ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1901.07042
  4. Cited By
MIMIC-CXR-JPG, a large publicly available database of labeled chest
  radiographs

MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

21 January 2019
Alistair E. W. Johnson
Tom Pollard
Nathaniel R. Greenbaum
M. Lungren
Chih-ying Deng
Yifan Peng
Zhiyong Lu
R. Mark
Seth Berkowitz
Steven Horng
    MedIm
ArXivPDFHTML

Papers citing "MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs"

50 / 450 papers shown
Title
Out-of-distribution Generalization in the Presence of Nuisance-Induced
  Spurious Correlations
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations
A. Puli
Lily H. Zhang
Eric K. Oermann
Rajesh Ranganath
OOD
OODD
27
48
0
29 Jun 2021
Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided Diagnosis
Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided Diagnosis
H. Zunair
A. Ben Hamza
OOD
23
3
0
17 Jun 2021
Contrastive Attention for Automatic Chest X-ray Report Generation
Contrastive Attention for Automatic Chest X-ray Report Generation
Fenglin Liu
Changchang Yin
Xian Wu
Shen Ge
Yuexian Zou
Ping Zhang
Yuexian Zou
Xu Sun
MedIm
16
146
0
13 Jun 2021
Exploring and Distilling Posterior and Prior Knowledge for Radiology
  Report Generation
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
Fenglin Liu
Xian Wu
Shen Ge
Wei Fan
Yuexian Zou
MedIm
37
249
0
13 Jun 2021
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic
  Disease Classification in Chest X-rays
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-rays
Uday Kamal
Mohammad Zunaed
N. Nizam
Taufiq Hasan
41
27
0
10 Jun 2021
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for
  Public Training
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training
Adam Yala
H. Esfahanizadeh
Rafael G. L. DÓliveira
K. Duffy
M. Ghobadi
Tommi Jaakkola
Vinod Vaikuntanathan
Regina Barzilay
Muriel Médard
OOD
FedML
34
22
0
04 Jun 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past,
  Present and Future
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt-Aristizabal
M. Armin
Simon Denman
Clinton Fookes
L. Petersson
18
178
0
27 May 2021
Weighing Features of Lung and Heart Regions for Thoracic Disease
  Classification
Weighing Features of Lung and Heart Regions for Thoracic Disease Classification
Jiansheng Fang
Yanwu Xu
Yitian Zhao
Yuguang Yan
Junling Liu
Jiang-Dong Liu
35
9
0
26 May 2021
Writing by Memorizing: Hierarchical Retrieval-based Medical Report
  Generation
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation
Xingyi Yang
Muchao Ye
Quanzeng You
Fenglong Ma
MedIm
24
38
0
25 May 2021
Matching Visual Features to Hierarchical Semantic Topics for Image
  Paragraph Captioning
Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning
D. Guo
Ruiying Lu
Bo Chen
Zequn Zeng
Mingyuan Zhou
VLM
25
9
0
10 May 2021
Structured dataset documentation: a datasheet for CheXpert
Structured dataset documentation: a datasheet for CheXpert
Christian Garbin
Pranav Rajpurkar
Jeremy Irvin
M. Lungren
Oge Marques
22
15
0
07 May 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
17
5
0
05 May 2021
Towards Semantic Interpretation of Thoracic Disease and COVID-19
  Diagnosis Models
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models
Ashkan Khakzar
Sabrina Musatian
Jonas Buchberger
Icxel Valeriano Quiroz
Nikolaus Pinger
Soroosh Baselizadeh
Seong Tae Kim
Nassir Navab
9
13
0
04 Apr 2021
Effect of Radiology Report Labeler Quality on Deep Learning Models for
  Chest X-Ray Interpretation
Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation
Saahil Jain
Akshay Smit
A. Ng
Pranav Rajpurkar
20
9
0
01 Apr 2021
Explaining COVID-19 and Thoracic Pathology Model Predictions by
  Identifying Informative Input Features
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features
Ashkan Khakzar
Yang Zhang
W. Mansour
Yuezhi Cai
Yawei Li
Yucheng Zhang
Seong Tae Kim
