Shonket Ray
Overview
Explore the profile of Shonket Ray including associated specialties, affiliations and a list of published articles.
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Articles
9
Citations
201
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0
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Recent Articles
1.
Bird A, Oakden-Rayner L, Smith L, Zeng M, Ray S, Proudman S, et al.
Clin Rheumatol
. 2024 Mar;
43(5):1503-1512.
PMID: 38536518
Objective: In this prospective cohort study, we provide several prognostic models to predict functional status as measured by the modified Health Assessment Questionnaire (mHAQ). The early adoption of the treat-to-target...
2.
Bird A, Oakden-Rayner L, McMaster C, Smith L, Zeng M, Wechalekar M, et al.
Arthritis Res Ther
. 2022 Dec;
24(1):268.
PMID: 36510330
Rheumatoid arthritis is an autoimmune condition that predominantly affects the synovial joints, causing joint destruction, pain, and disability. Historically, the standard for measuring the long-term efficacy of disease-modifying antirheumatic drugs...
3.
Ray S, Chen L, Keller B, Chen J, Conant E, Kontos D
Acad Radiol
. 2016 May;
23(8):977-86.
PMID: 27236612
Rationale And Objectives: We investigate associations between measures of mammographic parenchymal complexity and false-positive (FP) recall from screening with digital mammography (DM) versus digital breast tomosynthesis (DBT). Materials And Methods:...
4.
Chen L, Ray S, Keller B, Pertuz S, McDonald E, Conant E, et al.
Radiology
. 2016 Mar;
280(3):693-700.
PMID: 27002418
Purpose To investigate the impact of radiation dose on breast density estimation in digital mammography. Materials and Methods With institutional review board approval and Health Insurance Portability and Accountability Act...
5.
Keller B, Oustimov A, Wang Y, Chen J, Acciavatti R, Zheng Y, et al.
J Med Imaging (Bellingham)
. 2015 Jul;
2(2):024501.
PMID: 26158105
An analytical framework is presented for evaluating the equivalence of parenchymal texture features across different full-field digital mammography (FFDM) systems using a physical breast phantom. Phantom images (FOR PROCESSING) are...
6.
Zheng Y, Keller B, Ray S, Wang Y, Conant E, Gee J, et al.
Med Phys
. 2015 Jul;
42(7):4149-60.
PMID: 26133615
Purpose: Mammographic percent density (PD%) is known to be a strong risk factor for breast cancer. Recent studies also suggest that parenchymal texture features, which are more granular descriptors of...
7.
Prionas N, Lindfors K, Ray S, Huang S, Beckett L, Monsky W, et al.
Radiology
. 2010 Aug;
256(3):714-23.
PMID: 20720067
Purpose: To quantify contrast material enhancement of breast lesions scanned with dedicated breast computed tomography (CT) and to compare their conspicuity with that at unenhanced breast CT and mammography. Materials...
8.
Prionas N, Ray S, Boone J
J Appl Clin Med Phys
. 2010 Jul;
11(2):3037.
PMID: 20592693
There is a broad push in the cancer imaging community to eventually replace linear tumor measurements with three-dimensional evaluation of tumor volume. To evaluate the potential accuracy of volume measurement...
9.
Ray S, Hagge R, Gillen M, Cerejo M, Shakeri S, Beckett L, et al.
Med Phys
. 2009 Jan;
35(12):5869-81.
PMID: 19175143
In this work the authors compare the accuracy of two-dimensional (2D) and three-dimensional (3D) implementations of a computer-aided image segmentation method to that of physician observers (using manual outlining) for...