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A new method using deep learning to predict the response to cardiac
  resynchronization therapy

A new method using deep learning to predict the response to cardiac resynchronization therapy

4 May 2023
Kristoffer Larsen
Jiashuo Liu
Chen Zhao
Xinwei Zhang
Q. Sha
Claudio T Mesquitad
Diana Paez
Yangqiu Song
J. Zou
Amalia Peix
Weihua Zhou
ArXivPDFHTML

Papers citing "A new method using deep learning to predict the response to cardiac resynchronization therapy"

5 / 5 papers shown
Title
Mask of truth: model sensitivity to unexpected regions of medical images
Mask of truth: model sensitivity to unexpected regions of medical images
Théo Sourget
Michelle Hestbek-Møller
Amelia Jiménez-Sánchez
Jack Junchi Xu
Veronika Cheplygina
AAML
138
0
0
05 Dec 2024
A Survey on Visual Transformer
A Survey on Visual Transformer
Kai Han
Yunhe Wang
Hanting Chen
Xinghao Chen
Jianyuan Guo
...
Chunjing Xu
Yixing Xu
Zhaohui Yang
Yiman Zhang
Dacheng Tao
ViT
159
2,202
0
23 Dec 2020
A Comprehensive Survey on Transfer Learning
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
175
4,428
0
07 Nov 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
250
19,929
0
07 Oct 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN
  Architectures, Dataset Characteristics and Transfer Learning
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin
H. Roth
Mingchen Gao
Le Lu
Ziyue Xu
Isabella Nogues
Jianhua Yao
D. Mollura
Ronald M. Summers
58
4,595
0
10 Feb 2016
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