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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
Multimodal self-supervised learning for lesion localization
Multimodal self-supervised learning for lesion localization
Hao Yang
Hong-Yu Zhou
Cheng Li
Weijian Huang
Jiarun Liu
Yong Liang
Shanshan Wang
SSL
40
3
0
03 Jan 2024
Visual Explanations of Image-Text Representations via Multi-Modal
  Information Bottleneck Attribution
Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution
Ying Wang
Tim G. J. Rudner
Andrew Gordon Wilson
26
19
0
28 Dec 2023
ECAMP: Entity-centered Context-aware Medical Vision Language
  Pre-training
ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training
Rongsheng Wang
Qingsong Yao
Haoran Lai
Zhiyang He
Xiaodong Tao
Zihang Jiang
S.Kevin Zhou
VLM
MedIm
59
6
0
20 Dec 2023
UniDCP: Unifying Multiple Medical Vision-language Tasks via Dynamic
  Cross-modal Learnable Prompts
UniDCP: Unifying Multiple Medical Vision-language Tasks via Dynamic Cross-modal Learnable Prompts
Chenlu Zhan
Yufei Zhang
Yu Lin
Gaoang Wang
Hongwei Wang
VLM
MedIm
42
5
0
18 Dec 2023
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray
  Classification
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification
Tianjie Dai
Ruipeng Zhang
Feng Hong
Jiangchao Yao
Ya Zhang
Yanfeng Wang
38
8
0
18 Dec 2023
The Limits of Fair Medical Imaging AI In The Wild
The Limits of Fair Medical Imaging AI In The Wild
Yuzhe Yang
Haoran Zhang
Judy W. Gichoya
Dina Katabi
Marzyeh Ghassemi
30
6
0
11 Dec 2023
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis
Zihao Zhao
Sheng Wang
Qian Wang
Dinggang Shen
MedIm
39
5
0
11 Dec 2023
MedXChat: A Unified Multimodal Large Language Model Framework towards
  CXRs Understanding and Generation
MedXChat: A Unified Multimodal Large Language Model Framework towards CXRs Understanding and Generation
Ling Yang
Zhanyu Wang
Zhenghao Chen
Xinyu Liang
Luping Zhou
LM&MA
MedIm
61
6
0
04 Dec 2023
G2D: From Global to Dense Radiography Representation Learning via
  Vision-Language Pre-training
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training
Che Liu
Ouyang Cheng
Sibo Cheng
Anand Shah
Wenjia Bai
Rossella Arcucci
VLM
MedIm
37
8
0
03 Dec 2023
Radiology-Aware Model-Based Evaluation Metric for Report Generation
Radiology-Aware Model-Based Evaluation Metric for Report Generation
Amos Calamida
Farhad Nooralahzadeh
Morteza Rohanian
Koji Fujimoto
Mizuho Nishio
Michael Krauthammer
35
3
0
28 Nov 2023
Making Self-supervised Learning Robust to Spurious Correlation via
  Learning-speed Aware Sampling
Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling
Weicheng Zhu
Sheng Liu
C. Fernandez‐Granda
N. Razavian
52
1
0
27 Nov 2023
A Systematic Review of Deep Learning-based Research on Radiology Report
  Generation
A Systematic Review of Deep Learning-based Research on Radiology Report Generation
Chang Liu
Yuanhe Tian
Yan Song
MedIm
44
16
0
23 Nov 2023
MAIRA-1: A specialised large multimodal model for radiology report
  generation
MAIRA-1: A specialised large multimodal model for radiology report generation
Stephanie L. Hyland
Shruthi Bannur
Kenza Bouzid
Daniel Coelho De Castro
M. Ranjit
...
Noel C. F. Codella
M. Lungren
Maria T. A. Wetscherek
Ozan Oktay
Javier Alvarez-Valle
36
47
0
22 Nov 2023
Rethinking Radiology Report Generation via Causal Reasoning and
  Counterfactual Augmentation
Rethinking Radiology Report Generation via Causal Reasoning and Counterfactual Augmentation
Xiao Song
Jiafan Liu
Yun Li
Wenbin Lei
Ruxin Wang
CML
32
0
0
22 Nov 2023
Radiology Report Generation Using Transformers Conditioned with
  Non-imaging Data
Radiology Report Generation Using Transformers Conditioned with Non-imaging Data
Nurbanu Aksoy
Nishant Ravikumar
Alejandro F Frangi
ViT
MedIm
21
8
0
18 Nov 2023
INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and
  Prognosis
INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis
Shih-Cheng Huang
Zepeng Huo
E. Steinberg
Chia-Chun Chiang
M. Lungren
Curtis P. Langlotz
Serena Yeung
Nigam H. Shah
Jason Alan Fries
LM&MA
27
9
0
17 Nov 2023
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical
  Imaging Research
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research
Bardia Khosravi
Frank Li
Theo Dapamede
Pouria Rouzrokh
Cooper Gamble
...
