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

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

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Deep Model Intellectual Property Protection via Deep Watermarking Jie Zhang Dongdong Chen Jing Liao Weiming Zhang Huamin Feng G. Hua Nenghai Yu 33 106 0 08 Mar 2021
NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification Fengbei Liu Yuanhong Chen Yu Tian Yuyuan Liu Chong Wang Vasileios Belagiannis G. Carneiro 23 11 0 06 Mar 2021
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification Fengbei Liu Yu Tian F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro 23 41 0 05 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 75 982 0 03 Mar 2021
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations N. Jethani Mukund Sudarshan Yindalon Aphinyanagphongs Rajesh Ranganath FAtt 82 69 0 02 Mar 2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation Lie Ju Xin Wang Lin Wang Dwarikanath Mahapatra Xin Zhao Mehrtash Harandi Tom Drummond Tongliang Liu Z. Ge NoLa OOD 38 22 0 28 Feb 2021
Conditional Image Generation by Conditioning Variational Auto-Encoders William Harvey Saeid Naderiparizi Frank Wood BDL DRL 33 24 0 24 Feb 2021
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning F. Haghighi M. Taher Zongwei Zhou Michael B. Gotway Jianming Liang MedIm 34 106 0 21 Feb 2021
Improved Semantic Segmentation of Tuberculosis-consistent findings in Chest X-rays Using Augmented Training of Modality-specific U-Net Models with Weak Localizations S. Rajaraman L. Folio Jane Dimperio P. Alderson Sameer Kiran Antani 24 1 0 21 Feb 2021
Domain Adaptation for Medical Image Analysis: A Survey Hao Guan Mingxia Liu OOD 48 532 0 18 Feb 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays Joseph Paul Cohen Rupert Brooks Sovann En Evan Zucker Anuj Pareek M. Lungren Akshay S. Chaudhari FAtt MedIm 37 4 0 18 Feb 2021
Boosting Deep Transfer Learning for COVID-19 Classification F. Altaf Syed Mohammed Shamsul Islam N. Janjua Naveed Akhtar OOD 21 8 0 16 Feb 2021
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice V. Kulkarni M. Gawali A. Kharat VLM 51 21 0 03 Feb 2021
Reliable COVID-19 Detection Using Chest X-ray Images A. Degerli Mete Ahishali S. Kiranyaz M. Chowdhury Moncef Gabbouj 30 8 0 28 Jan 2021
Weakly Supervised Thoracic Disease Localization via Disease Masks Hyun-woo Kim Hong G Jung Seong-Whan Lee 29 9 0 25 Jan 2021
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations Tao Wei Angelica I Aviles-Rivero Shuo Wang Yuan Huang F. Gilbert Carola-Bibiane Schönlieb Chen Chen MedIm 18 15 0 20 Jan 2021
Cross-domain few-shot learning with unlabelled data Fupin Yao 21 10 0 19 Jan 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation Alexander Ke William Ellsworth Oishi Banerjee A. Ng Pranav Rajpurkar MedIm 73 102 0 18 Jan 2021
Supervised Transfer Learning at Scale for Medical Imaging Basil Mustafa Aaron Loh Jan Freyberg Patricia MacWilliams Megan Wilson ... Shruthi Prabhakara Umesh Telang Alan Karthikesalingam N. Houlsby Vivek Natarajan LM&MA 32 67 0 14 Jan 2021
Big Self-Supervised Models Advance Medical Image Classification Shekoofeh Azizi Basil Mustafa Fiona Ryan Zach Beaver Jan Freyberg ... Alan Karthikesalingam Simon Kornblith Ting-Li Chen Vivek Natarajan Mohammad Norouzi SSL 48 506 0 13 Jan 2021
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction Anuroop Sriram Matthew Muckley Koustuv Sinha Farah E. Shamout Joelle Pineau Krzysztof J. Geras Lea Azour Y. Aphinyanaphongs N. Yakubova W. Moore MedIm 134 64 0 13 Jan 2021
Generative Adversarial U-Net for Domain-free Medical Image Augmentation Xiaocong Chen Yun Yvonna Li Lina Yao Ehsan Adeli Yu Zhang GAN OOD MedIm 54 17 0 12 Jan 2021
A Framework for Assurance of Medication Safety using Machine Learning Yan Jia T. Lawton John McDermid Eric Rojas Ibrahim Habli 16 8 0 11 Jan 2021
