Shonket Ray

GlaxoSmithKline (United States) — United States

Computer Science · Physical Sciences

7h-index493citations15works3.02yr avg
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Research Topics

AI in cancer detection(9), Digital Radiography and Breast Imaging(9), Radiomics and Machine Learning in Medical Imaging(9), Medical Imaging Techniques and Applications(4), Rheumatoid Arthritis Research and Therapies(2)

Publications15 total

AI automated radiographic scoring in rheumatoid arthritis: Shedding light on barriers to implementation through comprehensive evaluation
Seminars in Arthritis and Rheumatism·2025· 5 citedOpen Access
Prognostic modeling in early rheumatoid arthritis: reconsidering the predictive role of disease activity scores
Clinical Rheumatology·2024· 1 citedOpen Access
Artificial intelligence and the future of radiographic scoring in rheumatoid arthritis: a viewpoint
Arthritis Research & Therapy·2022· 38 citedOpen Access
Accurate and Interpretable Machine Learning for Transparent Pricing of\n Health Insurance Plans
arXiv (Cornell University)·2020· 1 citedOpen Access
Association between Breast Parenchymal Complexity and False-Positive Recall From Digital Mammography Versus Breast Tomosynthesis
Academic Radiology·2016· 4 citedOpen Access
Parameter optimization of parenchymal texture analysis for prediction of false-positive recalls from screening mammography
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2016· 1 cited
The Impact of Acquisition Dose on Quantitative Breast Density Estimation with Digital Mammography: Results from ACRIN PA 4006
Radiology·2016· 1 citedOpen Access
Parenchymal texture analysis in digital mammography: A fully automated pipeline for breast cancer risk assessment
Medical Physics·2015· 114 citedOpen Access
Parenchymal texture analysis in digital mammography: robust texture feature identification and equivalence across devices
Journal of Medical Imaging·2015· 26 citedOpen Access
A comparative analysis of 2D and 3D CAD for calcifications in digital breast tomosynthesis
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2015· 1 cited
Application of computer-extracted breast tissue texture features in predicting false-positive recalls from screening mammography
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2014· 2 cited
Analysis of breast CT lesions using computer-aided diagnosis: an application of neural networks on extracted morphologic and texture features
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2012· 10 cited
Contrast-enhanced Dedicated Breast CT: Initial Clinical Experience
Radiology·2010· 199 cited
Volume assessment accuracy in computed tomography: a phantom study
Journal of Applied Clinical Medical Physics·2010· 60 citedOpen Access
Comparison of two‐dimensional and three‐dimensional iterative watershed segmentation methods in hepatic tumor volumetrics
Medical Physics·2008· 30 citedOpen Access

Frequent Co-authors

Brad M. Keller(7), Emily F. Conant(6), Despina Kontos(6), Nicolas D. Prionas(3), John M. Boone(3), Alix Bird(3), Lauren Oakden‐Rayner(3), Susanna Proudman(3), Lyle J. Palmer(3), Jinbo Chen(3), Karen K. Lindfors(2), Laurel Beckett(2), Yuanjie Zheng(2), James C. Gee(2), Minyan Zeng(2), Mihir D. Wechalekar(2), Raymond J. Acciavatti(2), Andrew D. A. Maidment(2), Lin Chen(2), Shih-Ying Huang(1)