Published August 23, 2024 | Version v1
Model Open

Cardiac Shape Analysis with Nouveau Variational Autoencoder

Authors/Creators

  • 1. ROR icon Imperial College London

Description

Contains the models for the experiments conducted and published in the paper "Cardiac Shape Analysis with Nouveau Variational Autoencoder" as part of my dissertation for MSc degree in Computing (Artificial Intelligence and Machine Learning), Imperial College London (2023-2024).

Main repository: https://github.com/j-freddy/nvae-shape-encoding

With the exception of segmentation models trained for M&Ms dataset (>45GB in size).

Files

nvae_acdc.zip

Files (3.8 GB)

Name Size Download all
md5:8c5eeb2e37c970ea9fe47f0546e1b2e5
65.2 MB Preview Download
md5:3d6aa2e7ae92fec5d94cb4586b6f4da0
126.3 MB Preview Download
md5:fafc87fe0c29add1e9daa7b26d1e5395
3.5 GB Preview Download
md5:4af76baaf07e873e4a464c51904a1b0a
152.7 MB Preview Download

Additional details

Software

Repository URL
https://github.com/j-freddy/nvae-shape-encoding
Programming language
Python