Computers in Biology and Medicine

Article	Citations
Automated detection of COVID-19 cases using deep neural networks with X-ray images	1795
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks	619
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images	537
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches	410
CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization	352
Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation	342
A scoping review of transfer learning research on medical image analysis using ImageNet	247
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review	229
An agent-based model to evaluate the COVID-19 transmission risks in facilities	216
Telehealth utilization during the Covid-19 pandemic: A systematic review	195
Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities	187
Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images	186
A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity	184
Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases	175
In silico methods and tools for drug discovery	173
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review	173
COVID-19 cough classification using machine learning and global smartphone recordings	168
Machine learning in medical applications: A review of state-of-the-art methods	168
The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis	154
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison	154
Network pharmacology prediction and molecular docking-based strategy to explore the potential mechanism of Huanglian Jiedu Decoction against sepsis	150
In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19	147
Transparency of deep neural networks for medical image analysis: A review of interpretability methods	145
Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier	137
Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm	135

Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation	134
A comprehensive review of deep learning in colon cancer	131
Deep learning for diabetic retinopathy detection and classification based on fundus images: A review	131
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review	129
Generative Adversarial Networks in Medical Image augmentation: A review	126
Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study	124
Sharp U-Net: Depthwise convolutional network for biomedical image segmentation	122
Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network	122
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning	121
Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application	121
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTSCAN Imagery	120
COVID-19 Coronavirus spike protein analysis for synthetic vaccines, a peptidomimetic antagonist, and therapeutic drugs, and analysis of a proposed achilles’ heel conserved region to minimize probabili	119
A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics	115
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques	112
The identification of children with autism spectrum disorder by SVM approach on EEG and eye-tracking data	112
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial	107
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization	107
Application of decision tree-based ensemble learning in the classification of breast cancer	107
DSNet: Automatic dermoscopic skin lesion segmentation	105
Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction	104
Scalp EEG classification using deep Bi-LSTM network for seizure detection	103
Diagnostic classification of cancers using extreme gradient boosting algorithm and multi-omics data	103
Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism	99
A framework for breast cancer classification using Multi-DCNNs	99
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review	99
Colorectal polyp region extraction using saliency detection network with neutrosophic enhancement	98
A novel melanoma prediction model for imbalanced data using optimized SqueezeNet by bald eagle search optimization	97
Deep learning for diagnosis of COVID-19 using 3D CT scans	97
Lightweight deep learning models for detecting COVID-19 from chest X-ray images	96
Identification of novel compounds against three targets of SARS CoV-2 coronavirus by combined virtual screening and supervised machine learning	94
A scoping review of the use of Twitter for public health research	93
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review	92
Multi-modal medical image fusion by Laplacian pyramid and adaptive sparse representation	90
In silico drug discovery of major metabolites from spices as SARS-CoV-2 main protease inhibitors	90
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients	90
Evaluation of acridinedione analogs as potential SARS-CoV-2 main protease inhibitors and their comparison with repurposed anti-viral drugs	89
LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data	88
Recognition of human emotions using EEG signals: A review	88
NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images	88
Precision health data: Requirements, challenges and existing techniques for data security and privacy	86
A robust real-time deep learning based automatic polyp detection system	86
A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning	85
Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN	85
A textual-based featuring approach for depression detection using machine learning classifiers and social media texts	85
Electrocardiogram heartbeat classification based on a deep convolutional neural network and focal loss	84
COVID-19 infection localization and severity grading from chest X-ray images	84
EEG Channel Correlation Based Model for Emotion Recognition	84
Deep learning for mass detection in Full Field Digital Mammograms	83
Interpretable prediction of 3-year all-cause mortality in patients with heart failure caused by coronary heart disease based on machine learning and SHAP	83
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease	82

A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding	81
How to ensure the confidentiality of electronic medical records on the cloud: A technical perspective	80
Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method	80
A multistage deep neural network model for blood pressure estimation using photoplethysmogram signals	79
A review of deep learning-based detection methods for COVID-19	79
CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR	78
Hybrid dilation and attention residual U-Net for medical image segmentation	78
Automatic seizure detection using orthogonal matching pursuit, discrete wavelet transform, and entropy based features of EEG signals	78
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation	78
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy	76
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals	76
