 Connection
Jason Burdick to Models, Cardiovascular
This is a "connection" page, showing publications Jason Burdick has written about Models, Cardiovascular.
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Connection Strength |
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0.565 |
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Wang H, Rodell CB, Lee ME, Dusaj NN, Gorman JH, Burdick JA, Gorman RC, Wenk JF. Computational sensitivity investigation of hydrogel injection characteristics for myocardial support. J Biomech. 2017 11 07; 64:231-235.
Score: 0.140
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Wang H, Zhang X, Dorsey SM, McGarvey JR, Campbell KS, Burdick JA, Gorman JH, Pilla JJ, Gorman RC, Wenk JF. Computational Investigation of Transmural Differences in Left Ventricular Contractility. J Biomech Eng. 2016 11 01; 138(11).
Score: 0.132
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Nikou A, Dorsey SM, McGarvey JR, Gorman JH, Burdick JA, Pilla JJ, Gorman RC, Wenk JF. Computational Modeling of Healthy Myocardium in Diastole. Ann Biomed Eng. 2016 Apr; 44(4):980-92.
Score: 0.121
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Kichula ET, Wang H, Dorsey SM, Szczesny SE, Elliott DM, Burdick JA, Wenk JF. Experimental and computational investigation of altered mechanical properties in myocardium after hydrogel injection. Ann Biomed Eng. 2014 Jul; 42(7):1546-56.
Score: 0.108
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Rodell CB, Lee ME, Wang H, Takebayashi S, Takayama T, Kawamura T, Arkles JS, Dusaj NN, Dorsey SM, Witschey WR, Pilla JJ, Gorman JH, Wenk JF, Burdick JA, Gorman RC. Injectable Shear-Thinning Hydrogels for Minimally Invasive Delivery to Infarcted Myocardium to Limit Left Ventricular Remodeling. Circ Cardiovasc Interv. 2016 10; 9(10).
Score: 0.033
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Nikou A, Dorsey SM, McGarvey JR, Gorman JH, Burdick JA, Pilla JJ, Gorman RC, Wenk JF. Effects of using the unloaded configuration in predicting the in vivo diastolic properties of the heart. Comput Methods Biomech Biomed Engin. 2016 Dec; 19(16):1714-1720.
Score: 0.032
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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