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Delving into Masked Autoencoders for Multi-Label Thorax Disease
  Classification

Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification

23 October 2022
Junfei Xiao
Yutong Bai
Alan Yuille
Zongwei Zhou
    MedIm
    ViT
ArXivPDFHTML

Papers citing "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"

46 / 46 papers shown
Title
OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging
OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging
Sifan Song
Siyeop Yoon
Pengfei Jin
Sekeun Kim
Matthew Tivnan
...
Zhiliang Lyu
Dufan Wu
Ning Guo
Xiang Li
Quanzheng Li
OOD
ViT
57
0
0
08 May 2025
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
Yang Yue
Yulin Wang
Chenxin Tao
Pan Liu
Shiji Song
Gao Huang
MedIm
24
0
0
18 Apr 2025
WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining
Haoran Wang
Lian Huai
Wenbin Li
Lei Qi
Xingqun Jiang
Yinghuan Shi
MedIm
59
2
0
06 Mar 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
Wenxuan Li
Alan L. Yuille
Zongwei Zhou
MedIm
41
8
0
20 Jan 2025
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
Chong Wang
Fengbei Liu
Yuanhong Chen
Helen Frazer
Gustavo Carneiro
27
2
0
07 Nov 2024
Diff-CXR: Report-to-CXR generation through a disease-knowledge enhanced
  diffusion model
Diff-CXR: Report-to-CXR generation through a disease-knowledge enhanced diffusion model
Peng Huang
Bowen Guo
Shuyu Liang
Junhu Fu
Yuanyuan Wang
Yi Guo
DiffM
MedIm
16
1
0
26 Oct 2024
A foundation model for generalizable disease diagnosis in chest X-ray
  images
A foundation model for generalizable disease diagnosis in chest X-ray images
Lijian Xu
Ziyu Ni
Hao Sun
Hongsheng Li
Shaoting Zhang
LM&MA
MedIm
16
1
0
11 Oct 2024
How Effective is Pre-training of Large Masked Autoencoders for
  Downstream Earth Observation Tasks?
How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks?
Jose Sosa
Mohamed Aloulou
Danila Rukhovich
Rim Sleimi
Boonyarit Changaival
Anis Kacem
Djamila Aouada
25
0
0
27 Sep 2024
Self-Supervised Learning for Building Robust Pediatric Chest X-ray
  Classification Models
Self-Supervised Learning for Building Robust Pediatric Chest X-ray Classification Models
Sheng Cheng
Zbigniew A. Starosolski
Devika Subramanian
SSL
24
0
0
30 Aug 2024
Automatic Differential Diagnosis using Transformer-Based Multi-Label
  Sequence Classification
Automatic Differential Diagnosis using Transformer-Based Multi-Label Sequence Classification
Abu Adnan Sadi
Mohammad Ashrafuzzaman Khan
Lubaba Binte Saber
24
0
0
28 Aug 2024
Masked Image Modeling: A Survey
Masked Image Modeling: A Survey
Vlad Hondru
Florinel-Alin Croitoru
Shervin Minaee
Radu Tudor Ionescu
N. Sebe
59
6
0
13 Aug 2024
Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in
  Medical Domain
Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain
Hyeon Bae Kim
Yong Hyun Ahn
Seong Tae Kim
37
1
0
16 Jul 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
Ruinan Jin
Zikang Xu
Yuan Zhong
Qiongsong Yao
Qi Dou
S. Kevin Zhou
Xiaoxiao Li
VLM
19
9
0
01 Jul 2024
EVA-X: A Foundation Model for General Chest X-ray Analysis with
  Self-supervised Learning
EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning
Jingfeng Yao
Xinggang Wang
Yuehao Song
Huangxuan Zhao
Jun Ma
Yajie Chen
Wenyu Liu
Bo Wang
ViT
23
5
0
08 May 2024
Pre-training on High Definition X-ray Images: An Experimental Study
Pre-training on High Definition X-ray Images: An Experimental Study
Xiao Wang
Yuehang Li
Wentao Wu
Jiandong Jin
Yao Rong
Bowei Jiang
Chuanfu Li
Jin Tang
MedIm
ViT
LM&MA
31
3
0
27 Apr 2024
Representing Part-Whole Hierarchies in Foundation Models by Learning
  Localizability, Composability, and Decomposability from Anatomy via
  Self-Supervision
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision
M. Taher
Michael B. Gotway
Jianming Liang
MedIm
21
4
0
24 Apr 2024
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
Jiaxin Zhuang
Linshan Wu
Qiong Wang
V. Vardhanabhuti
Lin Luo
Hao Chen
Hao Chen
46
4
0
24 Apr 2024
A Large-scale Medical Visual Task Adaptation Benchmark
A Large-scale Medical Visual Task Adaptation Benchmark
Shentong Mo
Xufang Luo
Yansen Wang
Dongsheng Li
MedIm
24
1
0
19 Apr 2024
Exploiting Structural Consistency of Chest Anatomy for Unsupervised
  Anomaly Detection in Radiography Images
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images
Tiange Xiang
Yixiao Zhang
Yongyi Lu
Alan L. Yuille
Chaoyi Zhang
Weidong Cai
Zongwei Zhou
23
3
0
13 Mar 2024
Debiased Noise Editing on Foundation Models for Fair Medical Image
  Classification
Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
Ruinan Jin
Wenlong Deng
Minghui Chen
Xiaoxiao Li
MedIm
27
1
0
10 Mar 2024
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training
  with Masked Autoencoder
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder
