Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Forouzanfar, Mohamad"'
Precise estimation of cardiac patients' current and future comorbidities is an important factor in prioritizing continuous physiological monitoring and new therapies. ML models have shown satisfactory performance in short-term mortality prediction of
Externí odkaz:
http://arxiv.org/abs/2403.01533
Idiopathic ventricular arrhythmia (IVAs) is extra abnormal heartbeats disturbing the regular heart rhythm that can become fatal if left untreated. Cardiac catheter ablation is the standard approach to treat IVAs, however, a crucial prerequisite for t
Externí odkaz:
http://arxiv.org/abs/2302.10824
Autor:
Delfan, Niloufar, Forouzanfar, Mohamad
Oscillometric monitors are the most common automated blood pressure (BP) measurement devices used in non-specialist settings. However, their accuracy and reliability vary under different settings and for different age groups and health conditions. A
Externí odkaz:
http://arxiv.org/abs/2301.10154
Autor:
Delfan, Niloufar, Moghaddam, Hamid Abrishami, Modaresi, Mohammadreza, Afshari, Kimia, Nezamabadi, Kasra, Pak, Neda, Ghaemi, Omid, Forouzanfar, Mohamad
Segmentation of lung tissue in computed tomography (CT) images is a precursor to most pulmonary image analysis applications. Semantic segmentation methods using deep learning have exhibited top-tier performance in recent years, however designing accu
Externí odkaz:
http://arxiv.org/abs/2212.13971
Autor:
Izadi, Saadat1 (AUTHOR) saadat.izadi.1@ens.etsmtl.ca, Forouzanfar, Mohamad1 (AUTHOR) mohamad.forouzanfar@etsmtl.ca
Publikováno v:
AI. Jun2024, Vol. 5 Issue 2, p803-841. 39p.
Autor:
Maleki Varnosfaderani, Shiva1 (AUTHOR), Forouzanfar, Mohamad2,3 (AUTHOR) mohamad.forouzanfar@etsmtl.ca
Publikováno v:
Bioengineering (Basel). Apr2024, Vol. 11 Issue 4, p337. 38p.
Akademický článek
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Autor:
Forouzanfar, Mohamad
Oscillometry is the most common measurement method used in automatic blood pressure (BP) monitors. However, most of the oscillometric algorithms are without physiological and theoretical foundation, and rely on empirically derived coefficients for sy
Externí odkaz:
http://hdl.handle.net/10393/31213
Akademický článek
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Publikováno v:
IEEE Journal of Biomedical and Health Informatics; November 2024, Vol. 28 Issue: 11 p6653-6660, 8p