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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
FactReranker: Fact-guided Reranker for Faithful Radiology Report
  Summarization
FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization
Qianqian Xie
Jiayu Zhou
Yifan Peng
Fei Wang
HILM
MedIm
42
10
0
15 Mar 2023
Optimizing Federated Learning for Medical Image Classification on
  Distributed Non-iid Datasets with Partial Labels
Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels
Pranav Kulkarni
Adway U. Kanhere
Paul H. Yi
V. Parekh
OOD
FedML
22
3
0
10 Mar 2023
Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays
Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays
Daeun Kyung
Kyungmin Jo
Jaegul Choo
Joonseok Lee
Edward Choi
10
15
0
09 Mar 2023
Attention-based Saliency Maps Improve Interpretability of Pneumothorax
  Classification
Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification
Alessandro Wollek
Robert Graf
Saša Čečatka
N. Fink
Theresa Willem
B. Sabel
Tobias Lasser
23
27
0
03 Mar 2023
Improving Medical Speech-to-Text Accuracy with Vision-Language
  Pre-training Model
Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model
Jaeyoung Huh
Sangjoon Park
Jeonghyeon Lee
Jong Chul Ye
LM&MA
25
9
0
27 Feb 2023
MDF-Net for abnormality detection by fusing X-rays with clinical data
MDF-Net for abnormality detection by fusing X-rays with clinical data
Chih-Jou Hsieh
Isabel Blanco Nobre
Sandra Costa Sousa
Chun Ouyang
M. Brereton
Jacinto C. Nascimento
Joaquim A. Jorge
Catarina Moreira
18
8
0
26 Feb 2023
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical
  Notes with Large Language Models
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models
Denis Jered McInerney
Geoffrey S. Young
Jan-Willem van de Meent
Byron C. Wallace
15
18
0
23 Feb 2023
Interpretable Medical Image Visual Question Answering via Multi-Modal
  Relationship Graph Learning
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning
Xinyue Hu
Lin Gu
Kazuma Kobayashi
Qi A. An
Qingyu Chen
Zhiyong Lu
Chang Su
Tatsuya Harada
Yingying Zhu
GNN
34
9
0
19 Feb 2023
Beyond Distribution Shift: Spurious Features Through the Lens of
  Training Dynamics
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics
Nihal Murali
A. Puli
Ke Yu
Rajesh Ranganath
Kayhan Batmanghelich
AAML
43
8
0
18 Feb 2023
Towards Unifying Medical Vision-and-Language Pre-training via Soft
  Prompts
Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
Zhihong Chen
Shizhe Diao
Benyou Wang
Guanbin Li
Xiang Wan
MedIm
27
29
0
17 Feb 2023
Integrating Eye-Gaze Data into CXR DL Approaches: A Preliminary study
Integrating Eye-Gaze Data into CXR DL Approaches: A Preliminary study
André Luís
Chih-Jou Hsieh
Isabel Blanco Nobre
Sandra Costa Sousa
Anderson Maciel
Catarina Moreira
Joaquim A. Jorge
32
6
0
06 Feb 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI
  models in medical imaging
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
Soroosh Tayebi Arasteh
Alexander Ziller
Christiane Kuhl
Marcus R. Makowski
S. Nebelung
R. Braren
Daniel Rueckert
Daniel Truhn
Georgios Kaissis
MedIm
39
18
0
03 Feb 2023
Fairness and Accuracy under Domain Generalization
Fairness and Accuracy under Domain Generalization
Thai-Hoang Pham
Xueru Zhang
Ping Zhang
32
21
0
30 Jan 2023
Advancing Radiograph Representation Learning with Masked Record Modeling
Advancing Radiograph Representation Learning with Masked Record Modeling
Hong-Yu Zhou
Chenyu Lian
Lian-cheng Wang
Yizhou Yu
MedIm
38
55
0
30 Jan 2023
Exploring Image Augmentations for Siamese Representation Learning with
  Chest X-Rays
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays
Rogier van der Sluijs
Nandita Bhaskhar
D. Rubin
C. Langlotz
Akshay S. Chaudhari
SSL
42
13
0
30 Jan 2023
Multimodal Explainability via Latent Shift applied to COVID-19
  stratification
Multimodal Explainability via Latent Shift applied to COVID-19 stratification
V. Guarrasi
L. Tronchin
Domenico Albano
E. Faiella
Deborah Fazzini
D. Santucci
Paolo Soda
29
22
0
28 Dec 2022
Predicting Ejection Fraction from Chest X-rays Using Computer Vision for
  Diagnosing Heart Failure
Predicting Ejection Fraction from Chest X-rays Using Computer Vision for Diagnosing Heart Failure
Walt Williams
Rohan Doshi
Yanran Li
Kexuan Liang
25
0
0
19 Dec 2022
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging
  Diverse Data for More Accurate Diagnosis
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis
Firas Khader
Gustav Mueller-Franzes
Tian Wang
T. Han
Soroosh Tayebi Arasteh
...
