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CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep
  Learning

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

14 November 2017
Pranav Rajpurkar
Jeremy Irvin
Kaylie Zhu
Brandon Yang
Hershel Mehta
Tony Duan
D. Ding
Aarti Bagul
C. Langlotz
K. Shpanskaya
M. Lungren
A. Ng
    LM&MA
ArXivPDFHTML

Papers citing "CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning"

50 / 241 papers shown
Title
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray
  Images
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images
Aakarsh Malhotra
S. Mittal
P. Majumdar
S. Chhabra
K. Thakral
Mayank Vatsa
Richa Singh
S. Chaudhury
Ashwin Pudrod
A. Agrawal
27
60
0
03 Aug 2020
Weakly supervised one-stage vision and language disease detection using
  large scale pneumonia and pneumothorax studies
Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies
Leo K. Tam
Xiaosong Wang
E. Turkbey
Kevin Lu
Yuhong Wen
Daguang Xu
31
13
0
31 Jul 2020
DEAL: Deep Evidential Active Learning for Image Classification
DEAL: Deep Evidential Active Learning for Image Classification
Patrick Hemmer
Niklas Kühl
Jakob Schöffer
33
37
0
22 Jul 2020
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision
Siddharth Biswal
Peiye Zhuang
A. Pyrros
Nasir Siddiqui
Oluwasanmi Koyejo
Jimeng Sun
MedIm
27
5
0
10 Jul 2020
Automated Detection of COVID-19 from CT Scans Using Convolutional Neural
  Networks
Automated Detection of COVID-19 from CT Scans Using Convolutional Neural Networks
R. Lokwani
A. Gaikwad
V. Kulkarni
Aniruddha Pant
A. Kharat
28
21
0
23 Jun 2020
Stacked Convolutional Neural Network for Diagnosis of COVID-19 Disease
  from X-ray Images
Stacked Convolutional Neural Network for Diagnosis of COVID-19 Disease from X-ray Images
Mahesh Gour
Sweta Jain
8
37
0
22 Jun 2020
Advance Warning Methodologies for COVID-19 using Chest X-Ray Images
Advance Warning Methodologies for COVID-19 using Chest X-Ray Images
Mete Ahishali
A. Degerli
Mehmet Yamaç
S. Kiranyaz
M. Chowdhury
Khalid Hameed
Tahir Hamid
Rashid Mazhar
Moncef Gabbouj
OOD
20
21
0
07 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
27
75
0
06 Jun 2020
Automatic classification between COVID-19 pneumonia, non-COVID-19
  pneumonia, and the healthy on chest X-ray image: combination of data
  augmentation methods
Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods
Mizuho Nishio
Shunjiro Noguchi
Hidetoshi Matsuo
T. Murakami
9
128
0
01 Jun 2020
SDCT-AuxNet$^θ$: DCT Augmented Stain Deconvolutional CNN with
  Auxiliary Classifier for Cancer Diagnosis
SDCT-AuxNetθ^θθ: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis
S. Gehlot
Anubha Gupta
Ritu Gupta
MedIm
11
54
0
30 May 2020
Deep Learning for Automatic Pneumonia Detection
Deep Learning for Automatic Pneumonia Detection
Tatiana Gabruseva
D. Poplavskiy
Alexandr A Kalinin
16
102
0
28 May 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 Ngo
Dat Q. Tran
H. Nguyen
31
163
0
25 May 2020
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning
Joseph Paul Cohen
Lan Dao
Paul Morrison
Karsten Roth
Yoshua Bengio
...
A. Abbasi
M. Hoshmand-Kochi
Marzyeh Ghassemi
Haifang Li
T. Duong
35
222
0
24 May 2020
Semi-supervised Medical Image Classification with Relation-driven
  Self-ensembling Model
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model
Quande Liu
Lequan Yu
Luyang Luo
Qi Dou
Pheng Ann Heng
30
220
0
15 May 2020
Context Learning for Bone Shadow Exclusion in CheXNet Accuracy
  Improvement
Context Learning for Bone Shadow Exclusion in CheXNet Accuracy Improvement
Chuong Huynh
Trung-Hieu Nguyen
M. Tran
MedIm
11
4
0
13 May 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community
  Acquired Pneumonia
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia
Xi Ouyang
Jiayu Huo
L. Xia
F. Shan
Jun Liu
...