Multi-label Ranking: Mining Multi-label and Label Ranking Data L. Dery 32 7 0 03 Jan 2021
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection Hamzeh Asgharnezhad Afshar Shamsi Jokandan R. Alizadehsani Abbas Khosravi S. Nahavandi Z. Sani D. Srinivasan UQCV 36 70 0 22 Dec 2020
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 27 142 0 14 Dec 2020
ESAD: End-to-end Deep Semi-supervised Anomaly Detection Chaoqin Huang Fei Ye Peisen Zhao Ya Zhang Yanfeng Wang Qi Tian 27 12 0 09 Dec 2020
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning J. Cai B. Cai S. Shen 27 7 0 03 Dec 2020
Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach Julián D. Arias-Londoño J. Gómez-García Laureano Moro Velázquez Juan Ignacio Godino-Llorente 37 78 0 29 Nov 2020
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19 Aoxiao Zhong Xiang Li Dufan Wu Hui Ren Kyungsang Kim ... W. Chung Ning Guo I. Dayan M. Kalra Quanzheng Li 22 64 0 26 Nov 2020
Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays Yan Han Chongyan Chen Liyan Tang Mingquan Lin Ajay Jaiswal Song Wang Ahmed H. Tewfik George Shih Ying Ding Yifan Peng LM&MA 26 9 0 25 Nov 2020
Backdoor Attacks on the DNN Interpretation System Shihong Fang A. Choromańska FAtt AAML 29 19 0 21 Nov 2020
Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-ray Images Jingxiong Li Yaqi Wang Shuai Wang Jun Wang Jun Liu Qun Jin Lingling Sun 14 1 0 11 Nov 2020
Meta-learning Transferable Representations with a Single Target Domain Hong Liu Jeff Z. HaoChen Colin Wei Tengyu Ma AAML 43 5 0 03 Nov 2020
Triage of Potential COVID-19 Patients from Chest X-ray Images using Hierarchical Convolutional Networks K. Dev Sunder Ali Khowaja A. Bist V. Saini Surbhi Bhatia 30 29 0 01 Nov 2020
Towards falsifiable interpretability research Matthew L. Leavitt Ari S. Morcos AAML AI4CE 21 67 0 22 Oct 2020
High resolution weakly supervised localization architectures for medical images Konpat Preechakul S. Sriswasdi B. Kijsirikul Ekapol Chuangsuwanich WSOL 9 3 0 22 Oct 2020
Automating Abnormality Detection in Musculoskeletal Radiographs through Deep Learning Goodarz Mehr MedIm 9 7 0 21 Oct 2020
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 26 164 0 20 Oct 2020
A generalized deep learning model for multi-disease Chest X-Ray diagnostics Nabit A. Bajwa Kedar Bajwa A. Rana Muhammad Faique Shakeel K. Haqqi Suleiman A. Khan OOD 21 0 0 17 Oct 2020
Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset Siyi Tang Amirata Ghorbani R. Yamashita Sameer Rehman Jared A. Dunnmon James Zou D. Rubin TDI 11 80 0 15 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp Günter Klambauer Sepp Hochreiter OOD 30 45 0 13 Oct 2020
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANs Bradley Max Segal D. Rubin G. Rubin Adam Pantanowitz MedIm 25 36 0 07 Oct 2020
Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs C. Seibold Jens Kleesiek H. Schlemmer Rainer Stiefelhagen SSL 18 6 0 30 Sep 2020
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays Angelica I Aviles-Rivero P. Sellars Carola-Bibiane Schönlieb Nicolas Papadakis DiffM MedIm SSL 27 30 0 30 Sep 2020
ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays N. K. Chowdhury M. A. Kabir Md. Muhtadir Rahman Noortaz Rezoana 14 57 0 24 Sep 2020
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms Nan Wu Zhe Huang Yiqiu Shen Jungkyu Park Jason Phang ... S. G. Kim Kyunghyun Cho Laura Heacock Linda Moy Krzysztof J. Geras 16 6 0 19 Sep 2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition Binyu Tian Qing Guo Felix Juefei Xu W. L. Chan Yupeng Cheng Xiaohong Li Xiaofei Xie Shengchao Qin AAML AI4CE 34 33 0 19 Sep 2020
Interpretation of smartphone-captured radiographs utilizing a deep learning-based approach Hung Le Phuong Nguyen T. Nguyen K. Le Thanh-Thien Nguyen MedIm 11 2 0 13 Sep 2020
Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies Haomin Chen S. Miao Daguang Xu Gregory Hager Adam P. Harrison 27 28 0 11 Sep 2020