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Artificial Intelligence
 
Data Science
 
Algorithms

Archimedes NLP Theme and AUEB NLP Group at 89th Thessaloniki International Fair: Spotlight talk

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Dates
2025-09-13 18:00 - 18:30
Venue
Thessaloniki International Fair, Thessaloniki, Greece
Speaker: Georgios Moschovis, Academic Fellow at Archimedes, Athena Research Center, Greece, and PhD at the Athens University of Economics and Business (AUEB), Greece

Title: "An Image speaks a Thousand Words (in Medicine as well)"

Room: Ioannis Vellidis Convention Center (Leof. Stratou 3, Thessaloniki, Greece), Stand 7 Amphitheater (Ground Floor), General Secretariat for Research and Innovation, Hellenic Ministry of Development at the 89th Thessaloniki International Fair, Thessaloniki, Greece

Abstract: We present the methods developed by Archimedes Research Unit/AUEB NLP Group for medical image tagging, as well as automatically generating a diagnostic text from a set of medical images. Towards this objective, the first step is concept detection, which boils down to predicting the relevant concepts (tags) for medical images, whereas the end goal is caption generation. This demo is based on the best approaches developed by Archimedes Research Unit/AUEB NLP Group during its participation in the 9th edition of the ImageCLEFmedical Caption (concept Detection and Caption Prediction subtasks), but also as part of our collaboration with the Echocardiography Lab of the "Papageorgiou" General Hospital of Thessaloniki. More information can be found in this document.

Useful Links:
The paper from our participation in the 8th edition of ImageCLEF medical can be found here. Detailed information about our group can be found on its website. To see more about our work in medical imaging specifically, see also this announcement (in Greek) from AUEB, and this announcement (in English) from Archimedes Research Unit, Αthena Research Center, Greece.

Disclaimer:

Please note that our systems are tools to aid medical professionals complete their diagnostic pipeline in an increased throughput and are prone to error. By no means our AI systems aim to replace medical doctors and radiologists.

 
 

Vision

To position Greece as a leading player in AI and Data Science

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Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

NEWS

 
Archimedes Flagship Project in Cardiology and AI is Featured in the News!

Archimedes Flagship Project in Cardiology and AI is Featured in the News!

Archimedes Research Unit of the Athena Research Center, Greece, is featured in a recent article in Dnews. This article is about an Archimedes flagship project in cardiology and AI that aims to use "two-dimensional echocardiographic data to develop deep learning tools and improve the treatment of heart problems."

Best Paper Award at FAIEMA 202

Best Paper Award at FAIEMA 202

Vasileios Moustakas, PhD student at the School of Electrical and Computer Engineering - NTUA and Academic Fellow at Archimedes, Athena Research Center, Greece, Konstantinos Cheliotis and Anna Mylona, both MEng students at the School of Electrical and Computer Engineering - NTUA and interns at Archimedes, Athena Research Center, Vassilis Alimisis, Postdoctoral Researcher at Archimedes, Athena Research Center, and Paul Sotiriadis, Lead Researcher at Archimedes, Athena Research Center, and a Professor at the School of Electrical and Computer Engineering - NTUA, received the Best Paper Award (PhD Symposium) at the

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Giorgos Papanastasiou, Lead Researcher at the Archimedes Research Unit of the Athena Research Center, Greece,and Faculty Research Fellow at Edinburgh Imaging, at the University of Edinburgh, the Queen’s Medical Research Institute, Edinburgh, UK, has co-published a Nature Communications paper on "Clinical implications of bone marrow adiposity identified by phenome-wide association and Mendelian randomization in the UK Biobank."Prof. Papanastasiou mentions that "this project is a strong testament to the power of augmenting biological research with advanced AI and data science methods."

 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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