Marios A. Gavrielides

1.7k total citations
68 papers, 1.2k citations indexed

About

Marios A. Gavrielides is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Marios A. Gavrielides has authored 68 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Pulmonary and Respiratory Medicine and 21 papers in Artificial Intelligence. Recurrent topics in Marios A. Gavrielides's work include Radiomics and Machine Learning in Medical Imaging (36 papers), Medical Imaging Techniques and Applications (24 papers) and AI in cancer detection (21 papers). Marios A. Gavrielides is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (36 papers), Medical Imaging Techniques and Applications (24 papers) and AI in cancer detection (21 papers). Marios A. Gavrielides collaborates with scholars based in United States, Greece and United Kingdom. Marios A. Gavrielides's co-authors include Nicholas Petrick, Kyle J. Myers, Lisa M. Kinnard, Stephen M. Hewitt, Rongping Zeng, Brandon D. Gallas, Joseph Y. Lo, Maria Kallergi, Berkman Sahiner and Aldo Badano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and IEEE Transactions on Image Processing.

In The Last Decade

Marios A. Gavrielides

67 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marios A. Gavrielides United States	21	737	416	400	215	187	68	1.2k
Jana Lipková United States	14	662 0.9×	561 1.3×	118 0.3×	136 0.6×	138 0.7×	30	1.4k
Guy Nir Canada	14	501 0.7×	438 1.1×	307 0.8×	73 0.3×	177 0.9×	26	966
Ali Sadeghi‐Naini Canada	28	1.6k 2.1×	672 1.6×	281 0.7×	159 0.7×	121 0.6×	109	2.1k
William T. Tran Canada	27	1.1k 1.5×	486 1.2×	302 0.8×	315 1.5×	61 0.3×	86	1.9k
Alessandro Stefano Italy	25	880 1.2×	207 0.5×	431 1.1×	124 0.6×	183 1.0×	82	1.3k
Jonas Teuwen Netherlands	15	962 1.3×	671 1.6×	268 0.7×	120 0.6×	120 0.6×	62	1.4k
Kyle J. Lafata United States	16	602 0.8×	198 0.5×	333 0.8×	157 0.7×	48 0.3×	63	892
Robert MacDonald Australia	6	429 0.6×	517 1.2×	254 0.6×	159 0.7×	147 0.8×	15	986
Pallavi Tiwari United States	20	1.8k 2.4×	416 1.0×	661 1.7×	247 1.1×	166 0.9×	71	2.2k
Christina Hulsbergen‐van de Kaa Netherlands	19	1.0k 1.4×	607 1.5×	1.5k 3.8×	257 1.2×	169 0.9×	29	2.5k

Countries citing papers authored by Marios A. Gavrielides

Since Specialization

Citations

This map shows the geographic impact of Marios A. Gavrielides's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marios A. Gavrielides with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marios A. Gavrielides more than expected).

Fields of papers citing papers by Marios A. Gavrielides

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marios A. Gavrielides. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marios A. Gavrielides. The network helps show where Marios A. Gavrielides may publish in the future.

Co-authorship network of co-authors of Marios A. Gavrielides

This figure shows the co-authorship network connecting the top 25 collaborators of Marios A. Gavrielides. A scholar is included among the top collaborators of Marios A. Gavrielides based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marios A. Gavrielides. Marios A. Gavrielides is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mello‐Thoms, Claudia, et al.. (2023). Special Section Editorial: Artificial Intelligence for Medical Imaging in Clinical Practice. Journal of Medical Imaging. 10(5). 51801–51801.

