Zhi Lü

This paper introduces VALID, a self-supervised denoising method for volumetric biomedical imaging that improves structural fidelity across multiple modalities.

This paper introduces an unsupervised deep-learning method for multi-animal tracking that performs well in challenging conditions without requiring human annotations.

The paper develops DETECTOR-seq to analyze fragmented cell-free RNAs in plasma and extracellular vesicles, revealing distinct RNA distributions and potential biomarkers for cancer detection.