Biblio | University of Kentucky College of Health Sciences

Found 12 results

Filters: Keyword is Algorithms [Clear All Filters]

2019

Zolnoori M, Fung KWah, Patrick TB, Fontelo P, Kharrazi H, Faiola A, Wu YShuan Shir, Eldredge CE, Luo J, Conway M et al.. 2019. A systematic approach for developing a corpus of patient reported adverse drug events: A case study for SSRI and SNRI medications.. J Biomed Inform. 90:103091.

2017

Wyant AR, Chatterjee S, Bennett T. 2017. Managing chest pain in patients with concomitant left bundle-branch block.. JAAPA. 30(11):16-21.

2016

Snyder BA, Munter AD, Houston MN, Hoch JM, Hoch MC. 2016. Interrater and intrarater reliability of the semmes-weinstein monofilament 4-2-1 stepping algorithm.. Muscle Nerve. 53(6):918-24.

2015

Henry B, Zhao M, Shang Y, Uhl TL, D Thomas T, Xenos ES, Saha S, Yu G. 2015. Hybrid diffuse optical techniques for continuous hemodynamic measurement in gastrocnemius during plantar flexion exercise.. J Biomed Opt. 20(12):125006.

Nagarajan R, Peterson CA, Lowe JS, Wyatt SW, Tracy TS, Kern PA. 2015. Social network analysis to assess the impact of the CTSA on biomedical research grant collaboration.. Clin Transl Sci. 8(2):150-4.

2014

Su H, Xing F, Lee JD, Peterson CA, Yang L. 2014. Automatic Myonuclear Detection in Isolated Single Muscle Fibers Using Robust Ellipse Fitting and Sparse Representation.. IEEE/ACM Trans Comput Biol Bioinform. 11(4):714-26.

2013

Liu F, Fry CS, Mula J, Jackson JR, Lee JD, Peterson CA, Yang L. 2013. Automated fiber-type-specific cross-sectional area assessment and myonuclei counting in skeletal muscle.. J Appl Physiol (1985). 115(11):1714-24.

Mula J, Lee JD, Liu F, Yang L, Peterson CA. 2013. Automated image analysis of skeletal muscle fiber cross-sectional area.. J Appl Physiol (1985). 114(1):148-55.

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