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Sotirios A. Tsaftaris

Sotirios A. Tsaftaris

D-Index & Metrics

Computer Science

D-Index
43
Citations
7690
World Ranking
7994
National Ranking
479

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

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

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

  • Multimodal MR Synthesis via Modality-Invariant Latent Representation

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

  • Finely-grained annotated datasets for image-based plant phenotyping

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

  • Leaf segmentation in plant phenotyping: a collation study

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

  • 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING

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

  • Anomalous video event detection using spatiotemporal context

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

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

    Massimo Minervini;Hanno Scharr;Sotirios A. Tsaftaris

  • 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING

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

  • Causal machine learning for healthcare and precision medicine

    Unknown

  • Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data

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

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

    Gabriele Valvano;Andrea Leo;Sotirios A. Tsaftaris

  • Disentangled representation learning in cardiac image analysis.

    Agisilaos Chartsias;Thomas Joyce;Giorgos Papanastasiou;Scott Semple

  • Image Analysis: The New Bottleneck in Plant Phenotyping

    Massimo Minervini;Hanno Scharr;Sotirios A. Tsaftaris

  • Machine Learning for Plant Phenotyping Needs Image Processing

    Sotirios A. Tsaftaris;Massimo Minervini;Hanno Scharr

  • Image-based plant phenotyping with incremental learning and active contours

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

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

    Agisilaos Chartsias;Giorgos Papanastasiou;Chengjia Wang;Scott Semple

  • 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

  • Learning to Count Leaves in Rosette Plants

    Mario Valerio Giuffrida;Massimo Minervini;Sotirios A. Tsaftaris

  • Simulation and Synthesis in Medical Imaging

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

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

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

  • Leveraging Multiple Datasets for Deep Leaf Counting

    Andrei Dobrescu;Mario Valerio Giuffrida;Sotirios A. Tsaftaris

  • 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

  • ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network

    Mario Valerio Giuffrida;Hanno Scharr;Sotirios A. Tsaftaris

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

    Avan Suinesiaputra;Pierre Ablin;Xenia Alba;Martino Alessandrini

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

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

Frequent Co-Authors

Aggelos K. Katsaggelos
Aggelos K. Katsaggelos Northwestern University
Michael G. Strintzis
Michael G. Strintzis Information Technologies Institute, Greece
Alessandro Gozzi
Alessandro Gozzi Italian Institute of Technology
Tal Arbel
Tal Arbel McGill University
Bjoern H. Menze
Bjoern H. Menze University of Zurich
Tony P. Pridmore
Tony P. Pridmore University of Nottingham
Angelo Bifone
Angelo Bifone University of Turin
Gianfranco Spalletta
Gianfranco Spalletta Baylor College of Medicine
Alejandro F. Frangi
Alejandro F. Frangi University of Manchester
Klaus H. Maier-Hein
Klaus H. Maier-Hein German Cancer Research Center

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