Adding new models to zea

[tristan-deep]

Any ultrasound models used for pre or postprocessing ultrasound data, or perform downstream tasks. Which ones would be good to add? Can be learned or non-learned models. Link some papers below ⬇️

[tristan-deep]

Dehazing / denoising methods, see #146

[tristan-deep]

• nuclear diffusion (video B-mode data) (from paper)
• joint diffusion (RF data) (from paper)

[tristan-deep]

ABLE, adaptive beamformer model (from paper)

[tristan-deep]

See #357, by @benluijten

[tristan-deep]

INFER, inverse scattering (from paper and codebase)

[tristan-deep]

EDMLX (Echo from noise, diffusion, VAE, and segmentation) (from codebase 1 and codebases 2)

[tristan-deep]

PanEcho (Complete AI-Enabled Echocardiography Interpretation with Multitask Deep Learning). Downstream task model for diagnostic parameter estimation of echocardiograms (from paper and codebase).

[tristan-deep]

@gholste

[tristan-deep]

EchoTracker (from paper and codebase).