C+EffxNet: A novel hybrid approach for COVID-19 diagnosis on CT images based on CBAM and EfficientNet

ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans

(2021) Mehdi Yousefzadeh et al.   PLoS One

Artificial Intelligence in Healthcare: Review and Prediction Case Studies

(2020) Guoguang Rong et al.   Engineering

Fully convolutional attention network for biomedical image segmentation

(2020) Junlong Cheng et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network

(2020) Jing Zhang et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

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

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

(2020) Jun Wang 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

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

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

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

(2020) Deng-Ping Fan 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

SCAU-Net: Spatial-Channel Attention U-Net for Gland Segmentation

(2020) Peng Zhao et al.   Frontiers in Bioengineering and Biotechnology

Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence

(2020) Ilker Ozsahin et al.   Computational and Mathematical Methods in Medicine

Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease

(2020) Liangliang Liu et al.   MEDICAL IMAGE ANALYSIS

Enhancing U-Net with Spatial-Channel Attention Gate for Abnormal Tissue Segmentation in Medical Imaging

(2020) Trinh Le Ba Khanh et al.   Applied Sciences-Basel

CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading

(2020) Along He et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Tumor type detection in brain MR images of the deep model developed using hypercolumn technique, attention modules, and residual blocks

(2020) Mesut Toğaçar et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images

(2020) Kai Gao et al.   MEDICAL IMAGE ANALYSIS

COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images

(2020) Alaa S. Al-Waisy et al.   Soft Computing

Multi-Scale Self-Guided Attention for Medical Image Segmentation

(2020) Ashish Sinha et al.   IEEE Journal of Biomedical and Health Informatics

MH-COVIDNet: Diagnosis of COVID-19 using deep neural networks and meta-heuristic-based feature selection on X-ray images

(2020) Murat Canayaz   Biomedical Signal Processing and Control

Parallel Deep Learning Algorithms With Hybrid Attention Mechanism for Image Segmentation of Lung Tumors

(2020) Hexuan Hu et al.   IEEE Transactions on Industrial Informatics

BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model

(2019) Mesut Toğaçar et al.   MEDICAL HYPOTHESES

Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns

(2017) Bharath Hariharan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

X-ray detectors in medical imaging

(2013) Martin Spahn   NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT

Ambiguities and conflicting results: The limitations of the kappa statistic in establishing the interrater reliability of the Irish nursing minimum data set for mental health: A discussion paper

(2007) Roisin Morris et al.   INTERNATIONAL JOURNAL OF NURSING STUDIES