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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 / 760 papers shown
Title
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs
  For Medical Image Classification
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification
Dwarikanath Mahapatra
OOD
35
14
0
27 Jun 2022
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest
  X-rays
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays
K. Yu
Shantanu Ghosh
Zhexiong Liu
C. Deible
Kayhan Batmanghelich
28
22
0
25 Jun 2022
FedER: Federated Learning through Experience Replay and
  Privacy-Preserving Data Synthesis
FedER: Federated Learning through Experience Replay and Privacy-Preserving Data Synthesis
M. Pennisi
Federica Proietto Salanitri
Giovanni Bellitto
Bruno Casella
Marco Aldinucci
S. Palazzo
C. Spampinato
OOD
27
9
0
20 Jun 2022
PRANC: Pseudo RAndom Networks for Compacting deep models
PRANC: Pseudo RAndom Networks for Compacting deep models
Parsa Nooralinejad
Ali Abbasi
Soroush Abbasi Koohpayegani
Kossar Pourahmadi Meibodi
Rana Muhammad Shahroz Khan
Soheil Kolouri
Hamed Pirsiavash
DD
42
0
0
16 Jun 2022
SwinCheX: Multi-label classification on chest X-ray images with
  transformers
SwinCheX: Multi-label classification on chest X-ray images with transformers
Sina Taslimi
Soroush Taslimi
Nima Fathi
Mohammad Salehi
M. Rohban
ViT
MedIm
26
24
0
09 Jun 2022
Transforming medical imaging with Transformers? A comparative review of
  key properties, current progresses, and future perspectives
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Jun Li
Junyu Chen
Yucheng Tang
Ce Wang
Bennett A. Landman
S. K. Zhou
ViT
OOD
MedIm
25
24
0
02 Jun 2022
Concept-level Debugging of Part-Prototype Networks
Concept-level Debugging of Part-Prototype Networks
A. Bontempelli
Stefano Teso
Katya Tentori
Fausto Giunchiglia
Andrea Passerini
24
52
0
31 May 2022
Cardiomegaly Detection using Deep Convolutional Neural Network with
  U-Net
Cardiomegaly Detection using Deep Convolutional Neural Network with U-Net
Soham S. Sarpotdar
25
6
0
23 May 2022
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot
  Learning
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning
Jaehoon Oh
Sungnyun Kim
Namgyu Ho
Jin-Hwa Kim
Hwanjun Song
Se-Young Yun
30
7
0
11 May 2022
Explainable Deep Learning Methods in Medical Image Classification: A
  Survey
Explainable Deep Learning Methods in Medical Image Classification: A Survey
Cristiano Patrício
João C. Neves
Luís F. Teixeira
XAI
26
53
0
10 May 2022
Robust Medical Image Classification from Noisy Labeled Data with Global
  and Local Representation Guided Co-training
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training
Cheng Xue
Lequan Yu
Pengfei Chen
Qi Dou
Pheng-Ann Heng
NoLa
22
52
0
10 May 2022
Model-Contrastive Learning for Backdoor Defense
Model-Contrastive Learning for Backdoor Defense
Zhihao Yue
Jun Xia
Zhiwei Ling
Ming Hu
Ting Wang
Xian Wei
Mingsong Chen
AAML
21
3
0
09 May 2022
Revisiting Vicinal Risk Minimization for Partially Supervised
  Multi-Label Classification Under Data Scarcity
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity
Nanqing Dong
Jiayi Wang
Irina Voiculescu
24
6
0
19 Apr 2022
Interpretable Saliency Maps And Self-Supervised Learning For Generalized
  Zero Shot Medical Image Classification
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification
Dwarikanath Mahapatra
MedIm
25
2
0
04 Apr 2022
Provable concept learning for interpretable predictions using
  variational autoencoders
Provable concept learning for interpretable predictions using variational autoencoders
Armeen Taeb
Nicolò Ruggeri
Carina Schnuck
Fanny Yang
82
5
0
01 Apr 2022
Treatment Learning Causal Transformer for Noisy Image Classification
Treatment Learning Causal Transformer for Noisy Image Classification
Chao-Han Huck Yang
I-Te Danny Hung
Yi-Chieh Liu
Pin-Yu Chen
ViT
21
7
0
29 Mar 2022
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis
  and Prognosis: A Review
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review
C. Cui
Haichun Yang
Yaohong Wang
Shilin Zhao
Zuhayr Asad
Lori A. Coburn
K. Wilson
Bennett A. Landman
Yuankai Huo
28
94
0
25 Mar 2022
Generative Modeling Helps Weak Supervision (and Vice Versa)
Generative Modeling Helps Weak Supervision (and Vice Versa)
Benedikt Boecking
