Georgios Petmezas

According to our database, Georgios Petmezas authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Enhanced heart failure mortality prediction through model-independent hybrid feature selection and explainable machine learning.

Georgios Petmezas, Vasileios E. Papageorgiou, Vassilios Vassilikos, Efstathios Pagourelias, Dimitrios Tachmatzidis, George Tsaklidis, Aggelos K. Katsaggelos, Nicos Maglaveras

J. Biomed. Informatics, 2025

XDF: A Large-Scale Dataset for Evaluating Video Deepfake Detection Across Multiple Manipulation Techniques.

Vazgken Vanian, Georgios Petmezas, Konstantinos Konstantoudakis, Dimitrios Zarpalas

Proceedings of the 4th ACM International Workshop on Multimedia AI against Disinformation, 2025

Efficient Lung Ultrasound Severity Scoring Using Dedicated Feature Extractor.

Jiaqi Guo, Yunnan Wu, Evangelos Kaimakamis, Georgios Petmezas, Vasileios E. Papageorgiou, Nicos Maglaveras, Aggelos K. Katsaggelos

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

MGAMNET: A Mask-Guided Attention Network for Deepfake Detection.

Vazgken Vanian, Georgios Petmezas, Eleana E. I. Almaloglou, Dimitrios Zarpalas

Proceedings of the 25th International Conference on Digital Signal Processing, 2025

ReenactFaces: A Specialized Dataset for Reenactment-Based Deepfake Detection.

Vazgken Vanian, Georgios Petmezas, Konstantinos Konstantoudakis, Dimitrios Zarpalas

Proceedings of the Advanced Information Networking and Applications, 2025

2024

A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters.

Yunan Wu, Bruno Miguel Machado Rocha, Evangelos Kaimakamis, Grigorios-Aris Cheimariotis, Georgios Petmezas, Evangelos Chatzis, Vassilis Kilintzis, Leandros Stefanopoulos, Diogo Pessoa, Alda Marques, Paulo Carvalho, Rui Pedro Paiva, Serafeim Kotoulas, Militsa Bitzani, Aggelos K. Katsaggelos, Nicos Maglaveras

Expert Syst. Appl., January, 2024

Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound.

Diogo Pessoa, Bruno Miguel Machado Rocha, Maria Gomes, Guilherme Silva Rodrigues, Georgios Petmezas, Grigorios-Aris Cheimariotis, Nicos Maglaveras, Alda Marques, Inéz Frerichs, Paulo de Carvalho, Rui Pedro Paiva

Biomed. Signal Process. Control., January, 2024

Recent advancements and applications of deep learning in heart failure: Α systematic review.

Georgios Petmezas, Vasileios E. Papageorgiou, Vassilios Vassilikos, Efstathios Pagourelias, George Tsaklidis, Aggelos K. Katsaggelos, Nicos Maglaveras

Comput. Biol. Medicine, 2024

2023

BRACETS: Bimodal repository of auscultation coupled with electrical impedance thoracic signals.

Diogo Pessoa, Bruno Moraes Rocha, Claas Strodthoff, Maria Gomes, Guilherme Silva Rodrigues, Georgios Petmezas, Grigorios-Aris Cheimariotis, Vassilis Kilintzis, Evangelos Kaimakamis, Nicos Maglaveras, Alda Marques, Inéz Frerichs, Paulo de Carvalho, Rui Pedro Paiva

Comput. Methods Programs Biomed., October, 2023

Pediatric Respiratory Sound Classification Using a Dual Input Deep Learning Architecture.

Diogo Pessoa, Georgios Petmezas, Vasileios E. Papageorgiou, Bruno M. Rocha, Leandros Stefanopoulos, Vassilis Kilintzis, Nicos Maglaveras, Inéz Frerichs, Paulo de Carvalho, Rui Pedro Paiva

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022

Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function.

Georgios Petmezas, Grigorios-Aris Cheimariotis, Leandros Stefanopoulos, Bruno Miguel Machado Rocha, Rui Pedro Paiva, Aggelos K. Katsaggelos, Nicos Maglaveras

Sensors, 2022

2021

Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets.

Georgios Petmezas, Kostas Haris, Leandros Stefanopoulos, Vassilis Kilintzis, Andreas Tzavelis, John A. Rogers, Aggelos K. Katsaggelos, Nicos Maglaveras

Biomed. Signal Process. Control., 2021