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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"

50 / 63 papers shown
Title
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification
Youssef Mohamed
Noran Mohamed
Khaled Abouhashad
Feilong Tang
Sara Atito
Shoaib Jameel
Imran Razzak
A. Zaky
63
0
0
29 May 2025
In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models
In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models
Hu Wang
Ibrahim Almakky
Congbo Ma
Numan Saeed
Mohammad Yaqub
MoMe
132
0
0
27 Feb 2025
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
Chong Wang
Fengbei Liu
Yuanhong Chen
Helen Frazer
Gustavo Carneiro
123
2
0
07 Nov 2024
Computer-Aided Diagnosis of Thoracic Diseases in Chest X-rays using
  hybrid CNN-Transformer Architecture
Computer-Aided Diagnosis of Thoracic Diseases in Chest X-rays using hybrid CNN-Transformer Architecture
Sonit Singh
MedImViT
53
1
0
18 Apr 2024
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
92
0
0
14 Feb 2024
CADICA: a new dataset for coronary artery disease detection by using
  invasive coronary angiography
CADICA: a new dataset for coronary artery disease detection by using invasive coronary angiography
Ariadna Jiménez-Partinen
Miguel A. Molina-Cabello
Karl Thurnhofer-Hemsi
Esteban J. Palomo
Jorge Rodríguez-Capitán
A. I. Molina-Ramos
Manuel Jiménez-Navarro
45
10
0
01 Feb 2024
Decentralised, Collaborative, and Privacy-preserving Machine Learning
  for Multi-Hospital Data
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data
Cong Fang
Adam Dziedzic
Lin Zhang
Laura Oliva
A. Verma
Fahad Razak
Nicolas Papernot
Bo Wang
OOD
45
14
0
31 Jan 2024
A novel method to enhance pneumonia detection via a model-level
  ensembling of CNN and vision transformer
A novel method to enhance pneumonia detection via a model-level ensembling of CNN and vision transformer
S. Angara
Nishith Reddy Mannuru
Aashrith Mannuru
S. Thirunagaru
ViTMedIm
76
2
0
04 Jan 2024
Lung Diseases Image Segmentation using Faster R-CNNs
Lung Diseases Image Segmentation using Faster R-CNNs
Mihir Jain
19
0
0
10 Sep 2023
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray
  Classification
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification
Bin Wang
Hongyi Pan
Armstrong Aboah
Zheyu Zhang
Elif Keles
Drew Torigian
Baris Turkbey
Elizabeth A. Krupinski
Jayaram K. Udupa
Ulas Bagci
115
25
0
29 May 2023
Chest X-ray Image Classification: A Causal Perspective
Chest X-ray Image Classification: A Causal Perspective
Weizhi Nie
Chen Zhang
Dan Song
Lina Zhao
Yunru Bai
Keliang Xie
Anan Liu
CML
77
13
0
20 May 2023
BB-GCN: A Bi-modal Bridged Graph Convolutional Network for Multi-label
  Chest X-Ray Recognition
BB-GCN: A Bi-modal Bridged Graph Convolutional Network for Multi-label Chest X-Ray Recognition
Guoli Wang
Pingping Wang
Jinyu Cong
Kun-Meng Liu
Benzheng Wei
61
3
0
22 Feb 2023
Generating and Weighting Semantically Consistent Sample Pairs for
  Ultrasound Contrastive Learning
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning
Yixiong Chen
Chunhui Zhang
C. Ding
Li Liu
99
14
0
08 Dec 2022
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models
  for Training Thoracic Abnormality Classification Systems
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems
Kai Packhauser
Lukas Folle
Florian Thamm
Andreas Maier
DiffMMedIm
111
64
0
02 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
MedImViT
82
62
0
23 Oct 2022
Probabilistic Integration of Object Level Annotations in Chest X-ray
  Classification
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification
Tom van Sonsbeek
Xiantong Zhen
Dwarikanath Mahapatra
M. Worring
77
14
0
13 Oct 2022
EmbryosFormer: Deformable Transformer and Collaborative
  Encoding-Decoding for Embryos Stage Development Classification
EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification
Tien-Phat Nguyen
Trong-Thang Pham
Tri Minh Nguyen
Hung Le
Dung Nguyen
Hau Lam
Phong H. Nguyen
Jennifer Fowler
Minh-Triet Tran
Ngan Le
ViT
91
17
0
07 Oct 2022
ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical
  Prior Probability Maps for Thoracic Disease Classification
ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification
Md. Iqbal Hossain
Mohammad Zunaed
Md. Kawsar Ahmed
S. M. J. Hossain
Anwarul Hasan
Taufiq Hasan
ViT
85
7
0
06 Oct 2022
Deep Learning-based Anonymization of Chest Radiographs: A
  Utility-preserving Measure for Patient Privacy
Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy
Kai Packhauser
Sebastian Gündel
Florian Thamm
Felix Denzinger
Andreas Maier
56
4
0
23 Sep 2022
A simple normalization technique using window statistics to improve the
  out-of-distribution generalization on medical images
A simple normalization technique using window statistics to improve the out-of-distribution generalization on medical images
Chengfeng Zhou
Songchang Chen
Chenming Xu
Jun Wang
Feng Liu
Chun Zhang
Juan Ye
Hefeng Huang
Xiaobo Li
OOD
68
1
0
07 Jul 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
ViTMedIm
83
27
0
09 Jun 2022
External Attention Assisted Multi-Phase Splenic Vascular Injury
  Segmentation with Limited Data
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data
Yuyin Zhou
D. Dreizin
Yan Wang
Fengze Liu
Wei Shen
Alan Yuille
66
16
0
04 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 Cheng
OOD
60
94
0
23 Dec 2021
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Mintong Kang
Bowen Li
Zengle Zhu
Yongyi Lu
Elliot K. Fishman
Alan Yuille
Zongwei Zhou
94
18
0
25 Sep 2021
Robust Classification from Noisy Labels: Integrating Additional
  Knowledge for Chest Radiography Abnormality Assessment
Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment
Sebastian Gündel
A. Setio
Florin-Cristian Ghesu
Sasa Grbic
Bogdan Georgescu
Andreas Maier
Dorin Comaniciu
NoLa
70
28
0
12 Apr 2021
Deep Learning-based Patient Re-identification Is able to Exploit the
  Biometric Nature of Medical Chest X-ray Data
Deep Learning-based Patient Re-identification Is able to Exploit the Biometric Nature of Medical Chest X-ray Data
Kai Packhauser
Sebastian Gündel
Nicolas Münster
Christopher Syben
Vincent Christlein
Andreas Maier
OOD
91
48
0
15 Mar 2021
Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep
  Features
Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features
Antonio Sze-To
Abtin Riasatian
Hamid R. Tizhoosh
26
13
0
11 Feb 2021
Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted
  Labels
Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels
Jintai Chen
Hongyun Yu
Ruiwei Feng
Danny Chen
Jian Wu
48
13
0
09 Feb 2021
Beyond Fine-tuning: Classifying High Resolution Mammograms using
  Function-Preserving Transformations
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
Tao Wei
Angelica I Aviles-Rivero
Shuo Wang
Yuan Huang
F. Gilbert
Carola-Bibiane Schönlieb
Chen Chen
MedIm
50
18
0
20 Jan 2021
Multi-label Ranking: Mining Multi-label and Label Ranking Data
Multi-label Ranking: Mining Multi-label and Label Ranking Data
L. Dery
55
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
105
11
0
21 Dec 2020
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray
  Images
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images
M. J. Horry
Subrata Chakraborty
B. Pradhan
M. Paul
D. Gomes
Anwaar-ul Haq
54
11
0
10 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
OODMedIm
66
25
0
07 Dec 2020
Using Radiomics as Prior Knowledge for Thorax Disease Classification and
  Localization in Chest X-rays
Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays
Yan Han
Chongyan Chen
