m1dsolo/EchoCardMAE
EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography
This project helps cardiologists and researchers analyze echocardiography videos to predict heart function or delineate heart structures. It takes raw echocardiogram video files as input and outputs either an Ejection Fraction (EF) prediction or segmented images highlighting specific heart components. The primary users are medical professionals or researchers working with cardiac ultrasound data.
No commits in the last 6 months.
Use this if you need to automate or assist in the analysis of echocardiogram videos for either predicting ejection fraction (a measure of heart function) or performing precise segmentation of heart chambers.
Not ideal if you are looking to analyze other types of medical imaging data beyond echocardiograms or require real-time, on-device analysis for clinical use without a development setup.
Stars
9
Forks
2
Language
Python
License
—
Category
Last pushed
Jun 09, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/m1dsolo/EchoCardMAE"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
kyegomez/VisionMamba
Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation...
SiavashShams/ssamba
[SLT'24] The official implementation of SSAMBA: Self-Supervised Audio Representation Learning...
kaistmm/Audio-Mamba-AuM
Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio...
kkakkkka/MambaTalk
[NeurlPS-2024] The official code of MambaTalk: Efficient Holistic Gesture Synthesis with...
FarnoushRJ/MambaLRP
[NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space...