A diagnostic convolutional neural network for classifying muscle oxygenation signals across physical activity states in COVID-19 survivors and healthy people - Amsterdam 2025

Artificial intelligence, machine learning models and biomarkers for classification, prediction, diagnosis and early detection of respiratory diseases

Chair(s): Vitalii Poberezhets, Dimitrios Megaritis

Session type: Poster session

A diagnostic convolutional neural network for classifying muscle oxygenation signals across physical activity states in COVID-19 survivors and healthy people

Dimitrios Megaritis

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Deep learning model for segmentation of wheezing in the respiratory sound databases

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Artificial intellengence (AI) and Asthma

Sarang Patil

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A diagnostic convolutional neural network for classifying muscle oxygenation signals across physical activity states in COVID-19 survivors and healthy people

Dimitrios Megaritis

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Abstract

A cough sound-based deep learning algorithm for detection of chronic obstructive pulmonary disease with smartphones

Jingwen Huang

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Computational phenotyping of COVID-19: Unraveling clinical heterogeneity in a Tunisian cohort.

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CDN Connection Issue

The ERS Congress 2025, Amsterdam

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