Connectionists: [CFP] Special Issue on "Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis" at MTAP

[Larbi Boubchir]

[Apologies if you receive multiple copies of this CFP]

*Call for Papers: Emerging Trends and Applications of Deep Learning for 
Biomedical Data Analysis *

https://www.springer.com/journal/11042/updates/24678968

*Summary and Scope*

Nowadays, Deep learning (DL) becomes an attractive research topic for 
many researchers from academia and industry communities. Indeed, DL 
algorithms have demonstrated their ability to train learning models for 
large-volume data as well as their performances compared to conventional 
machine learning algorithms. The DL approaches were studied and applied 
to resolve several complex problems in various research domains, such as 
computer vision, biometrics, brain-computer interfaces, robotics, and 
other fields. Several architectures of DL (e.g., supervised, 
unsupervised, reinforcement, and beyond) have been proposed in the 
literature as solutions for various research problems in data analysis 
related to detection, classification, recognition, prediction, 
decision-making, etc.

The special issue aims to solicit original research work covering novel 
algorithms, innovative methods, and meaningful applications based on the 
DL that can potentially lead to significant advances in biomedical data 
analysis.

The main topics include, but are not limited to, the following:

• DL for biomedical signal analysis and processing
• DL for medical image analysis and processing
• DL for diseases detection and diagnosis
• DL for pandemics detection and forecasting
• DL for biometrics
• DL in biomedical engineering
• DL for health informatics
• DL for brain-computer interfaces
• DL for neural rehabilitation engineering
• Related applications

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*Important Dates:*
Submission deadline: August 31, 2023
Reviewing deadline: October 15, 2023
Author revision deadline: November 15, 2023
Final notification date: December 15, 2023

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*Guest editors*
Prof. Larbi Boubchir (Lead GE) - University of Paris 8, France
Email: Larbi.boubchir at univ-paris8.fr

Prof. Elhadj Benkhelifa - Staffordshire University, UK
Email: Benkhelifa at staffs.ac.uk

Prof. Jaime Lloret - Universitat Politecnica de Valencia, Spain
Email: jlloret at dcom.upv.es

Prof. Boubaker Daachi - University of Paris 8, France
Email: boubaker.daachi at univ-paris8.fr

*Submission Guidelines:*
Authors should prepare their manuscript according to the Instructions 
for Authors available from the Multimedia Tools and Applications website 
<https://www.springer.com/journal/11042/>. Authors should submit through 
the online submission site at 
https://www.editorialmanager.com/mtap/default.aspx 
<https://www.editorialmanager.com/mtap/default.aspx> and select “SI 1239 
- Emerging Trends and Applications of Deep Learning for Biomedical Data” 
when they reach the “Article Type” step in the submission process. 
Submitted papers should present original, unpublished work, relevant to 
one of the topics of the special issue. All submitted papers will be 
evaluated on the basis of relevance, significance of contribution, 
technical quality, scholarship, and quality of presentation, by at least 
three independent reviewers. It is the policy of the journal that no 
submission, or substantially overlapping submission, be published or be 
under review at another journal or conference at any time during the 
review process.
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