COVID-19 Image Data Collection: Prospective Predictions Are the Future

22 June 2020

Papers citing "COVID-19 Image Data Collection: Prospective Predictions Are the Future"

46 / 46 papers shown

Title
TorchXRayVision: A library of chest X-ray datasets and models Joseph Paul Cohen J. Viviano Paul Bertin Paul Morrison Parsa Torabian ... M. Lungren Akshay S. Chaudhari Rupert Brooks Mohammad Hashir H. Bertrand VLM MedIm 56 123 0 31 Oct 2021
COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring Rula Amer Maayan Frid-Adar Ophir Gozes Jannette Nassar H. Greenspan 57 63 0 04 Aug 2020
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature Yifan Peng Yuxing Tang Sungwon Lee Yingying Zhu Ronald M. Summers Zhiyong Lu OOD 22 16 0 11 Jun 2020
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset A. Signoroni Mattia Savardi Sergio Benini Nicola Adami R. Leonardi ... F. Vaccher M. Ravanelli A. Borghesi R. Maroldi D. Farina 55 37 0 08 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 25 227 0 01 Jun 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 40 224 0 24 May 2020
Lung Segmentation from Chest X-rays using Variational Data Imputation Raghavendra Selvan Erik Dam Nicki S. Detlefsen Sofus Rischel Kaining Sheng Mads Nielsen A. Pai 53 56 0 20 May 2020
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images Gianluca Maguolo L. Nanni 43 201 0 27 Apr 2020
Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning Shervin Minaee R. Kafieh Milan Sonka Shakib Yazdani G. Soufi 56 829 0 20 Apr 2020
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios R. M. Pereira Diego Bertolini Lucas O. Teixeira C. Silla Yandre M. G. Costa 44 406 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 41 185 0 11 Apr 2020
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection Jianpeng Zhang Yutong Xie Guansong Pang Zhibin Liao Johan Verjans ... Zongji Sun Jian He Yi Li Chunhua Shen Yong-quan Xia 33 445 0 27 Mar 2020
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks Ioannis D. Apostolopoulos Tzani Bessiana 52 1,912 0 25 Mar 2020
COVID-19 Image Data Collection Joseph Paul Cohen Paul Morrison Lan Dao 57 1,010 0 25 Mar 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images Linda Wang A. Wong OOD 67 2,491 0 22 Mar 2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning Karsten Roth Timo Milbich Samarth Sinha Prateek Gupta Bjorn Ommer Joseph Paul Cohen 40 170 0 19 Feb 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi OOD 59 289 0 14 Feb 2020
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays Mohammad Hashir H. Bertrand Joseph Paul Cohen 33 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 56 130 0 06 Feb 2020
Explanation by Progressive Exaggeration Sumedha Singla Brian Pollack Junxiang Chen Kayhan Batmanghelich FAtt MedIm 63 103 0 01 Nov 2019
Saliency is a Possible Red Herring When Diagnosing Poor Generalization J. Viviano B. Simpson Francis Dutil Yoshua Bengio Joseph Paul Cohen FAtt 35 6 0 01 Oct 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 66 1,802 0 10 Apr 2019
InfoMask: Masked Variational Latent Representation to Localize Chest Disease Saeid Asgari Taghanaki Mohammad Havaei T. Berthier Francis Dutil Lisa Di-Jorio Ghassan Hamarneh Yoshua Bengio 72 42 0 28 Mar 2019
PadChest: A large chest x-ray image dataset with multi-label annotated reports A. Bustos A. Pertusa J. M. Salinas M. Iglesia-Vayá LM&MA 45 607 0 22 Jan 2019
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs Alistair E. W. Johnson Tom Pollard Nathaniel R. Greenbaum M. Lungren Chih-ying Deng Yifan Peng Zhiyong Lu R. Mark Seth Berkowitz Steven Horng MedIm 66 803 0 21 Jan 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 65 2,568 0 21 Jan 2019
Towards Robust Lung Segmentation in Chest Radiographs with Deep Learning Jyoti Islam Yanqing Zhang OOD 19 31 0 30 Nov 2018
Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables Giovanni Sutanto J. Zech Luke Oakden-Rayner Yevgen Chebotar Manway Liu William Gale M. McConnell Ankur Handa Thomas M. Snyder Dieter Fox AI4CE OOD 51 244 0 08 Nov 2018
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 76 181 0 16 Oct 2018
A Less Biased Evaluation of Out-of-distribution Sample Detectors Alireza Shafaei Mark Schmidt James J. Little OODD 50 58 0 13 Sep 2018
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation Joseph Paul Cohen Margaux Luck S. Honari OOD MedIm 61 282 0 22 May 2018
Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks Jonathan Rubin Deepan Sanghavi Claire Zhao Kathy Lee Ashequl Qadir M. Xu-Wilson MedIm 21 84 0 20 Apr 2018
Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation S. Stirenko Yuriy Kochura Oleg Alienin Oleksandr Rokovyi Peng Gang Wei Zeng Yuri G. Gordienko 34 116 0 03 Mar 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 89 9,312 0 09 Feb 2018
Deep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer Yuri G. Gordienko Peng Gang Jiang Hui Wei Zeng Yuriy Kochura Oleg Alienin Oleksandr Rokovyi S. Stirenko 27 187 0 20 Dec 2017
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 58 2,691 0 14 Nov 2017
Few-Shot Adversarial Domain Adaptation Saeid Motiian Q. Jones Seyed Mehdi Iranmanesh Gianfranco Doretto 42 410 0 05 Nov 2017
Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks M. Islam Md Abdul Aowal A. T. Minhaz Khalid Ashraf 46 188 0 27 May 2017
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases Xiaosong Wang Yifan Peng Le Lu Zhiyong Lu M. Bagheri Ronald M. Summers LM&MA 119 2,495 0 05 May 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros GAN 79 5,556 0 30 Mar 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks Taeksoo Kim Moonsu Cha Hyunsoo Kim Jung Kwon Lee Jiwon Kim GAN OOD 72 1,979 0 15 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 182 8,072 0 15 Mar 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 93 585 0 10 Mar 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 578 36,599 0 25 Aug 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 68 2,000 0 14 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 585 149,474 0 22 Dec 2014