Keno Bressem
Christiane Kuhl
S. Nebelung
Jakob Nikolas Kather
Daniel Truhn
16
6
0
18 Dec 2022
TIER: Text-Image Entropy Regularization for CLIP-style models
TIER: Text-Image Entropy Regularization for CLIP-style models
Anil Palepu
Andrew L. Beam
MedIm
26
6
0
13 Dec 2022
A Survey on Medical Document Summarization
A Survey on Medical Document Summarization
Raghav Jain
Anubhav Jangra
S. Saha
Adam Jatowt
3DGS
MedIm
44
19
0
03 Dec 2022
Multi-Label Chest X-Ray Classification via Deep Learning
Multi-Label Chest X-Ray Classification via Deep Learning
A. Pillai
OOD
19
18
0
27 Nov 2022
Collaborative Training of Medical Artificial Intelligence Models with
  non-uniform Labels
Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels
Soroosh Tayebi Arasteh
P. Isfort
Marwin Saehn
Gustav Mueller-Franzes
Firas Khader
Jakob Nikolas Kather
Christiane Kuhl
S. Nebelung
Daniel Truhn
FedML
35
15
0
24 Nov 2022
Private Multi-Winner Voting for Machine Learning
Private Multi-Winner Voting for Machine Learning
Adam Dziedzic
Christopher A. Choquette-Choo
Natalie Dullerud
Vinith Suriyakumar
Ali Shahin Shamsabadi
Muhammad Ahmad Kaleem
S. Jha
Nicolas Papernot
Xiao Wang
42
1
0
23 Nov 2022
Self adaptive global-local feature enhancement for radiology report
  generation
Self adaptive global-local feature enhancement for radiology report generation
Yuhao Wang
Kai Wang
Xiaohong Liu
Tianrun Gao
Jingyue Zhang
Guangyu Wang
MedIm
44
13
0
21 Nov 2022
Lesion Guided Explainable Few Weak-shot Medical Report Generation
Lesion Guided Explainable Few Weak-shot Medical Report Generation
Jinghan Sun
Dong Wei
Liansheng Wang
Yefeng Zheng
MedIm
24
12
0
16 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
16
1
0
13 Nov 2022
From Competition to Collaboration: Making Toy Datasets on Kaggle
  Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning
From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning
Pranav Kulkarni
Adway U. Kanhere
Paul H. Yi
V. Parekh
FedML
18
2
0
11 Nov 2022
Towards Reliable Zero Shot Classification in Self-Supervised Models with
  Conformal Prediction
Towards Reliable Zero Shot Classification in Self-Supervised Models with Conformal Prediction
Bhawesh Kumar
Anil Palepu
Rudraksh Tuwani
Andrew L. Beam
28
8
0
27 Oct 2022
Does Medical Imaging learn different Convolution Filters?
Does Medical Imaging learn different Convolution Filters?
