journal article Open Access Jan 01, 2025

Cerebral lateralization assessment: an explainable deep learning approach with channel attention mechanism

Marco A. Formoso Juan E. Arco Andrés Ortiz John Q. Gan I. Rodréguez-Rodríguez

IEEE Journal of Biomedical and Health Informatics pp. 1-14 · Institute of Electrical and Electronics Engineers (IEEE)

View at Publisher Save 10.1109/jbhi.2025.3583038

Topics

No keywords indexed for this article. Browse by subject →

Metrics

1

Citations

0

References

Details

Published: Jan 01, 2025
Pages: 1-14
License: View

Authors

Marco A. Formoso

Communications Engineering Department, University of Málaga, Málaga, Spain

Communications Engineering Department, University of Málaga, Málaga, Spain

Communications Engineering Department, University of Málaga, Málaga, Spain

School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K.

I. Rodréguez-Rodríguez

Communications Engineering Department, University of Málaga, Málaga, Spain

Cite This Article

Marco A. Formoso, Juan E. Arco, Andrés Ortiz, et al. (2025). Cerebral lateralization assessment: an explainable deep learning approach with channel attention mechanism. IEEE Journal of Biomedical and Health Informatics, 1-14. https://doi.org/10.1109/jbhi.2025.3583038

Related

You May Also Like

Deep Learning for Health Informatics

Daniele Ravì, Charence Wong · 2017

1,528 citations

DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices

Stamos Katsigiannis, Naeem Ramzan · 2018

952 citations

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

Moi Hoon Yap, Gerard Pons · 2018

873 citations

AI in Medical Imaging Informatics: Current Challenges and Future Directions

Andreas S. Panayides, Amir Amini · 2020

611 citations

Seven-Point Checklist and Skin Lesion Classification Using Multitask Multimodal Neural Nets

Jeremy Kawahara, Sara Daneshvar · 2019

438 citations