Roy Harnish
Overview
Explore the profile of Roy Harnish including associated specialties, affiliations and a list of published articles.
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Articles
8
Citations
236
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0
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Recent Articles
1.
Arasu V, Kim P, Li W, Strand F, McHargue C, Harnish R, et al.
J Breast Imaging
. 2020 Aug;
2(4):352-360.
PMID: 32803155
Objective: Women with advanced HER2- breast cancer have limited treatment options. Breast MRI functional tumor volume (FTV) is used to predict pathologic complete response (pCR) to improve treatment efficacy. In...
2.
Lituiev D, Trivedi H, Panahiazar M, Norgeot B, Seo Y, Franc B, et al.
J Digit Imaging
. 2018 Nov;
32(2):228-233.
PMID: 30465142
Applying state-of-the-art machine learning techniques to medical images requires a thorough selection and normalization of input data. One of such steps in digital mammography screening for breast cancer is the...
3.
Ding Y, Sohn J, Kawczynski M, Trivedi H, Harnish R, Jenkins N, et al.
Radiology
. 2018 Nov;
290(2):456-464.
PMID: 30398430
Purpose To develop and validate a deep learning algorithm that predicts the final diagnosis of Alzheimer disease (AD), mild cognitive impairment, or neither at fluorine 18 (F) fluorodeoxyglucose (FDG) PET...
4.
Wilmes L, Li W, Shin H, Newitt D, Proctor E, Harnish R, et al.
Tomography
. 2018 Mar;
2(4):438-447.
PMID: 29527574
In this study, the prognostic significance of tumor metrics derived from diffusion tensor imaging (DTI) was evaluated in patients with locally advanced breast cancer undergoing neoadjuvant therapy. DTI and contrast-enhanced...
5.
Carballido-Gamio J, Bonaretti S, Saeed I, Harnish R, Recker R, Burghardt A, et al.
Quant Imaging Med Surg
. 2015 Oct;
5(4):552-68.
PMID: 26435919
Background: Quantitative computed tomography (QCT) imaging is the basis for multiple assessments of bone quality in the proximal femur, including volumetric bone mineral density (vBMD), tissue volume, estimation of bone...
6.
Harnish R, Prevrhal S, Alavi A, Zaidi H, Lang T
Ann Nucl Med
. 2014 Apr;
28(6):540-50.
PMID: 24710757
Background: To determine if metal artefact reduction (MAR) combined with a priori knowledge of prosthesis material composition can be applied to obtain CT-based attenuation maps with sufficient accuracy for quantitative...
7.
Carballido-Gamio J, Harnish R, Saeed I, Streeper T, Sigurdsson S, Amin S, et al.
Bone
. 2013 Aug;
57(1):290-9.
PMID: 23981658
Fractures of the proximal femur are the most devastating outcome of osteoporosis. It is generally understood that age-related changes in hip structure confer increased risk, but there have been few...
8.
Carballido-Gamio J, Harnish R, Saeed I, Streeper T, Sigurdsson S, Amin S, et al.
J Bone Miner Res
. 2012 Oct;
28(3):537-46.
PMID: 23109068
Hip fracture risk rises exponentially with age, but there is little knowledge about how fracture-related alterations in hip structure differ from those of aging. We employed computed tomography (CT) imaging...