Area of research
Computer Vision and Pattern Recognition · Radiology, Nuclear Medicine and Imaging
Research interest
Research focused on Benchmark (surveying) and Deconvolution, with related work in Segmentation, Artificial intelligence, Transcriptome. Notable publications include 'A Survey of Visual Transformers', 'Human intestinal tract serves as an alternative infection route for Middle East respiratory syndrome coronavirus', and 'The multimodality cell segmentation challenge: toward universal solutions'.
The multimodality cell segmentation challenge: toward universal solutions
Deep Learning in Single-cell Analysis
DANCE: a deep learning library and benchmark platform for single-cell analysis
S <scp>patial</scp> CTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology
A Survey of Visual Transformers
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions
SpatialCTD: a large-scale TME spatial transcriptomic dataset to evaluate cell type deconvolution for immuno-oncology
Linking Heat Shock Protein 70 and Parkin in Parkinson’s Disease
SpatialCTD: a large-scale TME spatial transcriptomic dataset to evaluate cell type deconvolution for immuno-oncology
MEM-GAN: A Pseudo Membrane Generator for Single-cell Imaging in Fluorescent Microscopy
Human intestinal tract serves as an alternative infection route for Middle East respiratory syndrome coronavirus