Xiaohuan Cao
Yaozong Gao
Dijia Wu
Qian Wang
Dinggang Shen
24
312
0
06 May 2020
Understanding and Improving Information Transfer in Multi-Task Learning
Understanding and Improving Information Transfer in Multi-Task Learning
Sen Wu
Hongyang R. Zhang
Christopher Ré
18
154
0
02 May 2020
A Deep Convolutional Neural Network for COVID-19 Detection Using Chest
  X-Rays
A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-Rays
P. R. Bassi
R. Attux
MedIm
22
144
0
30 Apr 2020
Zero-Shot Learning and its Applications from Autonomous Vehicles to
  COVID-19 Diagnosis: A Review
Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review
Mahdi Rezaei
Mahsa Shahidi
29
53
0
29 Apr 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
CovidAID: COVID-19 Detection Using Chest X-Ray
CovidAID: COVID-19 Detection Using Chest X-Ray
Arpan Mangal
Surya Kalia
Harish Rajgopal
K. Rangarajan
Vinay P. Namboodiri
Subhashis Banerjee
Chetan Arora
OOD
20
150
0
21 Apr 2020
Automatic detection of acute ischemic stroke using non-contrast computed
  tomography and two-stage deep learning model
Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model
Mizuho Nishio
S. Koyasu
Shunjiro Noguchi
T. Kiguchi
Kanako Nakatsu
T. Akasaka
Hiroki Yamada
K. Itoh
6
44
0
09 Apr 2020
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using
  Chest X-rays
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays
Xin Li
Chengyin Li
D. Zhu
24
79
0
06 Apr 2020
MUXConv: Information Multiplexing in Convolutional Neural Networks
MUXConv: Information Multiplexing in Convolutional Neural Networks
Zhichao Lu
Kalyanmoy Deb
Vishnu Boddeti
22
44
0
31 Mar 2020
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Xingyi Yang
Xuehai He
Jinyu Zhao
Yichen Zhang
Shanghang Zhang
P. Xie
34
842
0
30 Mar 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OOD
AI4CE
40
120
0
26 Mar 2020
End-to-End Deep Diagnosis of X-ray Images
End-to-End Deep Diagnosis of X-ray Images
Kudaibergen Urinbayev
Yerassyl Orazbek
Yernur Nurambek
A. Mirzakhmetov
H. A. Varol
MedIm
28
12
0
19 Mar 2020
Comparing Different Deep Learning Architectures for Classification of
  Chest Radiographs
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs
Keno K. Bressem
Lisa Christine Adams
C. Erxleben
B. Hamm
S. Niehues
J. Vahldiek
19
167
0
20 Feb 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers
CheXclusion: Fairness gaps in deep chest X-ray classifiers
Laleh Seyyed-Kalantari
Guanxiong Liu
Matthew B. A. McDermott
Irene Y. Chen
Marzyeh Ghassemi
OOD
25
284
0
14 Feb 2020
An interpretable classifier for high-resolution breast cancer screening
  images utilizing weakly supervised localization
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Yiqiu Shen
Nan Wu
Jason Phang
Jungkyu Park
Kangning Liu
...
