Expertise and Research Interests:

Feng Yang, Ph.D., joined the Lister Hill National Center for Biomedical Communications (LHNCBC), National Library of Medicine (NLM) in October 2017, and is currently a Research Fellow in NLM. She is also a visiting Professor at Guizhou University. Dr. Yang had been working as a Principal Investigator, Associate Professor at Beijing Jiaotong University in China from 2012 to 2019. Dr. Yang received her Ph.D. degree from the National Institute of Applied Science (INSA Lyon) in France in 2011, and her B.S. and M.S. degrees from Northwestern Polytechnical University in China in 2005 and 2007, respectively. Her current research interests include machine learning and artificial intelligence-based biomedical data processing and analysis. She has so far published more than 90 research papers, including 40 journal articles, 1 book chapter, and 50 conference proceedings. She has been the organizing committee member of the IEEE ICSP special session on “Medical Image Processing and Understanding” and served as the special session chairman from 2012 to 2022. She has been an organizing committee member of the MICCAI workshop on Medical Image Learning with Limited and Noisy Data (MILLanD).

Honors and Awards:

Dr. Feng Yang received the NLM Special Act/Service Award on Image-based Machine Learning and Artificial Intelligence, National Library of Medicine in 2022.

Dr. Feng Yang received the NLM Special Acts/Services Group Award in 2018.

Publications:

Rajaraman S, Zamzmi G, Yang F, Liang Z, Xue Z, Antani SK. Semantically redundant training data removal and deep model classification performance: A study with chest X-rays. Computerized Medical Imaging and Graphics. Volume 115, 2024, 102379, ISSN 0895-6111, https://doi.org/10.1016/j.compmedimag.2024.102379.

Rajaraman S, Zamzmi G, Yang F, Liang Z, Xue Z, Antani SK. Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric chest X-ray images. PLOS Digital Health 3(1): e0000286. https://doi.org/10.1371/journal.pdig.0000286.

Rajaraman S, Yang F, Zamzmi G, Xue Z, Antani S. Can deep adult lung segmentation models generalize to the pediatric population? Expert Systems with Applications, Volume 229, Part A, 2023, 120531, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2023.120531.

Bui VCB, Yaniv Z, Harris M, Yang F, Kantipudi K, Hurt D, Rosenthal A, Jaeger S. Combining Radiological and Genomic TB Portals Data for Drug Resistance Analysis. IEEE Access. 2023;11:84228-84240. doi: 10.1109/access.2023.3298750. Epub 2023 Jul 25. PMID: 37663145; PMCID: PMC10473876.

More...