Nicholas Roberts
Willie Neiswanger
Stefano Ermon
Frederic Sala
Artur Dubrawski
31
1
0
22 Mar 2022
PediCXR: An open, large-scale chest radiograph dataset for
  interpretation of common thoracic diseases in children
PediCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children
Hieu H. Pham
N. H. Nguyen
Thanh-Truong Tran
T. N. Nguyen
H. Nguyen
LM&MA
27
29
0
20 Mar 2022
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain
  Few-Shot Learning
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning
Yuqian Fu
Yu Xie
Yanwei Fu
Jingjing Chen
Yu-Gang Jiang
29
18
0
15 Mar 2022
Self Pre-training with Masked Autoencoders for Medical Image
  Classification and Segmentation
Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation
Lei Zhou
Huidong Liu
Joseph Bae
Junjun He
Dimitris Samaras
Prateek Prasanna
MedIm
ViT
21
64
0
10 Mar 2022
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray
  Classification
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification
Yuanhong Chen
Fengbei Liu
Hu Wang
Chong Wang
Yu Tian
Yuyuan Liu
G. Carneiro
NoLa
39
8
0
03 Mar 2022
RadioTransformer: A Cascaded Global-Focal Transformer for Visual
  Attention-guided Disease Classification
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-guided Disease Classification
Moinak Bhattacharya
Shubham Jain
Prateek Prasanna
ViT
MedIm
22
33
0
23 Feb 2022
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease
  Classification on Chest X-ray Images
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images
Hongzhi Zhu
R. Rohling
Septimiu Salcudean
19
4
0
15 Feb 2022
Gaze-Guided Class Activation Mapping: Leveraging Human Attention for
  Network Attention in Chest X-rays Classification
Gaze-Guided Class Activation Mapping: Leveraging Human Attention for Network Attention in Chest X-rays Classification
Hongzhi Zhu
Septimiu Salcudean
R. Rohling
MedIm
28
4
0
15 Feb 2022
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and
  their usability for Detecting Omicron
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Asifullah Khan
Dr. Saddam Hussain Khan
Mahrukh Saif
Asiya Batool
A. Sohail
Muhammad Waleed Khan
43
48
0
13 Feb 2022
Multi-Label Classification of Thoracic Diseases using Dense
  Convolutional Network on Chest Radiographs
Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest Radiographs
Dipkamal Bhusal
S. Panday
35
5
0
08 Feb 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity
  and Few-Shot Difficulty
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
Jaehoon Oh
Sungnyun Kim
Namgyu Ho
Jin-Hwa Kim
Hwanjun Song
Se-Young Yun
30
34
0
01 Feb 2022
Improving deep neural network generalization and robustness to
  background bias via layer-wise relevance propagation optimization
Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimization
P. R. Bassi
Sergio S J Dertkigil
Andrea Cavalli
AI4CE
49
27
0
01 Feb 2022
Syfer: Neural Obfuscation for Private Data Release
Syfer: Neural Obfuscation for Private Data Release
Adam Yala
Victor Quach
H. Esfahanizadeh
Rafael G. L. DÓliveira
K. Duffy
Muriel Médard
Tommi Jaakkola
Regina Barzilay
PICV
21
7
0
28 Jan 2022
A Deep Learning Approach for the Detection of COVID-19 from Chest X-Ray
  Images using Convolutional Neural Networks
A Deep Learning Approach for the Detection of COVID-19 from Chest X-Ray Images using Convolutional Neural Networks
Aditya Saxena
Shamsheer Pal Singh
31
14
0
24 Jan 2022
Debiasing pipeline improves deep learning model generalization for X-ray
  based lung nodule detection
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection
M. J. Horry
Subrata Chakraborty
B. Pradhan
M. Paul
Jing Zhu
H. Loh
P. Barua
Usha R. Acharya
AI4CE
43
7
0
24 Jan 2022
Federated Learning with Heterogeneous Architectures using Graph
  HyperNetworks
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks
Or Litany
Haggai Maron
David Acuna
Jan Kautz
Gal Chechik
Sanja Fidler
FedML
43
24
0
20 Jan 2022
Demystifying Swarm Learning: A New Paradigm of Blockchain-based
  Decentralized Federated Learning
Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning
Jialiang Han
Y. Ma
Yudong Han
53
15
0
14 Jan 2022
Self-supervised Learning from 100 Million Medical Images
Self-supervised Learning from 100 Million Medical Images
Florin-Cristian Ghesu
Bogdan Georgescu
Awais Mansoor
Y. Yoo
Dominik Neumann
...