Laura Heacock
S. G. Kim
Linda Moy
Kyunghyun Cho
Krzysztof J. Geras
21
168
0
13 Feb 2020
Advances in Deep Space Exploration via Simulators & Deep Learning
Advances in Deep Space Exploration via Simulators & Deep Learning
James Bird
Linda R. Petzold
P. Lubin
Dulia Deacon
6
15
0
10 Feb 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
20
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
46
127
0
06 Feb 2020
Localization of Critical Findings in Chest X-Ray without Local
  Annotations Using Multi-Instance Learning
Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning
Evan Schwab
A. Gooßen
Hrishikesh Deshpande
A. Saalbach
4
19
0
23 Jan 2020
Continual Learning for Domain Adaptation in Chest X-ray Classification
Continual Learning for Domain Adaptation in Chest X-ray Classification
Matthias Lenga
H. Schulz
A. Saalbach
OOD
8
61
0
16 Jan 2020
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation
  and Analysis
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
Mahendra Khened
Avinash Kori
Haran Rajkumar
Balaji Srinivasan
Ganapathy Krishnamurthi
MedIm
LM&MA
217
166
0
01 Jan 2020
Split Learning for collaborative deep learning in healthcare
Split Learning for collaborative deep learning in healthcare
M. Poirot
Praneeth Vepakomma
Ken Chang
Jayashree Kalpathy-Cramer
Rajiv Gupta
Ramesh Raskar
FedML
OOD
34
135
0
27 Dec 2019
Targeted transfer learning to improve performance in small medical
  physics datasets
Targeted transfer learning to improve performance in small medical physics datasets
M. Romero
Y. Interian
T. Solberg
Gilmer Valdes
OOD
30
47
0
14 Dec 2019
Artificial Intelligence-Based Image Classification for Diagnosis of Skin
  Cancer: Challenges and Opportunities
Artificial Intelligence-Based Image Classification for Diagnosis of Skin Cancer: Challenges and Opportunities
Manu Goyal
T. Knackstedt
Shaofeng Yan
Saeed Hassanpour
28
110
0
26 Nov 2019
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology
Amirata Ghorbani
Vivek Natarajan
David Coz
Yuan Liu
GAN
MedIm
21
98
0
20 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
18
104
0
13 Nov 2019
Hidden Stratification Causes Clinically Meaningful Failures in Machine
  Learning for Medical Imaging
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging
Luke Oakden-Rayner
Jared A. Dunnmon
G. Carneiro
Christopher Ré
OOD
21
373
0
27 Sep 2019
Identifying Pediatric Vascular Anomalies With Deep Learning
Identifying Pediatric Vascular Anomalies With Deep Learning
Justin Chan
Sharat Raju
Randall Bly
J. Perkins
Shyamnath Gollakota
30
2
0
16 Sep 2019
Can we trust deep learning models diagnosis? The impact of domain shift
  in chest radiograph classification
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification
E. Pooch
P. Ballester
Rodrigo C. Barros
OOD
43
120
0
03 Sep 2019
Exploring large scale public medical image datasets
Exploring large scale public medical image datasets
Luke Oakden-Rayner
18
171
0
30 Jul 2019
Developing an App to interpret Chest X-rays to support the diagnosis of
  respiratory pathology with Artificial Intelligence
Developing an App to interpret Chest X-rays to support the diagnosis of respiratory pathology with Artificial Intelligence
A. Elkins
F. Freitas
V. Sanz
24
10
0
26 Jun 2019
Vispi: Automatic Visual Perception and Interpretation of Chest X-rays
Vispi: Automatic Visual Perception and Interpretation of Chest X-rays
X. Li
Rui Cao
D. Zhu
13
20
0
12 Jun 2019
Generation of Multimodal Justification Using Visual Word Constraint
  Model for Explainable Computer-Aided Diagnosis
Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis
Hyebin Lee
S. T. Kim
Yong Man Ro
MedIm
26
44
0
10 Jun 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by
  Adversarial Machine Learning and The Way Forward
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward
A. Qayyum
Muhammad Usama
Junaid Qadir
Ala I. Al-Fuqaha
AAML
21
187
0
29 May 2019
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly
  Detection in Retinal OCT
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT
Philipp Seeböck
J. Orlando
T. Schlegl
S. Waldstein
Hrvoje Bogunović
S. Klimscha
Georg Langs
U. Schmidt-Erfurth
UQCV
10
134
0
29 May 2019
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