C. Wyles
Andrew B. Sellergren
S. Purkayastha
Bradley J. Erickson
J. Gichoya
MedIm
36
17
0
15 Nov 2023
MoCo-Transfer: Investigating out-of-distribution contrastive learning
  for limited-data domains
MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains
Yuwen Chen
Helen Zhou
Zachary Chase Lipton
27
1
0
15 Nov 2023
LT-ViT: A Vision Transformer for multi-label Chest X-ray classification
LT-ViT: A Vision Transformer for multi-label Chest X-ray classification
Umar Marikkar
Sara Atito
Muhammad Awais
Adam Mahdi
MedIm
ViT
40
8
0
13 Nov 2023
MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital
  Readmission Prediction
MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction
Yan Miao
Lequan Yu
14
2
0
11 Nov 2023
Pyclipse, a library for deidentification of free-text clinical notes
Pyclipse, a library for deidentification of free-text clinical notes
Callandra Moore
Jonathan Ranisau
Walter Nelson
J. Petch
Alistair Johnson
9
0
0
05 Nov 2023
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness
  Learning Using Segment Anything Model with Fair Error-Bound Scaling
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
Yu Tian
Minfei Shi
Yan Luo
Ava Kouhana
T. Elze
Mengyu Wang
10
5
0
03 Nov 2023
Enhanced Knowledge Injection for Radiology Report Generation
Enhanced Knowledge Injection for Radiology Report Generation
Qingqiu Li
Jilan Xu
Runtian Yuan
Mohan Chen
Yuejie Zhang
Rui Feng
Xiaobo Zhang
Shang Gao
MedIm
50
7
0
01 Nov 2023
A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical
  Image Analysis
A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysis
Yingshu Li
Yunyi Liu
Zhanyu Wang
Xinyu Liang
Lei Wang
Lingqiao Liu
Leyang Cui
Zhaopeng Tu
Longyue Wang
Luping Zhou
ELM
LM&MA
40
38
0
31 Oct 2023
Towards long-tailed, multi-label disease classification from chest
  X-ray: Overview of the CXR-LT challenge
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
G. Holste
Yiliang Zhou
Song Wang
Ajay Jaiswal
Mingquan Lin
...
Zhiyong Lu
Ronald M. Summers
George Shih
Zhangyang Wang
Yifan Peng
31
13
0
24 Oct 2023
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark
  for Language Model Evaluation
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation
Zexue He
Yu Wang
An Yan
Yao Liu
Eric Y. Chang
Amilcare Gentili
Julian McAuley
Chun-Nan Hsu
ELM
89
14
0
21 Oct 2023
RECAP: Towards Precise Radiology Report Generation via Dynamic Disease
  Progression Reasoning
RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning
Wenjun Hou
Yi Cheng
Kaishuai Xu
Wenjie Li
Jiangming Liu
34
16
0
21 Oct 2023
IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training
IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training
Che Liu
Sibo Cheng
Miaojing Shi
Anand Shah
Wenjia Bai
Rossella Arcucci
24
26
0
11 Oct 2023
Utilizing Synthetic Data for Medical Vision-Language Pre-training:
  Bypassing the Need for Real Images
Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images
Che Liu
Anand Shah
Wenjia Bai
Rossella Arcucci
MedIm
40
12
0
10 Oct 2023
Controllable Chest X-Ray Report Generation from Longitudinal
  Representations
Controllable Chest X-Ray Report Generation from Longitudinal Representations
F. Serra
Chaoyang Wang
F. Deligianni
Jeffrey Stephen Dalton
Alison Q. OÑeil
MedIm
33
14
0
09 Oct 2023
Dynamic Multi-Domain Knowledge Networks for Chest X-ray Report
  Generation
Dynamic Multi-Domain Knowledge Networks for Chest X-ray Report Generation
Weihua Liu
Youyuan Xue
Chaochao Lin
Said Boumaraf
MedIm
26
0
0
08 Oct 2023
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair
  Identity Scaling
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling
Yan Luo
Muhammad Osama Khan
Yu Tian
Minfei Shi
Zehao Dou
T. Elze
Yi Fang
Mengyu Wang
17
7
0
03 Oct 2023
Missing-modality Enabled Multi-modal Fusion Architecture for Medical
  Data