R. Vishwanath
J. Balter
Yue Cao
Sasa Grbic
Dorin Comaniciu
SSL
38
51
0
04 Jan 2022
Multi-Domain Balanced Sampling Improves Out-of-Distribution
  Generalization of Chest X-ray Pathology Prediction Models
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models
E. Tetteh
J. Viviano
Yoshua Bengio
David M. Krueger
Joseph Paul Cohen
OOD
26
3
0
27 Dec 2021
Improved skin lesion recognition by a Self-Supervised Curricular Deep
  Learning approach
Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach
Kirill Sirotkin
Marcos Escudero-Viñolo
Pablo Carballeira
Juan C. Sanmiguel
SSL
32
6
0
22 Dec 2021
Max-Margin Contrastive Learning
Max-Margin Contrastive Learning
Anshul B. Shah
S. Sra
Ramalingam Chellappa
A. Cherian
SSL
37
44
0
21 Dec 2021
UniMiSS: Universal Medical Self-Supervised Learning via Breaking
  Dimensionality Barrier
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier
Yutong Xie
Jianpeng Zhang
Yong-quan Xia
Qi Wu
MedIm
71
63
0
17 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains
Hierarchical Variational Memory for Few-shot Learning Across Domains
Yingjun Du
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
VLM
BDL
43
21
0
15 Dec 2021
Automated Side Channel Analysis of Media Software with Manifold Learning
Automated Side Channel Analysis of Media Software with Manifold Learning
Yuanyuan Yuan
Qi Pang
Shuai Wang
AAML
40
18
0
09 Dec 2021
Semantic Map Injected GAN Training for Image-to-Image Translation
Semantic Map Injected GAN Training for Image-to-Image Translation
Balaram Singh Kshatriya
S. Dubey
H. Sarma
Kunal Chaudhary
Meva Ram Gurjar
Rahul Rai
Sunny Manchanda
GAN
28
2
0
03 Dec 2021
Leveraging Human Selective Attention for Medical Image Analysis with
  Limited Training Data
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data
Yifei Huang
Xiaoxiao Li
Lijin Yang
Lin Gu
Yingying Zhu
Hirofumi Seo
Qiuming Meng
Tatsuya Harada
Yoichi Sato
MedIm
29
9
0
02 Dec 2021
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
32
39
0
26 Nov 2021
Distribution Estimation to Automate Transformation Policies for
  Self-Supervision
Distribution Estimation to Automate Transformation Policies for Self-Supervision
Seunghan Yang
Debasmit Das
Simyung Chang
Sungrack Yun
Fatih Porikli
19
6
0
24 Nov 2021
Florence: A New Foundation Model for Computer Vision
Florence: A New Foundation Model for Computer Vision
Lu Yuan
Dongdong Chen
Yi-Ling Chen
Noel Codella
Xiyang Dai
...
Zhen Xiao
Jianwei Yang
Michael Zeng
Luowei Zhou
Pengchuan Zhang
VLM
72
882
0
22 Nov 2021
COVID-19 Detection on Chest X-Ray Images: A comparison of CNN
  architectures and ensembles
COVID-19 Detection on Chest X-Ray Images: A comparison of CNN architectures and ensembles
Fabricio A. Breve
9
29
0
18 Nov 2021
Advancement of Deep Learning in Pneumonia and Covid-19 Classification
  and Localization: A Qualitative and Quantitative Analysis
Advancement of Deep Learning in Pneumonia and Covid-19 Classification and Localization: A Qualitative and Quantitative Analysis
Aakash Shah
Manan A. Shah
18
0
0
16 Nov 2021
Explanatory Analysis and Rectification of the Pitfalls in COVID-19
  Datasets
Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets
Samyak Prajapati
Japman Singh Monga
Shaanya Singh
Amrit Raj
Yuvraj Singh Champawat
C. Prakash
27
0
0
10 Nov 2021
Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups
A. Wainakh
Ephraim Zimmer
Sandeep Subedi
Jens Keim
Tim Grube
Shankar Karuppayah
Alejandro Sánchez Guinea
Max Mühlhäuser
27
9
0
05 Nov 2021
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