Marios A. Gavrielides

AstraZeneca (United Kingdom) — United Kingdom

Medicine · Health Sciences

23h-index1.7kcitations85works0.02yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(45), Medical Imaging Techniques and Applications(29), AI in cancer detection(25), Lung Cancer Diagnosis and Treatment(22), Advanced X-ray and CT Imaging(16)

Publications85 total

Special Section Editorial: Artificial Intelligence for Medical Imaging in Clinical Practice
Journal of Medical Imaging·2023· 1 citedOpen Access
Usability of deep learning and H&E images predict disease outcome-emerging tool to optimize clinical trials
npj Precision Oncology·2022· 50 citedOpen Access
Analytical and Clinical Validation
2021· 1 cited
SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment
Journal of Medical Imaging·2021· 37 citedOpen Access
Selection of Representative Histologic Slides in Interobserver Reproducibility Studies: Insights from Expert Review for Ovarian Carcinoma Subtype Classification
Journal of Pathology Informatics·2021· 3 citedOpen Access
Data transformations for statistical assessment of quantitative imaging biomarkers: Application to lung nodule volumetry
Statistical Methods in Medical Research·2020· 2 cited
Clinical Decision Support for Ovarian Carcinoma Subtype Classification: A Pilot Observer Study With Pathology Trainees
Archives of Pathology & Laboratory Medicine·2019· 10 citedOpen Access
Data transformations for variance stabilization in the statistical assessment of quantitative imaging biomarkers
2019· 1 cited
Discrimination of Pulmonary Nodule Volume Change for Low- and High-contrast Tasks in a Phantom CT Study with Low-dose Protocols
Academic Radiology·2018· 6 cited
Coronary artery calcium quantification using contrast-enhanced dual-energy computed tomography scans in comparison with unenhanced single-energy scans
Physics in Medicine and Biology·2018· 8 citedOpen Access
Registration accuracy between whole slide images and glass slides in eeDAP workflow
2018· 3 cited
Quantitative characterization of liver tumor radiodensity in CT images: a phantom study between two scanners
Medical Imaging 2018: Computer-Aided Diagnosis·2018· 1 cited
Quantitative assessment of nonsolid pulmonary nodule volume with computed tomography in a phantom study
Quantitative Imaging in Medicine and Surgery·2017· 12 citedOpen Access
Estimation of non-solid lung nodule volume with low-dose CT protocols: effect of reconstruction algorithm and measurement method
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2017· 1 cited
The effects of iterative reconstruction in CT on low-contrast liver lesion volumetry: a phantom study
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2017· 2 cited
Volumetry of low‐contrast liver lesions with CT: Investigation of estimation uncertainties in a phantom study
Medical Physics·2016· 11 citedOpen Access
Impact of Reconstruction Algorithms and Gender-Associated Anatomy on Coronary Calcium Scoring with CT
Academic Radiology·2016· 11 citedOpen Access
Algorithm Variability in the Estimation of Lung Nodule Volume From Phantom CT Scans: Results of the QIBA 3A Public Challenge
Academic Radiology·2016· 21 citedOpen Access
Calcium scoring with dual-energy CT in men and women: an anthropomorphic phantom study
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2016
Detectable change of lung nodule volume with CT in a phantom study with high and low signal to background contrast
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2016· 3 cited
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Frequent Co-authors

Nicholas Petrick(27), Rongping Zeng(18), Kyle J. Myers(16), Berkman Sahiner(10), Stephen M. Hewitt(8), Lisa M. Kinnard(7), Brandon D. Gallas(6), Binsheng Zhao(6), Michael F. McNitt‐Gray(5), Andrew J. Buckler(4), Qin Li(4), Benjamin P. Berman(4), Maria Kallergi(3), Ioannis Pitas(3), Joseph Y. Lo(3), Charles Fenimore(3), Qin Li(3), Catherine Conway(3), Neil O’Flaherty(3), Tyler Keay(3)