Deep Learning for Chest X-ray Analysis: A Survey

15 March 2021

Bram van Ginneken

Papers citing "Deep Learning for Chest X-ray Analysis: A Survey"

50 / 123 papers shown

Title
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer Xinran Li Yu Liu Xiujuan Xu Xiaowei Zhao ViT MedIm 83 1 0 16 May 2025
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 280 30,103 0 01 Mar 2022
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis Xi Ouyang Srikrishna Karanam Ziyan Wu Terrence Chen Jiayu Huo X. Zhou Qian Wang Jie Cheng OOD 45 93 0 23 Dec 2021
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation Cheng Xue Q. Deng Xuelong Li Qi Dou Pheng Ann Heng 47 27 0 05 Apr 2021
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation H. Zunair A. Ben Hamza MedIm 65 40 0 20 Oct 2020
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment Geeticka Chauhan Ruizhi Liao W. Wells Jacob Andreas Xin Wang Seth Berkowitz Steven Horng Peter Szolovits Polina Golland MedIm 68 53 0 22 Aug 2020
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning Satyananda Kashyap Alexandros Karargyris Joy T. Wu Yaniv Gur Arjun Sharma Ken C. L. Wong Mehdi Moradi Tanveer Syeda-Mahmood OOD 30 12 0 02 Aug 2020
Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies Leo K. Tam Xiaosong Wang E. Turkbey Kevin Lu Yuhong Wen Daguang Xu 45 14 0 31 Jul 2020
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision J. Wolleb Robin Sandkühler Philippe C. Cattin 542 21 0 28 Jul 2020
Chest X-ray Report Generation through Fine-Grained Label Learning Tanveer Syeda-Mahmood Ken C. L. Wong Yaniv Gur Joy T. Wu A. Jadhav ... A. Pillai Arjun Sharma A. Syed Orest Boyko Mehdi Moradi 79 47 0 27 Jul 2020
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks Congbo Ma Hu Wang Guosheng Lin 43 56 0 21 Jul 2020
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations Hong-Yu Zhou Shuang Yu Cheng Bian Yifan Hu Kai Ma Yefeng Zheng SSL MedIm 61 104 0 15 Jul 2020
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration F. Haghighi M. Taher Zongwei Zhou Michael B. Gotway Jianming Liang MedIm 73 65 0 14 Jul 2020
Inferring the 3D Standing Spine Posture from 2D Radiographs Amirhossein Bayat Anjany Sekuboyina Johannes C. Paetzold Christian Payer Darko Štern M. Urschler Jan S. Kirschke Bjoern Menze 3DH 42 14 0 13 Jul 2020
Domain aware medical image classifier interpretation by counterfactual impact analysis Dimitrios Lenis David Major M. Wimmer Astrid Berg Gert Sluiter Katja Bühler OOD MedIm 50 27 0 13 Jul 2020
Learning to Segment Anatomical Structures Accurately from One Exemplar Yuhang Lu Weijian Li K. Zheng Yirui Wang Adam P. Harrison ... Song Wang Jing Xiao Le Lu C. Kuo S. Miao MedIm 90 16 0 06 Jul 2020
Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields Ricardo Bigolin Lanfredi Joyce D. Schroeder C. Vachet Tolga Tasdizen MedIm 27 6 0 04 Jul 2020
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders Agostina J. Larrazabal Cesar E. Martínez Ben Glocker Enzo Ferrante 103 66 0 24 Jun 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future Joseph Paul Cohen Paul Morrison Lan Dao Karsten Roth T. Duong Marzyeh Ghassemi 71 780 0 22 Jun 2020
Automated Identification of Thoracic Pathology from Chest Radiographs with Enhanced Training Pipeline Adora M. DSouza A. Abidin A. Wismüller 31 11 0 11 Jun 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening Luyang Luo Lequan Yu Hao Chen Quande Liu Xi Wang Jiaqi Xu Pheng-Ann Heng OOD 82 78 0 06 Jun 2020
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images Siham Tabik A. Gómez-Ríos J. L. Martín-Rodríguez I. Sevillano-García M. Rey-Area ... J. Luengo M. A. Valero-González P. García-Villanova E. Olmedo-Sánchez Francisco Herrera 44 271 0 02 Jun 2020
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients M. Iglesia-Vayá J. Saborit J. Montell A. Pertusa A. Bustos ... Domingo Orozco-Beltrán Francisco García-García M. Caparrós G. González J. M. Salinas 40 228 0 01 Jun 2020
