3D Visualization and Interaction for Studying Respiratory Infections by Exploiting 2D CNN-Derived Attention Maps and Lung Models

Mohamed El Fateh Hadjarsi, Adnan Mustafic, Mahmoud Melkemi, Iyed Dhahri, Karim Hammoudi

2025

Abstract

Nowadays, research activities in the fields of precision health and biomedical image analysis are developing rapidly. In this context, research work on the analysis of respiratory infections is still extensively investigated. Few open source systems with the goal of visualizing and manipulating lungs with infections in 3D space are currently proposed. Such systems could become an important tool in the training of new radiologists. In the present work, we propose an approach that allows the user to visualize and interact with respiratory infections in 3D space by exploiting 2D CNN-derived attention maps. The source code will be made publicly available at https://github.com/Adn-an/3D-Visualization-and-Interaction-for-Studying-Respiratory-Infections-by-Exp loiting-2D-Attention-Maps.

Paper Citation

in Harvard Style

Hadjarsi M., Mustafic A., Melkemi M., Dhahri I. and Hammoudi K. (2025). 3D Visualization and Interaction for Studying Respiratory Infections by Exploiting 2D CNN-Derived Attention Maps and Lung Models. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOIMAGING; ISBN 978-989-758-731-3, SciTePress, pages 413-416. DOI: 10.5220/0013383000003911

in Bibtex Style

@conference{bioimaging25,
author={Mohamed Hadjarsi and Adnan Mustafic and Mahmoud Melkemi and Iyed Dhahri and Karim Hammoudi},
title={3D Visualization and Interaction for Studying Respiratory Infections by Exploiting 2D CNN-Derived Attention Maps and Lung Models},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOIMAGING},
year={2025},
pages={413-416},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013383000003911},
isbn={978-989-758-731-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOIMAGING
TI - 3D Visualization and Interaction for Studying Respiratory Infections by Exploiting 2D CNN-Derived Attention Maps and Lung Models
SN - 978-989-758-731-3
AU - Hadjarsi M.
AU - Mustafic A.
AU - Melkemi M.
AU - Dhahri I.
AU - Hammoudi K.
PY - 2025
SP - 413
EP - 416
DO - 10.5220/0013383000003911
PB - SciTePress