HUnet
importedsoftware/hunet
Deep learning-based framework for fast and accurate acoustic hologram generation
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/Moon-Hwan/HUnet
- Documentation
- unknown
- Tags
- deep-learning · hologram · neural-network · ultrasound
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- offaxis_autofocushologram
The proposed hybrid model aims to deliver both aberration-free in-focus amplitude and phase reconstructions, while accurately predicting in-focus distances, from out-of-focus holograms. The tasks…
- offaxis_holosimhologram
This robust tool automates the simulation of the recording process, facilitating mass production of holograms and enhancing the development and training of deep learning models in DHM autofocusing…
- All-About-the-GANneural-network
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
- bcisimulatorneural-network
A simple closed-loop BCI simulator for testing real-time neural decoding algorithms
- breast_cancer_classifierneural-network
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
- causal-genneural-network
(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
- api.github.com/repos/Moon-Hwan/HUnetretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-09-30, 16 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/41.json→ .entries["hunet"]
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