Nassir Navab
FAtt
52
17
0
01 Apr 2021
Vulnerability Due to Training Order in Split Learning
Vulnerability Due to Training Order in Split Learning
Harshit Madaan
M. Gawali
V. Kulkarni
Aniruddha Pant
FedML
24
6
0
26 Mar 2021
Channel Scaling: A Scale-and-Select Approach for Transfer Learning
Channel Scaling: A Scale-and-Select Approach for Transfer Learning
Ken C. L. Wong
Satyananda Kashyap
Mehdi Moradi
22
3
0
22 Mar 2021
An Empirical Framework for Domain Generalization in Clinical Settings
An Empirical Framework for Domain Generalization in Clinical Settings
Haoran Zhang
Natalie Dullerud
Laleh Seyyed-Kalantari
Q. Morris
Shalmali Joshi
Marzyeh Ghassemi
OOD
AI4CE
29
59
0
20 Mar 2021
Variational Knowledge Distillation for Disease Classification in Chest
  X-Rays
Variational Knowledge Distillation for Disease Classification in Chest X-Rays
Tom van Sonsbeek
Xiantong Zhen
M. Worring
Ling Shao
21
13
0
19 Mar 2021
CheXseen: Unseen Disease Detection for Deep Learning Interpretation of
  Chest X-rays
CheXseen: Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays
Siyu Shi
Ishaan Malhi
Ke M. Tran
A. Ng
Pranav Rajpurkar
16
4
0
08 Mar 2021
Multimodal Representation Learning via Maximization of Local Mutual
  Information
Multimodal Representation Learning via Maximization of Local Mutual Information
Ruizhi Liao
Daniel Moyer
Miriam Cha
Keegan Quigley
Seth Berkowitz
Steven Horng
Polina Golland
W. Wells
SSL
21
41
0
08 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
VisualCheXbert: Addressing the Discrepancy Between Radiology Report
  Labels and Image Labels
VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels
Saahil Jain
Akshay Smit
Steven QH Truong
C. Nguyen
Minh-Thanh Huynh
Mudit Jain
Victoria A Young
A. Ng
M. Lungren
Pranav Rajpurkar
MedIm
19
28
0
23 Feb 2021
Non-Convex Optimization with Spectral Radius Regularization
Non-Convex Optimization with Spectral Radius Regularization
Adam Sandler
Diego Klabjan
Yuan Luo
ODL
14
1
0
22 Feb 2021
Progressive Transformer-Based Generation of Radiology Reports
Progressive Transformer-Based Generation of Radiology Reports
Farhad Nooralahzadeh
Nicolas Andres Perez Gonzalez
T. Frauenfelder
Koji Fujimoto
Michael Krauthammer
ViT
MedIm
23
85
0
19 Feb 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to
  Counterfactual Generation for Chest X-rays
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays
Joseph Paul Cohen
Rupert Brooks
Sovann En
Evan Zucker
Anuj Pareek
M. Lungren
Akshay S. Chaudhari
FAtt
MedIm
37
4
0
18 Feb 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
22
13
0
11 Feb 2021
Federated Deep AUC Maximization for Heterogeneous Data with a Constant
  Communication Complexity
Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity
Zhuoning Yuan
Zhishuai Guo
Yi Tian Xu
Yiming Ying
Tianbao Yang
FedML
21
35
0
09 Feb 2021
Key Technology Considerations in Developing and Deploying Machine
  Learning Models in Clinical Radiology Practice
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice
V. Kulkarni
M. Gawali
A. Kharat
VLM
51
21
0
03 Feb 2021
Diagnostic Captioning: A Survey
Diagnostic Captioning: A Survey
John Pavlopoulos
Vasiliki Kougia
Ion Androutsopoulos
D. Papamichail
3DV
MedIm
91
26
0
18 Jan 2021
COVID-19 Prognosis via Self-Supervised Representation Learning and
  Multi-Image Prediction
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction
Anuroop Sriram
Matthew Muckley
Koustuv Sinha
Farah E. Shamout
Joelle Pineau
Krzysztof J. Geras
Lea Azour
Y. Aphinyanaphongs
N. Yakubova
W. Moore
MedIm
134
64
0
13 Jan 2021
Explainability Matters: Backdoor Attacks on Medical Imaging
Explainability Matters: Backdoor Attacks on Medical Imaging
Munachiso Nwadike
Takumi Miyawaki
Esha Sarkar
Michail Maniatakos
Farah E. Shamout
AAML
18
13
0
30 Dec 2020
Deep Learning Methods for Screening Pulmonary Tuberculosis Using Chest
  X-rays
