Computers in Biology and Medicine

Article	Citations
Automated detection of COVID-19 cases using deep neural networks with X-ray images	1769
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks	616
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images	517
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches	405
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	347
Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation	337
A scoping review of transfer learning research on medical image analysis using ImageNet	231
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review	224
An agent-based model to evaluate the COVID-19 transmission risks in facilities	214
Telehealth utilization during the Covid-19 pandemic: A systematic review	182
Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images	177
Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities	176
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review	170
Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases	170
A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity	168
COVID-19 cough classification using machine learning and global smartphone recordings	163
In silico methods and tools for drug discovery	159
Machine learning in medical applications: A review of state-of-the-art methods	156
Computers and viral diseases. Preliminary bioinformatics studies on the design of a synthetic vaccine and a preventative peptidomimetic antagonist against the SARS-CoV-2 (2019-nCoV, COVID-19) coronavi	153
The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis	148
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison	145
In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19	140
Network pharmacology prediction and molecular docking-based strategy to explore the potential mechanism of Huanglian Jiedu Decoction against sepsis	136
Transparency of deep neural networks for medical image analysis: A review of interpretability methods	135
Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm	134

Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier	131
Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation	130
A comprehensive review of deep learning in colon cancer	128
Deep learning for diabetic retinopathy detection and classification based on fundus images: A review	123
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review	120
Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network	119
Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study	118
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	118
Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application	117
Sharp U-Net: Depthwise convolutional network for biomedical image segmentation	116
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning	116
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTSCAN Imagery	115
Generative Adversarial Networks in Medical Image augmentation: A review	115
The identification of children with autism spectrum disorder by SVM approach on EEG and eye-tracking data	107
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques	107
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial	106
Application of decision tree-based ensemble learning in the classification of breast cancer	106
A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics	105
DSNet: Automatic dermoscopic skin lesion segmentation	105
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization	102
Diagnostic classification of cancers using extreme gradient boosting algorithm and multi-omics data	100
Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction	99
A framework for breast cancer classification using Multi-DCNNs	97
Scalp EEG classification using deep Bi-LSTM network for seizure detection	97
Deep learning for diagnosis of COVID-19 using 3D CT scans	96
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review	95
Colorectal polyp region extraction using saliency detection network with neutrosophic enhancement	95
Lightweight deep learning models for detecting COVID-19 from chest X-ray images	94
Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism	93
A scoping review of the use of Twitter for public health research	92
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients	90
Identification of novel compounds against three targets of SARS CoV-2 coronavirus by combined virtual screening and supervised machine learning	89
A novel melanoma prediction model for imbalanced data using optimized SqueezeNet by bald eagle search optimization	89
In silico drug discovery of major metabolites from spices as SARS-CoV-2 main protease inhibitors	89
Evaluation of acridinedione analogs as potential SARS-CoV-2 main protease inhibitors and their comparison with repurposed anti-viral drugs	88
Multi-modal medical image fusion by Laplacian pyramid and adaptive sparse representation	88
NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images	85
A robust real-time deep learning based automatic polyp detection system	83
Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN	83
Precision health data: Requirements, challenges and existing techniques for data security and privacy	83
A textual-based featuring approach for depression detection using machine learning classifiers and social media texts	82
Electrocardiogram heartbeat classification based on a deep convolutional neural network and focal loss	82
A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning	82
EEG Channel Correlation Based Model for Emotion Recognition	81
COVID-19 infection localization and severity grading from chest X-ray images	81
Deep learning for mass detection in Full Field Digital Mammograms	81
Recognition of human emotions using EEG signals: A review	81
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review	81
LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data	80
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease	80

How to ensure the confidentiality of electronic medical records on the cloud: A technical perspective	79
Interpretable prediction of 3-year all-cause mortality in patients with heart failure caused by coronary heart disease based on machine learning and SHAP	79
A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding	78
A multistage deep neural network model for blood pressure estimation using photoplethysmogram signals	77
Hybrid dilation and attention residual U-Net for medical image segmentation	76
Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method	76
A review of deep learning-based detection methods for COVID-19	75
CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR	75
Identification of potential plant bioactive as SARS-CoV-2 Spike protein and human ACE2 fusion inhibitors	75
Automatic seizure detection using orthogonal matching pursuit, discrete wavelet transform, and entropy based features of EEG signals	75
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	74
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 (	74
Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound	73
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy	73
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation	73
Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding	73
Designing multi-epitope vaccine against Staphylococcus aureus by employing subtractive proteomics, reverse vaccinology and immuno-informatics approaches	72
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals	72
A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique	72
An analytical study of modified multi-objective Harris Hawk Optimizer towards medical data feature selection	72
Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals	71
Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections	71
Addressing class imbalance in deep learning for small lesion detection on medical images	71
An efficient image segmentation method for skin cancer imaging using improved golden jackal optimization algorithm	71
Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients	70
Automatic assessment of Alzheimer’s disease diagnosis based on deep learning techniques	70
Breast cancer prediction using a hybrid method based on Butterfly Optimization Algorithm and Ant Lion Optimizer	70
COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization	70
Precision nutrition: A systematic literature review	69
A survey on applications of deep learning in microscopy image analysis	69
Multi-omics-based identification of SARS-CoV-2 infection biology and candidate drugs against COVID-19	69
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets	69
Integrating multi-omics data through deep learning for accurate cancer prognosis prediction	68
Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI	68
COVID-19 X-ray image segmentation by modified whale optimization algorithm with population reduction	68
Convolutional neural networks for breast cancer detection in mammography: A survey	68
Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation	67
Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR	67
Feature selection methods on gene expression microarray data for cancer classification: A systematic review	67
Discovering symptom patterns of COVID-19 patients using association rule mining	66
Adaptive soft erasure with edge self-attention for weakly supervised semantic segmentation: Thyroid ultrasound image case study	66
HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks	66
COVID-19 image classification using deep learning: Advances, challenges and opportunities	65
Binary Horse herd optimization algorithm with crossover operators for feature selection	65
Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation	65
Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques	65
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals	64
A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models	64
A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals	64
3D PBV-Net: An automated prostate MRI data segmentation method	64
Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals	63
AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusion	63
A transformer-based deep neural network for arrhythmia detection using continuous ECG signals	63
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach	62
A deep learning based ensemble learning method for epileptic seizure prediction	62
Breast cancer detection using deep learning: Datasets, methods, and challenges ahead	62
Diagnosis of skin diseases in the era of deep learning and mobile technology	62
Machine learning model for predicting malaria using clinical information	62
Deep learning model for automated kidney stone detection using coronal CT images	61
Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm	61
PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition	61
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works	61
Graph-based relevancy-redundancy gene selection method for cancer diagnosis	61
Forecasting COVID-19 new cases using deep learning methods	60
Deep learning based classification of facial dermatological disorders	60
Immunoinformatics-guided design of an epitope-based vaccine against severe acute respiratory syndrome coronavirus 2 spike glycoprotein	60
Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks	60
D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution	60
Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine	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
Extinction and stationary distribution of a stochastic COVID-19 epidemic model with time-delay	59
PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images	58
An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound	58
Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data	57
Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs	57
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review	57
Deep learning for colon cancer histopathological images analysis	57
iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model	57
Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network	57
Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects	56

