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

Towards computer-aided severity assessment via deep neural networks for geographic and opacity extent scoring of SARS-CoV-2 chest X-rays

(2021) A. Wong et al.   Scientific Reports

COVID-19 in CXR: From Detection and Severity Scoring to Patient Disease Monitoring

(2021) Maayan Frid-Adar et al.   IEEE Journal of Biomedical and Health Informatics

A critic evaluation of methods for COVID-19 automatic detection from X-ray images

(2021) Gianluca Maguolo et al.   Information Fusion

CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI

(2020) Dennis Bontempi et al.   MEDICAL IMAGE ANALYSIS

Digital technology and COVID-19

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

Radiographic severity index in COVID-19 pneumonia: relationship to age and sex in 783 Italian patients

(2020) Andrea Borghesi et al.   Radiologia Medica

COVID-19 outbreak in Italy: experimental chest X-ray scoring system for quantifying and monitoring disease progression

(2020) Andrea Borghesi et al.   Radiologia Medica

Assessing the Value of Diagnostic Tests in the New World of COVID-19 Pandemic

(2020) Francesco Sardanelli et al.   RADIOLOGY

Clinical and Chest Radiography Features Determine Patient Outcomes In Young and Middle Age Adults with COVID-19

(2020) Danielle Toussie et al.   RADIOLOGY

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

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

Chest X-ray severity index as a predictor of in-hospital mortality in coronavirus disease 2019: A study of 302 patients from Italy

(2020) Andrea Borghesi et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation

(2020) Nima Tajbakhsh et al.   MEDICAL IMAGE ANALYSIS

Deep transfer learning artificial intelligence accurately stages COVID-19 lung disease severity on portable chest radiographs

(2020) Jocelyn Zhu et al.   PLoS One

Automated Assessment of CO-RADS and Chest CT Severity Scores in Patients with Suspected COVID-19 Using Artificial Intelligence

(2020) Nikolas Lessmann et al.   RADIOLOGY

Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19

(2020) Ho Yuen Frank Wong et al.   RADIOLOGY

Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images

(2020) Maxime Blain et al.   Diagnostic and Interventional Radiology

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

Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning

(2020) Shervin Minaee et al.   MEDICAL IMAGE ANALYSIS

Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis

(2020) Davood Karimi et al.   MEDICAL IMAGE ANALYSIS

Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data

(2020) Enzo Tartaglione et al.   International Journal of Environmental Research and Public Health

A review on lung boundary detection in chest X-rays

(2019) Sema Candemir et al.   International Journal of Computer Assisted Radiology and Surgery

Severity scoring of lung oedema on the chest radiograph is associated with clinical outcomes in ARDS

(2018) Melissa A Warren et al.   THORAX

A brief introduction to weakly supervised learning

(2017) Zhi-Hua Zhou   National Science Review

Weakly supervised histopathology cancer image segmentation and classification

(2014) Yan Xu et al.   MEDICAL IMAGE ANALYSIS

Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration

(2013) Sema Candemir et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING