Antonios Danelakis
About
Dr. Antonios Danelakis received his B.Sc. in Informatics and Telecommunications from the National and Kapodistrian University of Athens in 2008. He then earned his first M.Sc. in Computational Science from the same department in 2010, followed by a second M.Sc. in Medical Informatics in 2012. Dr. Danelakis completed his D.Phil. in Computer Vision in 2016.
Additionally, Antonios has worked as a Research Scientist and Postdoctoral Fellow at the Department of Computer and Information Science, Norwegian University of Science and Technology (NTNU), and as a Research Associate at the Institute of Informatics and Telecommunications at the National Centre for Scientific Research "Demokritos" (NCSRD).
Currently, Antonios is a Computer Vision Engineer and Researcher at the Norwegian Center for Headache Research (NorHead) and at NTNU’s Department of Computer Science. His research focuses on leveraging AI in fields such as medicine, image processing, and biometrics. Over the years, he has worked with various data modalities, including images, 3D models, and medical data of various types and structures. He has contributed to and coordinated several national and international funded projects.
Research
THALES - DUTH - 3D OBJECT RETRIEVAL
The purpose of the project was the research, design and implementation of original robust and effective methodologies for the retrieval of static and spatiotemporal three-dimensional (3D) objects. The project lasted 45 months (2012-2016).
OPTIMISING TIME-TO-FLY AND ENHANCING AIRPORT SECURITY (FLY-SEC)
FLY-SEC developed and demonstrated an innovative, integrated and end-to-end airport security process for passengers. FLY-SEC was a 39 month research and innovation action project (RIA) with a consortium of 11 partners.
SYSTEMIC ANALYSER IN NETWORK THREATS (SAINT)
SAINT project proposes to examine the problem of failures in cyber-security using a multidisciplinary approach that goes beyond the purely technical viewpoint. It was a 24 month research and innovation action project (RIA) with a consortium of 9 partners.
ROBUST RISK BASED SCREENING AND ALERT SYSTEM FOR PASSENGERS AND LUGGAGE (TRESSPASS)
The overall scope of TRESSPASS was to modernize the way the security checks at border crossing points are held out. TRESSPASS was a 42 month innovation action project (IA) with a consortium of 23 partners.
CONTINUOUS, AUTOMATIC, AND ROBUST MASS IDENTITY VERIFICATION (CARMA)
The aim of this project was to create a web-based application that can be used for online identity verification using a personal computer’s webcam. This was an internal initiative with the collaboration of the Technology Transfer Office of NTNU.
DETECTING DOCUMENT FRAUD AND IDENTITY ON THE FLY (D4FLY)
D4FLY concept was to identify, reduce and avoid vulnerabilities in the identity life-cycle of modern border management in order to reduce organized crime. D4FLY was a 36 month research and innovation action (RIA) project with a consortium of 19 partners.
MACHINE INTELLIGENCE IN HEADACHES (MI-HEAD)
MI-HEAD is a large-scale interdisciplinary research project combining clinical headache research, AI and machine learning. The overall goal of MI-HEAD is to develop machine learning models to improve diagnostics and treatment of headache disorders.
FEDERATED ETHICAL HEALTHCARE LEARNING SANDBOX (FEHLS)
The FEHLS project is funded by Nordic Innovation. It will use federated learning and ethical AI to extract insights from patient journals in different languages across Nordic healthcare systems. FEHLS aims to promote Responsible AI in the medical domain.
IMPROVING PREVENTIVE TREATMENT FOR MIGRAINE (MIGRI-NOR)
This project is for the patients who are going to start or change a drug as preventive treatment for migraine. The aim is to help clarify which drugs and doses are best for the treatment of migraine in different people using machine learning.
BioCer: en klinisk studie på migrene
BioCer er en klinisk studie som undersøker effekten av en ny migrenebehandling. Behandlingen er medikamentfri og tar i bruk biofeedback for å forebygge migreneanfall.
Publications
2025
-
Faisal, Fahim;
Danelakis, Antonios;
Bjørk, Marte-Helene;
Winsvold, Bendik Kristoffer Slagsvold;
Matharu, Manjit;
Nachev, Parashkev.
(2025)
Prediction of new-onset migraine using clinical-genotypic data from the HUNT Study: a machine learning analysis.
The Journal of Headache and Pain
Academic article
-
Danelakis, Antonios;
Kumelj, Tjasa;
Winsvold, Bendik S.;
Bjørk, Marte Helene;
Nachev, Parashkev;
Matharu, Manjit.
(2025)
Diagnosing migraine from genome-wide genotype data: a machine learning analysis.
Brain
Academic article
2024
-
Danelakis, Antonios;
Stubberud, Anker.
(2024)
Response to letter to the editor: "What predicts citation counts and translational impact in headache research? A machine learning analysis".
