[HTML][HTML] Automated lung sound classification using a hybrid CNN-LSTM network and focal loss function

G Petmezas, GA Cheimariotis, L Stefanopoulos… - Sensors, 2022 - mdpi.com
Respiratory diseases constitute one of the leading causes of death worldwide and directly
affect the patient’s quality of life. Early diagnosis and patient monitoring, which conventionally …

[HTML][HTML] BRACETS: Bimodal repository of auscultation coupled with electrical impedance thoracic signals

…, G Rodrigues, G Petmezas, GA Cheimariotis… - Computer Methods and …, 2023 - Elsevier
Background and Objective: Respiratory diseases are among the most significant causes of
morbidity and mortality worldwide, causing substantial strain on society and health systems. …

[HTML][HTML] A Study of Machine Learning Regression Techniques for Non-Contact SpO2 Estimation from Infrared Motion-Magnified Facial Video

T Stogiannopoulos, GA Cheimariotis, N Mitianoudis - Information, 2023 - mdpi.com
This work explores the use of infrared low-cost cameras for monitoring peripheral oxygen
saturation (SpO 2 ), a vital sign that is particularly important for individuals with fragile health, …

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

…, BM Rocha, E Kaimakamis, GA Cheimariotis… - Expert Systems with …, 2024 - Elsevier
Assessing the health status of critically ill patients with COVID-19 and predicting their outcome
are highly challenging problems and one of the reasons for poor management of ICU …

ARCOCT: Automatic detection of lumen border in intravascular OCT images

GA Cheimariotis, YS Chatzizisis, VG Koutkias… - Computer Methods and …, 2017 - Elsevier
Background and Objective Intravascular optical coherence tomography (OCT) is an invaluable
tool for the detection of pathological features on the arterial wall and the investigation of …

[HTML][HTML] Automatic lung segmentation in functional SPECT images using active shape models trained on reference lung shapes from CT

GA Cheimariotis, M Al-Mashat, K Haris… - Annals of nuclear …, 2018 - Springer
Objective Image segmentation is an essential step in quantifying the extent of reduced or
absent lung function. The aim of this study is to develop and validate a new tool for automatic …

An ultrasonographic multiparametric carotid plaque risk index associated with cerebrovascular symptomatology: A study comparing color Doppler imaging and …

…, C Xerras, E Grisan, GA Cheimariotis… - American Journal …, 2019 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Various ultrasonographic features of carortid plaques
have been associated with the occurence of stroke, highlighting the need for multi-parametric …

Classification of electrical impedance tomography data using machine learning

D Pessoa, BM Rocha, GA Cheimariotis… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Patients suffering from pulmonary diseases typically exhibit pathological lung ventilation in
terms of homogeneity. Electrical Impedance Tomography (EIT) is a non- invasive imaging …

[HTML][HTML] Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound

…, G Rodrigues, G Petmezas, GA Cheimariotis… - … Signal Processing and …, 2024 - Elsevier
In recent years, computerized methods for analyzing respiratory function have gained increased
attention within the scientific community. This study proposes a deep-learning model to …

A non-contact SpO2 estimation using video magnification and infrared data

T Stogiannopoulos, GA Cheimariotis… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Peripheral oxygen saturation (SpO 2 ) is one important vital sign to be monitored in individuals,
whose health is fragile, such as the elderly. Contactless SpO 2 monitoring using RGB …