Author

Hang Zhou

Wuhan National Laboratory for OptoelectronicsORCID 0000-0002-0072-926XUnclaimed ORCID profile · follow to get notified of new preprints

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Hang Zhou2 papers · Yale University

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:statistical model· 1

Frequent Co-Authors

Shaoqun ZengiD· 2 shared Ali ErtürkiD· 1 shared Anan LiiD· 1 shared F.-F. YiniD· 1 shared Huang Qing· 1 shared Hui GongiD· 1 shared Li Shiwei· 1 shared Ling FuiD· 1 shared

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2017-2020 · peak 1/yr

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10 top collaborators · 25 mutual co-author links

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2 shared papersNeuroscience

Shaoqun ZengORCID

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2 papers

Recent·Most cited

A 3D High Resolution Generative Deep-learning Network for Fluorescence Microscopy Image

Hang Zhou, Li Shiwei, Huang Qing, Shijie Liu, Quan Tingwei, Ruiyao Cai, Ali Ertürk, Shaoqun Zeng

This paper introduces a 3D deep learning network using dual-GAN to recover high-resolution volume images from low-resolution ones in fluorescence microscopy.

Optics Letters · Feb 3, 2020Peer-reviewedNeuroscience

Identifying weak signals in inhomogeneous neuronal images for large-scale tracing of neurites

Shiwei Li, Tingwei Quan, Hang Zhou, F.-F. Yin, Anan Li, Ling Fu, Qingming Luo, Hui Gong, Shaoqun Zeng

This paper introduces ST-LFV, a method that improves weak signal identification in neuronal images, achieving higher recall and precision than existing tools for large-scale neurite tracing.

bioRxiv · Aug 29, 2017 · PreprintBioinformatics