Perioperative Predictions with Interpretable Latent Representation

Author:

Xue Bing1,Jiao York1,Kannampallil Thomas1,Fritz Bradley1,King Christopher1,Abraham Joanna1,Avidan Michael1,Lu Chenyang1

Affiliation:

1. Washington University in St. Louis, St. Louis, MO, USA

Funder

Washington University DoCTR grant

Fullgraf Foundation

Publisher

ACM

Reference38 articles.

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2. Clinical data analysis using artificial neural networks (ANN) and principal component analysis (PCA) of patients with breast cancer after mastectomy

3. Christopher P Burgess , Irina Higgins , Arka Pal , Loic Matthey , Nick Watters , Guillaume Desjardins , and Alexander Lerchner . 2018. Understanding disentangling in $backslash$beta -VAE. arXiv preprint arXiv:1804.03599 ( 2018 ). Christopher P Burgess, Irina Higgins, Arka Pal, Loic Matthey, Nick Watters, Guillaume Desjardins, and Alexander Lerchner. 2018. Understanding disentangling in $backslash$beta -VAE. arXiv preprint arXiv:1804.03599 (2018).

4. Impact of automated ICA-based denoising of fMRI data in acute stroke patients

5. Ricky TQ Chen , Xuechen Li , Roger Grosse , and David Duvenaud . 2018. Isolating sources of disentanglement in variational autoencoders. arXiv preprint arXiv:1802.04942 ( 2018 ). Ricky TQ Chen, Xuechen Li, Roger Grosse, and David Duvenaud. 2018. Isolating sources of disentanglement in variational autoencoders. arXiv preprint arXiv:1802.04942 (2018).

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