Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays

COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays

(2021) Rajeev Kumar Singh et al.   NEURAL COMPUTING & APPLICATIONS

A novel explainable machine learning approach for EEG-based brain-computer interface systems

(2021) Cosimo Ieracitano et al.   NEURAL COMPUTING & APPLICATIONS

COVID-19 Detection by Optimizing Deep Residual Features with Improved Clustering-Based Golden Ratio Optimizer

(2021) Soham Chattopadhyay et al.   Diagnostics

A bi-stage feature selection approach for COVID-19 prediction using chest CT images

(2021) Shibaprasad Sen et al.   APPLIED INTELLIGENCE

EDL-COVID: Ensemble Deep Learning for COVID-19 Case Detection From Chest X-Ray Images

(2021) Shanjiang Tang et al.   IEEE Transactions on Industrial Informatics

Image-Based Malware Classification using Ensemble of CNN Architectures (IMCEC)

(2020) Danish Vasan et al.   COMPUTERS & SECURITY

A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster

(2020) Jasper Fuk-Woo Chan et al.   LANCET

Re-epithelialization and immune cell behaviour in an ex vivo human skin model

(2020) Ana Rakita et al.   Scientific Reports

The Role of Chest Imaging in Patient Management During the COVID-19 Pandemic

(2020) Geoffrey D. Rubin et al.   CHEST

Severe Acute Lung Injury Related to COVID‐19 Infection: A Review and the Possible Role for Escin

(2020) Luca Gallelli et al.   JOURNAL OF CLINICAL PHARMACOLOGY

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

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

Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning

(2020) Aayush Jaiswal et al.   JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble

(2020) Muammer Turkoglu   APPLIED INTELLIGENCE

OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19

(2020) Tripti Goel et al.   APPLIED INTELLIGENCE

An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization

(2020) Dalia Ezzat et al.   APPLIED SOFT COMPUTING

Social Group Optimization–Assisted Kapur’s Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images

(2020) Nilanjan Dey et al.   Cognitive Computation

COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images

(2020) Ruochi Zhang et al.   Interdisciplinary Sciences-Computational Life Sciences

Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images

(2020) Neha Gianchandani et al.   Journal of Ambient Intelligence and Humanized Computing

A multi-context CNN ensemble for small lesion detection

(2019) B. Savelli et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Ensemble of CNN for multi-focus image fusion

(2019) Mostafa Amin-Naji et al.   Information Fusion

Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation

(2019) Jose Dolz et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

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

(2018) Daniel S. Kermany et al.   CELL

Applications of Deep Learning and Reinforcement Learning to Biological Data

(2018) Mufti Mahmud et al.   IEEE Transactions on Neural Networks and Learning Systems

Multimodal Biometric System Using Rank-Level Fusion Approach

(2009) M.M. Monwar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS