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Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray
  Classification

Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification

6 March 2018
Ivo M. Baltruschat
H. Nickisch
M. Grass
T. Knopp
A. Saalbach
ArXivPDFHTML

Papers citing "Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification"

28 / 28 papers shown
Title
Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images
Ashish Verma
Aupendu Kar
Krishnendu Ghosh
S. K. Dhara
Debashis Sen
P. Biswas
MedIm
46
0
0
01 Mar 2025
Learning Low-Rank Feature for Thorax Disease Classification
Learning Low-Rank Feature for Thorax Disease Classification
Rajeev Goel
Utkarsh Nath
Yancheng Wang
Alvin C. Silva
Teresa Wu
Yingzhen Yang
30
0
0
14 Feb 2024
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical
  Imaging Research
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research
Bardia Khosravi
Frank Li
Theo Dapamede
Pouria Rouzrokh
Cooper Gamble
...
C. Wyles
Andrew B. Sellergren
S. Purkayastha
Bradley J. Erickson
J. Gichoya
MedIm
36
17
0
15 Nov 2023
HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease
  Classification from Chest X-ray Images
HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease Classification from Chest X-ray Images
Şaban Öztürk
M. Y. Turali
Tolga Çukur
MedIm
ViT
46
10
0
09 Oct 2023
On the Learnability of Multilabel Ranking
On the Learnability of Multilabel Ranking
Vinod Raman
Unique Subedi
Ambuj Tewari
35
1
0
06 Apr 2023
On Evaluating Adversarial Robustness of Chest X-ray Classification:
  Pitfalls and Best Practices
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices
Salah Ghamizi
Maxime Cordy
Michail Papadakis
Yves Le Traon
OOD
11
2
0
15 Dec 2022
Manifestations of Xenophobia in AI Systems
Manifestations of Xenophobia in AI Systems
Nenad Tomašev
J. L. Maynard
Iason Gabriel
24
9
0
15 Dec 2022
Auto-outlier Fusion Technique for Chest X-ray classification with
  Multi-head Attention Mechanism
Auto-outlier Fusion Technique for Chest X-ray classification with Multi-head Attention Mechanism
Yu Jing
Zixuan Li
21
0
0
15 Nov 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease
  Classification
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
Junfei Xiao
Yutong Bai
Alan Yuille
Zongwei Zhou
MedIm
ViT
37
59
0
23 Oct 2022
SwinCheX: Multi-label classification on chest X-ray images with
  transformers
SwinCheX: Multi-label classification on chest X-ray images with transformers
Sina Taslimi
Soroush Taslimi
Nima Fathi
Mohammad Salehi
M. Rohban
ViT
MedIm
24
24
0
09 Jun 2022
Indication as Prior Knowledge for Multimodal Disease Classification in
  Chest Radiographs with Transformers
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers
Grzegorz Jacenków
Alison Q. OÑeil
Sotirios A. Tsaftaris
ViT
MedIm
25
23
0
12 Feb 2022
Debiasing pipeline improves deep learning model generalization for X-ray
  based lung nodule detection
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection
M. J. Horry
Subrata Chakraborty
B. Pradhan
M. Paul
Jing Zhu
H. Loh
P. Barua
Usha R. Acharya
AI4CE
33
7
0
24 Jan 2022
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray
  Abnormality Localization and Diagnosis
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis
Xi Ouyang
Srikrishna Karanam
Ziyan Wu
Terrence Chen
Jiayu Huo
X. Zhou
Qian Wang
Jie-Zhi Cheng
OOD
18
89
0
23 Dec 2021
Explainable multiple abnormality classification of chest CT volumes
Explainable multiple abnormality classification of chest CT volumes
R. Draelos
Lawrence Carin
MedIm
34
12
0
24 Nov 2021
Multi-target prediction for dummies using two-branch neural networks
Multi-target prediction for dummies using two-branch neural networks
Dimitrios Iliadis
B. De Baets
Willem Waegeman
17
9
0
19 Apr 2021
Deep Learning for Chest X-ray Analysis: A Survey
Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu
E. Çallı
Bram van Ginneken
K. G. V. Leeuwen
K. Murphy
LM&MA
24
316
0
15 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by
  Adversarial Attack
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack
Mengting Xu
Tao Zhang
Zhongnian Li
Mingxia Liu
Daoqiang Zhang
AAML
OOD
MedIm
33
41
0
05 Mar 2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for
  Thoracic Disease Identification
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification
Yi Zhou
Lei Huang
Tianfei Zhou
Ling Shao
28
8
0
26 Feb 2021
Multi-label Ranking: Mining Multi-label and Label Ranking Data
Multi-label Ranking: Mining Multi-label and Label Ranking Data
L. Dery
27
7
0
03 Jan 2021
Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic
  Literature Review
Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review
Tahira Iqbal
A. Shaukat
M. Akram
Zartasha Mustansar
24
10
0
21 Dec 2020
Deformable Gabor Feature Networks for Biomedical Image Classification
Deformable Gabor Feature Networks for Biomedical Image Classification
Xuan Gong
Xin Xia
Wentao Zhu
Baochang Zhang
David Doermann
Lian Zhuo
OOD
MedIm
22
24
0
07 Dec 2020
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for
  Identifying COVID-19 on Chest X-rays
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays
Angelica I Aviles-Rivero
P. Sellars
Carola-Bibiane Schönlieb
Nicolas Papadakis
DiffM
MedIm
SSL
17
30
0
30 Sep 2020
A Critic Evaluation of Methods for COVID-19 Automatic Detection from
  X-Ray Images
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
Gianluca Maguolo
L. Nanni
27
200
0
27 Apr 2020
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 Mazurowski
J. Lo
Ricardo Henao
Geoffrey D. Rubin
Lawrence Carin
17
68
0
12 Feb 2020
On the limits of cross-domain generalization in automated X-ray
  prediction
On the limits of cross-domain generalization in automated X-ray prediction
Joseph Paul Cohen
Mohammad Hashir
Rupert Brooks
H. Bertrand
OOD
46
127
0
06 Feb 2020
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
MedIm
GNN
39
56
0
31 Mar 2019
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
35
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
26
120
0
21 Mar 2018
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