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Electrocardio-Panorama

imported

software/electrocardio-panorama

The codes of paper "Electrocardio Panorama: Synthesizing New ECG views with Self-supervision"

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

Electrocardio-Panorama project image
GitHub preview card for WhatAShot/Electrocardio-Panorama. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
deeplearning-ai · ecg · ecg-signals · ecg-views · electrocardio-panorama · gan · viewpoints
Regulatory
unknown
built by · 3

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.

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.

  • This repo contain my assignment notebooks for the Coursera AI for Medicine Specialization course. The link to the course: https://www.coursera.org/specializations/ai-for-medicine

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  • SSSD-ECGecg-signals

    Repository for the paper: 'Diffusion-based Conditional ECG Generation with Structured State Space Models'

  • ECG-GANecg · gan

    Synthesize plausible ECG signals via Generative adversarial networks

  • SynthECGecg · gan

    The first systematic evaluation framework for synthetic 10-second 12-lead ECGs from diagnostic class-conditioned generative models

  • Deep CNN for performing 3D super resolution on CT/MRI scans

sources
  1. api.github.com/repos/WhatAShot/Electrocardio-Panorama
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-02-20, 53 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/51.json→ .entries["electrocardio-panorama"]

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