Liyan Tang
Mingquan Lin
Ajay Jaiswal
Song Wang
Ahmed H. Tewfik
George Shih
Ying Ding
Yifan Peng
LM&MA
108
10
0
25 Nov 2020
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated
  Using Progressively Growing GANs
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANs
Bradley Max Segal
D. Rubin
G. Rubin
Adam Pantanowitz
MedIm
87
37
0
07 Oct 2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition
Bias Field Poses a Threat to DNN-based X-Ray Recognition
Binyu Tian
Qing Guo
Felix Juefei Xu
W. L. Chan
Yupeng Cheng
Xiaohong Li
Xiaofei Xie
Shengchao Qin
AAMLAI4CE
105
33
0
19 Sep 2020
Interpretation of smartphone-captured radiographs utilizing a deep
  learning-based approach
Interpretation of smartphone-captured radiographs utilizing a deep learning-based approach
Hung Le
Phuong Nguyen
T. Nguyen
K. Le
Thanh-Thien Nguyen
MedIm
22
2
0
13 Sep 2020
Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray
  Abnormality Taxonomies
Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies
Haomin Chen
S. Miao
Daguang Xu
Gregory Hager
Adam P. Harrison
67
29
0
11 Sep 2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels
  for Universal Lesion Detection in CT
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT
K. Yan
Jinzheng Cai
Youjing Zheng
Adam P. Harrison
D. Jin
Youbao Tang
Yuxing Tang
Lingyun Huang
Jing Xiao
Le Lu
140
87
0
05 Sep 2020
A free web service for fast COVID-19 classification of chest X-Ray
  images
A free web service for fast COVID-19 classification of chest X-Ray images
J. D. B. Castro
Ricardo Rei
J. E. Ruiz
Pedro Marco Achanccaray Diaz
S. A. Canchumuni
C. M. Villalobos
Felipe Borges Coelho
L. Mendoza
M. Pacheco
45
0
0
27 Aug 2020
An Aggregate Method for Thorax Diseases Classification
An Aggregate Method for Thorax Diseases Classification
B. A. Nugroho
23
0
0
07 Aug 2020
Extracting and Leveraging Nodule Features with Lung Inpainting for Local
  Feature Augmentation
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation
S. Guendel
A. Setio
Sasa Grbic
Andreas Maier
Dorin Comaniciu
35
3
0
05 Aug 2020
Multi-label Thoracic Disease Image Classification with Cross-Attention
  Networks
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks
Congbo Ma
Hu Wang
Guosheng Lin
76
58
0
21 Jul 2020
Learning Visual Context by Comparison
Learning Visual Context by Comparison
Minchul Kim
Jongchan Park
Seil Na
C. Park
Donggeun Yoo
43
11
0
15 Jul 2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image
  Assessment
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment
Florin-Cristian Ghesu
Bogdan Georgescu
Awais Mansoor
Y. Yoo
Eli Gibson
...
Ramandeep Singh
S. Digumarthy
Mannudeep K. Kalra
Sasa Grbic
Dorin Comaniciu
UQCVEDL
63
55
0
08 Jul 2020
Adversarial Attack Vulnerability of Medical Image Analysis Systems:
  Unexplored Factors
Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors
Gerda Bortsova
C. González-Gonzalo
S. Wetstein
Florian Dubost
Ioannis Katramados
...
Bram van Ginneken
J. Pluim
M. Veta
Clara I. Sánchez
Marleen de Bruijne
AAMLMedIm
45
131
0
11 Jun 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Luyang Luo
Lequan Yu
Hao Chen
Quande Liu
Xi Wang
Jiaqi Xu
Pheng-Ann Heng
OOD
89
79
0
06 Jun 2020
Region Proposals for Saliency Map Refinement for Weakly-supervised
  Disease Localisation and Classification
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification
Renato Hermoza
Gabriel Maicas
Jacinto C. Nascimento
G. Carneiro
83
22
0
21 May 2020
Models Genesis
Models Genesis
Zongwei Zhou
V. Sodha
Jiaxuan Pang
Michael B. Gotway
Jianming Liang
MedIm
75
34
0
09 Apr 2020
Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels
Daizong Liu
Shuangjie Xu
Pan Zhou
Kun He
Wei Wei
Zichuan Xu
32
1
0
26 Feb 2020
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