2 citations · 2 across the 3 of their papers we have counts for
4 papers
Recover Cell Tensor: Diffusion-Equivalent Tensor Completion for Fluorescence Microscopy Imaging
Chenwei Wang, Zhaoke Huang, Zelin Li +1
Fluorescence microscopy (FM) imaging is a fundamental technique for observing live cell division, one of the most essential processes in the cycle of life and death. Observing 3D l…
CTransformer: Deep-transformer-based 3D cell membrane tracking with subcellular-resolved molecular quantification
Zelin Li, Guoye Guan, Xiu Xian +13
Deep learning segmentation and fluorescence imaging techniques allow the cellular morphology of living embryos to be constructed spatiotemporally. These development processes invol…
Volume Tells: Dual Cycle-Consistent Diffusion for 3D Fluorescence Microscopy De-noising and Super-Resolution
Zelin Li, Chenwei Wang, Zhaoke Huang +4
3D fluorescence microscopy is essential for understanding fundamental life processes through long-term live-cell imaging. However, due to inherent issues in imaging principles, it…
Scalable Co-Clustering for Large-Scale Data through Dynamic Partitioning and Hierarchical Merging
Zihan Wu, Zhaoke Huang, Hong Yan
Co-clustering simultaneously clusters rows and columns, revealing more fine-grained groups. However, existing co-clustering methods suffer from poor scalability and cannot handle l…