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Learning to recognize Abnormalities in Chest X-Rays with Location-Aware
  Dense Networks

Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks

12 March 2018
Sebastian Gündel
Sasa Grbic
Bogdan Georgescu
S. Kevin Zhou
L. Ritschl
A. Meier
Dorin Comaniciu
ArXiv (abs)PDFHTML

Papers citing "Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks"

13 / 63 papers shown
Title
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale
  Chest Computed Tomography Volumes
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes
R. Draelos
D. Dov
Maciej A. Mazurowski
J. Lo
Ricardo Henao
Geoffrey D. Rubin
Lawrence Carin
93
71
0
12 Feb 2020
Localization with Limited Annotation for Chest X-rays
Localization with Limited Annotation for Chest X-rays
Eyal Rozenberg
Daniel Freedman
A. Bronstein
54
17
0
19 Sep 2019
Deep Multi Label Classification in Affine Subspaces
Deep Multi Label Classification in Affine Subspaces
T. Kurmann
Pablo Márquez-Neila
Sebastian Wolf
Raphael Sznitman
55
5
0
10 Jul 2019
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised
  Classification with the 1-Laplacian Graph Energy
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy
Angelica I. Aviles-Rivero
Nicolas Papadakis
Ruoteng Li
P. Sellars
Samar M. Alsaleh
R. Tan
Carola-Bibiane Schönlieb
71
3
0
20 Jun 2019
Quantifying and Leveraging Classification Uncertainty for Chest
  Radiograph Assessment
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment
Florin-Cristian Ghesu
Bogdan Georgescu
Eli Gibson
Sebastian Gündel
Mannudeep K. Kalra
Ramandeep Singh
S. Digumarthy
Sasa Grbic
Dorin Comaniciu
UQCV
63
46
0
18 Jun 2019
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy
  Labels
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels
Sebastian Gündel
Florin-Cristian Ghesu
Sasa Grbic
Eli Gibson
Bogdan Georgescu
Andreas Maier
Dorin Comaniciu
70
25
0
15 May 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for
  Disease Identification with Chest X-rays
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays
Chengsheng Mao
Liang Yao
Yuan Luo
MedImGNN
88
59
0
31 Mar 2019
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease
  Classification in Chest X-ray Images
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images
Han Liu
Lei Wang
Y. Nan
F. Jin
Qi Wang
J. Pu
191
96
0
30 Oct 2018
Weakly Supervised Deep Learning for Thoracic Disease Classification and
  Localization on Chest X-rays
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays
Chaochao Yan
Jiawen Yao
Ruoyu Li
Zheng Xu
Junzhou Huang
69
120
0
16 Jul 2018
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases
  on Chest Radiography
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography
Hongyu Wang
Yong-quan Xia
83
109
0
09 Jul 2018
Vulnerability Analysis of Chest X-Ray Image Classification Against
  Adversarial Attacks
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks
Saeid Asgari Taghanaki
A. Das
Ghassan Hamarneh
MedIm
91
52
0
09 Jul 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple
  Resolutions
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions
L. Yao
Jordan Prosky
Eric Poblenz
Ben Covington
Kevin Lyman
63
123
0
21 Mar 2018
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray
  Classification
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification
Ivo M. Baltruschat
H. Nickisch
M. Grass
T. Knopp
A. Saalbach
81
384
0
06 Mar 2018
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