Expertise and Research Interests:

Dr. Guo received his PhD degree in Electrical Engineering from Missouri University of Science and Technology. He joined the Lister Hill National Center for Biomedical Communications (LHNCBC), National Library of Medicine (NLM), National Institutes of Health (NIH), as a postdoctoral researcher in 2018. His research interests are in the area of biomedical image analysis and computer vision, focusing on image classification, image segmentation and deep learning/machine learning based image information retrieval. He is being mentored by Sameer Antani, PhD., Staff Scientist, Communications Engineering Branch, NLM, NIH.

Publications:

Xue Z, Angara S, Guo P, Rajaraman S, Jeronimo J, Rodriguez AC, Alfaro K, Charoenkwan K, Mungo C, Fokom‐Domgue J, Wentzensen N, Desai K, Ajenifuja K, Wikström E, Befano BS, Antani S. Image Quality Classification for Automated Visual Evaluation of Cervical Precancer. Zamzmi, G., Antani, S., Bagci, U., Linguraru, M.G., Rajaraman, S., Xue, Z. (eds) Medical Image Learning with Limited and Noisy Data. MILLanD 2022. Lecture Notes in Computer Science, vol 13559. Springer, Cham. https://doi.org/10.1007/978-3-031-16760-7_20.

Rajaraman S, Guo P, Xue Z, Antani SK. A Deep Modality-Specific Ensemble for Improving Pneumonia Detection in Chest X-rays. Diagnostics (Basel). 2022 Jun 11;12(6). doi: 10.3390/diagnostics12061442. PubMed PMID: 35741252; PubMed Central PMCID: PMC9221627.

Angara S, Guo P, Xue Z, Antani S. An Empirical Study of Vision Transformers for Cervical Precancer Detection. In: Santosh, K., Hegadi, R., Pal, U. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2021. Communications in Computer and Information Science, vol 1576. Springer, Cham. https://doi.org/10.1007/978-3-031-07005-1_3.

Guo P, Xue Z, Angara S, Antani SK . Unsupervised Deep Learning Registration of Uterine Cervix Sequence Images. Cancers, 14(10), 2401. https://doi.org/10.3390/cancers14102401.

More...