A CNN-LSTM network with multi-level feature extraction-based approach for automated detection of coronavirus from CT scan and X-ray images

Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning

(2021) Hammam Alshazly et al.   SENSORS

Coronary Artery Heart Disease Prediction: A Comparative Study of Computational Intelligence Techniques

(2020) Safial Islam Ayon et al.   IETE JOURNAL OF RESEARCH

Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

(2020) Chaolin Huang et al.   LANCET

Chest CT for Typical 2019-nCoV Pneumonia: Relationship to Negative RT-PCR Testing

(2020) Xingzhi Xie et al.   RADIOLOGY

Diagnosis and Treatment Protocol for Novel Coronavirus Pneumonia (Trial Version 7)

(2020)   CHINESE MEDICAL JOURNAL

A Fully Automatic Deep Learning System for COVID-19 Diagnostic and Prognostic Analysis

(2020) Shuo Wang et al.   EUROPEAN RESPIRATORY JOURNAL

A novel blood pressure estimation method based on the classification of oscillometric waveforms using machine-learning methods

(2020) Ahmed S. Alghamdi et al.   APPLIED ACOUSTICS

Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks

(2020) Dilbag Singh et al.   EUROPEAN JOURNAL OF CLINICAL MICROBIOLOGY & INFECTIOUS DISEASES

Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections

(2020) Ahmed Sedik et al.   Viruses-Basel

Twin Neural Networks for the classification of large unbalanced datasets

(2019) Jayadeva et al.   NEUROCOMPUTING

Multi-objective differential evolution based random forest for e-health applications

(2019) Manjit Kaur et al.   MODERN PHYSICS LETTERS B

Identification of malicious code variants based on image visualization

(2019) Hamad Naeem et al.   COMPUTERS & ELECTRICAL ENGINEERING

Detection of abnormal heart conditions based on characteristics of ECG signals

(2018) Mohamed Hammad et al.   MEASUREMENT

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

(2018) Melissa A Warren et al.   THORAX

Optimal deep learning model for classification of lung cancer on CT images

(2018) Lakshmanaprabu S.K. et al.   Future Generation Computer Systems-The International Journal of eScience

A Survey on Computer Vision for Assistive Medical Diagnosis from Faces

(2017) Jerome Thevenot et al.   IEEE Journal of Biomedical and Health Informatics

EigenSample: A non-iterative technique for adding samples to small datasets

(2017) Jayadeva et al.   APPLIED SOFT COMPUTING

Bag-of-Frequencies: A Descriptor of Pulmonary Nodules in Computed Tomography Images

(2015) Francesco Ciompi et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Speeded-Up Robust Features (SURF)

(2008) Herbert Bay et al.   COMPUTER VISION AND IMAGE UNDERSTANDING