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<h1 style="text-align: center">NLM DIR Seminar Schedule</h1>
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<h4>UPCOMING SEMINARS</h4>
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<ul class="font-sans-3xs sem-list">
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<li>
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<a href="/seminar/5213/detail/">March 11, 2025 <b>Sofya Garushyants</b></a><br>Tmn – bacterial anti-phage defense system
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</li>
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<li>
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<a href="/seminar/5214/detail/">March 18, 2025 <b>MG Hirsch</b></a><br>TBD
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<li>
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<a href="/seminar/5215/detail/">March 25, 2025 <b>Yifan Yang</b></a><br>TBD
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<li>
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<a href="/seminar/5216/detail/">April 1, 2025 <b>Roman Kogay</b></a><br>TBD
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</li>
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<li>
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<a href="/seminar/5217/detail/">April 8, 2025 <b>Jaya Srivastava</b></a><br>TBD
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<h4>RECENT SEMINARS</h4>
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<!-- change object_list to recent_sem -->
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<a href="/seminar/5212/detail/">March 4, 2025 <b>Sanasar Babajanyan</b></a><br>Evolution of antivirus defense in prokaryotes depending on the environmental virus load
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<!-- change object_list to recent_sem -->
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<a href="/seminar/5211/detail/">Feb. 25, 2025 <b>Zhizheng Wang</b></a><br>GeneAgent: Self-verification Language Agent for Gene Set Analysis using Domain Databases
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<!-- change object_list to recent_sem -->
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<li>
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<a href="/seminar/5210/detail/">Feb. 18, 2025 <b>Samuel Lee</b></a><br>Efficient predictions of alternative protein conformations by AlphaFold2-based sequence association
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<!-- change object_list to recent_sem -->
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<li>
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<a href="/seminar/5209/detail/">Feb. 11, 2025 <b>Po-Ting Lai</b></a><br>Enhancing Biomedical Relation Extraction with Directionality
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<!-- change object_list to recent_sem -->
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<li>
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<a href="/seminar/5208/detail/">Feb. 4, 2025 <b>Victor Tobiasson</b></a><br>On the dominance of Asgard contributions to Eukaryogenesis
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<h2>Scheduled Seminars on March 17, 2022</h2>
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<div class="tablet:grid-col-4"> Speaker</div>
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<div class="tablet:grid-col-8"><strong>Ghadh Alzamzmi</strong></div>
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<div class="tablet:grid-col-8"><strong></strong></div>
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<div class="tablet:grid-col-4"> Time</div>
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<div class="tablet:grid-col-8"><strong>3 p.m.</strong></div>
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<div class="tablet:grid-col-4"> Presentation Title</div>
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<div class="tablet:grid-col-8"><strong> Open World Active Learning for Echocardiography View Classification </strong></div>
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<div class="tablet:grid-col-4"> Location</div>
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<div class="tablet:grid-col-8"><strong> Building 38A - B2 NCBI Library </strong></div>
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<p class="padding-left-2">Contact <a href="mailto:NLMDIRSeminarScheduling@mail.nih.gov">NLMDIRSeminarScheduling@mail.nih.gov</a>
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with questions about this seminar.</p>
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<div class="grid-col padding-x-2 padding-bottom-2" id="textalign">
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<h4> Abstract: </h4>
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<p><p>Existing works for automated echocardiography view classification are designed under the assumption that the classes (views) in the testing set must be similar to those appeared in the training set (closed world classification). This assumption may be too strict for real-world environments that are open and often have unseen examples (views), thereby drastically weakening the robustness of the classical classification approaches. In this work, we developed an open world active learning approach for echocardiography view classification, where the network classifies images of known views into their respective classes and identifies images of unknown views. Then, a clustering approach is used to cluster the unknown views into various groups to be labeled by an echocardiologist. Finally, the new labeled samples are added to the initial set of known views and used to update the classification network. This process of actively labeling unknown clusters and integrating them into the classification model significantly increases the efficiency of data labeling and the robustness of the classifier. Our results using an echocardiography dataset containing known and unknown views showed the superiority of the proposed approach as compared to the closed world view classification approaches.</p></p>
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<h4>ARCHIVES</h4>
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<ul class="font-sans-3xs sem-list">
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<li><a href="/archive_seminars/2024/"><b>2024</b> Seminars</a></li>
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<li><a href="/archive_seminars/2023/"><b>2023</b> Seminars</a></li>
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<li><a href="/archive_seminars/2022/"><b>2022</b> Seminars</a></li>
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<li><a href="/archive_seminars/2021/"><b>2021</b> Seminars</a></li>
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<li><a href="/archive_seminars/2020/"><b>2020</b> Seminars</a></li>
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<li><a href="/archive_seminars/2019/"><b>2019</b> Seminars</a></li>
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<li><a href="/archive_seminars/2018/"><b>2018</b> Seminars</a></li>
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<li><a href="/archive_seminars/2017/"><b>2017</b> Seminars</a></li>
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<li><a href="/archive_seminars/2016/"><b>2016</b> Seminars</a></li>
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<li><a href="/archive_seminars/2015/"><b>2015</b> Seminars</a></li>
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<li><a href="/archive_seminars/2014/"><b>2014</b> Seminars</a></li>
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<li><a href="/archive_seminars/2013/"><b>2013</b> Seminars</a></li>
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<li><a href="/archive_seminars/2012/"><b>2012</b> Seminars</a></li>
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<li><a href="/archive_seminars/2011/"><b>2011</b> Seminars</a></li>
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<li><a href="/archive_seminars/2010/"><b>2010</b> Seminars</a></li>
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<li><a href="/archive_seminars/2009/"><b>2009</b> Seminars</a></li>
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