Jianfei
Liu, PhD
Staff Scientist
Dr. Jianfei Liu is a computer scientist with the research interest in applying artificial intelligence for medical image analysis and computer-aided diagnosis.
PhD, University of North Carolina at Charlotte
MS, Institute of Automation, Chinese Academy of Sciences
BS, University of Science and Technology Beijing
Dr. Liu received his PhD in Computer Science from the University of North Carolina at Charlotte in 2011. Now he is a Staff Scientist in the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center.
His research interests are in the fields of medical image analysis, computer vision, and machine learning.
- HHS Data Excellence Award, National Institutes of Health Clinical Center, 2023
- Director Award, National Eye Institute, National Institutes of Health, 2020
- Best Paper Award, 2th MICCAI Workshop on Computational Methods and Clinical Applications for Spine Imaging, 2015
Sayantan Bhadra, Jianfei Liu, and Ronald M. Summers. Subcutaneous edema segmentation on abdominal CT using multi-class labels and iterative annotation. International Journal of Computer Assisted Radiology and Surgery, https://doi.org/10.1007/s11548-024-03262-4, 2024.
Jianfei Liu, Omid Shafaat, Sayantan Bhadra, Christopher Parnell, Ayden Harris, and Ronald M. Summers. Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior. International Journal of Computer Assisted Radiology and Surgery, 19: 443–448, 2024.
David Oluigbo, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, and Ronald M. Summers. Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data. Computerized Medical Imaging and Graphics, 116: 102419, 2024.
Jianfei Liu, Christine Shen, Nancy Aguilera, Catherine Cukras, Robert B. Hufnagel, Wadih M. Zein, Tao Liu, and Johnny Tam. Active Cell Appearance Model In- duced Generative Adversarial Networks for Annotation-Efficient Cell Segmentation and Identification on Adaptive Optics Retinal Images. IEEE Transactions on Medical Imaging, 40(10): 2820-2831, 2021.
Jianfei Liu, Yoo-Jean Han, Tao Liu, Nancy Aguilera, and Johnny Tam. Spatially aware dense-linkNet based regression improves fluorescent cell detection in adaptive optics ophthalmic images. IEEE journal of biomedical and health informatics, 24(12): 3520-3528, 2020.
Jianfei Liu, Shijun Wang, Marius G. Linguraru, Jianhua Yao, and Ronald M. Summers. Computer-Aided Detection of Exophytic Renal Lesions on Non-Contrast CT Images. Medical Image Analysis, 19(1): 15-29, 2015.
Jianfei Liu, Shijun Wang, Marius G. Linguraru, Jianhua Yao, and Ronald M. Summers. Tumor Sensitive Matching Flow: A Variational Method to Detecting and Segment- ing Perihepatic and Perisplenic Ovarian Cancer Metastases on Contrast-Enhanced Abdominal CT. Medical Image Analysis, 18(5): 725-739, 2014.