暂无分享,去创建一个
Ankur Singh Bist | Kapal Dev | Surbhi Bhatia | Sunder Ali Khowaja | Vaibhav Saini | Aman Jaiswal | Surbhi Bhatia | A. Bist | Aman Jaiswal | V. Saini | K. Dev
[1] Lull Gf,et al. THE AMERICAN MEDICAL ASSOCIATION. , 1947, Science.
[2] S. Lerner,et al. Community-acquired pneumonia , 1998, The Lancet.
[3] Sheldon P Stone,et al. Community-acquired pneumonia , 1998, The Lancet.
[4] R. Brunham,et al. Severe acute respiratory syndrome (SARS): a year in review. , 2005, Annual review of medicine.
[5] Dima Damen,et al. Recognizing linked events: Searching the space of feasible explanations , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Daphne Koller,et al. Discriminative learning of relaxed hierarchy for large-scale visual recognition , 2011, 2011 International Conference on Computer Vision.
[7] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[8] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Forrest N. Iandola,et al. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size , 2016, ArXiv.
[11] Andrew Zisserman,et al. Convolutional Two-Stream Network Fusion for Video Action Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Ronald M. Summers,et al. ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases , 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.
[13] Ramprasaath R. Selvaraju,et al. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[14] Andrew Y. Ng,et al. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning , 2017, ArXiv.
[15] Bernardo Nugroho Yahya,et al. Hierarchical classification method based on selective learning of slacked hierarchy for activity recognition systems , 2017, Expert Syst. Appl..
[16] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] The DeepRadiology Team. Pneumonia Detection in Chest Radiographs , 2018, ArXiv.
[18] Debdoot Sheet,et al. Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain , 2018, ICVGIP.
[19] Mohammad S. Obaidat,et al. SeDaTiVe: SDN-Enabled Deep Learning Architecture for Network Traffic Control in Vehicular Cyber-Physical Systems , 2018, IEEE Network.
[20] Mohammad S. Obaidat,et al. DLRS: Deep Learning-Based Recommender System for Smart Healthcare Ecosystem , 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).
[21] Chuan Qin,et al. From SARS to MERS, Thrusting Coronaviruses into the Spotlight , 2019, Viruses.
[22] Veronika Cheplygina,et al. Cats or CAT scans: transfer learning from natural or medical image source datasets? , 2018, Current Opinion in Biomedical Engineering.
[23] Seok-Lyong Lee,et al. Hybrid and hierarchical fusion networks: a deep cross-modal learning architecture for action recognition , 2019, Neural Computing and Applications.
[24] Rohit Bajaj,et al. Pneumothorax Segmentation: Deep Learning Image Segmentation to predict Pneumothorax , 2019, ArXiv.
[25] M. Kuo,et al. Frequency and Distribution of Chest Radiographic Findings in COVID-19 Positive Patients , 2019, Radiology.
[26] Jon Kleinberg,et al. Transfusion: Understanding Transfer Learning for Medical Imaging , 2019, NeurIPS.
[27] Abdul Hafeez,et al. COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs , 2020, ArXiv.
[28] Chulhong Kim,et al. Multi-Channel Transfer Learning of Chest X-ray Images for Screening of COVID-19 , 2020, Electronics.
[29] Lawrence O. Hall,et al. Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset , 2020, ArXiv.
[30] A. Wong,et al. COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images , 2020, Scientific Reports.
[31] Mohammad Rahimzadeh,et al. A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2 , 2020, Informatics in Medicine Unlocked.
[32] S. Balakrishnan,et al. Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients. , 2020, AJR. American journal of roentgenology.
[33] Lawrence O. Hall,et al. Finding COVID-19 from Chest X-rays using Deep Learning on a Small Dataset , 2020 .
[34] S. Rozelle,et al. Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: a scoping review , 2020, Infectious Diseases of Poverty.
[35] Yi Li,et al. Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection , 2020 .
[36] R. Kumar,et al. Accurate Prediction of COVID-19 using Chest X-Ray Images through Deep Feature Learning model with SMOTE and Machine Learning Classifiers , 2020, medRxiv.
[37] Mohammad Rahimzadeh,et al. A New Modified Deep Convolutional Neural Network for Detecting COVID-19 from X-ray Images , 2020, ArXiv.
[38] Sushmita Mitra,et al. Deep Learning for Screening COVID-19 using Chest X-Ray Images , 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).
[39] Jun Liu,et al. Chest CT for Typical 2019-nCoV Pneumonia: Relationship to Negative RT-PCR Testing , 2020, Radiology.
[40] Kaushik Roy,et al. Shallow Convolutional Neural Network for COVID-19 Outbreak Screening Using Chest X-rays , 2020, Cogn. Comput..
[41] Q. Tao,et al. Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases , 2020, Radiology.
[42] Ioannis D. Apostolopoulos,et al. Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks , 2020, Physical and Engineering Sciences in Medicine.
[43] Joseph Paul Cohen,et al. COVID-19 Image Data Collection: Prospective Predictions Are the Future , 2020, The Journal of Machine Learning for Biomedical Imaging.
[44] Samy S. Abu-Naser,et al. COVID-19 Detection using Artificial Intelligence , 2020 .
[45] Yandre M. G. Costa,et al. COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios , 2020, Computer Methods and Programs in Biomedicine.
[46] Ezz El-Din Hemdan,et al. COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images , 2020, ArXiv.
[47] Chunhua Shen,et al. COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection , 2020, ArXiv.
[48] Joseph Paul Cohen,et al. COVID-19 Image Data Collection , 2020, ArXiv.
[49] Amritpal Singh,et al. Blockchain-enabled secure communication for drone delivery: a case study in COVID-like scenarios , 2020, DroneCom@MOBICOM.
[50] Ali Kashif Bashir,et al. AI-Powered Blockchain - A Decentralized Secure Multiparty Computation Protocol for IoV , 2020, IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
[51] D. Al-karawi,et al. AI based Chest X-Ray (CXR) Scan Texture Analysis Algorithm for Digital Test of COVID-19 Patients , 2020, medRxiv.
[52] U. Rajendra Acharya,et al. Automated detection of COVID-19 cases using deep neural networks with X-ray images , 2020, Computers in Biology and Medicine.
[53] C. L. Chowdhary,et al. Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey , 2020, Sustainable Cities and Society.
[54] Yicheng Fang,et al. Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR , 2020, Radiology.
[55] Jong Chul Ye,et al. Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets , 2020, IEEE Transactions on Medical Imaging.
[56] Syeda Sundus Zehra,et al. Comparative Analysis of Bio-Inspired Algorithms for Underwater Wireless Sensor Networks , 2020 .
[57] Mohamed Medhat Gaber,et al. Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network , 2020, Appl. Intell..
[58] M. Aslan,et al. Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in Turkey , 2021, Annals of Clinical and Analytical Medicine.