Cephalalgia
Letter to the editor
-
Danelakis, Antonios;
Langseth, Helge;
Nachev, Parashkev;
Nelson, Amy;
Bjørk, Marte-Helene;
Matharu, Manjit Singh.
(2024)
What predicts citation counts and translational impact in headache research? A machine learning analysis.
Cephalalgia
Academic article
2021
-
Lium, Ola;
Kwon, Yong Bin;
Danelakis, Antonios;
Theoharis, Theoharis.
(2021)
Robust 3D Face Reconstruction Using One/Two Facial Images.
Journal of Imaging
Academic article
-
Saiti, Evdokia;
Danelakis, Antonios;
Theoharis, Theoharis.
(2021)
Cross-time registration of 3D point clouds.
Computers & graphics
Academic article
2020
-
Danelakis, Antonios;
Theoharis, Theoharis.
(2020)
Image-based Somatotype as a Biometric Trait for Non-Collaborative Person Recognition at a Distance and On-The-Move.
Sensors
Academic article
2019
-
Veinidis, Christos;
Danelakis, Antonios;
Pratikakis, Ioannis;
Theoharis, Theoharis.
(2019)
Effective Descriptors for Human Action Retrieval from 3D Mesh Sequences.
International Journal of Image and Graphics
Academic article
2018
-
Danelakis, Antonios;
Theoharis, Theoharis;
Verganelakis, Dimitrios A.
(2018)
Survey of automated multiple sclerosis lesion segmentation techniques on magnetic resonance imaging.
Computerized Medical Imaging and Graphics
Academic literature review
-
Danelakis, Antonios;
Theoharis, Theoharis;
Pratikakis, Ioannis.
(2018)
Action unit detection in 3D facial videos with application in facial expression retrieval and recognition.
Multimedia Tools and Applications
Academic article
2016
-
Danelakis, Antonios;
Theoharis, Theoharis;
Pratikakis, Ioannis;
Perakis, Panagiotis.
(2016)
An effective methodology for dynamic 3D facial expression retrieval.
Pattern Recognition
Academic article
2013
-
Danelakis, Antonios;
Theoharis, Theoharis;
Verganelakis, Dimitrios A.
(2013)
A new user-friendly visual environment for breast
MRI data analysis.
Computer Methods and Programs in Biomedicine
Academic article
-
Danelakis, Antonios;
Mitrouli, Marilena;
Triantafyllou, Dimitrios.
(2013)
Blind image deconvolution using a banded matrix method.
Numerical Algorithms
Academic article
2012
-
Christou, Dimitrios;
Danelakis, Antonios;
Mitrouli, Marilena;
Triantafyllou, Dimitrios.
(2012)
A hybrid method for computing the intersection and tangency points of plane curves.
Applied Mathematics and Computation
Academic article
Journal publications
-
Faisal, Fahim;
Danelakis, Antonios;
Bjørk, Marte-Helene;
Winsvold, Bendik Kristoffer Slagsvold;
Matharu, Manjit;
Nachev, Parashkev.
(2025)
Prediction of new-onset migraine using clinical-genotypic data from the HUNT Study: a machine learning analysis.
The Journal of Headache and Pain
Academic article
-
Danelakis, Antonios;
Kumelj, Tjasa;
Winsvold, Bendik S.;
Bjørk, Marte Helene;
Nachev, Parashkev;
Matharu, Manjit.
(2025)
Diagnosing migraine from genome-wide genotype data: a machine learning analysis.
Brain
Academic article
-
Danelakis, Antonios;
Stubberud, Anker.
(2024)
Response to letter to the editor: "What predicts citation counts and translational impact in headache research? A machine learning analysis".
Cephalalgia
Letter to the editor
-
Danelakis, Antonios;
Langseth, Helge;
Nachev, Parashkev;
Nelson, Amy;
Bjørk, Marte-Helene;
Matharu, Manjit Singh.
(2024)
What predicts citation counts and translational impact in headache research? A machine learning analysis.
Cephalalgia
Academic article
-
Lium, Ola;
Kwon, Yong Bin;
Danelakis, Antonios;
Theoharis, Theoharis.
(2021)
Robust 3D Face Reconstruction Using One/Two Facial Images.
Journal of Imaging
Academic article
-
Saiti, Evdokia;
Danelakis, Antonios;
Theoharis, Theoharis.
(2021)
Cross-time registration of 3D point clouds.
Computers & graphics
Academic article
-
Danelakis, Antonios;
Theoharis, Theoharis.
(2020)
Image-based Somatotype as a Biometric Trait for Non-Collaborative Person Recognition at a Distance and On-The-Move.
Sensors
Academic article
-
Veinidis, Christos;
Danelakis, Antonios;
Pratikakis, Ioannis;
Theoharis, Theoharis.