Deep Learning Methods for Screening Pulmonary Tuberculosis Using Chest X-rays
Chirath Dasanayakaa
M. B. Dissanayake
LM&MA
4
40
0
25 Dec 2020
Comparison of Privacy-Preserving Distributed Deep Learning Methods in
  Healthcare
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare
M. Gawali
S. ArvindC.
Shriya Suryavanshi
Harshit Madaan
A. Gaikwad
KN BhanuPrakash
V. Kulkarni
Aniruddha Pant
FedML
24
35
0
23 Dec 2020
Objective Evaluation of Deep Uncertainty Predictions for COVID-19
  Detection
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection
Hamzeh Asgharnezhad
Afshar Shamsi Jokandan
R. Alizadehsani
Abbas Khosravi
S. Nahavandi
Z. Sani
D. Srinivasan
UQCV
36
70
0
22 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
30
10
0
21 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
26
9
0
25 Nov 2020
Extracting and Learning Fine-Grained Labels from Chest Radiographs
Extracting and Learning Fine-Grained Labels from Chest Radiographs
T. Syeda-Mahmood
Ph. D
Ken C. L. Wong
Ph. D
Joy T. Wu
...
M. P. H
A. Jadhav
Ph. D
Orest Boyko
M. D. Ph. D
25
7
0
18 Nov 2020
Generating Radiology Reports via Memory-driven Transformer
Generating Radiology Reports via Memory-driven Transformer
Zhihong Chen
Yan Song
Tsung-Hui Chang
Xiang Wan
MedIm
30
461
0
30 Oct 2020
On the diminishing return of labeling clinical reports
On the diminishing return of labeling clinical reports
Jean-Baptiste Lamare
Tobi Olatunji
Linxing Yao
26
2
0
27 Oct 2020
High resolution weakly supervised localization architectures for medical
  images
High resolution weakly supervised localization architectures for medical images
Konpat Preechakul
S. Sriswasdi
B. Kijsirikul
Ekapol Chuangsuwanich
WSOL
9
3
0
22 Oct 2020
A Survey on Deep Learning and Explainability for Automatic Report
  Generation from Medical Images
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images
Pablo Messina
Pablo Pino
Denis Parra
Alvaro Soto
Cecilia Besa
S. Uribe
Marcelo andía
C. Tejos
Claudia Prieto
Daniel Capurro
MedIm
36
62
0
20 Oct 2020
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image
  Translation
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation
H. Zunair
A. Ben Hamza
MedIm
48
39
0
20 Oct 2020
A generalized deep learning model for multi-disease Chest X-Ray
  diagnostics
A generalized deep learning model for multi-disease Chest X-Ray diagnostics
Nabit A. Bajwa
Kedar Bajwa
A. Rana
Muhammad Faique Shakeel
K. Haqqi
Suleiman A. Khan
OOD
21
0
0
17 Oct 2020
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability
  of Chest X-ray Models
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models
Hari Sowrirajan
Jingbo Yang
A. Ng
Pranav Rajpurkar
26
86
0
11 Oct 2020
Contrastive Cross-Modal Pre-Training: A General Strategy for Small
  Sample Medical Imaging
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging
G. Liang
Connor Greenwell
Yu Zhang
Xiaoqin Wang
Ramakanth Kavuluru
Nathan Jacobs
42
21
0
06 Oct 2020
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on
  Chest X-rays
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays
Jianmo Ni
Chun-Nan Hsu
Amilcare Gentili
Julian McAuley
MedIm
32
30
0
06 Oct 2020
Self-Guided Multiple Instance Learning for Weakly Supervised Disease
  Classification and Localization in Chest Radiographs
Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs
C. Seibold
Jens Kleesiek
H. Schlemmer
Rainer Stiefelhagen
SSL
18
6
0
30 Sep 2020
Potential Features of ICU Admission in X-ray Images of COVID-19 Patients
Potential Features of ICU Admission in X-ray Images of COVID-19 Patients
D. Gomes
Anwaar Ulhaq
M. Paul
M. J. Horry
Subrata Chakraborty
M. Saha
Tanmoy Debnath
D. M. Motiur
24
9
0
26 Sep 2020
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing
  Shortcuts
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts
Sarah Jabbour
David Fouhey
Ella Kazerooni
Michael Sjoding
Jenna Wiens
OOD
20
47
0
21 Sep 2020
Previous
123456789
Next