COVID-19: a new deep learning computer-aided model for classification

Response to COVID-19 in Taiwan

(2020) C. Jason Wang et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records

(2020) Huijun Chen et al.   LANCET

Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study

(2020) Heshui Shi et al.   LANCET INFECTIOUS DISEASES

Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases

(2020) Ioannis D. Apostolopoulos et al.   Journal of Medical and Biological Engineering

AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train/Test Models on Multitudinal/Multimodal Data

(2020) K. C. Santosh   JOURNAL OF MEDICAL SYSTEMS

Digital technology and COVID-19

(2020) Daniel Shu Wei Ting et al.   NATURE MEDICINE

On the responsible use of digital data to tackle the COVID-19 pandemic

(2020) Marcello Ienca et al.   NATURE MEDICINE

Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT

(2020) Lin Li et al.   RADIOLOGY

World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19)

(2020) Catrin Sohrabi et al.   International Journal of Surgery

Detection of COVID-19 using CXR and CT images using Transfer Learning and Haralick features

(2020) Varalakshmi Perumal et al.   APPLIED INTELLIGENCE

COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches

(2020) Mesut Toğaçar et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automated detection of COVID-19 cases using deep neural networks with X-ray images

(2020) Tulin Ozturk et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets

(2020) Yujin Oh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images

(2020) Ferhat Ucar et al.   MEDICAL HYPOTHESES

COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios

(2020) Rodolfo M. Pereira et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

COVID-19 image classification using deep features and fractional-order marine predators algorithm

(2020) Ahmed T. Sahlol et al.   Scientific Reports

The importance of standardisation – COVID-19 CT & Radiograph Image Data Stock for deep learning purpose

(2020) Krzysztof Misztal et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep learning approaches for COVID-19 detection based on chest X-ray images

(2020) Aras M. Ismael et al.   EXPERT SYSTEMS WITH APPLICATIONS

Large-scale offline signature recognition via deep neural networks and feature embedding

(2019) Nurullah Çalik et al.   NEUROCOMPUTING

Changing Anesthesia Block Allocations Improves Endoscopy Suite Efficiency

(2019) Mitchell H. Tsai et al.   JOURNAL OF MEDICAL SYSTEMS

An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition

(2018) Zirui Wang et al.   NEUROCOMPUTING

GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification

(2018) Maayan Frid-Adar et al.   NEUROCOMPUTING

Transfer learning using computational intelligence: A survey

(2015) Jie Lu et al.   KNOWLEDGE-BASED SYSTEMS

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Unsupervised learning of hierarchical representations with convolutional deep belief networks

(2011) Honglak Lee et al.   COMMUNICATIONS OF THE ACM