sheina Gendelman, Sanghamitra Mohanty, Jason Lewen, Andrea Natale, Joachim A. Behar
Therefore, an AFR risk prediction algorithm could enable a better management of CAP patients.
no code implementations • 31 Jul 2022 • Jonathan Fhima, Jan Van Eijgen, Ingeborg Stalmans, Yevgeniy Men, Moti Freiman, Joachim A. Behar
Results: We built a fully automated vasculature biomarker toolbox based on DFI segmentations and provided a proof of usability to characterize the vascular changes in glaucoma.
no code implementations • 20 Jul 2022 • Shany Biton, Mohsin Aldhafeeri, Erez Marcusohn, Kenta Tsutsui, Tom Szwagier, Adi Elias, Julien Oster, Jean Marc Sellal, Mahmoud Suleiman, Joachim A. Behar
This retrospective study is, to the best of our knowledge, the first to develop and assess the generalization performance of a deep learning (DL) model for AF events detection from long term beat-to-beat intervals across ethnicities, ages and sexes.
no code implementations • 16 Jul 2022 • Jonathan A. Sobel, Ronit Almog, Leo Anthony Celi, Michal Gaziel-Yablowitz, Danny Eytan, Joachim A. Behar
A datathon is a time-constrained competition involving data science applied to a specific problem.
no code implementations • 13 Jul 2022 • Eran Zvuloni, Jesse Read, Antônio H. Ribeiro, Antonio Luiz P. Ribeiro, Joachim A. Behar
Conclusion: We found that for traditional 12-lead ECG based diagnosis tasks DL did not yield a meaningful improvement over FE, while it improved significantly the nontraditional regression task.
no code implementations • 11 May 2022 • Raphael Azriel, Cecil D. Hahn, Thomas De Cooman, Sabine Van Huffel, Eric T. Payne, Kristin L. McBain, Danny Eytan, Joachim A. Behar
This research aims to develop a computer aided tool to improve seizures risk assessment in critically-ill children, using an ubiquitously recorded signal in the PICU, namely the electrocardiogram (ECG).
1 code implementation • 2 May 2022 • Or Abramovich, Hadas Pizem, Jan Van Eijgen, Ilan Oren, Joshua Melamed, Ingeborg Stalmans, Eytan Z. Blumenthal, Joachim A. Behar
We present a novel fundus image quality scale and deep learning (DL) model that can estimate fundus image quality relative to this new scale.
no code implementations • 11 Feb 2022 • Kevin Kotzen, Peter H. Charlton, Sharon Salabi, Lea Amar, Amir Landesberg, Joachim A. Behar
We hypothesize that it is possible to perform robust 4-class sleep staging using the raw photoplethysmography (PPG) time series and modern advances in deep learning (DL).
no code implementations • 9 Feb 2021 • Nitai Bar, Jonathan A. Sobel, Thomas Penzel, Yosi Shamay, Joachim A. Behar
Sleep has a profound influence on the physiology of body systems and biological processes.
no code implementations • 10 Dec 2020 • Jeremy Levy, Daniel Alvarez, Felix del Campo, Joachim A. Behar
Approach: We hypothesize that patients with COPD will exert certain patterns and/or dynamics of their overnight oximetry time series that are unique to this condition.
no code implementations • 29 Jul 2020 • Armand Chocron, Roi Efraim, Franck Mandel, Michael Rueschman, Niclas Palmius, Thomas Penzel, Meyer Elbaz, Joachim A. Behar
However, there is incentive in performing screening for specific at risk groups such as individuals suspected of sleep-disordered breathing where an important association between AF and obstructive sleep apnea (OSA) has been demonstrated.