Application of machine learning in CT images and X-rays of COVID-19 pneumonia

Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation

(2021) Yixin Wang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images

(2021) Kelei He et al.   PATTERN RECOGNITION

MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray

(2021) Yu-Dong Zhang et al.   PATTERN RECOGNITION LETTERS

Time Course of Lung Changes On Chest CT During Recovery From 2019 Novel Coronavirus (COVID-19) Pneumonia

(2020) Feng Pan et al.   RADIOLOGY

Quantitative computed tomography analysis for stratifying the severity of Coronavirus Disease 2019

(2020) Cong Shen et al.   Journal of Pharmaceutical Analysis

Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography

(2020) Kang Zhang et al.   CELL

A diagnostic model for coronavirus disease 2019 (COVID-19) based on radiological semantic and clinical features: a multi-center study

(2020) Xiaofeng Chen et al.   EUROPEAN RADIOLOGY

Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT

(2020) Harrison X. Bai et al.   RADIOLOGY

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

(2020) Lin Li et al.   RADIOLOGY

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

(2020) Laure Wynants et al.   BMJ-British Medical Journal

Paediatric multisystem inflammatory syndrome temporally associated with SARS-CoV-2 mimicking Kawasaki disease (Kawa-COVID-19): a multicentre cohort

(2020) Marie Pouletty et al.   ANNALS OF THE RHEUMATIC DISEASES

A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19

(2020) Youssoufa Mohamadou et al.   APPLIED INTELLIGENCE

Anxiety and depression in COVID-19 survivors: Role of inflammatory and clinical predictors

(2020) Mario Gennaro Mazza et al.   BRAIN BEHAVIOR AND IMMUNITY

A Deep Learning and Grad-CAM based Color Visualization Approach for Fast Detection of COVID-19 Cases using Chest X-ray and CT-Scan Images

(2020) Harsh Panwar et al.   CHAOS SOLITONS & FRACTALS

Capacity Evaluation of Diagnostic Tests For COVID-19 Using Multicriteria Decision-Making Techniques

(2020) Murat Sayan et al.   Computational and Mathematical Methods in 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

COVID-19 cardiac injury: Implications for long-term surveillance and outcomes in survivors

(2020) Raul D. Mitrani et al.   HEART RHYTHM

Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning

(2020) Hengyuan Kang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia

(2020) Xi Ouyang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

(2020) Guotai Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning

(2020) Zhongyi Han et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound

(2020) Subhankar Roy et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

COVID ‐19 in muscle‐specific kinase myasthenia gravis: A case report

(2020) Hani Kushlaf   MUSCLE & NERVE

Tension pneumomediastinum in patients with COVID-19

(2020) Alessio Campisi et al.   THORAX

Review of Big Data Analytics, Artificial Intelligence and Nature-Inspired Computing Models towards Accurate Detection of COVID-19 Pandemic Cases and Contact Tracing

(2020) Israel Edem Agbehadji et al.   International Journal of Environmental Research and Public Health

Potential treatment of COVID-19 by inhibitors of human dihydroorotate dehydrogenase

(2020) Yechun Xu et al.   Protein & Cell

Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects

(2020) O.S. Albahri et al.   Journal of Infection and Public Health

Screening Strategies for COVID-19 in Patients With Hematologic Malignancies

(2020) Tarek Assi et al.   Frontiers in Oncology

A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia

(2020) Xiaowei Xu et al.   Engineering

COVID-19 open source data sets: a comprehensive survey

(2020) Junaid Shuja et al.   APPLIED INTELLIGENCE

Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review

(2020) Samuel Lalmuanawma et al.   CHAOS SOLITONS & FRACTALS

A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic

(2020) Abu Sufian et al.   JOURNAL OF SYSTEMS ARCHITECTURE

A Review of the State of the Art in Non-Contact Sensing for COVID-19

(2020) William Taylor et al.   SENSORS

Introducing the GEV Activation Function for Highly Unbalanced Data to Develop COVID-19 Diagnostic Models

(2020) Joshua Bridge et al.   IEEE Journal of Biomedical and Health Informatics

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

(2020) Yu-Dong Zhang et al.   Information Fusion

Automatic COVID ‐19 CT segmentation using U‐Net integrated spatial and channel attention mechanism

(2020) Tongxue Zhou et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Integrative analysis for COVID-19 patient outcome prediction

(2020) Hanqing Chao et al.   MEDICAL IMAGE ANALYSIS

Towards Data‐Efficient Learning: A Benchmark for COVID‐19 CT Lung and Infection Segmentation

(2020) Jun Ma et al.   MEDICAL PHYSICS

ResGNet-C: A graph convolutional neural network for detection of COVID-19

(2020) Xiang Yu et al.   NEUROCOMPUTING

Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing

(2020) Ashkan Ebadi et al.   SCIENTOMETRICS

COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis

(2020) Shui-Hua Wang et al.   Information Fusion

Pathological brain detection based on AlexNet and transfer learning

(2018) Siyuan Lu et al.   Journal of Computational Science

Elderberry flavonoids bind to and prevent H1N1 infection in vitro

(2009) Bill Roschek et al.   PHYTOCHEMISTRY