Li, Qin, et al.. (2020). Data transformations for statistical assessment of quantitative imaging biomarkers: Application to lung nodule volumetry. Statistical Methods in Medical Research. 29(9). 2749–2763. 1 indexed citations

Gavrielides, Marios A., Meghan Miller, Ian S. Hagemann, et al.. (2019). Clinical Decision Support for Ovarian Carcinoma Subtype Classification: A Pilot Observer Study With Pathology Trainees. Archives of Pathology & Laboratory Medicine. 144(7). 869–877. 5 indexed citations

Berman, Benjamin P., Qin Li, Sarah E. McKenney, et al.. (2018). Quantitative characterization of liver tumor radiodensity in CT images: a phantom study between two scanners. 29. 125–125. 1 indexed citations

Li, Qin, Benjamin P. Berman, Marios A. Gavrielides, et al.. (2017). 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. 10134. 101340Z–101340Z. 1 indexed citations

Gavrielides, Marios A., Benjamin P. Berman, Qin Li, et al.. (2017). 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. 10132. 101322P–101322P. 1 indexed citations

Gavrielides, Marios A., Qin Li, Rongping Zeng, et al.. (2016). Volume estimation of multidensity nodules with thoracic computed tomography. Journal of Medical Imaging. 3(1). 13504–13504. 2 indexed citations

Li, Qin, Qiao Huang, Min Zong, et al.. (2016). Volumetry of low‐contrast liver lesions with CT: Investigation of estimation uncertainties in a phantom study. Medical Physics. 43(12). 6608–6620. 7 indexed citations

Gavrielides, Marios A., Brigitte M. Ronnett, Russell Vang, & Jeffrey D. Seidman. (2015). Inter-observer variability in the classification of ovarian cancer cell type using microscopy: a pilot study. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9420. 94200D–94200D. 2 indexed citations

10.

Gavrielides, Marios A., Brandon D. Gallas, & Stephen M. Hewitt. (2015). Uncertainty in the assessment of immunohistochemical staining with optical and digital microscopy: lessons from a reader study. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9420. 94200V–94200V. 3 indexed citations

11.

Treanor, Darren, Brandon D. Gallas, Marios A. Gavrielides, & Stephen M. Hewitt. (2015). Evaluating whole slide imaging: A working group opportunity. Journal of Pathology Informatics. 6(1). 4–4. 2 indexed citations

12.

Gavrielides, Marios A., Qin Li, Rongping Zeng, et al.. (2013). Minimum Detectable Change in Lung Nodule Volume in a Phantom CT Study. Academic Radiology. 20(11). 1364–1370. 16 indexed citations

13.

Li, Qin, Rongping Zeng, Kyle J. Myers, et al.. (2013). Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT. Lecture notes in computer science. 23. 584–593. 2 indexed citations

14.

Zeng, Rongping, Nicholas Petrick, Marios A. Gavrielides, & Kyle J. Myers. (2011). Approximations of noise covariance in multi-slice helical CT scans: impact on lung nodule size estimation. Physics in Medicine and Biology. 56(19). 6223–6242. 15 indexed citations

15.

Gavrielides, Marios A., Brandon D. Gallas, Petra H. Lenz, Aldo Badano, & Stephen M. Hewitt. (2011). Observer Variability in the Interpretation of HER2/neu Immunohistochemical Expression With Unaided and Computer-Aided Digital Microscopy. Archives of Pathology & Laboratory Medicine. 135(2). 233–242. 100 indexed citations

16.

Gavrielides, Marios A., Lisa M. Kinnard, Kyle J. Myers, et al.. (2010). A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantom. Optics Express. 18(14). 15244–15244. 51 indexed citations

17.

Meyer, Charles R., Samuel G. Armato, C.P. Fenimore, et al.. (2009). Quantitative Imaging to Assess Tumor Response to Therapy: Common Themes of Measurement, Truth Data, and Error Sources. Translational Oncology. 2(4). 198–210. 42 indexed citations

18.

Gavrielides, Marios A., Anita Frijhoff, Claudio J. Conti, & Marcelo G. Kazanietz. (2004). Protein Kinase C and Prostate Carcinogenesis: Targeting the Cell Cycle and Apoptotic Mechanisms. Current Drug Targets. 5(5). 431–443. 45 indexed citations

19.

Lo, Joseph Y., Marios A. Gavrielides, Mia K. Markey, & Jonathan L. Jesneck. (2003). Computer-aided classification of breast microcalcification clusters: merging of features from image processing and radiologists. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5032. 882–882. 33 indexed citations

20.

Kallergi, Maria, et al.. (1997). <title>Evaluation of a CCD-based film digitizer for digital mammography</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3032. 282–291. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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