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Deep Neural Network Augmentation: Generating Faces for Affect Analysis

International journal of computer vision, 2020-05, Vol.128 (5), p.1455-1484

2020

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Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

International journal of computer vision, 2019-06, Vol.127 (6-7), p.907-929

2019

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Deep neural architectures for prediction in healthcare

Complex & intelligent systems, 2018-06, Vol.4 (2), p.119-131

2018

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MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021, p.537-544

2021

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COVID-19 Detection from Computed Tomography Images Using Slice Processing Techniques and a Modified Xception Classifier

International journal of biomedical imaging, 2024-05, Vol.2024, p.1-9

2024

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BTDNet: A Multi-Modal Approach for Brain Tumor Radiogenomic Classification

Applied sciences, 2023-11, Vol.13 (21), p.11984

2023

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Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset

IEEE transactions on affective computing, 2021-07, Vol.12 (3), p.595-606

2021

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Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A Feasibility Study

Diagnostics (Basel), 2024-06, Vol.14 (13), p.1352

2024

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Analysing Affective Behavior in the second ABAW2 Competition

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021, p.3645-3653

2021

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Multi-Label Compound Expression Recognition: C-EXPR Database & Network

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.5589-5598

Kollias, Dimitrios

2023

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CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images

BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 2023-06, Vol.3 (2), p.100119, Article 100119

2023

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

Neurocomputing (Amsterdam), 2023-07, Vol.542, p.126244, Article 126244

2023

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ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022, p.2327-2335

Kollias, Dimitrios

2022

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ABAW: Learning from Synthetic Data & Multi-task Learning Challenges

Computer Vision – ECCV 2022 Workshops, p.157-172

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AI-MIA: COVID-19 Detection and Severity Analysis Through Medical Imaging

Computer Vision – ECCV 2022 Workshops, p.677-690

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Uncertainty-Guided Contrastive Learning For Single Source Domain Generalisation

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.6935-6939

2024

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VA-StarGAN: Continuous Affect Generation

Advanced Concepts for Intelligent Vision Systems, p.227-238

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Medical Image Segmentation: A Review of Modern Architectures

Computer Vision – ECCV 2022 Workshops, p.691-708

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Machine Learning for Predictive Modelling of Ambulance Calls

Electronics (Basel), 2021-02, Vol.10 (4), p.482

2021

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Common Corruptions for Evaluating and Enhancing Robustness in Air-to-Air Visual Object Detection

IEEE robotics and automation letters, 2024-07, Vol.9 (7), p.6688-6695

2024

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Assessment of Parkinson’s Disease Based on Deep Neural Networks

Engineering Applications of Neural Networks, p.391-403

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Aff-Wild: Valence and Arousal 'In-the-Wild' Challenge

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, p.1980-1987

2017

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Photorealistic Facial Synthesis in the Dimensional Affect Space

Computer Vision – ECCV 2018 Workshops, p.475-491

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MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022, p.2366-2374

2022

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Analysing Affective Behavior in the First ABAW 2020 Competition

2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), 2020, p.637-643

2020

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Deep Neural Network Augmentation: Generating Faces for Affect Analysis

Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

Deep neural architectures for prediction in healthcare

MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis

COVID-19 Detection from Computed Tomography Images Using Slice Processing Techniques and a Modified Xception Classifier

BTDNet: A Multi-Modal Approach for Brain Tumor Radiogenomic Classification

Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset

Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A Feasibility Study

Analysing Affective Behavior in the second ABAW2 Competition

Multi-Label Compound Expression Recognition: C-EXPR Database & Network

CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images

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

ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges

ABAW: Learning from Synthetic Data & Multi-task Learning Challenges

AI-MIA: COVID-19 Detection and Severity Analysis Through Medical Imaging

Uncertainty-Guided Contrastive Learning For Single Source Domain Generalisation

VA-StarGAN: Continuous Affect Generation

Medical Image Segmentation: A Review of Modern Architectures

Machine Learning for Predictive Modelling of Ambulance Calls

Common Corruptions for Evaluating and Enhancing Robustness in Air-to-Air Visual Object Detection

Assessment of Parkinson’s Disease Based on Deep Neural Networks

Aff-Wild: Valence and Arousal 'In-the-Wild' Challenge

Photorealistic Facial Synthesis in the Dimensional Affect Space

MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition

Analysing Affective Behavior in the First ABAW 2020 Competition

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