Deep learning enables automated scoring of liver fibrosis stages
2018 · Scientific Reports · 108 citations
https://doi.org/10.1038/s41598-018-34300-2
K
Ke Si
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Ke Si is an academic researcher from Qiqihar University. The author has contributed to research in topics: Advanced Fluorescence Microscopy Techniques & Optical Coherence Tomography Applications & Photoacoustic and Ultrasonic Imaging. The author has an h-index of 22, co-authored 99 publications.
ORCID: 0000-0001-8328-4325Papers by this author
worksBreaking the spatial resolution barrier via iterative sound-light interaction in deep tissue microscopy
2012 · Scientific Reports · 81 citations
https://doi.org/10.1038/srep00748
Deep tissue super-resolution imaging with adaptive optical two-photon multifocal structured illumination microscopy
2023 · PhotoniX · 41 citations
https://doi.org/10.1186/s43074-023-00115-2
Genetically encoded sensors enable micro- and nano-scopic decoding of transmission in healthy and diseased brains
2020 · Molecular Psychiatry · 18 citations
https://doi.org/10.1038/s41380-020-00960-8
Implantation-assistance-free flexible waveguide probe for optogenetic stimulation
2024 · Cell Reports Physical Science · 5 citations
https://doi.org/10.1016/j.xcrp.2024.102217
Research on FPGA-based voltage-adaptive EBAPS image denoising algorithm
2025 · 0 citations
https://doi.org/10.1117/12.3083923
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