Zobrazeno 1 - 10
of 262
pro vyhledávání: '"Behar, Joachim A."'
Autor:
Tsutsui, Kenta, Brimer, Shany Biton, Ben-Moshe, Noam, Sellal, Jean Marc, Oster, Julien, Mori, Hitoshi, Ikeda, Yoshifumi, Arai, Takahide, Nakano, Shintaro, Kato, Ritsushi, Behar, Joachim A.
Atrial fibrillation (AF) is a common atrial arrhythmia that impairs quality of life and causes embolic stroke, heart failure and other complications. Recent advancements in machine learning (ML) and deep learning (DL) have shown potential for enhanci
Externí odkaz:
http://arxiv.org/abs/2406.16974
Autor:
Attia, Shirel, Hershkovich, Revital Shani, Tabakhov, Alissa, Ang, Angeleene, Haimov, Sharon, Tauman, Riva, Behar, Joachim A.
Background: Sleep staging is a fundamental component in the diagnosis of sleep disorders and the management of sleep health. Traditionally, this analysis is conducted in clinical settings and involves a time-consuming scoring procedure. Recent data-d
Externí odkaz:
http://arxiv.org/abs/2404.06869
Introduction: Deep learning models for detecting episodes of atrial fibrillation (AF) using rhythm information in long-term, ambulatory ECG recordings have shown high performance. However, the rhythm-based approach does not take advantage of the morp
Externí odkaz:
http://arxiv.org/abs/2401.05411
Autor:
Men, Yevgeniy, Fhima, Jonathan, Celi, Leo Anthony, Ribeiro, Lucas Zago, Nakayama, Luis Filipe, Behar, Joachim A.
Diabetic retinopathy (DR) is a prevalent complication of diabetes associated with a significant risk of vision loss. Timely identification is critical to curb vision impairment. Algorithms for DR staging from digital fundus images (DFIs) have been re
Externí odkaz:
http://arxiv.org/abs/2312.14891
Over the past few years, research has witnessed the advancement of deep learning models trained on large datasets, some even encompassing millions of examples. While these impressive performance on their hidden test sets, they often underperform when
Externí odkaz:
http://arxiv.org/abs/2311.05418
Autor:
Habineza, Theogene, Ribeiro, Antônio H., Gedon, Daniel, Behar, Joachim A., Ribeiro, Antonio Luiz P., Schön, Thomas B.
Publikováno v:
article{HABINEZA2023193, journal = {Journal of Electrocardiology}, volume = {81}, pages = {193-200}, year = {2023}, issn = {0022-0736}}
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. Machine lea
Externí odkaz:
http://arxiv.org/abs/2309.16335
Photoplethysmography is a non-invasive optical technique that measures changes in blood volume within tissues. It is commonly and increasingly used for in a variety of research and clinical application to assess vascular dynamics and physiological pa
Externí odkaz:
http://arxiv.org/abs/2309.13767
LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images
Autor:
Fhima, Jonathan, Van Eijgen, Jan, Kulenovic, Hana, Debeuf, Valérie, Vangilbergen, Marie, Billen, Marie-Isaline, Brackenier, Heloïse, Freiman, Moti, Stalmans, Ingeborg, Behar, Joachim A.
The retina is the only part of the human body in which blood vessels can be accessed non-invasively using imaging techniques such as digital fundus images (DFI). The spatial distribution of the retinal microvasculature may change with cardiovascular
Externí odkaz:
http://arxiv.org/abs/2309.05780
Autor:
Behar, Joachim A., Levy, Jeremy, Zvuloni, Eran, Gendelman, Sheina, Rosenberg, Aviv, Biton, Shany, Derman, Raphael, Sobel, Jonathan A., Alexandrovich, Alexandra, Charlton, Peter, Goda, Márton Á
PhysioZoo is a collaborative platform designed for the analysis of continuous physiological time series. The platform currently comprises four modules, each consisting of a library, a user interface, and a set of tutorials: (1) PhysioZoo HRV, dedicat
Externí odkaz:
http://arxiv.org/abs/2309.04498
Efficient and accurate evaluation of long-term photoplethysmography (PPG) recordings is essential for both clinical assessments and consumer products. In 2021, the top opensource peak detectors were benchmarked on the Multi-Ethnic Study of Atheroscle
Externí odkaz:
http://arxiv.org/abs/2307.10398