Marios Anthimopoulos

3.0k total citations · 1 hit paper
20 papers, 2.0k citations indexed

About

Marios Anthimopoulos is a scholar working on Computer Vision and Pattern Recognition, Public Health, Environmental and Occupational Health and Biomedical Engineering. According to data from OpenAlex, Marios Anthimopoulos has authored 20 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Public Health, Environmental and Occupational Health and 7 papers in Biomedical Engineering. Recurrent topics in Marios Anthimopoulos's work include Advanced Chemical Sensor Technologies (7 papers), Image Retrieval and Classification Techniques (7 papers) and Nutritional Studies and Diet (7 papers). Marios Anthimopoulos is often cited by papers focused on Advanced Chemical Sensor Technologies (7 papers), Image Retrieval and Classification Techniques (7 papers) and Nutritional Studies and Diet (7 papers). Marios Anthimopoulos collaborates with scholars based in Switzerland, Greece and United States. Marios Anthimopoulos's co-authors include Stavroula Mougiakakou, Stergios Christodoulidis, Andreas Christe, Lukas Ebner, Joachim Dehais, Peter Diem, Sergey Shevchik, Basilis Gatos, Ioannis Pratikakis and Thomas Geiser and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Journal of Medical Internet Research and IEEE Transactions on Multimedia.

In The Last Decade

Marios Anthimopoulos

20 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network

2016 919 citations Marios Anthimopoulos, Stergios Christodoulidis et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marios Anthimopoulos Switzerland	14	807	608	474	395	363	20	2.0k
Dorit D. Adler United States	33	1.5k 1.8×	1.5k 2.4×	576 1.2×	486 1.2×	254 0.7×	67	3.5k
Stergios Christodoulidis Switzerland	14	841 1.0×	601 1.0×	332 0.7×	432 1.1×	204 0.6×	22	1.6k
Stavroula Mougiakakou Switzerland	31	1.1k 1.4×	989 1.6×	652 1.4×	528 1.3×	562 1.5×	93	3.7k
Daniele Ravì Italy	14	407 0.5×	714 1.2×	764 1.6×	83 0.2×	430 1.2×	38	2.2k
Shandong Wu United States	28	1.2k 1.4×	1.3k 2.1×	653 1.4×	416 1.1×	227 0.6×	105	2.5k
Serena Yeung United States	18	542 0.7×	1.0k 1.7×	1.4k 2.9×	105 0.3×	501 1.4×	47	2.8k
Muhammad Abdul Kadir Bangladesh	10	1.7k 2.1×	1.1k 1.7×	344 0.7×	331 0.8×	192 0.5×	34	2.3k
Michael Yeung United States	20	602 0.7×	364 0.6×	169 0.4×	197 0.5×	160 0.4×	73	2.0k
Enzo Ferrante Argentina	19	812 1.0×	602 1.0×	563 1.2×	129 0.3×	291 0.8×	65	2.3k
Karim Lekadir Spain	23	930 1.2×	458 0.8×	383 0.8×	167 0.4×	483 1.3×	123	2.1k

Countries citing papers authored by Marios Anthimopoulos

Since Specialization

Citations

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

Fields of papers citing papers by Marios Anthimopoulos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marios Anthimopoulos

This figure shows the co-authorship network connecting the top 25 collaborators of Marios Anthimopoulos. A scholar is included among the top collaborators of Marios Anthimopoulos 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 Anthimopoulos. Marios Anthimopoulos 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

Christe, Andreas, Johannes T. Heverhagen, Thomas Geiser, et al.. (2019). Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images. Investigative Radiology. 54(10). 627–632. 107 indexed citations

Anthimopoulos, Marios, Stergios Christodoulidis, Lukas Ebner, et al.. (2018). Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks. IEEE Journal of Biomedical and Health Informatics. 23(2). 714–722. 105 indexed citations

