Uncertainty-aware convolutional neural network for COVID-19 X-ray images classification

Automated detection of COVID-19 from CT scan using convolutional neural network

(2021) Narendra Kumar Mishra et al.   Biocybernetics and Biomedical Engineering

LBP-based information assisted intelligent system for COVID-19 identification

(2021) Shishir Maheshwari et al.   COMPUTERS IN BIOLOGY AND MEDICINE

An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis

(2021) Afshar Shamsi et al.   IEEE Transactions on Neural Networks and Learning Systems

D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution

(2021) Xiangyu Zhao et al.   COMPUTERS IN BIOLOGY AND MEDICINE

RCoNet: Deformable Mutual Information Maximization and High-Order Uncertainty-Aware Learning for Robust COVID-19 Detection

(2021) Shunjie Dong et al.   IEEE Transactions on Neural Networks and Learning Systems

Residual learning based CNN for breast cancer histopathological image classification

(2020) Mahesh Gour et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China

(2020) Zunyou Wu 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

High-quality retinal vessel segmentation using generative adversarial network with a large receptive field

(2020) Hanli Zhao et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches

(2020) Mesut Toğaçar et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

Automated detection of COVID-19 cases using deep neural networks with X-ray images

(2020) Tulin Ozturk et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images

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

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

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

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

Understanding autoencoders with information theoretic concepts

(2019) Shujian Yu et al.   NEURAL NETWORKS

Application of deep transfer learning for automated brain abnormality classification using MR images

(2018) Muhammed Talo et al.   Cognitive Systems Research

Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis

(2017) Stergios Christodoulidis et al.   IEEE Journal of Biomedical and Health Informatics

Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network

(2016) Marios Anthimopoulos et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION