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ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on
  Weakly-Supervised Classification and Localization of Common Thorax Diseases

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

5 May 2017
Xiaosong Wang
Yifan Peng
Le Lu
Zhiyong Lu
M. Bagheri
Ronald M. Summers
    LM&MA
ArXivPDFHTML

Papers citing "ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases"

50 / 759 papers shown
Title
A Survey on Vulnerability of Federated Learning: A Learning Algorithm
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A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective
Xianghua Xie
Chen Hu
Hanchi Ren
Jingjing Deng
FedML
AAML
50
19
0
27 Nov 2023
How much data do I need? A case study on medical data
How much data do I need? A case study on medical data
Ayse Betul Cengiz
A. Mcgough
19
2
0
26 Nov 2023
Leveraging Anatomical Constraints with Uncertainty for Pneumothorax
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Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation
Han Yuan
Chuan Hong
Nguyen Tuan Anh Tran
Xinxing Xu
Nan Liu
36
7
0
26 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
37
15
0
23 Nov 2023
Task-Distributionally Robust Data-Free Meta-Learning
Task-Distributionally Robust Data-Free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Yongxian Wei
Baoyuan Wu
Chun Yuan
Dacheng Tao
OOD
26
0
0
23 Nov 2023
Feature Extraction for Generative Medical Imaging Evaluation: New
  Evidence Against an Evolving Trend
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend
M. Woodland
Austin Castelo
Mais Al Taie
Jessica Albuquerque Marques Silva
Mohamed Eltaher
...
Austin Castelo
Suprateek Kundu
Joshua P. Yung
Ankit B. Patel
Kristy K. Brock
MedIm
AAML
43
10
0
22 Nov 2023
Learning to Complement with Multiple Humans
Learning to Complement with Multiple Humans
Zheng Zhang
Cuong C. Nguyen
Kevin Wells
Thanh-Toan Do
Gustavo Carneiro
29
0
0
22 Nov 2023
Cascade Learning Localises Discriminant Features in Visual Scene
  Classification
Cascade Learning Localises Discriminant Features in Visual Scene Classification
Junwen Wang
K. Farrahi
21
0
0
21 Nov 2023
Enhancing Visual Grounding and Generalization: A Multi-Task Cycle
  Training Approach for Vision-Language Models
Enhancing Visual Grounding and Generalization: A Multi-Task Cycle Training Approach for Vision-Language Models
Xiaoyu Yang
Lijian Xu
Hao Sun
Hongsheng Li
Shaoting Zhang
ObjD
33
6
0
21 Nov 2023
Overcoming Data Scarcity in Biomedical Imaging with a Foundational
  Multi-Task Model
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model
Raphael Schäfer
Till Nicke
Henning Höfener
Annkristin Lange
Dorit Merhof
Friedrich Feuerhake
Volkmar Schulz
Johannes Lotz
Fabian Kiessling
VLM
22
17
0
16 Nov 2023
MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image
  Diagnosis
MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis
Yitao Zhu
Zhenrong Shen
Zihao Zhao
Sheng Wang
Xin Wang
Xiangyu Zhao
Dinggang Shen
Qian Wang
MedIm
40
28
0
14 Nov 2023
SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models
  for Multi-Label Chest X-Ray Classification
SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification
S. M. N. Ashraf
Md. Adyelullahil Mamun
Hasnat Md. Abdullah
Rabiul Alam
ViT
MedIm
15
7
0
13 Nov 2023
Robust semi-supervised segmentation with timestep ensembling diffusion
  models
Robust semi-supervised segmentation with timestep ensembling diffusion models
Margherita Rosnati
Mélanie Roschewitz
Ben Glocker
MedIm
DiffM
53
4
0
13 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
Evaluation of GPT-4 for chest X-ray impression generation: A reader
  study on performance and perception
Evaluation of GPT-4 for chest X-ray impression generation: A reader study on performance and perception
Sebastian Ziegelmayer
Alexander W. Marka
Nicolas Lenhart
Nadja Nehls
S. Reischl
Felix Harder
Andreas Sauter
Marcus R. Makowski
Markus Graf
J. Gawlitza
MedIm
LM&MA
25
12
0
12 Nov 2023
An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in
  Healthcare Datasets
An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in Healthcare Datasets
F. Gulamali
Ashwin S. Sawant
L. Liharska
C. R. Horowitz
L. Chan
...
