Expertise and Research Interests:

Dr. Zhiyun (Jaylene) Xue is a Staff Scientist at the Lister Hill National Center for Biomedical Communications (LHC) at the National Library of Medicine (NLM). She obtained her Ph.D. from Lehigh University USA, M.S. and B.S. from Tsinghua University, China. Dr. Xue has been working at LHC since 2006 on a number of medical imaging informatics projects. By applying her knowledge and expertise in the fields of machine learning, image processing, and computer vision to analyze biomedical images in different modalities, Dr. Xue puts her R&D efforts in those projects with the goals of advancing the research in biomedical informatics and data science, assisting clinicians at the point-of-care, improving the health of the people, and addressing the needs of the underserved population.

Honors and Awards:

Dr. Xue received the HHS Ignite Group Award in 2014, the NLM Special Acts/Services Group Award in 2011-2014, 2017- 2021.

Publications:

Liang Z, Xue Z, Rajaraman S, Antani SK. Automated quantification of SARS-CoV-2 pneumonia with large vision model knowledge adaptation. New Microbes and New Infections, Volume 62, 2024, 101457, ISSN 2052-2975, https://doi.org/10.1016/j.nmni.2024.101457.

Liang Z, Xue Z, Rajaraman S, Antani S. Automated quantification of SARS-CoV-2 pneumonia with large vision model knowledge adaptation. New Microbes and New Infections. New Microbes and New Infections, Volume 62, 2024, 101457, ISSN 2052-2975, https://doi.org/10.1016/j.nmni.2024.101457.

Rajaraman S, Xue Z, Antani S. Editorial on Special Issue “Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care”. Diagnostics. 2024; 14(17):1984. https://doi.org/10.3390/diagnostics14171984.

Rajaraman S, Liang Z, Xue Z, Antani S. Noise-Induced Modality-Specific Pretext Learning for Pediatric Chest X-ray Image Classification. Frontiers in Artificial Intelligence, vol. 7, 2024, doi: 10.3389/frai.2024.1419638, ISSN: 2624-8212.

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