Michail E. Klontzas

2.6k total citations · 1 hit paper
115 papers, 1.1k citations indexed

About

Michail E. Klontzas is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Michail E. Klontzas has authored 115 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Surgery, 46 papers in Radiology, Nuclear Medicine and Imaging and 30 papers in Biomedical Engineering. Recurrent topics in Michail E. Klontzas's work include Radiomics and Machine Learning in Medical Imaging (30 papers), Artificial Intelligence in Healthcare and Education (19 papers) and Advanced X-ray and CT Imaging (18 papers). Michail E. Klontzas is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (30 papers), Artificial Intelligence in Healthcare and Education (19 papers) and Advanced X-ray and CT Imaging (18 papers). Michail E. Klontzas collaborates with scholars based in Greece, Sweden and United Kingdom. Michail E. Klontzas's co-authors include Apostolos H. Karantanas, Evangelia E. Vassalou, Athanasios Mantalaris, Aristeidis Zibis, Manolis Heliotis, Eleftherios Tsiridis, Renato Cuocolo, Roberto Cannella, Lorenzo Ugga and Arnaldo Stanzione and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Industrial & Engineering Chemistry Research.

In The Last Decade

Michail E. Klontzas

102 papers receiving 1.1k citations

Hit Papers

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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.

Guiding AI in radiology: ESR’s recommendations for effective implementation of the European AI Act

2025 24 citations Elmar Kotter, Tugba Akinci D’Antonoli et al. Insights into Imaging profile →

Peers

Countries citing papers authored by Michail E. Klontzas

Since Specialization

Citations

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

Fields of papers citing papers by Michail E. Klontzas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michail E. Klontzas. 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 Michail E. Klontzas. The network helps show where Michail E. Klontzas may publish in the future.

Co-authorship network of co-authors of Michail E. Klontzas

This figure shows the co-authorship network connecting the top 25 collaborators of Michail E. Klontzas. A scholar is included among the top collaborators of Michail E. Klontzas 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 Michail E. Klontzas. Michail E. Klontzas 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

