Connectionists: [CfP] IJCNN 2025 Special Session on "Advances in Deep Learning for Biomedical Data Analysis"

[Larbi Boubchir]

Dear colleagues,

We are organizing a Special Session on "Advances in Deep Learning for 
Biomedical Data Analysis" at the International Joint Conference on 
Neural Networks (IJCNN 2025, https://2025.ijcnn.org/), to be held in 
Rome, Italy, from 30 June to 5 July 2025.

We would appreciate if you forward this CfP to friends and colleagues 
that might be interested.

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*SPECIAL SESSION on Advances in Deep Learning for Biomedical Data Analysis*

=== Scope and Topics ===

Biomedical data analysis involves the treatment of the physiological 
electrical activities measured using sensors placed on a living thing, 
also the medical imaging, allowing it to provide a useful process for 
abnormality detection and diagnosis purposes. Recently, Deep Learning 
(DL) has received a great attention to solve difficult and complex 
problems related to biosignal and medical image processing, where the 
traditional signal/image processing algorithms and conventional machine 
learning techniques have shown their limitations to solve such problems. 
Indeed, the recent advances in this area have brought impressive 
progress to solve several practical and difficult problems in many 
fields including medicine, healthcare, e-health, neuroscience, 
brain-computer interface (BCI), neurofeedback, robotics, robotic 
exoskeletons, and biometrics, etc. In this context, advanced DL models, 
have shown their effectiveness to resolve various problems of detection, 
classification, clustering, prediction, segmentation, diagnosis, etc.; 
thus, becomes useful solutions to be investigated more for other open 
problems.

The aim of this special session is to bring together researchers and 
scientists in the fields of biomedical signal and image processing, 
artificial intelligence and artificial learning, to present and discuss 
the recent advances in DL algorithms and methods applied for biomedical 
data processing.

The main topics that are of interest to this special session include, 
but are not limited to:

- DL for biomedical signal analysis and processing (e.g., EEG, ECG, EMG, 
EOG, …)
- DL for medical image analysis and processing (e.g., MRI, X-ray, PET 
scan, CT scan, …)
- DL for diseases detection and diagnosis
- DL for pandemics detection and forecasting
- DL for biometrics
- DL for health informatics
- DL for e-health
- DL for brain-computer interfaces
- Related applications

=== ORGANIZERS ===

Larbi Boubchir
/Full Professor/
University of Paris 8, France

Boubaker Daachi
/Full Professor/
University of Paris 8, France

=== SUBMISSION GUIDELINE ===

Prospective authors are invited to submit complete papers of no more 
than eight (8) pages in the IEEE two-column conference proceedings 
format. Please follow the submission guideline from the IJCNN 2025 
submission website.

Special session papers are treated the same as regular conference 
papers. Please specify that your paper is for the Special Session on 
Advances in Deep Learning for Biomedical Data Analysis.

All the accepted and presented papers will be published on IEEE Xplore 
Digital Library and indexed by Scopus.

=== AUTHORS INFORMATIONS ===

- Author instructions: 
https://2025.ijcnn.org/authors/initial-author-instructions
- Paper submission guidelines: 
https://cmt3.research.microsoft.com/IJCNN2025/
- Further information is available at: https://2025.ijcnn.org/

=== CONTACT ===

Any inquiries can be directed to Prof. Larbi Boubchir : 
larbi.boubchir at univ-paris8.fr

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Best regards,
Prof. Larbi Boubchir
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