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            <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 <b>online</b>, 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/"
                  moz-do-not-send="true">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/"
                  moz-do-not-send="true">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"
                      moz-do-not-send="true"><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"
                    moz-do-not-send="true"><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"
                    moz-do-not-send="true">larbi.boubchir@univ-paris8.fr</a></font></p>
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