Eleftherios Trivizakis

629 total citations
16 papers, 389 citations indexed

About

Eleftherios Trivizakis is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Eleftherios Trivizakis has authored 16 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Artificial Intelligence and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Eleftherios Trivizakis's work include Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (9 papers) and Digital Imaging for Blood Diseases (3 papers). Eleftherios Trivizakis is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (9 papers) and Digital Imaging for Blood Diseases (3 papers). Eleftherios Trivizakis collaborates with scholars based in Greece, Portugal and Montenegro. Eleftherios Trivizakis's co-authors include Kostas Marias, Apostolos H. Karantanas, Demetrios�� Spandidos, Aristidis Tsatsakis, Georgios Z. Papadakis, Georgios C. Manikis, Katerina Nikiforaki, Nickolas Papanikolaou, Antonios Drevelegas and Ioannis Souglakos and has published in prestigious journals such as Scientific Reports, Applied Sciences and International Journal of Oncology.

In The Last Decade

Eleftherios Trivizakis

14 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eleftherios Trivizakis Greece	9	267	191	56	50	48	16	389
Paul Desbordes France	9	285 1.1×	142 0.7×	104 1.9×	41 0.8×	57 1.2×	13	534
Jincao Yao China	10	247 0.9×	156 0.8×	48 0.9×	53 1.1×	66 1.4×	68	424
Polyxeni Gkontra Spain	14	240 0.9×	157 0.8×	41 0.7×	63 1.3×	94 2.0×	31	616
Yan‐Wei Lee Taiwan	7	304 1.1×	329 1.7×	56 1.0×	76 1.5×	16 0.3×	12	439
Khushboo Munir Italy	5	171 0.6×	190 1.0×	34 0.6×	73 1.5×	24 0.5×	6	396
Clinton J. Wang United States	4	341 1.3×	155 0.8×	63 1.1×	20 0.4×	65 1.4×	6	456
Siri Willems Belgium	11	342 1.3×	158 0.8×	97 1.7×	47 0.9×	75 1.6×	14	616
Ella Barkan Israel	8	178 0.7×	197 1.0×	54 1.0×	57 1.1×	54 1.1×	14	273
Gustav Müller‐Franzes Germany	11	316 1.2×	239 1.3×	70 1.3×	89 1.8×	99 2.1×	22	567

Countries citing papers authored by Eleftherios Trivizakis

Since Specialization

Citations

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

Fields of papers citing papers by Eleftherios Trivizakis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleftherios Trivizakis

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

All Works

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16 of 16 papers shown

Trivizakis, Eleftherios, Vassilis Koutoulidis, Lia A. Moulopoulos, et al.. (2025). Label-Free Machine Learning-Based Segmentation of Whole-Body Bone Marrow Imaging in Multiple Myeloma. 1–6.

Trivizakis, Eleftherios, Vassilis Koutoulidis, Lia A. Moulopoulos, et al.. (2023). Fully Automated Detection and Segmentation Pipeline for the Bone Marrow of the Lytic Bone of Multiple Myeloma Patients. 39–40. 1 indexed citations

Trivizakis, Eleftherios, et al.. (2023). Radiotranscriptomics of non-small cell lung carcinoma for assessing high-level clinical outcomes using a machine learning-derived multi-modal signature. BioMedical Engineering OnLine. 22(1). 125–125. 8 indexed citations

Trivizakis, Eleftherios, Vassilis Koutoulidis, Lia A. Moulopoulos, et al.. (2023). Ensemble of Heterogeneous Machine Learning Models with Multiple Inputs for Multi-Omics Analysis. 187–188. 1 indexed citations

Ioannidis, Georgios, et al.. (2023). A Machine Learning Framework for Hair Type Categorization to Optimize the Hair Removal Algorithm in Dermatoscopy Images. 121–122.

Trivizakis, Eleftherios, et al.. (2022). Enhancing cancer differentiation with synthetic MRI examinations via generative models: a systematic review. Insights into Imaging. 13(1). 188–188. 10 indexed citations

Ioannidis, Georgios, Sören Christensen, Katerina Nikiforaki, et al.. (2021). Cerebral CT Perfusion in Acute Stroke: The Effect of Lowering the Tube Load and Sampling Rate on the Reproducibility of Parametric Maps. Diagnostics. 11(6). 1121–1121. 5 indexed citations

Trivizakis, Eleftherios, Georgios Ioannidis, Ioannis Souglakos, et al.. (2021). A neural pathomics framework for classifying colorectal cancer histopathology images based on wavelet multi-scale texture analysis. Scientific Reports. 11(1). 15546–15546. 31 indexed citations

Trivizakis, Eleftherios, John Souglakos, Apostolos H. Karantanas, & Kostas Marias. (2021). Deep Radiotranscriptomics of Non-Small Cell Lung Carcinoma for Assessing Molecular and Histology Subtypes with a Data-Driven Analysis. Diagnostics. 11(12). 2383–2383. 17 indexed citations

10.

Ioannidis, Georgios, et al.. (2021). Pathomics and Deep Learning Classification of a Heterogeneous Fluorescence Histology Image Dataset. Applied Sciences. 11(9). 3796–3796. 7 indexed citations

11.

Trivizakis, Eleftherios, Georgios Z. Papadakis, Ioannis Souglakos, et al.. (2020). Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (Review). International Journal of Oncology. 57(1). 43–53. 55 indexed citations

12.

Trivizakis, Eleftherios, Nikos Tsiknakis, Evangelia E. Vassalou, et al.. (2020). Advancing Covid‑19 differentiation with a robust preprocessing and integration of multi‑institutional open‑repository computer tomography datasets for deep learning analysis. Experimental and Therapeutic Medicine. 20(5). 1–1. 7 indexed citations

13.

Tsiknakis, Nikos, Eleftherios Trivizakis, Evangelia E. Vassalou, et al.. (2020). Interpretable artificial intelligence framework for COVID‑19 screening on chest X‑rays. Experimental and Therapeutic Medicine. 20(2). 727–735. 83 indexed citations

14.

Giannakakis, Giorgos, Eleftherios Trivizakis, Manolis Tsiknakis, & Kostas Marias. (2019). A novel multi-kernel 1D convolutional neural network for stress recognition from ECG. 1–4. 23 indexed citations

15.

Trivizakis, Eleftherios, Georgios Ioannidis, Georgios Z. Papadakis, et al.. (2019). A novel deep learning architecture outperforming ‘off‑the‑shelf’ transfer learning and feature‑based methods in the automated assessment of mammographic breast density. Oncology Reports. 42(5). 2009–2015. 24 indexed citations

16.

Trivizakis, Eleftherios, et al.. (2018). Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor Differentiation. IEEE Journal of Biomedical and Health Informatics. 23(3). 923–930. 117 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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