Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs-Reference-Cited by-同舟云学术

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Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs

Published:2023-04-03 Issue: Volume: Page:
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Container-title:Medical Imaging 2023: Image Processing
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Author:

Harkness Rachael,Frangi Alejandro F.,Zucker Kieran,Ravikumar Nishant

Publisher

SPIE

Reference17 articles.

1. Auto-encoding variational bayes;Kingma;CoRR,2013

2. Recent advances in autoencoder-based representation learning;Tschannen,2018

3. beta-vae: Learning basic visual concepts with a constrained variational framework;Higgins,2017

4. Disentangling by factorising;Kim,2018

5. Isolating sources of disentanglement in variational autoencoders;Chen,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards Explainability of the Latent Space by Disentangled Representation Learning;Information Technology and Management Science;2023-11-30

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