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Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using
  Dual Convolutional Neural Networks
v1v2 (latest)

Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks

20 April 2018
Jonathan Rubin
Deepan Sanghavi
Claire Zhao
Kathy Lee
Ashequl Qadir
M. Xu-Wilson
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks"

35 / 35 papers shown
Title
Cross-Fundus Transformer for Multi-modal Diabetic Retinopathy Grading
  with Cataract
Cross-Fundus Transformer for Multi-modal Diabetic Retinopathy Grading with Cataract
Fan Xiao
Junlin Hou
Ruiwei Zhao
Rui Feng
Haidong Zou
Lina Lu
Yongjun Xu
Juzhao Zhang
MedIm
50
1
0
01 Nov 2024
Cardiovascular Disease Detection from Multi-View Chest X-rays with
  BI-Mamba
Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba
Zefan Yang
Jiajin Zhang
Ge Wang
Mannudeep K. Kalra
Pingkun Yan
Mamba
62
8
0
28 May 2024
Nodule detection and generation on chest X-rays: NODE21 Challenge
Nodule detection and generation on chest X-rays: NODE21 Challenge
Ecem Sogancioglu
Bram van Ginneken
F. Behrendt
M. Bengs
Alexander Schlaefer
...
N. Hendrix
Colin Jacobs
Ward Hendrix
Clara I. Sánchez
K. Murphy
66
9
0
04 Jan 2024
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
MedImViT
92
11
0
09 Oct 2023
CheXFusion: Effective Fusion of Multi-View Features using Transformers
  for Long-Tailed Chest X-Ray Classification
CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray Classification
Dongkyu Kim
ViTMedIm
46
13
0
08 Aug 2023
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised
  Attention Multiple Instance Learning
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
Zhe Huang
B. Wessler
M. C. Hughes
99
4
0
25 May 2023
Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field
  Fundus Images
Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Images
Junlin Hou
Jilan Xu
Fan Xiao
Ruiwei Zhao
Yuejie Zhang
H. Zou
Lina Lu
Wenwen Xue
Rui Feng
MedIm
89
10
0
26 Nov 2022
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest
  X-Rays using Transfer Learning and Fusion Strategies
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies
Ryan Wang
Li-Ching Chen
L. Moukheiber
Mira Moukheiber
Dana Moukheiber
...
Hari M. Trivedi
R. Steinberg
Po-Chih Kuo
J. Gichoya
Leo Anthony Celi
26
1
0
13 Nov 2022
Improving Chest X-Ray Classification by RNN-based Patient Monitoring
Improving Chest X-Ray Classification by RNN-based Patient Monitoring
D. Biesner
H. Schneider
Benjamin Wulff
U. Attenberger
R. Sifa
18
2
0
28 Oct 2022
Improving Radiology Report Generation Systems by Removing Hallucinated
  References to Non-existent Priors
Improving Radiology Report Generation Systems by Removing Hallucinated References to Non-existent Priors
Vignav Ramesh
Nathan Chi
Pranav Rajpurkar
MedIm
93
50
0
27 Sep 2022
Cardiomegaly Detection using Deep Convolutional Neural Network with
  U-Net
Cardiomegaly Detection using Deep Convolutional Neural Network with U-Net
Soham S. Sarpotdar
31
8
0
23 May 2022
Multi-View Hypercomplex Learning for Breast Cancer Screening
Multi-View Hypercomplex Learning for Breast Cancer Screening
Eleonora Lopez
Eleonora Grassucci
Martina Valleriani
Danilo Comminiello
103
8
0
12 Apr 2022
Chest X-Rays Image Classification from beta-Variational Autoencoders
  Latent Features
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features
L. Crespi
Daniele Loiacono
A. Chiti
20
4
0
29 Sep 2021
A distillation based approach for the diagnosis of diseases
A distillation based approach for the diagnosis of diseases
Hmrishav Bandyopadhyay
Shuvayan Ghosh Dastidar
Bisakh Mondal
Biplab Banerjee
N. Das
46
1
0
07 Aug 2021
Image Embedding and Model Ensembling for Automated Chest X-Ray
  Interpretation
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation
E. Giacomello
P. Lanzi
Daniele Loiacono
Luca Nassano
29
5
0
05 May 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
Multi-view analysis of unregistered medical images using cross-view
  transformers
Multi-view analysis of unregistered medical images using cross-view transformers
Gijs van Tulder
Yao Tong
E. Marchiori
ViT
103
59
0
21 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
Explaining the Black-box Smoothly- A Counterfactual Approach
Explaining the Black-box Smoothly- A Counterfactual Approach
Junyu Chen
Yong Du
Yufan He
W. Paul Segars
Ye Li
MedImFAtt
152
101
0
11 Jan 2021
Chest x-ray automated triage: a semiologic approach designed for
  clinical implementation, exploiting different types of labels through a
  combination of four Deep Learning architectures
Chest x-ray automated triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures
Candelaria Mosquera
F. N. Diaz
F. Binder
J. Rabellino
S. Benítez
A. Beresñak
A. Seehaus
Gabriel Ducrey
J. Ocantos
Daniela Luna
51
13
0
23 Dec 2020
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
103
11
0
21 Dec 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
19
2
0
13 Sep 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
COVID-19 Image Data Collection: Prospective Predictions Are the Future
COVID-19 Image Data Collection: Prospective Predictions Are the Future
Joseph Paul Cohen
Paul Morrison
Lan Dao
Karsten Roth
T. Duong
Marzyeh Ghassemi
96
780
0
22 Jun 2020
Automated Radiological Report Generation For Chest X-Rays With
  Weakly-Supervised End-to-End Deep Learning
Automated Radiological Report Generation For Chest X-Rays With Weakly-Supervised End-to-End Deep Learning
Shuai Zhang
Xiaoyan Xin
Yang Wang
Yachong Guo
Q. Hao
Xianfeng Yang
Jun Wang
Jian Zhang
Bing Zhang
Wei Wang
MedIm
27
1
0
18 Jun 2020
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
Mohammad Hashir
H. Bertrand
Joseph Paul Cohen
75
24
0
07 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
106
130
0
06 Feb 2020
Interpreting chest X-rays via CNNs that exploit hierarchical disease
  dependencies and uncertainty labels
Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels
Hieu H. Pham
T. Le
Dat Q. Tran
Dat Ngo
H. Nguyen
107
32
0
15 Nov 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
67
25
0
15 May 2019
Do Lateral Views Help Automated Chest X-ray Predictions?
Do Lateral Views Help Automated Chest X-ray Predictions?
H. Bertrand
Mohammad Hashir
Joseph Paul Cohen
MedIm
59
16
0
17 Apr 2019
Clinically Accurate Chest X-Ray Report Generation
Clinically Accurate Chest X-Ray Report Generation
Guanxiong Liu
T. Hsu
Matthew B. A. McDermott
Willie Boag
W. Weng
Peter Szolovits
Marzyeh Ghassemi
MedIm
121
278
0
04 Apr 2019
Age prediction using a large chest X-ray dataset
Age prediction using a large chest X-ray dataset
Alexandros Karargyris
Satyananda Kashyap
Joy T. Wu
Arjun Sharma
Mehdi Moradi
Tanveer Syeda-Mahmood
54
36
0
09 Mar 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and
  Expert Comparison
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
...
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
164
2,613
0
21 Jan 2019
Unsupervised Multimodal Representation Learning across Medical Images
  and Reports
Unsupervised Multimodal Representation Learning across Medical Images and Reports
T. Hsu
W. Weng
Willie Boag
Matthew B. A. McDermott
Peter Szolovits
SSL
77
35
0
21 Nov 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
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