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MiMICRI: Towards Domain-centered Counterfactual Explanations of
  Cardiovascular Image Classification Models

MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models

24 April 2024
G. Guo
Lifu Deng
A. Tandon
Alex Endert
Bum Chul Kwon
ArXivPDFHTML

Papers citing "MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models"

5 / 5 papers shown
Title
DASH: Visual Analytics for Debiasing Image Classification via
  User-Driven Synthetic Data Augmentation
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation
Bum Chul Kwon
Jungsoo Lee
Chaeyeon Chung
Nyoungwoo Lee
Ho-Jin Choi
Jaegul Choo
29
10
0
14 Sep 2022
Unbox the Black-box for the Medical Explainable AI via Multi-modal and
  Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Guang Yang
Qinghao Ye
Jun Xia
87
478
0
03 Feb 2021
ViCE: Visual Counterfactual Explanations for Machine Learning Models
ViCE: Visual Counterfactual Explanations for Machine Learning Models
Oscar Gomez
Steffen Holter
Jun Yuan
E. Bertini
AAML
49
92
0
05 Mar 2020
Analyzing the Noise Robustness of Deep Neural Networks
Analyzing the Noise Robustness of Deep Neural Networks
Kelei Cao
Mengchen Liu
Hang Su
Jing Wu
Jun Zhu
Shixia Liu
AAML
52
87
0
26 Jan 2020
Effect of Superpixel Aggregation on Explanations in LIME -- A Case Study
  with Biological Data
Effect of Superpixel Aggregation on Explanations in LIME -- A Case Study with Biological Data
Ludwig Schallner
Johannes Rabold
O. Scholz
Ute Schmid
FAtt
22
21
0
17 Oct 2019
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