Stavros Tsantis

714 total citations
23 papers, 569 citations indexed

About

Stavros Tsantis is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Biomedical Engineering. According to data from OpenAlex, Stavros Tsantis has authored 23 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Epidemiology and 6 papers in Biomedical Engineering. Recurrent topics in Stavros Tsantis's work include Liver Disease Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). Stavros Tsantis is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). Stavros Tsantis collaborates with scholars based in Greece, United States and Italy. Stavros Tsantis's co-authors include George C. Kagadis, Dimitrios Karnabatidis, Stavros Spiliοpoulos, George Nikiforidis, D. Cavouras, Nikos Dimitropoulos, Ilias Gatos, John D. Hazle, P.S. Zoumpoulis and Ioannis Theotokas and has published in prestigious journals such as Physics in Medicine and Biology, Medical Physics and BJOG An International Journal of Obstetrics & Gynaecology.

In The Last Decade

Stavros Tsantis

22 papers receiving 554 citations

Peers

Stavros Tsantis
Harshawn Malhi United States
Ge-Ge Wu China
Brent J. Liu United States
Jingxu Xu China
Jeevesh Kapur Singapore
Christopher P. Bridge United States
Dooman Arefan United States
Harshawn Malhi United States
Stavros Tsantis
Citations per year, relative to Stavros Tsantis Stavros Tsantis (= 1×) peers Harshawn Malhi

Countries citing papers authored by Stavros Tsantis

Since Specialization
Citations

This map shows the geographic impact of Stavros Tsantis'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 Stavros Tsantis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stavros Tsantis more than expected).

Fields of papers citing papers by Stavros Tsantis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stavros Tsantis. 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 Stavros Tsantis. The network helps show where Stavros Tsantis may publish in the future.

Co-authorship network of co-authors of Stavros Tsantis

This figure shows the co-authorship network connecting the top 25 collaborators of Stavros Tsantis. A scholar is included among the top collaborators of Stavros Tsantis 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 Stavros Tsantis. Stavros Tsantis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Gatos, Ilias, Paraskevi Katsakiori, Stavros Tsantis, et al.. (2024). Comparison of deep learning schemes in grading non-alcoholic fatty liver disease using B-mode ultrasound hepatorenal window images with liver biopsy as the gold standard. Physica Medica. 129. 104862–104862. 4 indexed citations
3.
Kagadis, George C., Ilias Gatos, Stavros Tsantis, et al.. (2020). Deep learning networks on chronic liver disease assessment with fine-tuning of shear wave elastography image sequences. Physics in Medicine and Biology. 65(21). 215027–215027. 19 indexed citations
4.
Kagadis, George C., Stavros Tsantis, Ilias Gatos, et al.. (2020). 2D perfusion DSA with an open-source, semi-automated, color-coded software for the quantification of foot perfusion following infrapopliteal angioplasty: a feasibility study. European Radiology Experimental. 4(1). 47–47. 7 indexed citations
5.
Gatos, Ilias, Stavros Tsantis, Stavros Spiliοpoulos, et al.. (2019). Temporal stability assessment in shear wave elasticity images validated by deep learning neural network for chronic liver disease fibrosis stage assessment. Medical Physics. 46(5). 2298–2309. 41 indexed citations
6.
Gatos, Ilias, Stavros Tsantis, Stavros Spiliοpoulos, et al.. (2017). A Machine-Learning Algorithm Toward Color Analysis for Chronic Liver Disease Classification, Employing Ultrasound Shear Wave Elastography. Ultrasound in Medicine & Biology. 43(9). 1797–1810. 82 indexed citations
7.
Gatos, Ilias, Stavros Tsantis, Stavros Spiliοpoulos, et al.. (2016). A new computer aided diagnosis system for evaluation of chronic liver disease with ultrasound shear wave elastography imaging. Medical Physics. 43(3). 1428–1436. 21 indexed citations
8.
Gatos, Ilias, Stavros Tsantis, Stavros Spiliοpoulos, et al.. (2015). A new automated quantification algorithm for the detection and evaluation of focal liver lesions with contrast‐enhanced ultrasound. Medical Physics. 42(7). 3948–3959. 43 indexed citations
9.
Gatos, Ilias, et al.. (2015). Development of a Support Vector Machine - Based Image Analysis System for Focal Liver Lesions Classification in Magnetic Resonance Images. Journal of Physics Conference Series. 633. 12116–12116. 6 indexed citations
10.
Tsantis, Stavros, et al.. (2014). Multiresolution edge detection using enhanced fuzzy c-means clustering for ultrasound image speckle reduction. Medical Physics. 41(7). 72903–72903. 9 indexed citations
11.
Kallidonis, Panagiotis, George C. Kagadis, Panagiotis Kitrou, et al.. (2014). Optical coherence tomography provides images similar to histology and allows the performance of extensive measurements of drug-eluting metal stents in animal ureters. Lasers in Medical Science. 29(4). 1453–1462. 1 indexed citations
12.
Tsantis, Stavros, et al.. (2014). Automatic quantification of contrast enhanced ultrasound liver imaging. Physica Medica. 30. e53–e54. 1 indexed citations
13.
Tsantis, Stavros, Stavros Spiliοpoulos, Paraskevi Katsakiori, et al.. (2013). Automatic quantitative analysis of in‐stent restenosis using FD‐OCT in vivo intra‐arterial imaging. Medical Physics. 40(6Part1). 63101–63101. 19 indexed citations
14.
Tsantis, Stavros, et al.. (2012). SU‐E‐I‐90: Fast and Robust Algorithm Towards Vessel Lumen and Stent Strut Detection in Optical Coherence Tomography. Medical Physics. 39(6Part5). 3645–3646. 3 indexed citations
15.
Tsantis, Stavros, George C. Kagadis, Konstantinos Katsanos, et al.. (2011). Automatic vessel lumen segmentation and stent strut detection in intravascular optical coherence tomography. Medical Physics. 39(1). 503–513. 85 indexed citations
16.
Tsantis, Stavros, Nikos Dimitropoulos, D. Cavouras, & George Nikiforidis. (2008). Morphological and wavelet features towards sonographic thyroid nodules evaluation. Computerized Medical Imaging and Graphics. 33(2). 91–99. 54 indexed citations
17.
Tsantis, Stavros, et al.. (2007). Inter-scale wavelet analysis for speckle reduction in thyroid ultrasound images. Computerized Medical Imaging and Graphics. 31(3). 117–127. 15 indexed citations
18.
Tsantis, Stavros, Nikos Dimitropoulos, D. Cavouras, & George Nikiforidis. (2006). A hybrid multi-scale model for thyroid nodule boundary detection on ultrasound images. Computer Methods and Programs in Biomedicine. 84(2-3). 86–98. 37 indexed citations
19.
Tsantis, Stavros, et al.. (2005). Development of a support vector machine-based image analysis system for assessing the thyroid nodule malignancy risk on ultrasound. Ultrasound in Medicine & Biology. 31(11). 1451–1459. 37 indexed citations
20.
Taylor, G M, Gary Mires, E.W. Abel, et al.. (2000). The development and validation of an algorithm for real‐time computerised fetal heart rate monitoring in labour. BJOG An International Journal of Obstetrics & Gynaecology. 107(9). 1130–1137. 37 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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