Abbas Samani
University of Western Ontario
17 Papers
73 Citations
Abbas Samani is an academic researcher from University of Western Ontario. The author has contributed to research in topics: Diaphragm (structural system) & Imaging phantom. The author has an hindex of 6, co-authored 17 publications. Previous affiliations of Abbas Samani include Robarts Research Institute.
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Papers
Porous, Ventricular Extracellular Matrix-Derived Foams as a Platform for Cardiac Cell Culture
TL;DR: Methods to fabricate nonchemically cross-linked 3D porous foams derived entirely from decellularized porcine left ventricle (DLV) for use as an in vitro cardiac cell culture platform are established, suggesting a synergistic effect of the cardiac ECM-derived scaffolds and the culture medium on the induction of pfASC differentiation.
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Lung CT image based automatic technique for COPD GOLD stage assessment
Hadi Moghadas-Dastjerdi,Mohammad Reza Ahmadzadeh,Elham Karami,Elham Karami,Mehdi Karami,Abbas Samani,Abbas Samani +6 more
TL;DR: An expert system technique proposed to accurately assess COPD severity characterized by its stage through processing the patients thoracic CT images demonstrates its effectiveness in determining COPD stage merely based on CT images and without using PFT measurements.
19
A computational model of the left ventricle biomechanics using a composite material approach
Seyyed M. H. Haddad,Abbas Samani +1 more
TL;DR: A cardiac mechanics model using a novel approach which does not require strain energy functions developed specifically for simulating myocardial tissue active response is developed, lending itself for effective implementation in off-the-shelf FE solvers.
16
A novel micro-to-macro approach for cardiac tissue mechanics.
Seyyed M. H. Haddad,Abbas Samani +1 more
TL;DR: Finite element simulations of uniaxial and equibiaxial tests of normal and infarcted tissue samples with known amounts of these constituents were conducted, leading to corresponding tissue stress–strain data that were fitted to anisotropic/hyperelastic models.
13
Towards computer based lung disease diagnosis using accurate lung air segmentation of CT images in exhalation and inhalation phases
TL;DR: The performance characteristics of the proposed method, including being completely image based, fully automatic combined with its demonstrated high accuracy makes it a strong candidate to complement/replace pulmonary function diagnostic tests that involve experimental measurement of function parameters.
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