Peng Guo photo

Peng Guo, PhD

Computational Health Research Branch
Postdoctoral Fellow

Contact Information
Building 38A - Lister Hill Center, 10S1015A

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.


Angara S, Guo P, Xue Z, Antani S. Semi-Supervised Learning for Cervical Precancer Detection. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021, pp. 202-206, doi: 10.1109/CBMS52027.2021.00072.

Xue Z, Guo P, Desai K, Pal A, Ajenifuja KO, Adepiti CA, Long LR, Schiffman M, Antani S. A Deep Clustering Method for Analyzing Uterine Cervix Images Across Imaging Devices. 34th IEEE International Symposium on Computer-Based Medical Systems (CBMS), June 2021, pp. 527-532, doi: 10.1109/CBMS52027.2021.00085.

Guo P, Xue Z, Jeronimo J, Gage JC, Desai KT, Befano B, García F, Long LR, Schiffman M, Antani S. Network Visualization and Pyramidal Feature Comparison for Ablative Treatability Classification Using Digitized Cervix Images. J Clin Med. 2021 Mar 1;10(5):953. doi: 10.3390/jcm10050953.

Guo P, Xue Z, Mtema Z, Yeates K, Ginsburg O, Demarco M, Long LR, Schiffman M, Antani SK. 2. Ensemble Deep Learning for Cervix Image Selection toward Improving Reliability in Automated Cervical Precancer Screening. Diagnostics (Basel) 2020 Jul 3;10(7):451.