2026 Sotirios A. Tsaftaris: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	43	7993	7766	476	469	271	7690

Sotirios A. Tsaftaris publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Sotirios A. Tsaftaris sits on this spectrum.

32 publications 991+

This scientist: 271 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Sotirios A. Tsaftaris D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Sotirios A. Tsaftaris sits on this spectrum.

30 D-Index 131+

This scientist: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Sotirios A. Tsaftaris is affiliated with the University of Edinburgh in the United Kingdom. Their research spans across multiple domains within computer science and medicine, focusing primarily on artificial intelligence and medical imaging.

The scientist's main fields of study include:

Computer Science
Medicine

Their work extensively covers several subfields, notably:

Artificial Intelligence
Radiology, Nuclear Medicine and Imaging
Computer Vision and Pattern Recognition
Health Informatics
Plant Science

Key research topics addressed throughout their career consist of:

Radiomics and Machine Learning in Medical Imaging
Generative Adversarial Networks and Image Synthesis
AI in cancer detection
COVID-19 diagnosis using AI
Domain Adaptation and Few-Shot Learning
Artificial Intelligence in Healthcare and Education
Adversarial Robustness in Machine Learning

Sotirios A. Tsaftaris has contributed to a number of publications including peer-reviewed journal articles and books. Some notable recent papers include:

"AI in Medical Imaging Informatics: Current Challenges and Future Directions" (2020), published in IEEE Journal of Biomedical and Health Informatics
"Metrics reloaded: recommendations for image analysis validation" (2024), published in Nature Methods
"Causal machine learning for healthcare and precision medicine" (2022), published in Royal Society Open Science
"Understanding metric-related pitfalls in image analysis validation" (2024), published in Nature Methods
"DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis" (2020), published in Information Fusion

The scientist has published books with Springer Science+Business Media, including titles such as:

"Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health" (2021)
"Domain Adaptation and Representation Transfer" (2022)
"Domain Adaptation and Representation Transfer" (2023)
"Medical Applications with Disentanglements" (2023)

Frequently collaborating co-authors include:

Alison Q. O'Neil
Pedro Sanchez
Spyridon Thermos
Tal Arbel
Brennan Nichyporuk

The scientist's publications often appear in venues such as:

arXiv (Cornell University)
Medical Image Analysis
Lecture notes in computer science
The Journal of Machine Learning for Biomedical Imaging
IEEE Journal of Biomedical and Health Informatics

Best Publications

AI in Medical Imaging Informatics: Current Challenges and Future Directions

Andreas S. Panayides;Amir Amini;Nenad D. Filipovic;Ashish Sharma

581
Citations
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.

Víctor M. Campello;Polyxeni Gkontra;Cristian Izquierdo;Carlos Martín-Isla

416
Citations
Multimodal MR Synthesis via Modality-Invariant Latent Representation

Agisilaos Chartsias;Thomas Joyce;Mario Valerio Giuffrida;Sotirios A. Tsaftaris

325
Citations
Finely-grained annotated datasets for image-based plant phenotyping

Massimo Minervini;Andreas Fischbach;Hanno Scharr;Sotirios A. Tsaftaris

324
Citations
Leaf segmentation in plant phenotyping: a collation study

Hanno Scharr;Massimo Minervini;Andrew P. French;Christian Klukas

317
Citations
2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING

E. Soyak;Sotirios Tsaftaris;A. K. Katsaggelos

278
Citations
Anomalous video event detection using spatiotemporal context

Fan Jiang;Junsong Yuan;Sotirios A. Tsaftaris;Aggelos K. Katsaggelos

273
Citations
Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner]

Massimo Minervini;Hanno Scharr;Sotirios A. Tsaftaris

257
Citations
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING

E. Soyak;Sotirios Tsaftaris;A. K. Katsaggelos

251
Citations
Causal machine learning for healthcare and precision medicine

Unknown

201
Citations
Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data

Agisilaos Chartsias;Thomas Joyce;Rohan Dharmakumar;Sotirios A. Tsaftaris

194
Citations
Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates

Gabriele Valvano;Andrea Leo;Sotirios A. Tsaftaris

192
Citations
Disentangled representation learning in cardiac image analysis.

Agisilaos Chartsias;Thomas Joyce;Giorgos Papanastasiou;Scott Semple

182
Citations
Image Analysis: The New Bottleneck in Plant Phenotyping

Massimo Minervini;Hanno Scharr;Sotirios A. Tsaftaris

171
Citations
Machine Learning for Plant Phenotyping Needs Image Processing

Sotirios A. Tsaftaris;Massimo Minervini;Hanno Scharr

161
Citations
Image-based plant phenotyping with incremental learning and active contours

Massimo Minervini;Mohammed M. Abdelsamea;Sotirios A. Tsaftaris

159
Citations
Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation

Agisilaos Chartsias;Giorgos Papanastasiou;Chengjia Wang;Scott Semple

124
Citations
Phenotiki: an open software and hardware platform for affordable and easy image‐based phenotyping of rosette‐shaped plants

Massimo Minervini;Mario Valerio Giuffrida;Mario Valerio Giuffrida;Mario Valerio Giuffrida;Pierdomenico Perata;Sotirios A. Tsaftaris

118
Citations
Learning to Count Leaves in Rosette Plants

Mario Valerio Giuffrida;Massimo Minervini;Sotirios A. Tsaftaris

117
Citations
Simulation and Synthesis in Medical Imaging

Alejandro F. Frangi;Sotirios A. Tsaftaris;Jerry L. Prince

116
Citations
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis.

Chengjia Wang;Guang Yang;Giorgos Papanastasiou;Sotirios A. Tsaftaris

114
Citations
Leveraging Multiple Datasets for Deep Leaf Counting

Andrei Dobrescu;Mario Valerio Giuffrida;Sotirios A. Tsaftaris

96
Citations
Pheno-Deep Counter: a unified and versatile deep learning architecture for leaf counting.

Mario Valerio Giuffrida;Mario Valerio Giuffrida;Peter Doerner;Sotirios A. Tsaftaris;Sotirios A. Tsaftaris

94
Citations
ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network

Mario Valerio Giuffrida;Hanno Scharr;Sotirios A. Tsaftaris

90
Citations
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge

Avan Suinesiaputra;Pierre Ablin;Xenia Alba;Martino Alessandrini

90
Citations
2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)

E. Soyak;Sotirios Tsaftaris;A. K. Katsaggelos

5
Citations

Frequent Co-Authors

Aggelos K. Katsaggelos Northwestern University

Piotr J. Slomka Cedars-Sinai Medical Center

Damini Dey Cedars-Sinai Medical Center

David E. Newby University of Edinburgh

Matthias G. Friedrich McGill University

Michael G. Strintzis Information Technologies Institute, Greece

Alessandro Gozzi Italian Institute of Technology

Tony P. Pridmore University of Nottingham

Angelo Bifone University of Turin

Bjoern H. Menze University of Zurich

External Links

Personal website of Sotirios A. Tsaftaris

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