Missing-modality Enabled Multi-modal Fusion Architecture for Medical Data
Muyu Wang
Shiyu Fan
Yichen Li
Hui Chen
MedIm
17
1
0
27 Sep 2023
MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks
MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks
Vinitra Swamy
Malika Satayeva
Jibril Frej
Thierry Bossy
Thijs Vogels
Martin Jaggi
Tanja Käser
Mary-Anne Hartley
23
12
0
25 Sep 2023
A Survey on Image-text Multimodal Models
A Survey on Image-text Multimodal Models
Ruifeng Guo
Jingxuan Wei
Linzhuang Sun
Khai Le-Duc
Guiyong Chang
Dawei Liu
Sibo Zhang
Zhengbing Yao
Mingjun Xu
Liping Bu
VLM
36
5
0
23 Sep 2023
R2GenGPT: Radiology Report Generation with Frozen LLMs
R2GenGPT: Radiology Report Generation with Frozen LLMs
Zhanyu Wang
Lingqiao Liu
Lei Wang
Luping Zhou
MedIm
LM&MA
VLM
30
66
0
18 Sep 2023
Enhancing Representation in Radiography-Reports Foundation Model: A
  Granular Alignment Algorithm Using Masked Contrastive Learning
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning
Weijian Huang
Cheng Li
Hao Yang
Jiarun Liu
Shanshan Wang
MedIm
34
21
0
12 Sep 2023
Anatomy-Driven Pathology Detection on Chest X-rays
Anatomy-Driven Pathology Detection on Chest X-rays
Philipp Muller
Felix Meissen
Johannes Brandt
Georgios Kaissis
Daniel Rueckert
27
8
0
05 Sep 2023
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic
  Tasks with Radiological Images
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images
Blake Vanberlo
Jesse Hoey
Alexander Wong
SSL
LM&MA
18
2
0
05 Sep 2023
Can Prompt Learning Benefit Radiology Report Generation?
Can Prompt Learning Benefit Radiology Report Generation?
Jun Wang
Lixing Zhu
A. Bhalerao
Yulan He
MedIm
44
2
0
30 Aug 2023
Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting
Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting
F. Serra
Chaoyang Wang
F. Deligianni
Jeffrey Stephen Dalton
Alison Q. OÑeil
MedIm
22
8
0
30 Aug 2023
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
Haibo Jin
Haoxuan Che
Yi-Mou Lin
Haoxing Chen
MedIm
40
60
0
24 Aug 2023
Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays
Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays
Feng Hong
Tianjie Dai
Jiangchao Yao
Ya Zhang
Yanfeng Wang
25
0
0
17 Aug 2023
Exploring Transfer Learning in Medical Image Segmentation using
  Vision-Language Models
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models
K. Poudel
Manish Dhakal
Prasiddha Bhandari
Rabin Adhikari
Safal Thapaliya
Bishesh Khanal
VLM
30
17
0
15 Aug 2023
Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets
  For Training AI
Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI
H. D. Zając
Natalia-Rozalia Avlona
T. O. Andersen
F. Kensing
Irina Shklovski
27
17
0
12 Aug 2023
When More is Less: Incorporating Additional Datasets Can Hurt
  Performance By Introducing Spurious Correlations
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations
Rhys Compton
Lily Zhang
R. Borsoi
Rajesh Ranganath
OOD
44
10
0
08 Aug 2023
Few-shot medical image classification with simple shape and texture text
  descriptors using vision-language models
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models
Michal Byra
M. F. Rachmadi
Henrik Skibbe
VLM
38
6
0
08 Aug 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
ViT
MedIm
23
11
0
08 Aug 2023
ELIXR: Towards a general purpose X-ray artificial intelligence system
  through alignment of large language models and radiology vision encoders
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders
Shawn Xu
Ling Yang
Christopher J. Kelly
M. Sieniek
Timo Kohlberger
...
Shruthi Prabhakara
Daniel Golden
Rory Pilgrim
Krish Eswaran
Andrew Sellergren
LM&MA
MedIm
39
51
0
02 Aug 2023
Fact-Checking of AI-Generated Reports
Fact-Checking of AI-Generated Reports
Razi Mahmood
Ge Wang
Mannudeep Kalra
Pingkun Yan
MedIm
32
7
0
27 Jul 2023
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