Publications


A complete publication list can be found in my Google Scholar Page.

First Authored (Co-first Authored)

Li, S., Zhang, M., Xue, M., & Zhu, Q. (2024). Real-time breast lesion classification combining diffuse optical tomography frequency domain data and BI-RADS assessment. Journal of Biophotonics, 202300483.

Zhang, M., Li, S.. , Xue, M., & Zhu, Q. (2023), A two-step classification scheme for breast lesion diagnosis using ultrasound-guided diffuse optical tomography and deep learning. Journal of Biomedical Optics, 28(8), 086002-086002.

Li, S., Luo, H., Kou, S., Hagemann, I., & Zhu, Q. (2023). Depth‐resolved Attenuation Mapping of the Human Ovary and Fallopian Tube Using Optical Coherence Tomography, Journal of Biophotonics, e202300002. [Paper]

Li, S., Zhang, M., Xue, M., & Zhu, Q. (2022). Difference imaging from single measurements in diffuse optical tomography: A deep learning approach. Journal of Biomedical Optics, 27(8), 086003. [Paper] [Code]

Luo, H., Li, S., Zeng, Y., …, Zhu, Q. (2022). Human colorectal cancer tissue assessment using optical coherence tomography catheter and deep learning. Journal of Biophotonics, e202100349. (Inside cover) [Paper] [Code]

Li, S., Zhang, M., & Zhu, Q. (2021). Ultrasound segmentation-guided edge artifact reduction in diffuse optical tomography using connected component analysis. Biomedical Optics Express, 12(8), 5320-5336. [Paper]

Li, S., Huang, K., Zhang, M., Uddin, K. S., & Zhu, Q. (2021). Effect and correction of optode coupling errors in breast imaging using diffuse optical tomography. Biomedical Optics Express, 12(2), 689-704. (Most downloaded papers) [Paper]

Li, S., Zeng, Y., Chapman Jr, W. C., Erfanzadeh, M., Nandy, S., Mutch, M., & Zhu, Q. (2020). Adaptive Boosting (AdaBoost)‐based multiwavelength spatial frequency domain imaging and characterization for ex vivo human colorectal tissue assessment. Journal of Biophotonics, 13(6), e201960241. (Inside cover) [Paper]

Li, S., Qin, Y., Wang, X., & Yang, X. (2018). Bubble growth in cylindrically-shaped optical absorbers during photo-mediated ultrasound therapy. Physics in Medicine & Biology, 63(12), 125017. [Paper]

Other Selected

Zhang, M., Xue, M., Li, S., Zou, Y., & Zhu, Q. (2023). Fusion deep learning approach combining diffuse optical tomography and ultrasound for improving breast cancer classification. Biomedical Optics Express 14 (4), 1636-1646. [Paper][Code]

Zhang, M., Li, S., Zou, Y., & Zhu, Q. (2021). Deep learning-based method to accurately estimate breast tissue optical properties in the presence of the chest wall. Journal of Biomedical Optics, 26(10), 106004. [Paper]

Zou, Y., Zeng, Y., Li, S., & Zhu, Q. (2021). Machine learning model with physical constraints for diffuse optical tomography. Biomedical Optics Express, 12(9), 5720-5735. (Most downloaded papers) [Paper]

Zeng, Y., Xu, S., Chapman, J. W., Li, S., Alipour, Z., Abdelal, H., … & Zhu, Q. (2020). Real-time colorectal cancer diagnosis using PR-OCT with deep learning. Theranostics, 10(6), 2587-2596. [Paper][Code]