Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays

Multi-task Contrastive Learning for Automatic CT and X-ray Diagnosis of COVID-19

(2021) Jinpeng Li et al.   PATTERN RECOGNITION

BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset

(2021) Alberto Signoroni et al.   MEDICAL IMAGE ANALYSIS

AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study

(2021) Paolo Soda et al.   MEDICAL IMAGE ANALYSIS

Detecting pulmonary diseases using deep features in X-ray images

(2021) Pablo Vieira et al.   PATTERN RECOGNITION

Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies

(2021) Weronika Hryniewska et al.   PATTERN RECOGNITION

COVID-19 Detection from X-ray Images using Multi-Kernel-Size Spatial-Channel Attention Network

(2021) Yuqi Fan et al.   PATTERN RECOGNITION

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR

(2020) Yicheng Fang et al.   RADIOLOGY

Real-time RT-PCR in COVID-19 detection: issues affecting the results

(2020) Alireza Tahamtan et al.   EXPERT REVIEW OF MOLECULAR DIAGNOSTICS

Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning

(2020) Mohamed Loey et al.   Symmetry-Basel

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

Diagnostic Value of Imaging Modalities for COVID-19: A Literature Review (Preprint)

(2020) Rowa Aljondi et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays

(2020) Zheng Wang et al.   PATTERN RECOGNITION

MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients

(2020) Mohammad Shorfuzzaman et al.   PATTERN RECOGNITION

COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images

(2020) Parnian Afshar et al.   PATTERN RECOGNITION LETTERS

Chest imaging representing a COVID-19 positive rural U.S. population

(2020) Shivang Desai et al.   Scientific Data

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

Multimodal Machine Learning: A Survey and Taxonomy

(2018) Tadas Baltrusaitis et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Combining diversity measures for ensemble pruning

(2016) George D.C. Cavalcanti et al.   PATTERN RECOGNITION LETTERS