An efficient image segmentation method for skin cancer imaging using improved golden jackal optimization algorithm	76
Identification of potential plant bioactive as SARS-CoV-2 Spike protein and human ACE2 fusion inhibitors	76
COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review	75
Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound	75
Targeting COVID-19 (SARS-CoV-2) main protease through active phytocompounds of ayurvedic medicinal plants – Emblica officinalis (Amla), Phyllanthus niruri Linn. (Bhumi Amla) and Tinospora cordifolia (	75
Addressing class imbalance in deep learning for small lesion detection on medical images	74
Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding	74
A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique	74
An analytical study of modified multi-objective Harris Hawk Optimizer towards medical data feature selection	74
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets	73
A survey on applications of deep learning in microscopy image analysis	73
Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients	72
Precision nutrition: A systematic literature review	72
COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization	72
Automatic assessment of Alzheimer’s disease diagnosis based on deep learning techniques	72
Feature selection methods on gene expression microarray data for cancer classification: A systematic review	72
Breast cancer prediction using a hybrid method based on Butterfly Optimization Algorithm and Ant Lion Optimizer	72
Integrating multi-omics data through deep learning for accurate cancer prognosis prediction	72
Designing multi-epitope vaccine against Staphylococcus aureus by employing subtractive proteomics, reverse vaccinology and immuno-informatics approaches	72
Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals	71
Multi-omics-based identification of SARS-CoV-2 infection biology and candidate drugs against COVID-19	71
Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation	71
Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections	71
Convolutional neural networks for breast cancer detection in mammography: A survey	71
COVID-19 X-ray image segmentation by modified whale optimization algorithm with population reduction	70
Machine learning model for predicting malaria using clinical information	70
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals	69
AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusion	69
Binary Horse herd optimization algorithm with crossover operators for feature selection	69
A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models	69
Discovering symptom patterns of COVID-19 patients using association rule mining	68
COVID-19 image classification using deep learning: Advances, challenges and opportunities	68
Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques	68
Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation	68
Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR	68
Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI	68
Adaptive soft erasure with edge self-attention for weakly supervised semantic segmentation: Thyroid ultrasound image case study	67
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach	67
A transformer-based deep neural network for arrhythmia detection using continuous ECG signals	67
HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks	66
Diagnosis of skin diseases in the era of deep learning and mobile technology	66
Breast cancer detection using deep learning: Datasets, methods, and challenges ahead	66
Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals	66
3D PBV-Net: An automated prostate MRI data segmentation method	65
A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals	65
Deep learning model for automated kidney stone detection using coronal CT images	63
A deep learning based ensemble learning method for epileptic seizure prediction	63
DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation	63
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works	63
Deep learning based classification of facial dermatological disorders	62
Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm	62
D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution	62
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review	62
PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition	62
Graph-based relevancy-redundancy gene selection method for cancer diagnosis	61
Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks	61
Deep learning for colon cancer histopathological images analysis	61
PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images	60
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images	60
Forecasting COVID-19 new cases using deep learning methods	60
Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data	60
Immunoinformatics-guided design of an epitope-based vaccine against severe acute respiratory syndrome coronavirus 2 spike glycoprotein	60
An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound	59
Immunogenomics guided design of immunomodulatory multi-epitope subunit vaccine against the SARS-CoV-2 new variants, and its validation through in silico cloning and immune simulation	59
Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine	59
Extinction and stationary distribution of a stochastic COVID-19 epidemic model with time-delay	59
Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network	58
iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model	58
Design of intelligent diabetes mellitus detection system using hybrid feature selection based XGBoost classifier	58

Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects	58
Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs	58
Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis	58
Investigation of interactions between COVID-19 and diabetes with hereditary traits using real data: A case study in Turkey	57
Potential of turmeric-derived compounds against RNA‐dependent RNA polymerase of SARS‐CoV‐2: An in-silico approach	57
Evaluation of machine learning algorithms for health and wellness applications: A tutorial	57
Kidney segmentation from computed tomography images using deep neural network	57
ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration	57
Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review	57
Explainable, trustworthy, and ethical machine learning for healthcare: A survey	57
A machine learning model for early detection of diabetic foot using thermogram images	57
Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images	56
A computational approach for rational discovery of inhibitors for non-structural protein 1 of SARS-CoV-2	56
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020	56
Gene function and cell surface protein association analysis based on single-cell multiomics data	56
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans	56
Anatomical classification of upper gastrointestinal organs under various image capture conditions using AlexNet	56
LeuFeatx: Deep learning–based feature extractor for the diagnosis of acute leukemia from microscopic images of peripheral blood smear	56
Automated prediction of sepsis using temporal convolutional network	55
An improved transformer network for skin cancer classification	55
A multi-resolution model for histopathology image classification and localization with multiple instance learning	55
Multi-model and multi-slice ensemble learning architecture based on 2D convolutional neural networks for Alzheimer's disease diagnosis	55
UMAP-assisted K-means clustering of large-scale SARS-CoV-2 mutation datasets	55
A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans	54
Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature	54
A molecular docking study of EGCG and theaflavin digallate with the druggable targets of SARS-CoV-2	54
COVID-19 detection in chest X-ray images using deep boosted hybrid learning	54
De novo design of novel protease inhibitor candidates in the treatment of SARS-CoV-2 using deep learning, docking, and molecular dynamic simulations	54
Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools	54
A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound	54
FBSED based automatic diagnosis of COVID-19 using X-ray and CT images	54
Performance optimisation of deep learning models using majority voting algorithm for brain tumour classification	54
Automatic skin lesion segmentation based on FC-DPN	54
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method	53
COVID-19 detection in cough, breath and speech using deep transfer learning and bottleneck features	53
Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine	53
MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis	53
Mechanisms underlying the therapeutic effects of Qingfeiyin in treating acute lung injury based on GEO datasets, network pharmacology and molecular docking	53
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0	53
Convolutional neural network ensemble for Parkinson's disease detection from voice recordings	53
A review of wearable and unobtrusive sensing technologies for chronic disease management	52
EEG fingerprinting: Subject-specific signature based on the aperiodic component of power spectrum	52
Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images	52
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method	52
A deep learning framework with an embedded-based feature selection approach for the early detection of the Alzheimer's disease	52
Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images	52
Automatic extraction and stenosis evaluation of coronary arteries in invasive coronary angiograms	51
Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray	51
A novel stacking technique for prediction of diabetes	51
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks	51
Privacy-preserving artificial intelligence in healthcare: Techniques and applications	51
Disease type detection in lung and colon cancer images using the complement approach of inefficient sets	51
Deep learning techniques for liver and liver tumor segmentation: A review	50
Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers	50
Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy	50
Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan	50
Bioinformatics studies on a function of the SARS-CoV-2 spike glycoprotein as the binding of host sialic acid glycans	50
Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism	49
Artificial intelligence for breast cancer analysis: Trends & directions	49
Vision-based human fall detection systems using deep learning: A review	48
A meta-analysis of comorbidities in COVID-19: Which diseases increase the susceptibility of SARS-CoV-2 infection?	48
Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI	48
Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph	48
Multi-channel lung sound classification with convolutional recurrent neural networks	48
AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets	48
Accuracy of deep learning for automated detection of pneumonia using chest X-Ray images: A systematic review and meta-analysis	48
A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse autoencoder and feed forward neural network	48
ECG signal classification with binarized convolutional neural network	47
Simple methods for the lesion detection and severity grading of diabetic retinopathy by image processing and transfer learning	47
Automated detection of ADHD: Current trends and future perspective	47
Self-supervised representation learning from 12-lead ECG data	47
Design and properties of biomimetic irregular scaffolds for bone tissue engineering	47
Clinical data classification using an enhanced SMOTE and chaotic evolutionary feature selection	47
CNN architecture optimization using bio-inspired algorithms for breast cancer detection in infrared images	47
SegSRGAN: Super-resolution and segmentation using generative adversarial networks — Application to neonatal brain MRI	47
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence	46
Generative adversarial networks in medical image segmentation: A review	46
Pose-aware instance segmentation framework from cone beam CT images for tooth segmentation	46
Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals	46
Multiclass wound image classification using an ensemble deep CNN-based classifier	46
A machine learning model for detecting invasive ductal carcinoma with Google Cloud AutoML Vision	45
A unique view of SARS-CoV-2 through the lens of ORF8 protein	45
AND-rPPG: A novel denoising-rPPG network for improving remote heart rate estimation	45
Deep sequence modelling for Alzheimer's disease detection using MRI	45
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain	45
Computational repurposing of tamibarotene against triple mutant variant of SARS-CoV-2	45
Data augmentation for medical imaging: A systematic literature review	45
MDC-net: A new convolutional neural network for nucleus segmentation in histopathology images with distance maps and contour information	45
VDA-RWLRLS: An anti-SARS-CoV-2 drug prioritizing framework combining an unbalanced bi-random walk and Laplacian regularized least squares	45
Detection of patient-ventilator asynchrony from mechanical ventilation waveforms using a two-layer long short-term memory neural network	45
Artificial intelligence-driven assessment of radiological images for COVID-19	45
High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images	44
Computational simulations of hybrid mediated nano- hemodynamics (Ag-Au/Blood) through an irregular symmetric stenosis	44
A modified reptile search algorithm for global optimization and image segmentation: Case study brain MRI images	44
Mapping research strands of ethics of artificial intelligence in healthcare: A bibliometric and content analysis	44