User profiles for Andrey Puretskiy
Andrey PuretskiyLecturer, Engineering Fundamentals, University of Tennessee Verified email at utk.edu Cited by 176 |
Biodistribution and radiation dosimetry of LMI1195: first-in-human study of a novel 18F-labeled tracer for imaging myocardial innervation
…, YH Liu, R Sparks, A Puretskiy… - Journal of Nuclear …, 2014 - Soc Nuclear Med
A novel 18 F-labeled ligand for the norepinephrine transporter (N-[3-bromo-4-(3- 18 F-fluoro-propoxy)-benzyl]-guanidine
[LMI1195]) is in clinical development for mapping cardiac nerve …
[LMI1195]) is in clinical development for mapping cardiac nerve …
Survey of text visualization techniques
AA Puretskiy, GL Shutt, MW Berry - Text mining: applications …, 2010 - Wiley Online Library
This chapter explores several text visualization techniques and describes specific examples
of software that utilizes them. Visual postprocessing tools tailored for specific text mining …
of software that utilizes them. Visual postprocessing tools tailored for specific text mining …
Scenario discovery using nonnegative tensor factorization
In the relatively new field of visual analytics there is a great need for automated approaches
to both verify and discover the intentions and schemes of primary actors through time. Data …
to both verify and discover the intentions and schemes of primary actors through time. Data …
Nonnegative tensor factorization of biomedical literature for analysis of genomic data
Rapid growth of the biomedical literature related to genes and molecular pathways presents
a serious challenge for interpretation of genomic data. Previous work has focused on using …
a serious challenge for interpretation of genomic data. Previous work has focused on using …
[PDF][PDF] A fast algorithm for nonnegative tensor factorization using block coordinate descent and an active-set-type method
Nonnegative factorization of tensors plays an important role in the analysis of multi-dimensional
data in which each element is inherently nonnegative. It provides a meaningful lower …
data in which each element is inherently nonnegative. It provides a meaningful lower …
Radiation dosimetry of LMI1195, first-in-human study of a novel F-18 labeled tracer for imaging myocardial innervation
…, A Sinusas, J Brunetti, G Heller, R Sparks, A Puretskiy… - 2010 - Soc Nuclear Med
1432 Objectives LMI1195, a novel 18F ligand for the norepinephrine transporter (NET) is in
clinical development as for mapping the cardiac nerve terminal in vivo using positron …
clinical development as for mapping the cardiac nerve terminal in vivo using positron …
[HTML][HTML] Flipping Across the First Year Workshop
…, K Kit, RM Bennett, E McCave, AA Puretskiy - 14th Annual First-Year …, 2023 - peer.asee.org
Abstract The use of a flipped classroom pedagogy has gained significant momentum in
engineering education over the past decade. More instructors are taking on the challenge of …
engineering education over the past decade. More instructors are taking on the challenge of …
A visual approach to automated text mining and knowledge discovery
AA Puretskiy - 2010 - trace.tennessee.edu
The focus of this dissertation has been on improving the non-negative tensor factorization
technique of text mining. The improvements have been made in both pre-processing and post-…
technique of text mining. The improvements have been made in both pre-processing and post-…
OLINDA/EXM 2.0: a generational change
M Stabin, A Farmer, R Sparks, A Puretskiy - 2010 - Soc Nuclear Med
308 Objectives Major changes in decay data, anthropomorphic and biokinetic models are
implemented in a new member of the OLINDA/EXM internal dosimetry software series. …
implemented in a new member of the OLINDA/EXM internal dosimetry software series. …
Knowledge Discovery Using Nonnegative Tensor Factorization with Visual Analytics
AA Puretskiy, MW Berry - High-Performance Scientific Computing …, 2012 - Springer
Non-negative tensor factorization (NTF) is a technique that has been used effectively for the
purposes of analyzing large textual datasets. This article describes the improvements …
purposes of analyzing large textual datasets. This article describes the improvements …