Kaitai Han
Beijing Institute of Petrochemical Technology(CN)
Publications by Year
Research Areas
Cell Image Analysis Techniques, Single-cell and spatial transcriptomics, Gene expression and cancer classification, Photoacoustic and Ultrasonic Imaging, Protein Structure and Dynamics
Most-Cited Works
- → Advancing microplastic surveillance through photoacoustic imaging and deep learning techniques(2024)19 cited
- → Innovative methods for microplastic characterization and detection: Deep learning supported by photoacoustic imaging and automated pre-processing data(2024)19 cited
- → Attention-guided variational graph autoencoders reveal heterogeneity in spatial transcriptomics(2024)17 cited
- → Fast Real-Time Brain Tumor Detection Based on Stimulated Raman Histology and Self-Supervised Deep Learning Model(2024)7 cited
- → Unveiling precision: a data-driven approach to enhance photoacoustic imaging with sparse data(2023)7 cited
- → Innovative Mamba and graph transformer framework for superior protein-ligand affinity prediction(2024)5 cited
- → Reconstructing 3D Biomedical Architectural Order at Multiple Spatial Scales with Multimodal Stack Input(2024)4 cited
- → KanCell: dissecting cellular heterogeneity in biological tissues through integrated single-cell and spatial transcriptomics(2024)3 cited
- → Swin Transformer Based Neural Network for Organelles Prediction from Quantitative Label-Free Imaging with Phase and Polarization (Qlipp) in Unlabeled Live Cells and Tissue Slices(2023)2 cited
- → SpaOmicsVAE: A deep learning framework for integrative analysis of spatial multi-omics data(2025)2 cited