Paul Gavrikov
J. Keuper
VLM
OOD
14
2
0
25 Oct 2022
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy
  Medical Imaging
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging
A. Jaiswal
Kumar Ashutosh
Justin F. Rousseau
Yifan Peng
Zhangyang Wang
Ying Ding
20
9
0
15 Oct 2022
Improving Radiology Summarization with Radiograph and Anatomy Prompts
Improving Radiology Summarization with Radiograph and Anatomy Prompts
Jinpeng Hu
Zhihong Chen
Yang Liu
Xiang Wan
Tsung-Hui Chang
MedIm
39
8
0
15 Oct 2022
That's the Wrong Lung! Evaluating and Improving the Interpretability of
  Unsupervised Multimodal Encoders for Medical Data
That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data
Denis Jered McInerney
Geoffrey S. Young
Jan-Willem van de Meent
Byron C. Wallace
18
0
0
12 Oct 2022
A survey of Identification and mitigation of Machine Learning
  algorithmic biases in Image Analysis
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis
Laurent Risser
Agustin Picard
Lucas Hervier
Jean-Michel Loubes
FaML
38
5
0
10 Oct 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging
MEDFAIR: Benchmarking Fairness for Medical Imaging
Yongshuo Zong
Yongxin Yang
Timothy M. Hospedales
OOD
81
59
0
04 Oct 2022
Nuisances via Negativa: Adjusting for Spurious Correlations via Data
  Augmentation
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation
A. Puli
Nitish Joshi
Yoav Wald
Hera Y. He
Rajesh Ranganath
43
16
0
04 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
36
49
0
27 Sep 2022
Align, Reason and Learn: Enhancing Medical Vision-and-Language
  Pre-training with Knowledge
Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with Knowledge
Zhihong Chen
Guanbin Li
Xiang Wan
127
65
0
15 Sep 2022
Learning to diagnose common thorax diseases on chest radiographs from
  radiology reports in Vietnamese
Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese
Thao T. B. Nguyen
T. M. Vo
Thang V. Nguyen
Hieu H. Pham
H. Nguyen
23
4
0
11 Sep 2022
Representative Image Feature Extraction via Contrastive Learning
  Pretraining for Chest X-ray Report Generation
Representative Image Feature Extraction via Contrastive Learning Pretraining for Chest X-ray Report Generation
Yu-Jen Chen
Wei-Hsiang Shen
Hao-Wei Chung
Jing-Hao Chiu
Da-Cheng Juan
T. Ho
Chin-Tung Cheng
Meng Li
Tsung-Yi Ho
MedIm
13
12
0
04 Sep 2022
A Medical Semantic-Assisted Transformer for Radiographic Report
  Generation
A Medical Semantic-Assisted Transformer for Radiographic Report Generation
Zhanyu Wang
Mingkang Tang
Lei Wang
Xiu Li
Luping Zhou
ViT
MedIm
29
57
0
22 Aug 2022
Recent Progress in Transformer-based Medical Image Analysis
Recent Progress in Transformer-based Medical Image Analysis
Zhao-cheng Liu
Qiujie Lv
Ziduo Yang
Yifan Li
Chau Hung Lee
Leizhao Shen
MedIm
47
58
0
13 Aug 2022
Using Multi-modal Data for Improving Generalizability and Explainability
  of Disease Classification in Radiology
Using Multi-modal Data for Improving Generalizability and Explainability of Disease Classification in Radiology
Pranav Agnihotri
Sara Ketabi
Khashayar Namdar
Namdar
Farzad Khalvati
19
2
0
29 Jul 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing
  Methods
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods
Ricards Marcinkevics
Ece Ozkan
Julia E. Vogt
30
18
0
26 Jul 2022
Localization supervision of chest x-ray classifiers using label-specific
  eye-tracking annotation
Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotation
Ricardo Bigolin Lanfredi
Joyce D. Schroeder
Tolga Tasdizen
33
2
0
20 Jul 2022
MedFuse: Multi-modal fusion with clinical time-series data and chest
  X-ray images
MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images
Nasir Hayat
Krzysztof J. Geras
Farah E. Shamout
MedIm
27
41
0
14 Jul 2022
Cross-modal Prototype Driven Network for Radiology Report Generation
Cross-modal Prototype Driven Network for Radiology Report Generation
Jun Wang
A. Bhalerao
Yulan He
MedIm
93
72
0
11 Jul 2022
Explaining Chest X-ray Pathologies in Natural Language
Explaining Chest X-ray Pathologies in Natural Language
Maxime Kayser
Cornelius Emde
Oana-Maria Camburu
Guy Parsons
B. Papież
Thomas Lukasiewicz
MedIm
24
27
0
09 Jul 2022
Fair Machine Learning in Healthcare: A Review
Fair Machine Learning in Healthcare: A Review
Qizhang Feng
Mengnan Du
Na Zou
Xia Hu
FaML
38
0
0
29 Jun 2022
Competence-based Multimodal Curriculum Learning for Medical Report
  Generation
Competence-based Multimodal Curriculum Learning for Medical Report Generation
Fenglin Liu
Shen Ge
Yuexian Zou
Xian Wu
MedIm
35
132
0
24 Jun 2022
A Review of Published Machine Learning Natural Language Processing
  Applications for Protocolling Radiology Imaging
A Review of Published Machine Learning Natural Language Processing Applications for Protocolling Radiology Imaging
Nihal Raju
Michael Woodburn
S. Kachel
Jack O’Shaughnessy
Laurence Sorace
Natalie Yang
Ruth P. Lim
LM&MA
18
1
0
23 Jun 2022
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