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Dive into the research topics where SPH-Data Sciences in Precision is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
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Assessing disease severity in cutaneous lupus patients using natural language processing: Preliminary data from a cohort study
Nezafati, K., Wang, L., Rong, R., Park, A. J., Zhu, J., Xiao, G., Xie, Y., Yang, D. M. & Chong, B. F., Apr 2025, In: Journal of the American Academy of Dermatology. 92, 4, p. 894-896 3 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Scopus citations -
Cell Segmentation With Globally Optimized Boundaries (CSGO): A Deep Learning Pipeline for Whole-Cell Segmentation in Hematoxylin-and-Eosin–Stained Tissues
Gu, Z., Wang, S., Rong, R., Zhao, Z., Wu, F., Zhou, Q., Wen, Z., Chi, Z., Fang, Y., Peng, Y., Jia, L., Chen, M., Yang, D., Hoshida, Y., Xie, Y. & Xiao, G., Feb 2025, In: Laboratory Investigation. 105, 2, 102184.Research output: Contribution to journal › Article › peer-review
Open Access6 Link opens in a new tab Scopus citations -
Dimensionality reduction for visualizing spatially resolved profiling data using SpaSNE
Zhou, Y., Tang, C., Xiao, X., Zhan, X., Wang, T., Xiao, G. & Xu, L., 2025, In: GigaScience. 14, giaf002.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Scopus citations