[HTML][HTML] Weak localization of radiographic manifestations in pulmonary tuberculosis from chest x-ray: A systematic review

DW Feyisa, YM Ayano, TG Debelee, F Schwenker - Sensors, 2023 - mdpi.com
Pulmonary tuberculosis (PTB) is a bacterial infection that affects the lung. PTB remains one
of the infectious diseases with the highest global mortalities. Chest radiography is a …

[HTML][HTML] Interpretable machine learning techniques in ECG-based heart disease classification: a systematic review

YM Ayano, F Schwenker, BD Dufera, TG Debelee - Diagnostics, 2022 - mdpi.com
Heart disease is one of the leading causes of mortality throughout the world. Among the
different heart diagnosis techniques, an electrocardiogram (ECG) is the least expensive non …

Classification of cardiac disorders using weighted visibility graph features from ECG signals

G Kutluana, İ Türker - Biomedical Signal Processing and Control, 2024 - Elsevier
As universal expressions to describe complex systems, graphs are increasingly preferred as
a representation method in artificial intelligence. Visibility graphs enable converting time …

A literature review: ecg-based models for arrhythmia diagnosis using artificial intelligence techniques

A Boulif, B Ananou, M Ouladsine… - … and Biology Insights, 2023 - journals.sagepub.com
In the health care and medical domain, it has been proven challenging to diagnose correctly
many diseases with complicated and interferential symptoms, including arrhythmia …

Towards federated transfer learning in electrocardiogram signal analysis

W Chorney, H Wang - Computers in Biology and Medicine, 2024 - Elsevier
Modern methods in artificial intelligence perform very well on many healthcare datasets, at
times outperforming trained doctors. However, many assumptions made in model training …

MSW-Transformer: Multi-scale shifted windows transformer networks for 12-lead ECG classification

R Cheng, Z Zhuang, S Zhuang, L Xie, J Guo - arXiv preprint arXiv …, 2023 - arxiv.org
Automatic classification of electrocardiogram (ECG) signals plays a crucial role in the early
prevention and diagnosis of cardiovascular diseases. While ECG signals can be used for …

[HTML][HTML] Lightweight Model for Botnet Attack Detection in Software Defined Network-Orchestrated IoT

WG Negera, F Schwenker, TG Debelee, HM Melaku… - Applied Sciences, 2023 - mdpi.com
The Internet of things (IoT) is being used in a variety of industries, including agriculture, the
military, smart cities and smart grids, and personalized health care. It is also being used to …

A study on denoising with deep convolutional neural networks in spatial heterodyne spectroscopy

W Luo, S Ye, Z Zhang, S Liu, W Xiong, X Wang… - Journal of Quantitative …, 2024 - Elsevier
Spatial heterodyne spectroscopy is a hyperspectral remote sensing technology. With the
continuous improvement of signal detection accuracy, new methods are urgently needed to …

[HTML][HTML] Multimodal ECG heartbeat classification method based on a convolutional neural network embedded with FCA

F Zhou, D Fang - Scientific Reports, 2024 - nature.com
Arrhythmias are irregular heartbeat rhythms caused by various conditions. Automated ECG
signal classification aids in diagnosing and predicting arrhythmias. Current studies mostly …

[HTML][HTML] Dual view deep learning for enhanced breast cancer screening using mammography

SR Kebede, FG Waldamichael, TG Debelee… - Scientific Reports, 2024 - nature.com
Breast cancer has the highest incidence rate among women in Ethiopia compared to other
types of cancer. Unfortunately, many cases are detected at a stage where a cure is delayed …