Transformers in medical imaging: A survey

F Shamshad, S Khan, SW Zamir, MH Khan… - Medical Image …, 2023 - Elsevier
Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …

Advances in medical image analysis with vision transformers: a comprehensive review

R Azad, A Kazerouni, M Heidari, EK Aghdam… - Medical Image …, 2024 - Elsevier
The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …

The 6th affective behavior analysis in-the-wild (abaw) competition

D Kollias, P Tzirakis, A Cowen… - Proceedings of the …, 2024 - openaccess.thecvf.com
This paper describes the 6th Affective Behavior Analysis in-the-wild (ABAW) Competition
which is part of the respective Workshop held in conjunction with IEEE CVPR 2024. The 6th …

Domain Adaptation Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans

D Kollias, A Arsenos, S Kollias - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
The paper presents the DEF-AI-MIA COV19D Competition which is organized in the
framework of the'Domain adaptation Explainability Fairness in AI for Medical Image Analysis …

Vision Transformers in medical computer vision—A contemplative retrospection

A Parvaiz, MA Khalid, R Zafar, H Ameer, M Ali… - … Applications of Artificial …, 2023 - Elsevier
Abstract Vision Transformers (ViTs), with the magnificent potential to unravel the information
contained within images, have evolved as one of the most contemporary and dominant …

Analysing affective behavior in the second abaw2 competition

D Kollias, S Zafeiriou - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Abstract The Affective Behavior Analysis in-the-wild (ABAW2) 2021 Competition is the
second Competition-following the first very successful ABAW Competition held in …

Ai-mia: Covid-19 detection and severity analysis through medical imaging

D Kollias, A Arsenos, S Kollias - European Conference on Computer …, 2022 - Springer
This paper presents the baseline approach for the organized 2nd Covid-19 Competition,
occurring in the framework of the AIMIA Workshop in the European Conference on …

Medical image segmentation: A review of modern architectures

N Salpea, P Tzouveli, D Kollias - European Conference on Computer …, 2022 - Springer
Medical image segmentation involves identifying regions of interest in medical images. In
modern times, there is a great need to develop robust computer vision algorithms to perform …

A deep neural architecture for harmonizing 3-d input data analysis and decision making in medical imaging

D Kollias, A Arsenos, S Kollias - Neurocomputing, 2023 - Elsevier
Harmonizing the analysis of data, especially of 3-D image volumes, consisting of different
number of slices and annotated per volume, is a significant problem in training and using …

Mixaugment & mixup: Augmentation methods for facial expression recognition

A Psaroudakis, D Kollias - … of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
Abstract Automatic Facial Expression Recognition (FER) has attracted increasing attention
in the last 20 years since facial expressions play a central role in human communication …