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<p>Dear colleagues,</p>
<p>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, <a
class="moz-txt-link-freetext" href="https://2025.ijcnn.org/"
moz-do-not-send="true">https://2025.ijcnn.org/</a>), to be
held in Rome, Italy, from 30 June to 5 July 2025. </p>
<p>We would appreciate if you forward this CfP to friends and
colleagues that might be interested.</p>
<p>///////////////////////////////////////////////////////////</p>
<p><b>SPECIAL SESSION on Advances in Deep Learning for
Biomedical Data Analysis</b></p>
<p>=== Scope and Topics ===</p>
<p>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.</p>
<p>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.</p>
<p>The main topics that are of interest to this special session
include, but are not limited to:</p>
- DL for biomedical signal analysis and processing (e.g., EEG,
ECG, EMG, EOG, …)<br>
- DL for medical image analysis and processing (e.g., MRI,
X-ray, PET scan, CT scan, …)<br>
- DL for diseases detection and diagnosis<br>
- DL for pandemics detection and forecasting<br>
- DL for biometrics<br>
- DL for health informatics<br>
- DL for e-health<br>
- DL for brain-computer interfaces<br>
- Related applications<br>
<p>=== IOMPORTANT DATES ===</p>
<p>- Submission deadline: January 15, 2025<br>
- Notification date: March 31, 2025<br>
- Camera-ready submission: May 1, 2025<br>
</p>
<p>=== ORGANIZERS ===</p>
Larbi Boubchir<br>
<i>Full Professor</i><br>
University of Paris 8, France<br>
<br>
Boubaker Daachi<br>
<i>Full Professor</i><br>
University of Paris 8, France<br>
<br>
<p>=== SUBMISSION GUIDELINE ===</p>
<p>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.</p>
<p>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.</p>
<p>All the accepted and presented papers will be published on
IEEE Xplore Digital Library and indexed by Scopus.</p>
<p>=== AUTHORS INFORMATIONS ===</p>
- Author instructions: <a class="moz-txt-link-freetext"
href="https://2025.ijcnn.org/authors/initial-author-instructions"
moz-do-not-send="true">https://2025.ijcnn.org/authors/initial-author-instructions</a><br>
- Paper submission guidelines: <a class="moz-txt-link-freetext"
href="https://cmt3.research.microsoft.com/IJCNN2025/"
moz-do-not-send="true">https://cmt3.research.microsoft.com/IJCNN2025/</a><br>
- Further information is available at: <a
class="moz-txt-link-freetext" href="https://2025.ijcnn.org/"
moz-do-not-send="true">https://2025.ijcnn.org/</a><br>
<p>=== CONTACT ===</p>
<p>Any inquiries can be directed to Prof. Larbi Boubchir : <a
class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:larbi.boubchir@univ-paris8.fr"
moz-do-not-send="true">larbi.boubchir@univ-paris8.fr</a></p>
<p>///////////////////////////////////////////////////////////</p>
Best regards,<br>
Prof. Larbi Boubchir<br>
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