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels Hieu H. Pham T. Le Dat Ngo Dat Q. Tran H. Nguyen 70 165 0 25 May 2020
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning Joseph Paul Cohen Lan Dao Paul Morrison Karsten Roth Yoshua Bengio ... A. Abbasi M. Hoshmand-Kochi Marzyeh Ghassemi Haifang Li T. Duong 62 224 0 24 May 2020
Semi-supervised Medical Image Classification with Global Latent Mixing P. Gyawali S. Ghimire Pradeep Bajracharya Zhiyuan Li Linwei Wang 65 36 0 22 May 2020
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification Renato Hermoza Gabriel Maicas Jacinto C. Nascimento G. Carneiro 53 22 0 21 May 2020
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations John McManigle Raquel R Bartz Lawrence Carin 34 3 0 08 May 2020
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images Gianluca Maguolo L. Nanni 62 202 0 27 Apr 2020
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening A. Chakravarty Tandra Sarkar N. Ghosh Ramanathan Sethuraman Debdoot Sheet 36 12 0 24 Apr 2020
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs Arka Mitra A. Chakravarty N. Ghosh Tandra Sarkar Ramanathan Sethuraman Debdoot Sheet 51 9 0 24 Apr 2020
Deep Learning COVID-19 Features on CXR using Limited Training Data Sets Y. Oh Sangjoon Park J. C. Ye 63 695 0 13 Apr 2020
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data Enzo Tartaglione C. Barbano C. Berzovini M. Calandri Marco Grangetto 60 186 0 11 Apr 2020
Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data Ophir Gozes H. Greenspan 76 9 0 20 Mar 2020
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays Mohammad Hashir H. Bertrand Joseph Paul Cohen 58 24 0 07 Feb 2020
On the limits of cross-domain generalization in automated X-ray prediction Joseph Paul Cohen Mohammad Hashir Rupert Brooks H. Bertrand OOD 85 130 0 06 Feb 2020
Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning Evan Schwab A. Gooßen Hrishikesh Deshpande A. Saalbach 32 19 0 23 Jan 2020
Learning Deformable Registration of Medical Images with Anatomical Constraints Lucas Mansilla Diego H. Milone Enzo Ferrante MedIm 60 81 0 20 Jan 2020
Continual Learning for Domain Adaptation in Chest X-ray Classification Matthias Lenga H. Schulz A. Saalbach OOD 55 61 0 16 Jan 2020
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations Gerda Bortsova Florian Dubost Laurens Hogeweg Ioannis Katramados Marleen de Bruijne 55 181 0 04 Nov 2019
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation Y. Xing Z. Ge Rui Zeng Dwarikanath Mahapatra J. Seah M. Law Tom Drummond GAN LM&MA MedIm 41 30 0 11 Oct 2019
Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition Zeju Li Han Li Hu Han G. Shi Jiannan Wang S. Kevin Zhou MedIm 40 15 0 16 Sep 2019
Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays Ricardo Bigolin Lanfredi Joyce D. Schroeder C. Vachet Tolga Tasdizen GAN MedIm 44 14 0 27 Aug 2019
TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays Yuxing Tang Youbao Tang V. Sandfort Jing Xiao Ronald M. Summers ViT MedIm 58 40 0 21 Aug 2019
Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data Maayan Frid-Adar Rula Amer H. Greenspan MedIm 26 22 0 20 Aug 2019
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis Tianyang Zhang Huazhu Fu Yitian Zhao Jun Cheng Mengjie Guo Zaiwang Gu Bing Yang Yuting Xiao Shenghua Gao Jiang-Dong Liu GAN MedIm 60 53 0 06 Aug 2019
Exploring large scale public medical image datasets Luke Oakden-Rayner 59 175 0 30 Jul 2019
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation Zhijie Zhang Huazhu Fu H. Dai Jianbing Shen Yanwei Pang Ling Shao 49 223 0 25 Jul 2019
Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space P. Gyawali Zhiyuan Li S. Ghimire Linwei Wang 58 20 0 22 Jul 2019
Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment Jianbo Yuan Haofu Liao R. Luo Jiebo Luo MedIm 78 194 0 22 Jul 2019