E. Mensah
Alexander W. Charney
D. Reich
J. Hu
Girish N. Nadkarni
18
1
0
06 Nov 2023
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot
  Classification
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification
Hao Zheng
Runqi Wang
Jianzhuang Liu
Asako Kanezaki
44
7
0
04 Nov 2023
Learning A Multi-Task Transformer Via Unified And Customized Instruction
  Tuning For Chest Radiograph Interpretation
Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation
Lijian Xu
Ziyu Ni
Xinglong Liu
Xiaosong Wang
Hongsheng Li
Shaoting Zhang
MedIm
LM&MA
32
4
0
02 Nov 2023
Medical Image Denosing via Explainable AI Feature Preserving Loss
Medical Image Denosing via Explainable AI Feature Preserving Loss
Guanfang Dong
Anup Basu
MedIm
25
2
0
31 Oct 2023
CrossEAI: Using Explainable AI to generate better bounding boxes for
  Chest X-ray images
CrossEAI: Using Explainable AI to generate better bounding boxes for Chest X-ray images
Jinze Zhao
MedIm
17
1
0
29 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
On Responsible Machine Learning Datasets with Fairness, Privacy, and
  Regulatory Norms
On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms
S. Mittal
K. Thakral
Richa Singh
Mayank Vatsa
Tamar Glaser
Cristian Canton Ferrer
Tal Hassner
FaML
37
3
0
24 Oct 2023
Robust Learning via Conditional Prevalence Adjustment
Robust Learning via Conditional Prevalence Adjustment
Minh Nguyen
Alan Q. Wang
Heejong Kim
M. Sabuncu
CML
OOD
24
2
0
24 Oct 2023
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained
  Models in Few-Shot Learning
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning
Kun Song
Huimin Ma
Bochao Zou
Huishuai Zhang
Weiran Huang
18
10
0
23 Oct 2023
Data-Free Distillation Improves Efficiency and Privacy in Federated
  Thorax Disease Analysis
Data-Free Distillation Improves Efficiency and Privacy in Federated Thorax Disease Analysis
Ming Li
Guang Yang
6
3
0
22 Oct 2023
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training
Kihyun You
Jawook Gu
Jiyeon Ham
Beomhee Park
Jiho Kim
Eun K. Hong
Woonhyuk Baek
Byungseok Roh
CLIP
VLM
26
59
0
20 Oct 2023
PAC Prediction Sets Under Label Shift
PAC Prediction Sets Under Label Shift
Wenwen Si
Sangdon Park
Insup Lee
Yan Sun
Osbert Bastani
41
9
0
19 Oct 2023
Reusing Pretrained Models by Multi-linear Operators for Efficient
  Training
Reusing Pretrained Models by Multi-linear Operators for Efficient Training
Yu Pan
Ye Yuan
Yichun Yin
Zenglin Xu
Lifeng Shang
Xin Jiang
Qun Liu
44
16
0
16 Oct 2023
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust
  Performance
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance
Dongao Ma
Jiaxuan Pang
Michael B. Gotway
Jianming Liang
MedIm
OOD
30
8
0
14 Oct 2023
Plug-and-Play Feature Generation for Few-Shot Medical Image
  Classification
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification
Qianyu Guo
Huifang Du
Xing Jia
Shuyong Gao
Yan Teng
Haofen Wang
Wenqiang Zhang
MedIm
VLM
27
0
0
14 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
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
45
12
0
10 Oct 2023
HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease
  Classification from Chest X-ray Images
HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease Classification from Chest X-ray Images
Şaban Öztürk
M. Y. Turali
Tolga Çukur
MedIm
ViT
46
10
0
09 Oct 2023
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep
  Models for X-ray Images of Multiple Body Parts
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts
Weibin Liao
