J D Hazle
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Explore the profile of J D Hazle including associated specialties, affiliations and a list of published articles.
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46
Citations
1111
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Recent Articles
1.
Gates E, Weinberg J, Prabhu S, Lin J, Hamilton J, Hazle J, et al.
AJNR Am J Neuroradiol
. 2020 Nov;
42(1):102-108.
PMID: 33243897
Background And Purpose: Increased cellular density is a hallmark of gliomas, both in the bulk of the tumor and in areas of tumor infiltration into surrounding brain. Altered cellular density...
2.
Gates E, Lin J, Weinberg J, Prabhu S, Hamilton J, Hazle J, et al.
AJNR Am J Neuroradiol
. 2020 Feb;
41(3):400-407.
PMID: 32029466
Background And Purpose: Gliomas are highly heterogeneous tumors, and optimal treatment depends on identifying and locating the highest grade disease present. Imaging techniques for doing so are generally not validated...
3.
Khalaf A, Fuentes D, Morshid A, Kaseb A, Hassan M, Hazle J, et al.
Clin Radiol
. 2019 Sep;
74(12):974.e13-974.e20.
PMID: 31521326
Aim: To demonstrate the feasibility of correlating pre-therapeutic volumes and residual liver volume (RLV) with clinical outcomes: time to progression (TTP) and overall survival (OS) in hepatocellular carcinoma (HCC) treated...
4.
Thrower S, Kandala S, Fuentes D, Stefan W, Sowko N, Huang M, et al.
Phys Med Biol
. 2019 Aug;
64(19):194001.
PMID: 31422952
Superparamagnetic relaxometry (SPMR) exploits the unique magnetic properties of targeted superparamagnetic iron oxide nanoparticles (SPIOs) to detect small numbers of cancer cells. Reconstruction of the spatial distribution of cancer-bound nanoparticles...
5.
Elmohr M, Fuentes D, Habra M, Bhosale P, Qayyum A, Gates E, et al.
Clin Radiol
. 2019 Aug;
74(10):818.e1-818.e7.
PMID: 31362884
Aim: To compare the efficacy of computed tomography (CT) texture analysis and conventional evaluation by radiologists for differentiation between large adrenal adenomas and carcinomas. Materials And Methods: Quantitative CT texture...
6.
Lin J, Fuentes D, Chandler A, Prabhu S, Weinberg J, Baladandayuthapani V, et al.
AJNR Am J Neuroradiol
. 2017 Mar;
38(5):973-980.
PMID: 28279984
Background And Purpose: Clinical brain MR imaging registration algorithms are often made available by commercial vendors without figures of merit. The purpose of this study was to suggest a rational...
7.
Madankan R, Stefan W, Fahrenholtz S, MacLellan C, Hazle J, Stafford R, et al.
Phys Med Biol
. 2016 Dec;
62(1):214-245.
PMID: 27991449
A model-based information theoretic approach is presented to perform the task of magnetic resonance (MR) thermal image reconstruction from a limited number of observed samples on k-space. The key idea...
8.
Yeniaras E, Fuentes D, Fahrenholtz S, Weinberg J, Maier F, Hazle J, et al.
Int J Comput Assist Radiol Surg
. 2013 Oct;
9(4):659-67.
PMID: 24091853
Purpose: An open-source software system for planning magnetic resonance (MR)-guided laser-induced thermal therapy (MRgLITT) in brain is presented. The system was designed to provide a streamlined and operator-friendly graphical user...
9.
Fuentes D, Elliott A, Weinberg J, Shetty A, Hazle J, Stafford R
Ann Biomed Eng
. 2012 Aug;
41(1):100-11.
PMID: 22918665
Quantification of local variations in the optical properties of tumor tissue introduced by the presence of gold-silica nanoparticles (NP) presents significant opportunities in monitoring and control of NP-mediated laser induced...
10.
Fuentes D, Yung J, Hazle J, Weinberg J, Stafford R
IEEE Trans Med Imaging
. 2011 Dec;
31(4):984-94.
PMID: 22203706
The feasibility of using a stochastic form of Pennes bioheat model within a 3-D finite element based Kalman filter (KF) algorithm is critically evaluated for the ability to provide temperature...