Christodoulidis, Stergios, Marios Anthimopoulos, Lukas Ebner, Andreas Christe, & Stavroula Mougiakakou. (2016). Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis. IEEE Journal of Biomedical and Health Informatics. 21(1). 76–84. 215 indexed citations

Dehais, Joachim, Marios Anthimopoulos, Sergey Shevchik, et al.. (2016). Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study. Journal of Medical Internet Research. 18(5). e101–e101. 79 indexed citations

Dehais, Joachim, Marios Anthimopoulos, & Stavroula Mougiakakou. (2016). Food Image Segmentation for Dietary Assessment. 23–28. 36 indexed citations

Dehais, Joachim, Marios Anthimopoulos, Sergey Shevchik, & Stavroula Mougiakakou. (2016). Two-View 3D Reconstruction for Food Volume Estimation. IEEE Transactions on Multimedia. 19(5). 1090–1099. 99 indexed citations

Anthimopoulos, Marios, et al.. (2016). Smartphone-based urine strip analysis. 368–372. 10 indexed citations

Anthimopoulos, Marios, Joachim Dehais, & Stavroula Mougiakakou. (2016). Performance Evaluation Methods of Computer Vision Systems for Meal Assessment. 83–87. 1 indexed citations

Anthimopoulos, Marios, Stergios Christodoulidis, Lukas Ebner, Andreas Christe, & Stavroula Mougiakakou. (2016). Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network. IEEE Transactions on Medical Imaging. 35(5). 1207–1216. 919 indexed citations breakdown →

10.

Dehais, Joachim, Marios Anthimopoulos, & Stavroula Mougiakakou. (2016). GoCARB. 91–91. 7 indexed citations

11.

Agianniotis, Aristotelis, Marios Anthimopoulos, Elena Daskalaki, et al.. (2015). GoCARB in the Context of an Artificial Pancreas. Journal of Diabetes Science and Technology. 9(3). 549–555. 12 indexed citations

12.

Anthimopoulos, Marios, et al.. (2015). Computer Vision-Based Carbohydrate Estimation for Type 1 Patients With Diabetes Using Smartphones. Journal of Diabetes Science and Technology. 9(3). 507–515. 67 indexed citations

13.

Anthimopoulos, Marios, et al.. (2014). A Food Recognition System for Diabetic Patients Based on an Optimized Bag-of-Features Model. IEEE Journal of Biomedical and Health Informatics. 18(4). 1261–1271. 158 indexed citations

14.

Anthimopoulos, Marios, Stergios Christodoulidis, Andreas Christe, & Stavroula Mougiakakou. (2014). Classification of interstitial lung disease patterns using local DCT features and random forest. PubMed. 2014. 6040–6043. 37 indexed citations

15.

Anthimopoulos, Marios, Joachim Dehais, Peter Diem, & Stavroula Mougiakakou. (2013). Segmentation and recognition of multi-food meal images for carbohydrate counting. 1–4. 37 indexed citations

16.

Anthimopoulos, Marios, Basilis Gatos, & Ioannis Pratikakis. (2011). Detection of artificial and scene text in images and video frames. Pattern Analysis and Applications. 16(3). 431–446. 21 indexed citations

17.

Anthimopoulos, Marios, Basilis Gatos, & Ioannis Pratikakis. (2010). A two-stage scheme for text detection in video images. Image and Vision Computing. 28(9). 1413–1426. 52 indexed citations

18.

Anthimopoulos, Marios, et al.. (2010). A Pixel-Based Evaluation Method for Text Detection in Color Images. Zenodo (CERN European Organization for Nuclear Research). 9. 3264–3267. 3 indexed citations

19.

Anthimopoulos, Marios, Basilis Gatos, & Ioannis Pratikakis. (2008). A Hybrid System for Text Detection in Video Frames. 286–292. 25 indexed citations

20.

Anthimopoulos, Marios, Basilis Gatos, Ioannis Pratikakis, & Stavros Perantonis. (2007). Detecting text in video frames. International Conference on Signal Processing. 59(11). 39–44. 3 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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