Publications
A complete publication list can be found on my Google Scholar page.
† Co-first author; * Corresponding author.
First, Co-first, and Corresponding Author
Li, S.*, Tang, R., Liu, B., Krepulec, V., Donovan, W., Boas, D., Cheng, X.*, & Tian, L.* (2026). Physics-Informed Neural Network for Mapping Vascular and Tissue Dynamics Using Laser Speckle Contrast Imaging. Neurophotonics, 13(3), 035012. [Paper]
Li, S.*, Malamut, M., McKee, A., Cherry, J. D.*, & Tian, L.* (2025). Age-informed, attention-based weakly supervised learning for neuropathological image assessment. Brain Informatics, 12(1), 27. [Paper]
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, 17(5), e202300483. [Paper]
Zhang, M.†, Li, S.†, Xue, M., & Zhu, Q. (2023). Two-stage classification strategy for breast cancer diagnosis using ultrasound-guided diffuse optical tomography and deep learning. Journal of Biomedical Optics, 28(8), 086002. [Paper]
Li, S.†, Luo, H.†, Kou, S., Hagemann, I. S., & Zhu, Q. (2023). Depth-resolved attenuation mapping of the human ovary and fallopian tube using optical coherence tomography. Journal of Biophotonics, 16(6), 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, 15(6), 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. M. 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]
Coauthored Publications
Novoseltseva, A., Chandra, A., Gray, A. J., Li, S., Bradsby, M., & Bigio, I. J. (2025). Accelerating myelin defect detection in neurodegenerative disorders: a human-in-the-loop deep learning approach with birefringence microscopy. Neurophotonics, 12(4), 045007. [Paper]
Hyman, M., Chang, S., Gong, D., Chollet, E., Yang, J., Novoseltseva, A., Abdelhakeem, A. A., Küreli, G., Li, S., Bevan, J., Weinberg, J., Hof, P. R., McKee, A. C., Bigio, I. J., Boas, D. A., Huber, B. R., & Wang, H. (2025). Mesoscopic vascular alterations in Alzheimer’s disease. Alzheimer’s & Dementia, 21(11), e70907. [Paper]
Nie, H., Luo, H., Lamm, V., Li, S., Thakur, S., Zhou, C., …, & Zhu, Q. (2024). In vivo Evaluation of Complex Polyps with Endoscopic Optical Coherence Tomography and Deep Learning during Routine Colonoscopy: A Feasibility Study. Scientific Reports, 14(1), 27930. [Paper]
Xue, M., Li, S., & Zhu, Q. (2024). Improving diffuse optical tomography imaging quality using APU-Net: an attention-based physical U-Net model. Journal of Biomedical Optics, 29(8), 086001. [Paper]
Xue, M., Zhang, M., Li, S., Zou, Y., & Zhu, Q. (2023). Automated pipeline for breast cancer diagnosis using US assisted diffuse optical tomography. Biomedical Optics Express, 14(11), 6072–6087. [Paper]
Luo, H., Li, S., Kou, S., Lin, Y., Hagemann, I. S., & Zhu, Q. (2023). Enhanced 3D visualization of human fallopian tube morphology using a miniature optical coherence tomography catheter. Biomedical Optics Express, 14(7), 3225–3233. [Paper]
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]
Poplack, S. P., Young, C. A., Hagemann, I. S., Luo, J., Herman, C. R., Wiele, K., Li, S., … & Zhu, Q. (2021). Prospective assessment of adjunctive ultrasound-guided diffuse optical tomography in women undergoing breast biopsy: Impact on BI-RADS assessments. European Journal of Radiology, 145, 110029. [Paper]
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., Chapman Jr, W. C., Lin, Y., Li, S., Mutch, M., & Zhu, Q. (2021). Diagnosing colorectal abnormalities using scattering coefficient maps acquired from optical coherence tomography. Journal of Biophotonics, 14(1), e202000276. [Paper]
Zhang, M., Uddin, K. M. S., Li, S., & Zhu, Q. (2020). Target depth-regularized reconstruction in diffuse optical tomography using ultrasound segmentation as prior information. Biomedical Optics Express, 11(6), 3331–3345. [Paper]
Zeng, Y., Xu, S., Chapman, W. C., Li, S., Alipour, Z., Abdelal, H., Chatterjee, D., Mutch, M., & Zhu, Q. (2020). Real-time colorectal cancer diagnosis using PR-OCT with deep learning. Theranostics, 10(6), 2587–2596. [Paper] [Code]
Zeng, Y., Nandy, S., Rao, B., Li, S., Hagemann, A. R., Kuroki, L. K., … & Zhu, Q. (2019). Histogram analysis of en face scattering coefficient map predicts malignancy in human ovarian tissue. Journal of Biophotonics, 12(11), e201900115. [Paper]