Yafei Dong, Ph.D. (董亚飞)

Postdoctoral Associate Yale PET Center Yale School of Medicine 100 Church St S New Haven, CT 06519, USA E-mail: dongyf43@gmail.com      yafei.dong@yale.edu

About me

I am a postdoctoral associate at Yale PET Center, Yale School of Medicine, advised by Prof. Georges El Fakhri (also thanks to guidance from Thibault Marin, Ph.D., Chao Ma, Ph.D., and Kuang Gong, Ph.D.). Our team moved from Gordon Center for Medical Imaging, Massachusetts General Hospital, and Harvard Medical School in February 2024. Now, I am doing research on medical image processing by deep learning techniques, especially for positron emission tomography (PET) image processing. My research projects include medical image synthesis and segmentation. Previously, I received my Ph.D. degree from Zhejiang University, advised by Prof. Yanpeng Cao. During my Ph.D. time, my research focused on signal and image processing in infrared non-destructive testing. My work includes pre-processing (image quality enhancement), sub-surface defect detection, sub-surface defect depth estimation, and spatial visualization of defect.

Research Interests

Computer Vision  Deep Learning  Medical Imaging  Infrared Imaging

Work Experience

Education

Publications

Journal Papers

1. Zhao, B., Zheng, J., Dong, Y., Shen, N., Yang, J., Cao, Y., & Cao, Y.* (2023). PPI Edge Infused Spatial-Spectral Adaptive Residual Network for Multispectral Filter Array Image Demosaicing. IEEE Transactions on Geoscience and Remote Sensing. [website]

2. Dong, Y., Zhao, B., Yang, J., Cao, Y., & Cao, Y.* (2023). Two-stage convolutional neural network for joint removal of sensor noise and background interference in lock-in thermography. NDT & E International, 137, 102816. [website]

3. Yang, J., Liu, F., Dong, Y., Cao, Y., & Cao, Y.* (2022). Multiple-objective optimization of a reconfigurable assembly system via equipment selection and sequence planning. Computers & Industrial Engineering, 172, 108519. [website]

4. Cao, Y., Dong, Y., Wang, F., Yang, J., Cao, Y.*, & Li, X.* (2021). Multi-sensor spatial augmented reality for visualizing the invisible thermal information of 3D objects. Optics and Lasers in Engineering, 145, 106634. [website]

5. Dong, Y., Xia, C., Yang, J., Cao, Y., Cao, Y.*, & Li, X. (2021). Spatio-temporal 3-D residual networks for simultaneous detection and depth estimation of CFRP subsurface defects in lock-in thermography. IEEE Transactions on Industrial Informatics, 18(4), 2571-2581. [website]

6. Cao, Y., Dong, Y., Cao, Y., Yang, J.*, & Yang, M. Y. (2020). Two-stream convolutional neural network for non-destructive subsurface defect detection via similarity comparison of lock-in thermography signals. NDT & E International, 112, 102246. [website]

7. He, Z., Cao, Y.*, Dong, Y., Yang, J., Cao, Y., & Tisse, C. L. (2018). Single-image-based nonuniformity correction of uncooled long-wave infrared detectors: A deep-learning approach. Applied optics, 57(18), D155-D164. [website]

Conference Abstracts

1. Dong, Y., Jang, S. I., Han, P., Johnson, K. A., Ma, Chao, Fakhri, G. E., Li, Q. and Gong, K.* (2023). Attenuation correction for PET imaging using conditional denoising diffusion probabilistic model. IEEE Medical Imaging Conference (MIC)

2. Jang, S. I., Lois, C., Thibault, E., Becker, J. A., Dong, Y., Normandin, M. D., Price J. C., Johnson K. A., Fakhri G. E., & Gong, K.* (2023). TauPETGen: Text-Conditional Tau PET Image Synthesis Based on Latent Diffusion Models. IEEE Medical Imaging Conference (MIC) [arXiv]

Note: * indicates the corresponding author.

Full list of publications in Google Scholar.

Academic Service

Reviewer for Journals

• IEEE Transactions on Industrial Informatics

• IEEE Transactions on Radiation and Plasma Medical Sciences

• IEEE Transactions on Computational Imaging

• Optics and Lasers in Engineering

• Infrared Physics and Technology

• Journal of X-Ray Science and Technology