(2019)
Effective Descriptors for Human Action Retrieval from 3D Mesh Sequences.
International Journal of Image and Graphics
Academic article
-
Danelakis, Antonios;
Theoharis, Theoharis;
Verganelakis, Dimitrios A.
(2018)
Survey of automated multiple sclerosis lesion segmentation techniques on magnetic resonance imaging.
Computerized Medical Imaging and Graphics
Academic literature review
-
Danelakis, Antonios;
Theoharis, Theoharis;
Pratikakis, Ioannis.
(2018)
Action unit detection in 3D facial videos with application in facial expression retrieval and recognition.
Multimedia Tools and Applications
Academic article
-
Danelakis, Antonios;
Theoharis, Theoharis;
Pratikakis, Ioannis;
Perakis, Panagiotis.
(2016)
An effective methodology for dynamic 3D facial expression retrieval.
Pattern Recognition
Academic article
-
Danelakis, Antonios;
Theoharis, Theoharis;
Verganelakis, Dimitrios A.
(2013)
A new user-friendly visual environment for breast
MRI data analysis.
Computer Methods and Programs in Biomedicine
Academic article
-
Danelakis, Antonios;
Mitrouli, Marilena;
Triantafyllou, Dimitrios.
(2013)
Blind image deconvolution using a banded matrix method.
Numerical Algorithms
Academic article
-
Christou, Dimitrios;
Danelakis, Antonios;
Mitrouli, Marilena;
Triantafyllou, Dimitrios.
(2012)
A hybrid method for computing the intersection and tangency points of plane curves.
Applied Mathematics and Computation
Academic article
Teaching
- 09/2012-01/2016 Lab Lecturer, National & Kapodistrian University of Athens (NKUA), Department of Informatics & Telecommunications (DIT):
- Graphics Programming : Lab in OpenGL.
Supervision
- 09/2023-06/2024 Master Thesis Supervision, Norwegian University of Science & Technology (NTNU), Department of Computer Science (IDI) for the following project:
- Cross-modal 3D-2D facial verification through sibling networks.
- 09/2020-06/2022 Master Thesis Supervision, Norwegian University of Science & Technology (NTNU), Department of Computer Science (IDI) for the following projects:
- 3D facial reconstruction from front and side images.
- 3D face reconstruction based on a single input image.
- Mesh-based 3D face recognition using geometric deep learning.
- 3D face tracking using geometric deep learning.
- 09/2020-06/2022 Specialization project supervision, Norwegian University of Science & Technology (NTNU), Department of Computer Science (IDI) for the following projects:
- Continuous transformer-based facial recognition.
- 3D-to-2D Facial Recognition based on Geometric Deep Learning.
- 09/2019-11/2020 Master Thesis Supervision, National & Kapodistrian University of Athens (NKUA), Department of Informatics & Telecommunications (DIT) for the following project:
- Assessing the URxD 3D face recognition algorithm on synthetic facial data.
Outreach
2024
-
Academic lectureDanelakis, Antonios; Stubberud, Anker; Winsvold, Bendik Kristoffer Slagsvold; bjørk, marte helene; Giles, Dominic; Nachev, Parashkev. (2024) Machine learning versus polygenic risk scoring as migraine predictors based on genome-wide genotype data. The Migraine Trust Migraine Trust International Symposium (MTIS) 2024 , London 2024-08-05 - 2024-08-08
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Academic lectureDanelakis, Antonios; Abildsnes, Håkon Kvisle; Faisal, Fahim; Winsvold, Bendik Kristoffer Slagsvold; bjørk, marte helene; Giles, Dominic. (2024) Machine learning can predict migraine from genotype and non-headache clinical data with high accuracy. European Headache Federation European Headache Congress (EHC) 2024 , Rotterdam 2024-12-04 - 2024-12-07
2021
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Academic lectureChen, Lulu; Boyle, Jonathan R; Danelakis, Antonios; Ferryman, James; Ferstl, Simone; Gicic, Damjan. (2021) D4FLY Multimodal Biometric Database: multimodal fusion evaluation envisaging on-the-move biometric-based border control. ΙΕΕΕ 2021 17th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) 2021-11-16 - 2021-11-19
2015
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LectureDanelakis, Antonios; Theoharis, Theoharis; Pratikakis, Ioannis. (2015) A spatio-temporal descriptor for dynamic 3 D facial expression retrieval and recognition. Proceedings of the 2015 Eurographics Workshop on 3D Object Retrieval 2015-05-02 - 2015-05-03
2012
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LectureDanelakis, Antonios; Theoharis, Theoharis; Pratikakis, Ioannis. (2012) 3d mesh video retrieval: A survey. 3DTV-Conference: The True Vision-Capture, Transmission and Display of 3D Video (3DTV-CON) 2012-10-15 - 2012-10-17