#	Work	Indexed citations
1	AI medical device post-market surveillance regulations: consensus recommendations by the European Society of Radiology 2025 ·Insights into Imaging ·Renato Cuocolo, David Bernardini, Daniel Pinto dos Santos, Michail E. Klontzas, Tugba Akinci D’Antonoli, Luís Curvo‐Semedo, (unknown), Merel Huisman, Elmar Kotter, Luis Martí‐Bonmatí, (unknown), (unknown), Konstantin Nikolaou, Maija Radziņa, Evis Sala, Susan C. Shelmerdine, (unknown), Michelle C. Williams, (unknown)	0
2	Foundation models for radiology: fundamentals, applications, opportunities, challenges, risks, and prospects 2025 ·Diagnostic and Interventional Radiology ·Tugba Akinci D’Antonoli, Christian Bluethgen, Renato Cuocolo, Michail E. Klontzas, Andrea Ponsiglione, Burak Koçak	3
3	ESR Essentials: common performance metrics in AI—practice recommendations by the European Society of Medical Imaging Informatics 2025 ·European Radiology ·Michail E. Klontzas, (unknown), Tugba Akinci D’Antonoli, Anna Andreychenko, Renato Cuocolo, Matthias Dietzel, Salvatore Gitto, (unknown), João Santinha, Federica Vernuccio, Jacob J. Visser, Merel Huisman	2
4	Radiomics enhance the prediction of endovascular treatment success for femoropopliteal chronic total occlusions: a proof-of-concept study 2025 ·European Journal of Radiology ·(unknown), (unknown), Nikolaos Galanakis, Elias Kehagias, Nikolaos Kontopodis, (unknown), Michail E. Klontzas	0
5	Radiomics vs. Deep Learning in Autism Classification Using Brain MRI: A Systematic Review 2025 ·Applied Sciences ·(unknown), Georgios Ioannidis, (unknown), Sotirios Bisdas, (unknown), Cleo Sgouropoulou, Michail E. Klontzas, Kostas Marias, (unknown)	0
6	Diagnostic performance of radiomics in prediction of Ki-67 index status in non-small cell lung cancer: A systematic review and meta-analysis 2024 ·Journal of medical imaging and radiation sciences ·Ramin Shahidi, (unknown), (unknown), Michail E. Klontzas, (unknown), (unknown), (unknown), Weelic Chong, (unknown), (unknown), (unknown), Hamidreza Sadeghsalehi, (unknown), Akram Farhadi, (unknown), Parnian Shobeiri, Houman Sotoudeh	5
7	Research training during radiology residency: findings from the ESR Radiology Trainee Forum survey 2024 ·Insights into Imaging ·Michail E. Klontzas, (unknown), Saif Afat, (unknown), Annemiek Snoeckx, Minerva Becker, (unknown)	1
8	Convolutional neural networks for the differentiation between benign and malignant renal tumors with a multicenter international computed tomography dataset 2024 ·Insights into Imaging ·Michail E. Klontzas, Georgios Kalarakis, (unknown), Thomas Papathomas, Apostolos H. Karantanas, Antonios Tzortzakakis	6
9	Performance of thoracic ultrasonography compared with chest radiography for the detection of rib fractures using computed tomography as a reference standard 2024 ·Skeletal Radiology ·Evangelia E. Vassalou, (unknown), Michail E. Klontzas, Eelco de Bree, Apostolos H. Karantanas	1
10	Machine Learning and Metabolomics Predict Mesenchymal Stem Cell Osteogenic Differentiation in 2D and 3D Cultures 2024 ·Journal of Functional Biomaterials ·Michail E. Klontzas, Spyros I. Vernardis, Aristea Batsali, (unknown), Nicki Panoskaltsis, Athanasios Mantalaris	3
11	Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions 2023 ·Diagnostic and Interventional Radiology ·Tugba Akinci D’Antonoli, Arnaldo Stanzione, Christian Bluethgen, Federica Vernuccio, Lorenzo Ugga, Michail E. Klontzas, Renato Cuocolo, Roberto Cannella, Burak Koçak	101
12	Radiomics for the Detection of Active Sacroiliitis Using MR Imaging 2023 ·Diagnostics ·(unknown), Michail E. Klontzas, (unknown), (unknown), (unknown), Apostolos H. Karantanas	6
13	Updating the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) for reporting AI research 2023 ·Nature Machine Intelligence ·Ali S. Tejani, Michail E. Klontzas, Anthony A. Gatti, John Mongan, Linda Moy, Seong Ho Park, Charles E. Kahn	9
14	Long-Term Outcomes of Ultrasound-Guided Hydrodistension for Adhesive Capsulitis: A Prospective Observational Study 2023 ·Tomography ·(unknown), Michail E. Klontzas, Evangelia E. Vassalou, Madalena Pimenta, Raquel Soares, Apostolos H. Karantanas	2
15	Ultrasound‐Guided Hydrodistension for Adhesive Capsulitis 2022 ·Journal of Ultrasound in Medicine ·Madalena Pimenta, Evangelia E. Vassalou, (unknown), Michail E. Klontzas, Isabel Faria‐Ramos, Apostolos H. Karantanas	4
16	Multiomics characterization of mesenchymal stromal cells cultured in monolayer and as aggregates 2020 ·Biotechnology and Bioengineering ·(unknown), Michail E. Klontzas, Athanasios Mantalaris, Robert E. Guldberg, Johnna S. Temenoff	17
17	Oxidized alginate hydrogels with the GHK peptide enhance cord blood mesenchymal stem cell osteogenesis: A paradigm for metabolomics-based evaluation of biomaterial design 2019 ·Acta Biomaterialia ·Michail E. Klontzas, Supachai Reakasame, Raquel Silva, (unknown), Spyros I. Vernardis, Robert J. Macfarlane, Manolis Heliotis, Eleftherios Tsiridis, Nicki Panoskaltsis, Aldo R. Boccaccini, Athanasios Mantalaris	68
18	Patient expectations and satisfaction following orthognathic surgery 2018 ·International Journal of Oral and Maxillofacial Surgery ·(unknown), (unknown), Michail E. Klontzas, (unknown), Manolis Heliotis	22
19	RGD‐functionalized polyurethane scaffolds promote umbilical cord blood mesenchymal stem cell expansion and osteogenic differentiation 2018 ·Journal of Tissue Engineering and Regenerative Medicine ·(unknown), Michail E. Klontzas, Mark C. Allenby, (unknown), Nicki Panoskaltsis, Athanasios Mantalaris	28
20	Fibronectin stimulates the osteogenic differentiation of murine embryonic stem cells 2015 ·Journal of Tissue Engineering and Regenerative Medicine ·Yunyi Kang, (unknown), Robert J MacFarlane, Michail E. Klontzas, Manolis Heliotis, Eleftherios Tsiridis, Athanasios Mantalaris	23

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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