Haoyi Xiong
Qingzhong Wang
Yan Mo
Xuhong Li
Yi Liu
Zeyu Chen
Siyu Huang
Dejing Dou
CLL
22
22
0
03 Oct 2023
MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from
  Chest X-ray Images
MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from Chest X-ray Images
Huyen Tran
D. Nguyen
John Yearwood
MedIm
ViT
40
0
0
30 Sep 2023
(Predictable) Performance Bias in Unsupervised Anomaly Detection
(Predictable) Performance Bias in Unsupervised Anomaly Detection
Felix Meissen
Svenja Breuer
Moritz Knolle
Alena Buyx
R. Muller
Georgios Kaissis
Benedikt Wiestler
Daniel Rückert
OOD
40
4
0
25 Sep 2023
A Survey on Image-text Multimodal Models
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Ruifeng Guo
Jingxuan Wei
Linzhuang Sun
Khai Le-Duc
Guiyong Chang
Dawei Liu
Sibo Zhang
Zhengbing Yao
Mingjun Xu
Liping Bu
VLM
33
5
0
23 Sep 2023
A Systematic Review of Few-Shot Learning in Medical Imaging
A Systematic Review of Few-Shot Learning in Medical Imaging
Eva Pachetti
Sara Colantonio
39
18
0
20 Sep 2023
Uncovering the effects of model initialization on deep model
  generalization: A study with adult and pediatric Chest X-ray images
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images
S. Rajaraman
Ghada Zamzmi
Feng Yang
Zhaohui Liang
Z. Xue
Sameer Kiran Antani
11
4
0
20 Sep 2023
Semantically Redundant Training Data Removal and Deep Model
  Classification Performance: A Study with Chest X-rays
Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays
S. Rajaraman
Ghada Zamzmi
Feng Yang
Zhaohui Liang
Z. Xue
Sameer Kiran Antani
8
3
0
18 Sep 2023
Comparative study of Deep Learning Models for Binary Classification on
  Combined Pulmonary Chest X-ray Dataset
Comparative study of Deep Learning Models for Binary Classification on Combined Pulmonary Chest X-ray Dataset
Shabbir Ahmed Shuvo
Md Aminul Islam
Md. Mozammel Hoque
R. Sulaiman
19
0
0
16 Sep 2023
Learning by Self-Explaining
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Wolfgang Stammer
Felix Friedrich
David Steinmann
Manuel Brack
Hikaru Shindo
Kristian Kersting
32
7
0
15 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
31
21
0
12 Sep 2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Aroof Aimen
Arsh Verma
Makarand Tapaswi
N. C. Krishnan
35
0
0
08 Sep 2023
Zero-Shot Robustification of Zero-Shot Models
Zero-Shot Robustification of Zero-Shot Models
Dyah Adila
Changho Shin
Lin Cai
Frederic Sala
43
19
0
08 Sep 2023
How Can We Tame the Long-Tail of Chest X-ray Datasets?
How Can We Tame the Long-Tail of Chest X-ray Datasets?
Arsh Verma
OOD
34
2
0
08 Sep 2023
CDFSL-V: Cross-Domain Few-Shot Learning for Videos
CDFSL-V: Cross-Domain Few-Shot Learning for Videos
Sarinda Samarasinghe
Mamshad Nayeem Rizve
Navid Kardan
M. Shah
25
11
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07 Sep 2023
Expert Uncertainty and Severity Aware Chest X-Ray Classification by
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Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning
Mengliang Zhang
Xinyue Hu
Lin Gu
Liangchen Liu
Kazuma Kobayashi
Tatsuya Harada
Ronald M. Summers
Yingying Zhu
31
3
0
06 Sep 2023
Improving Image Classification of Knee Radiographs: An Automated Image
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Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach
Jikai Zhang
Carlos Santos
Christine Park
Maciej Mazurowski
R. Colglazier
29
2
0
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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
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