Fetching the paper…
Reading the bibliography…
In this work, we estimate the severity of pneumonia in COVID-19 patients and conduct a longitudinal study of disease progression.
“Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration”
Sema Candemir et al · 2013
Earlier work this paper cites.
“Automatic tuberculosis screening using chest radiographs”
Stefan Jaeger et al · 2013
Earlier work this paper cites.
“Very deep convolutional networks for large-scale image recognition”
Karen Simonyan and Andrew Zisserman · 2014
Earlier work this paper cites.
“U-net: Convolutional networks for biomedical image segmentation”
Olaf Ronneberger, Philipp Fischer and Thomas Brox · 2015
Earlier work this paper cites.
“Deep residual learning for image recognition”
Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun · 2016
Earlier work this paper cites.
“Grad-cam: Visual explanations from deep networks via gradient-based localization”
Ramprasaath Selvaraju et al · 2017
Earlier work this paper cites.
“Feature pyramid networks for object detection”
Tsung-Yi Lin et al · 2017
Earlier work this paper cites.
“Identifying medical diagnoses and treatable diseases by image-based deep learning”
Daniel Kermany et al · 2018
Earlier work this paper cites.
“Improving the segmentation of anatomical structures in chest radiographs using u-net with an imagenet pre-trained encoder”
Maayan Frid-Adar, Avi Ben-Cohen, Rula Amer and Hayit Greenspan · 2018
Earlier work this paper cites.
“Multimodal unsupervised image-to-image translation”
Xun Huang, Ming-Yu Liu, Serge Belongie and Jan Kautz · 2018
Earlier work this paper cites.
“DeepDRR–a catalyst for machine learning in fluoroscopy-guided procedures”
Mathias Unberath et al · 2018
Earlier work this paper cites.
“Pneumonia Dataset Annotation Methods. RSNA Pneumonia Detection Challenge Discussion.”, 2018
Anouk Stein · 2018
Earlier work this paper cites.
“RSNA pneumonia detection challenge”, 2019
Radiological of North · 2019
Earlier work this paper cites.
“XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation”
Youbao Tang, Yuxing Tang, Jing Xiao and Ronald Summers · 2019
Earlier work this paper cites.
“Enabling Machine Learning in X-ray-based Procedures via Realistic Simulation of Image Formation”
Mathias Unberath et al · 2019
Earlier work this paper cites.
“A review of coronavirus disease-2019 (COVID-19)”
Tanu Singhal · 2020
Earlier work this paper cites.
“Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study”
Nanshan Chen et al · 2020
Cited alongside, same era.
“World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19)”
Catrin Sohrabi et al · 2020
Cited alongside, same era.
“Portable chest X-ray in coronavirus disease-19 (COVID-19): A pictorial review”
Adam Jacobi, Michael Chung, Adam Bernheim and Corey Eber · 2020
Cited alongside, same era.
“The role of chest imaging in patient management during the COVID-19 pandemic: a multinational consensus statement from the Fleischner Society”
Geoffrey Rubin et al · 2020
Cited alongside, same era.
“Mapping the landscape of artificial intelligence applications against COVID-19”
Joseph Bullock, Katherine Pham, Cynthia Lam and Miguel Luengo-Oroz · 2020
“Automated detection and forecasting of covid-19 using deep learning techniques: A review”
Afshin Shoeibi et al · 2020
Closest in time.
“COVID-19 image data collection”
Joseph Cohen, Paul Morrison and Lan Dao · 2020
Closest in time.
URL: https://github.com/agchung/Figure1-COVID-chestxraydataset
“Figure 1 COVID-19 chest x-ray data initiative”, 2020 · 2020
Closest in time.
“COVID-19 X rays X rays and CT snapshots of CONVID-19 patients”, 2020
Kaggle · 2020
Closest in time.
“End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays”
Alberto Signoroni et al · 2020
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
“Review of artificial intelligence techniques in imaging data acquisition, segmentation and diagnosis for covid-19”
Feng Shi et al · 2020
Cited alongside, same era.
“Leveraging Data Science To Combat COVID-19: A Comprehensive Review”
Siddique Latif et al · 2020
Cited alongside, same era.
Linda Wang and Alexander Wong · 2020
Cited alongside, same era.
“Covid-19: automatic detection from x-ray images utilizing transfer learning with convolutional neural networks”
Ioannis Apostolopoulos and Tzani Mpesiana · 2020
Cited alongside, same era.
“Covid-19 screening on chest x-ray images using deep learning based anomaly detection”
Jianpeng Zhang et al · 2020
Cited alongside, same era.
“Deep learning covid-19 features on cxr using limited training data sets”
Yujin Oh, Sangjoon Park and Jong Ye · 2020
Cited alongside, same era.
“A critic evaluation of methods for covid-19 automatic detection from x-ray images”
Gianluca Maguolo and Loris Nanni · 2020
Cited alongside, same era.
Joseph Cohen et al · 2020
Closest in time.
“Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19”
Matthew Li et al · 2020
Closest in time.
“End-To-End Deep Learning Framework for Coronavirus (COVID-19) Detection and Monitoring”
Nora El-Rashidy et al · 2020
Closest in time.
“Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks”
Matthew Li et al · 2020
Closest in time.
“COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization”
Tahmina Zebin and Shahadate Rezvy · 2020
Closest in time.
Ophir Gozes et al · 2020
Closest in time.
“Lung Segmentation from Chest X-rays using Variational Data Imputation”
Raghavendra Selvan et al · 2020
Closest in time.
“Frequency and distribution of chest radiographic findings in COVID-19 positive patients”
Ho Wong et al · 2020
Closest in time.
“Coronavirus detection and analysis on chest ct with deep learning”
Ophir Gozes et al · 2020
Closest in time.
“Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases”
Xiaosong Wang et al · 2097
Closest in time.