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Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases

Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases

Zaid Nabulsi
Andrew Sellergren
Shahar Jamshy
Charles Lau
E. Santos
A. Király
Wenxing Ye
Jie Yang
Rory Pilgrim
Sahar Kazemzadeh
Jin Yu
Raju Kalidindi
M. Etemadi
F. G. Vicente
David S. Melnick
G. Corrado
L. Peng
Krish Eswaran
Daniel Tse
Neeral Beladia
Yun-Hui Liu
Po-Hsuan Cameron Chen
S. Shetty
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Papers citing "Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases"

5 / 5 papers shown
Title
A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine
A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine
Hanguang Xiao
Feizhong Zhou
Xianglong Liu
Tianqi Liu
Zhipeng Li
Xin Liu
Xiaoxuan Huang
AILaw
LM&MA
LRM
93
25
0
31 Dec 2024
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Veronika Cheplygina
Cathrine Damgaard
Dovile Juodelyte
Veronika Cheplygina
Amelia Jiménez-Sánchez
96
4
0
05 Sep 2023
Likelihood Ratios for Out-of-Distribution Detection
Likelihood Ratios for Out-of-Distribution Detection
Jie Jessie Ren
Peter J. Liu
Emily Fertig
Jasper Snoek
Ryan Poplin
M. DePristo
Joshua V. Dillon
Balaji Lakshminarayanan
OODD
178
720
0
07 Jun 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
110
2,583
0
21 Jan 2019
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
178
2,393
0
10 Jul 2017

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