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A 3D deep learning classifier and its explainability when assessing
  coronary artery disease

A 3D deep learning classifier and its explainability when assessing coronary artery disease

29 July 2023
W. K. Cheung
Jeremy M. Kalindjian
Robert Bell
A. Nair
L. Menezes
R. Patel
S. Wan
Kacy Chou
Jiahang Chen
R. Torii
R. Davies
J. Moon
Daniel C. Alexander
Joseph Jacob
    MedIm
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Papers citing "A 3D deep learning classifier and its explainability when assessing coronary artery disease"

5 / 5 papers shown
Title
Explainable Artificial Intelligence: a Systematic Review
Explainable Artificial Intelligence: a Systematic Review
Giulia Vilone
Luca Longo
XAI
66
271
0
29 May 2020
Towards Interpretable Semantic Segmentation via Gradient-weighted Class
  Activation Mapping
Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping
Kira Vinogradova
Alexandr Dibrov
E. Myers
FAtt
105
149
0
26 Feb 2020
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
Chen Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg
3DV
103
683
0
09 Nov 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating
  Knowledge into Learning Systems
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
Laura von Rueden
S. Mayer
Katharina Beckh
B. Georgiev
Sven Giesselbach
...
Rajkumar Ramamurthy
Michal Walczak
Jochen Garcke
Christian Bauckhage
Jannis Schuecker
66
638
0
29 Mar 2019
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
297
20,003
0
07 Oct 2016
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