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Found 5 papers, 3 papers with code
Deep Learning for Isotropic Super-Resolution from Non-Isotropic 3D Electron Microscopy
The most sophisticated existing methods to generate 3D isotropic super-resolution (SR) from non-isotropic electron microscopy (EM) are based on learned dictionaries.
Image-Based Correction of Continuous and Discontinuous Non-Planar Axial Distortion in Serial Section Microscopy
In serial section microscopy, the axial dimension of the volume is sampled by physically removing thin sections from the embedded specimen and subsequently imaging either the block-face or the section series.
Robust Registration of Calcium Images by Learned Contrast Synthesis
Multi-modal image registration is a challenging task that is vital to fuse complementary signals for subsequent analyses.
Post-acquisition image based compensation for thickness variation in microscopy section series
Serial section Microscopy is an established method for volumetric anatomy reconstruction.
Learned versus Hand-Designed Feature Representations for 3d Agglomeration
For image recognition and labeling tasks, recent results suggest that machine learning methods that rely on manually specified feature representations may be outperformed by methods that automatically derive feature representations based on the data.
