FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features

Coronavirus Infections—More Than Just the Common Cold

(2020) Catharine I. Paules et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

A new coronavirus associated with human respiratory disease in China

(2020) Fan Wu et al.   NATURE

Evolution of CT Manifestations in a Patient Recovered from 2019 Novel Coronavirus (2019-nCoV) Pneumonia in Wuhan, China

(2020) Heshui Shi et al.   RADIOLOGY

Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia

(2020) Fengxiang Song et al.   RADIOLOGY

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

(2020) Xingzhi Xie et al.   RADIOLOGY

Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

(2020) Tao Ai et al.   RADIOLOGY

CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)

(2020) Michael Chung et al.   RADIOLOGY

CT Imaging of the 2019 Novel Coronavirus (2019-nCoV) Pneumonia

(2020) Junqiang Lei et al.   RADIOLOGY

Deep Learning Techniques for Automatic Detection of Embryonic Neurodevelopmental Disorders

(2020) Omneya Attallah et al.   Diagnostics

Deep learning system to screen coronavirus disease 2019 pneumonia

(2020) Charmaine Butt et al.   APPLIED INTELLIGENCE

Classification of Covid-19 Coronavirus, Pneumonia and Healthy Lungs in CT Scans Using Q-Deformed Entropy and Deep Learning Features

(2020) Ali M. Hasan et al.   Entropy

Ultra-high-resolution computed tomography can demonstrate alveolar collapse in novel coronavirus (COVID-19) pneumonia

(2020) Tae Iwasawa et al.   JAPANESE JOURNAL OF RADIOLOGY

AI Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Etiology 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

CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study

(2020) Mengjie Fang et al.   Science China-Information Sciences

An Effective Mental Stress State Detection and Evaluation System Using Minimum Number of Frontal Brain Electrodes

(2020) Omneya Attallah   Diagnostics

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

Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks

(2020) Ali Abbasian Ardakani et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

Breast cancer detection using deep convolutional neural networks and support vector machines

(2019) Dina A. Ragab et al.   PeerJ

Embryo development stage prediction algorithm for automated time lapse incubators

(2019) D. Dirvanauskas et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A neuro-heuristic approach for recognition of lung diseases from X-ray images

(2019) Qiao Ke et al.   EXPERT SYSTEMS WITH APPLICATIONS

A regional adaptive variational PDE model for computed tomography image reconstruction

(2019) Wei Wei et al.   PATTERN RECOGNITION

Fetal Brain Abnormality Classification from MRI Images of Different Gestational Age

(2019) Attallah et al.   Brain Sciences

Breast Cancer Diagnosis Using an Efficient CAD System Based on Multiple Classifiers

(2019) Ragab et al.   Diagnostics

A New Local Fractional Entropy-Based Model for Kidney MRI Image Enhancement

(2018) Ala’a Al-Shamasneh et al.   Entropy

Differential evolution for filter feature selection based on information theory and feature ranking

(2018) Emrah Hancer et al.   KNOWLEDGE-BASED SYSTEMS

Integration of deep feature representations and handcrafted features to improve the prediction of N 6 -methyladenosine sites

(2018) Leyi Wei et al.   NEUROCOMPUTING

Combining Deep and Handcrafted Image Features for Presentation Attack Detection in Face Recognition Systems Using Visible-Light Camera Sensors

(2018) Dat Tien Nguyen et al.   SENSORS

Employing fusion of learned and handcrafted features for unconstrained ear recognition

(2018) Earnest E. Hansley et al.   IET Biometrics

Handcrafted vs. non-handcrafted features for computer vision classification

(2017) Loris Nanni et al.   PATTERN RECOGNITION

Using multiple classifiers for predicting the risk of endovascular aortic aneurysm repair re-intervention through hybrid feature selection

(2017) Omneya Attallah et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE

Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features

(2017) Jianpeng Zhang et al.   IEEE Journal of Biomedical and Health Informatics

Deep Learning for Health Informatics

(2017) Daniele Ravi et al.   IEEE Journal of Biomedical and Health Informatics

Brain tumour classification using two-tier classifier with adaptive segmentation technique

(2016) V. Anitha et al.   IET Computer Vision

An Artificial Neural Network Stratifies the Risks of Reintervention and Mortality after Endovascular Aneurysm Repair; a Retrospective Observational study

(2015) Alan Karthikesalingam et al.   PLoS One

An investigation of the false discovery rate and the misinterpretation of p-values

(2014) D. Colquhoun   Royal Society Open Science

Radiomics: Extracting more information from medical images using advanced feature analysis

(2012) Philippe Lambin et al.   EUROPEAN JOURNAL OF CANCER

Texture Analysis: A Review of Neurologic MR Imaging Applications

(2010) A. Kassner et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

JADE: Adaptive Differential Evolution With Optional External Archive

(2009) Jingqiao Zhang et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION