<!DOCTYPE html>
<html>
  <head>

    <meta http-equiv="content-type" content="text/html; charset=UTF-8">
  </head>
  <body>
    <div class="widget-content">
      <div>
        <p><font size="2"><u>[Apologies for multiple postings]</u></font></p>
        <p><span style="font-size: small;">The International Workshop on
            Deep Learning for Biomedical Big Data Analysis (DL4BBDA)
            will be held in Macau, China, from 8 to 11 december 2025, in
            conjunction with the IEEE International Conference on Big
            Data (<a
              href="https://conferences.cis.um.edu.mo/ieeebigdata2025/">IEEE
              BigData 2025</a>).</span></p>
        <p><span style="color: #008080; font-size: small;"><a class="moz-txt-link-freetext" href="https://dl4bbda2025.sciencesconf.org/">https://dl4bbda2025.sciencesconf.org/</a></span></p>
        <p><span style="color: #008080; font-size: small;"><strong>Overview</strong></span></p>
        <p style="text-align: justify;"><span style="font-size: small;">Due
            to growing innovations in the biomedical research field,
            substantial huge volumes of data are generated needing to be
            explored, analyzed and processed using advanced algorithms
            and techniques. In artificial intelligence, Deep learning
            (DL) has received a great attention to solve difficult and
            complex problems in various domains. Its ability to train
            learning models for large-volume data as well as their
            performances compared to conventional machine learning
            algorithms, as made it a major asset. This workshop aims to
            present and discuss the recent advances in deep learning for
            biomedical data analysis and processing. It is an
            opportunity to bring together academic and industrial
            scientists to discuss recent advances.</span></p>
        <p style="text-align: justify;"><span
            style="color: #008080; font-size: small;"><strong>Topics of
              interest include, but are not limited to, the following:</strong></span></p>
        <p><span style="font-size: small;">- DL for biomedical signal
            analysis and processing (e.g., EEG, EMG, ECG, EOG, …)</span><br>
          <span style="font-size: small;">- DL for medical image
            analysis and processing (e.g., CT, MRI, fMRI, PET, SPECT,
            DTI, …)</span><br>
          <span style="font-size: small;">- DL for diseases detection
            and diagnosis (e.g., Epileptic seizure, Alzheimer, Sleep
            disorders, …)</span><br>
          <span style="font-size: small;">- DL for pandemics detection
            and forecasting</span><br>
          <span style="font-size: small;">- DL for biometrics</span><br>
          <span style="font-size: small;">- DL in biomedical engineering</span><br>
          <span style="font-size: small;">- DL for health informatics
            (healthcare, e-health, m-health, telehealth, …)</span><br>
          <span style="font-size: small;">- DL for brain-computer
            interfaces</span><br>
          <span style="font-size: small;">- DL for neural rehabilitation
            engineering</span><br>
          <span style="font-size: small;">- Generative AI in biomedical
            research</span><br>
          <span style="font-size: small;">- Related applications</span></p>
        <p><span style="color: #008080; font-size: small;"><strong>Important
              Dates</strong></span></p>
        <p><span style="font-size: small;"><span style="color: #ff0000;"><strong>Oct.
                26, 2025</strong> (11:59 pm CST):</span> Due date for
            full workshop papers submission</span><br>
          <span style="font-size: small;"><span style="color: #ff0000;">Nov.
              15, 2025:</span> Notification of paper acceptance to
            authors</span><br>
          <span style="font-size: small;"><span style="color: #ff0000;">Nov.
              23, 2025:</span> Camera-ready of accepted papers</span><br>
          <span style="font-size: small;"><span style="color: #ff0000;">Dec
              8-11, 2025:</span> Workshops</span></p>
        <div id="page">
          <p><span style="color: #008080; font-size: small;"><strong>Paper
                submission</strong></span></p>
          <p><font size="2">- Please submit a full-length paper (up to
              10 pages IEEE 2-column format including references) or a
              short-length paper (5 to 7 pages including references) 
              through the online submission system. </font><br>
            <font size="2">- Papers should be formatted to IEEE Computer
              Society Proceedings Manuscript Formatting Guidelines. See
              link to "formatting instructions" here : <span
                style="color: #0000ff;"><a
href="https://www.ieee.org/conferences/publishing/templates.html"><span
                    style="color: #0000ff;">https://www.ieee.org/conferences/publishing/templates.html</span></a></span></font><br>
            <font size="2">- Electronic submissions in PDF format are
              required.</font><br>
            <font size="2">- All papers accepted for this workshop will
              be published in the Workshop Proceedings of IEEE Big Data
              Conference, made available in the IEEE eXplore digital
              library.</font><br>
          </p>
          <font size="2"><span style="color: #008080;"><strong>Online
                Submission </strong></span><br>
            <br>
            <span style="color: #0000ff;"><a
href="https://wi-lab.com/cyberchair/2025/bigdata25/scripts/submit.php?subarea=S48&undisplay_detail=1&wh=/cyberchair/2025/bigdata25/scripts/ws_submit.php"><span
                  style="color: #0000ff;">https://wi-lab.com/cyberchair/2025/bigdata25/scripts/submit.php?subarea=S48&undisplay_detail=1&wh=/cyberchair/2025/bigdata25/scripts/ws_submit.php</span></a></span></font><br>
          <p><font size="2"><span style="color: #008080;"><strong>Contact</strong></span></font><br>
            <font size="2">Prof. Larbi Boubchir (<i>Workshop Chair</i>)<br>
              University of Paris 8, France<br>
              E-mail: <a
                class="moz-txt-link-abbreviated moz-txt-link-freetext"
                href="mailto:larbi.boubchir@univ-paris8.fr">larbi.boubchir@univ-paris8.fr</a></font></p>
        </div>
      </div>
    </div>
  </body>
</html>