Shijie Li
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    • Pandas
    • PyTorch
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    • Microscopy Image Segmentation via Point and Shape Regularized Data Synthesis
    • Self-supervised OCT image denoising with slice-to-slice registration and reconstruction
    • A novel tool for generating gold standard to validate image segmentation
    • Denoising of Optical Coherence Tomography Scans via Self-Supervised Deep Learning.
    • Improved Counting and Localization From Density Maps for Object Detection in 2D and 3D Microscopy Imaging
    • Novel image analysis for automated quantification of dynamics of 3D lamina cribrosa microstructure under controlled IOP modulation imaged by in-vivo OCT
    • Point-supervised segmentation of microscopy images and volumes via objectness regularization
    • Multi-modal image fusion for multispectral super-resolution in microscopy
    • Denoising of Joint Tracking Data by Kinect Sensors Using Clustered Gaussian Process Regression
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Pandas

Oct 26, 2023 · 1 min read
Go to Project Site

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures.

Last updated on Apr 10, 2025
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李世杰
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李世杰
Machine Learning Researcher
PyTorch Oct 26, 2023 →

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