CardioVAE hands-on#
Combining ECG and chest X-ray information#
The cardiovae_multimodal example pairs ECG and chest X-ray modalities. Its repository README describes product-of-experts multimodal variational representation learning, followed by fine-tuning on a haemodynamic endpoint.
Run the quick configuration#
From the Cardiac repository root:
python -m examples.cardiovae_multimodal.main --cfg examples/cardiovae_multimodal/configs/quick.yaml
Warning
With no dataset path, the example uses generated cohorts. Any resulting metric is a synthetic pipeline check, not a clinical result.
Proposed participant prompts#
Identify the input modalities. Identify the two input modalities.
Find the configuration file. Find the configuration file
examples/cardiovae_multimodal/configs/quick.yaml.Identify the endpoint and saved results. Identify the endpoint and locate the saved results.
Discuss missing modalities. Discuss what could happen when one modality is missing.
For experiment-specific data requirements and output file names, see examples/cardiovae_multimodal/README.md in the Cardiac repository.
Note
These activities are provisional; the final session exercises are still to be confirmed.
Getting started · LS-EMVAE hands-on · Results and interpretation.