openmedical/registry
← registry

ZAugNet

imported

software/zaugnet

ZAugNet

Machine-generated from the listed sources and not yet reviewed by a human.

ZAugNet project image
GitHub preview card for VirtualEmbryo/ZAugNet. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
CC-BY-SA-4.0(cc)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
3d · bioimaging · deep-learning · microscopy · self-supervised-learning
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • ultrabioimaging · microscopy

    AI research agents + scientific image viewer for bioimaging & neuroimaging — LangGraph agents, GPU inference, and native in-browser OME-Zarr / TIFF / NIfTI / HDF5 viewers.

  • cell_observatory_platform3d · microscopy · self-supervised-learning

    Training backend for Cell Observatory models

  • Dashboardbioimaging

    MOMSI Standard Landscape Review Curation Workflow & Multi-Omics Dashboard

  • DeepVIDv2microscopy · self-supervised-learning

    DeepVID v2: Self-Supervised Denoising with Decoupled Spatiotemporal Enhancement for Low-Photon Voltage Imaging

  • event_super-resolutionmicroscopy · self-supervised-learning

    Repo for Neuromorphic Imaging with Super-Resolution, IEEE TCSVT, 2025.

  • SUPPORTmicroscopy · self-supervised-learning

    Accurate denoising of voltage imaging data through statistically unbiased prediction, Nature Methods.

sources
  1. api.github.com/repos/VirtualEmbryo/ZAugNet
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-03-22, 7 stars, license reported as CC-BY-SA-4.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/55.json→ .entries["zaugnet"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.