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Platelet activation and erythrocyte lysis during brief exposure of blood to pathophysiological shear stress in vitro.
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- Clinical Hemorheology & Microcirculation, 2017, v. 67, n. 2, p. 159, doi. 10.3233/CH-170256
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- Article
Identification of North American softwoods via machine-learning.
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- Canadian Journal of Forest Research, 2021, v. 51, n. 9, p. 1245, doi. 10.1139/cjfr-2020-0416
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- Article
Creating High-Resolution Microscopic Cross-Section Images of Hardwood Species Using Generative Adversarial Networks.
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- Frontiers in Plant Science, 2021, v. 12, p. 1, doi. 10.3389/fpls.2021.760139
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- Article
Development and Validation of a Machine Learned Turbulence Model †.
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- Energies (19961073), 2021, v. 14, n. 5, p. 1465, doi. 10.3390/en14051465
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- Article
A fibrin enhanced thrombosis model for medical devices operating at low shear regimes or large surface areas.
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- PLoS Computational Biology, 2022, v. 18, n. 10, p. 1, doi. 10.1371/journal.pcbi.1010277
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- Article
Effect of Impeller Design and Spacing on Gas Exchange in a Percutaneous Respiratory Assist Catheter.
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- Artificial Organs, 2014, v. 38, n. 12, p. 1007, doi. 10.1111/aor.12308
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- Article
Computational Fluid Dynamics Analysis of a Maglev Centrifugal Left Ventricular Assist Device.
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- Artificial Organs, 2004, v. 28, n. 10, p. 874, doi. 10.1111/j.1525-1594.2004.07384.x
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- Article
Predicting Membrane Oxygenator Pressure Drop Using Computational Fluid Dynamics.
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- Artificial Organs, 2002, v. 26, n. 7, p. 600, doi. 10.1046/j.1525-1594.2002.07082.x
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- Article
Computational Fluid Dynamics as a Development Tool for Rotary Blood Pumps.
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- Artificial Organs, 2001, v. 25, n. 5, p. 336, doi. 10.1046/j.1525-1594.2001.025005336.x
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- Article
Computational Flow Optimization of Rotary Blood Pump Components.
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- Artificial Organs, 1995, v. 19, n. 7, p. 608, doi. 10.1111/j.1525-1594.1995.tb02389.x
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- Article
Bench Validation of a Compact Low-Flow CO<sub>2</sub> Removal Device.
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- Intensive Care Medicine Experimental, 2018, v. 6, n. 1, p. 1, doi. 10.1186/s40635-018-0200-7
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- Publication type:
- Article
North American Hardwoods Identification Using Machine-Learning.
- Published in:
- Forests (19994907), 2020, v. 11, n. 3, p. 298, doi. 10.3390/f11030298
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- Article