Lei Li
Tianfang Zhang
Xinglin Zhang
Jiaqi Liu
Bingqi Ma
Yan-chun Luo
Tao Chen
MedIm
18
0
0
07 Mar 2024
Learning Low-Rank Feature for Thorax Disease Classification
Learning Low-Rank Feature for Thorax Disease Classification
Rajeev Goel
Utkarsh Nath
Yancheng Wang
Alvin C. Silva
Teresa Wu
Yingzhen Yang
8
0
0
14 Feb 2024
Deep Learning for Multi-Label Learning: A Comprehensive Survey
Deep Learning for Multi-Label Learning: A Comprehensive Survey
A. Tarekegn
M. Ullah
F. A. Cheikh
AI4TS
35
8
0
29 Jan 2024
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models
  across Computer Vision Tasks
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
Micah Goldblum
Hossein Souri
Renkun Ni
Manli Shu
Viraj Prabhu
...
Adrien Bardes
Judy Hoffman
Ramalingam Chellappa
Andrew Gordon Wilson
Tom Goldstein
VLM
68
62
0
30 Oct 2023
Towards Foundation Models Learned from Anatomy in Medical Imaging via
  Self-Supervision
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervision
M. Taher
Michael B. Gotway
Jianming Liang
MedIm
11
10
0
27 Sep 2023
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning
Wongi Park
Inhyuk Park
Sungeun Kim
Jongbin Ryu
OOD
12
6
0
10 Aug 2023
AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution
  Anomaly Detection in Chest X-Rays
AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays
Behzad Bozorgtabar
Dwarikanath Mahapatra
Jean-Philippe Thiran
MedIm
15
10
0
24 Jul 2023
Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image
  Recognition
Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition
Qingbo Kang
Jun Gao
Kang Li
Qicheng Lao
12
6
0
14 Jun 2023
Higher Chest X-ray Resolution Improves Classification Performance
Higher Chest X-ray Resolution Improves Classification Performance
Alessandro Wollek
Sardi Hyska
B. Sabel
Michael Ingrisch
Tobias Lasser
13
0
0
09 Jun 2023
WindowNet: Learnable Windows for Chest X-ray Classification
WindowNet: Learnable Windows for Chest X-ray Classification
Alessandro Wollek
Sardi Hyska
B. Sabel
Michael Ingrisch
Tobias Lasser
11
2
0
09 Jun 2023
Medical supervised masked autoencoders: Crafting a better masking
  strategy and efficient fine-tuning schedule for medical image classification
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification
Jia-ju Mao
Shu-Hua Guo
Yuan Chang
Xuesong Yin
Binling Nie
26
2
0
10 May 2023
EDMAE: An Efficient Decoupled Masked Autoencoder for Standard View
  Identification in Pediatric Echocardiography
EDMAE: An Efficient Decoupled Masked Autoencoder for Standard View Identification in Pediatric Echocardiography
Yiman Liu
Xiaoxiang Han
Tongtong Liang
Bin Dong
Jiajun Yuan
Menghan Hu
Qiaohong Liu
Jiangang Chen
Qingli Li
Yuqi Zhang
11
5
0
27 Feb 2023
Masked autoencoders are effective solution to transformer data-hungry
Masked autoencoders are effective solution to transformer data-hungry
Jia-ju Mao
Honggu Zhou
Xuesong Yin
Binling Nie
MedIm
17
5
0
12 Dec 2022
ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical
  Prior Probability Maps for Thoracic Disease Classification
ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification
Md. Iqbal Hossain
Mohammad Zunaed
Md. Kawsar Ahmed
S. M. J. Hossain
Anwarul Hasan
Taufiq Hasan
ViT
18
4
0
06 Oct 2022
Multi-Modal Masked Autoencoders for Medical Vision-and-Language
  Pre-Training
Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training
Zhihong Chen
Yu Du
Jinpeng Hu
Yang Liu
Guanbin Li
Xiang Wan
Tsung-Hui Chang
79
107
0
15 Sep 2022
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
F. Khan
H. Fu
ViT
LM&MA
MedIm
106
653
0
24 Jan 2022
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
Tiange Xiang
Yixiao Zhang
Yongyi Lu
Alan Yuille
Chaoyi Zhang
Weidong (Tom) Cai
Zongwei Zhou
UQCV
10
38
0
26 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Are Transformers More Robust Than CNNs?
Are Transformers More Robust Than CNNs?
Yutong Bai
Jieru Mei
Alan Yuille
Cihang Xie
ViT
AAML
175
256
0
10 Nov 2021
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Mintong Kang
Bowen Li
Zengle Zhu
Yongyi Lu
Elliot K. Fishman
Alan Yuille
Zongwei Zhou
15
18
0
25 Sep 2021
The Emergence of the Shape Bias Results from Communicative Efficiency
The Emergence of the Shape Bias Results from Communicative Efficiency
Eva Portelance
Michael C. Frank
Dan Jurafsky
Alessandro Sordoni
Romain Laroche
77
19
0
13 Sep 2021
Intriguing Properties of Vision Transformers
Intriguing Properties of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
ViT
248
618
0
21 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Yundong Zhang
Huiye Liu
Qiang Hu
ViT
MedIm
198
869
0
16 Feb 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
F. Khan
M. Shah
ViT
225
2,404
0
04 Jan 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
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