Dr Dimitrios Kollias
Lecturer in Artificial Intelligence
School of Electronic Engineering and Computer Science
Queen Mary University of London
Queen Mary University of London
Research
multimodal artificial intelligence, machine and deep learning, trustworthy (fair/responsible/explainable/ethical) artificial intelligence, medical imaging, biomedical, healthcare
Interests
I am actively developing and have a strong interest in novel multimodal artificial intelligence, machine learning, and deep learning methods, with a particular focus on trustworthy AI—ensuring models are fair, responsible, explainable, and ethical—for healthcare and precision medicine.My research spans various pathologies, including cancer, cardiovascular diseases, brain injuries, periodontal diseases, COVID-19, and obesity/metabolic disorders, among others. Additionally, I have worked with a diverse range of tissues and organs, such as the intestine, liver, kidney, skin, bone, blood vessels, heart, blood-brain barrier, and nerve tissue.
Publications
Publications of specific relevance to Predictive <em>in vitro</em> Models2024
MRAC '24 Chairs' WelcomeTao J, Ghosh S, Lian Z, Cai Z, Schuller BW, Dhall A, Zhao G, Kollias D, Cambria E, Goecke R and Gedeon T
Mrac 2024 - Proceedings of The 2nd International Workshop On Multimodal and Responsible Affective Computing
28-10-2024
NEFELI: A deep-learning detection and tracking pipeline for enhancing autonomy in Advanced Air MobilityArsenos A, Petrongonas E, Filippopoulos O, Skliros C, Kollias D and Kollias S
Aerospace Science and Technology, Elsevier, 109613-109613.
24-09-2024
Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A Feasibility StudyMiah H, Kollias D, Pedone GL, Provan D and Chen F
Diagnostics, Mdpi vol. 14 (13)
26-06-2024
Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object DetectionArsenos A, Karampinis V, Petrongonas E, Skliros C, Kollias D, Kollias S and Voulodimos A
Ieee Robotics and Automation Letters, Institute of Electrical and Electronics Engineers
03-06-2024
COVID‐19 Detection from Computed Tomography Images Using Slice Processing Techniques and a Modified Xception ClassifierMorani K, Ayana EK, Kollias D and Unay D
International Journal of Biomedical Imaging, Hindawi vol. 2024 (1)
24-05-2024
Detecting COVID-19 in Computed Tomography Images: A Novel Approach Utilizing Segmentation with UNet Architecture, Lung Extraction, and CNN ClassifierMorani K, Ayana EK, Kollias D and Unay D
In Intelligent Computing, Springer Nature 450-465.
01-01-2024
2023
BTDNet: A Multi-Modal Approach for Brain Tumor Radiogenomic ClassificationKollias D, Vendal K, Gadhavi P and Russom S
Applied Sciences, Mdpi vol. 13 (21)
02-11-2023
A deep neural architecture for harmonizing 3-D input data analysis and decision making in medical imagingKollias D, Arsenos A and Kollias S
Neurocomputing, Elsevier vol. 542
01-07-2023
CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR imagesChowdhury D, Das A, Dey A, Banerjee S, Golec M, Kollias D, Kumar M, Kaur G, Kaur R, Arya RC, Wander G, Wander P, Wander GS, Parlikad AK, Gill SS and Uhlig S
Benchcouncil Transactions On Benchmarks, Standards and Evaluations, Elsevier Bv vol. 3 (2), 100119-100119.
01-06-2023
Medical Image Segmentation: A Review of Modern ArchitecturesSalpea N, Tzouveli P and Kollias D
In Computer Vision – Eccv 2022 Workshops, Springer Nature 691-708.
01-01-2023
2021
Machine Learning for Predictive Modelling of Ambulance CallsYu M, Kollias D, Wingate J, Siriwardena N and Kollias S
Electronics, Mdpi vol. 10 (4)
18-02-2021
2020
Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild DatasetKollias D and Zafeiriou S
Ieee Transactions On Affective Computing, Institute of Electrical and Electronics Engineers (Ieee) vol. 12 (3), 595-606.
04-08-2020
Deep Neural Network Augmentation: Generating Faces for Affect AnalysisKollias D, Cheng S, Ververas E, Kotsia I and Zafeiriou S
International Journal of Computer Vision, Springer Nature vol. 128 (5), 1455-1484.
22-02-2020
2019
Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and BeyondKollias D, Tzirakis P, Nicolaou MA, Papaioannou A, Zhao G, Schuller B, Kotsia I and Zafeiriou S
International Journal of Computer Vision, Springer Nature vol. 127 (6-7), 907-929.
13-02-2019
2018
Machine Learning for Neurodegenerative Disorder Diagnosis — Survey of Practices and Launch of Benchmark DatasetTagaris A, Kollias D, Stafylopatis A, Tagaris G and Kollias S
International Journal of Artificial Intelligence Tools, World Scientific Publishing vol. 27 (03)
01-05-2018
2017
Deep neural architectures for prediction in healthcareKollias D, Tagaris A, Stafylopatis A, Kollias S and Tagaris G
Complex & Intelligent Systems, Springer Nature vol. 4 (2), 119-131.
13-11-2017