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Gifsplanation via Latent Shift: A Simple Autoencoder Approach to
  Counterfactual Generation for Chest X-rays

Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays

18 February 2021
Joseph Paul Cohen
Rupert Brooks
Sovann En
Evan Zucker
Anuj Pareek
M. Lungren
Akshay S. Chaudhari
    FAtt
    MedIm
ArXivPDFHTML

Papers citing "Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays"

4 / 4 papers shown
Title
Counterfactual Image Synthesis for Discovery of Personalized Predictive
  Image Markers
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers
Amar Kumar
Anjun Hu
Brennan Nichyporuk
J. Falet
Douglas L. Arnold
Sotirios A. Tsaftaris
Tal Arbel
MedIm
6
10
0
03 Aug 2022
Transparency of Deep Neural Networks for Medical Image Analysis: A
  Review of Interpretability Methods
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
Zohaib Salahuddin
Henry C. Woodruff
A. Chatterjee
Philippe Lambin
11
301
0
01 Nov 2021
Using StyleGAN for Visual Interpretability of Deep Learning Models on
  Medical Images
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images
K. Schutte
O. Moindrot
P. Hérent
Jean-Baptiste Schiratti
S. Jégou
FAtt
MedIm
29
60
0
19 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach
Explaining the Black-box Smoothly- A Counterfactual Approach
Junyu Chen
Yong Du
Yufan He
W. Paul Segars
Ye Li
MedIm
FAtt
63
83
0
11 Jan 2021
1