Investigation of interactions between COVID-19 and diabetes with hereditary traits using real data: A case study in Turkey	56
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images	56
Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis	56
Evaluation of machine learning algorithms for health and wellness applications: A tutorial	56
Explainable, trustworthy, and ethical machine learning for healthcare: A survey	55
A computational approach for rational discovery of inhibitors for non-structural protein 1 of SARS-CoV-2	55
Kidney segmentation from computed tomography images using deep neural network	55
UMAP-assisted K-means clustering of large-scale SARS-CoV-2 mutation datasets	55
Design of intelligent diabetes mellitus detection system using hybrid feature selection based XGBoost classifier	55
De novo design of novel protease inhibitor candidates in the treatment of SARS-CoV-2 using deep learning, docking, and molecular dynamic simulations	54
Potential of turmeric-derived compounds against RNA‐dependent RNA polymerase of SARS‐CoV‐2: An in-silico approach	54
Automatic skin lesion segmentation based on FC-DPN	54
DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation	54
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020	54
Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images	54
A molecular docking study of EGCG and theaflavin digallate with the druggable targets of SARS-CoV-2	54
A machine learning model for early detection of diabetic foot using thermogram images	54
A review of computational approaches for evaluation of rehabilitation exercises	54
A multi-resolution model for histopathology image classification and localization with multiple instance learning	54
ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration	54
Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature	54
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans	54
Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review	54
FBSED based automatic diagnosis of COVID-19 using X-ray and CT images	53
COVID-19 detection in cough, breath and speech using deep transfer learning and bottleneck features	53
Performance optimisation of deep learning models using majority voting algorithm for brain tumour classification	53
Multi-model and multi-slice ensemble learning architecture based on 2D convolutional neural networks for Alzheimer's disease diagnosis	53
Anatomical classification of upper gastrointestinal organs under various image capture conditions using AlexNet	52
LeuFeatx: Deep learning–based feature extractor for the diagnosis of acute leukemia from microscopic images of peripheral blood smear	52
EEG fingerprinting: Subject-specific signature based on the aperiodic component of power spectrum	52
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0	52
A review of wearable and unobtrusive sensing technologies for chronic disease management	52
A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans	52
Automated prediction of sepsis using temporal convolutional network	52
COVID-19 detection in chest X-ray images using deep boosted hybrid learning	51
A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound	51
Automatic extraction and stenosis evaluation of coronary arteries in invasive coronary angiograms	51
Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine	51
Gene function and cell surface protein association analysis based on single-cell multiomics data	51
A novel stacking technique for prediction of diabetes	50
Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray	50
Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images	50
An improved transformer network for skin cancer classification	49
Disease type detection in lung and colon cancer images using the complement approach of inefficient sets	49
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method	49
Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan	49
A deep learning framework with an embedded-based feature selection approach for the early detection of the Alzheimer's disease	49
Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers	49
Multi-channel lung sound classification with convolutional recurrent neural networks	48
Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools	48
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method	48
Convolutional neural network ensemble for Parkinson's disease detection from voice recordings	48
Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph	48
Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy	48
Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism	47
AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets	47
Artificial intelligence for breast cancer analysis: Trends & directions	47
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	47
Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images	46
MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis	46
Automated detection of ADHD: Current trends and future perspective	46
SegSRGAN: Super-resolution and segmentation using generative adversarial networks — Application to neonatal brain MRI	46
ECG signal classification with binarized convolutional neural network	46
A meta-analysis of comorbidities in COVID-19: Which diseases increase the susceptibility of SARS-CoV-2 infection?	46
Bioinformatics studies on a function of the SARS-CoV-2 spike glycoprotein as the binding of host sialic acid glycans	46
Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI	46
Accuracy of deep learning for automated detection of pneumonia using chest X-Ray images: A systematic review and meta-analysis	46
Deep learning techniques for liver and liver tumor segmentation: A review	46
Design and properties of biomimetic irregular scaffolds for bone tissue engineering	46
Clinical data classification using an enhanced SMOTE and chaotic evolutionary feature selection	46
Simple methods for the lesion detection and severity grading of diabetic retinopathy by image processing and transfer learning	45
A unique view of SARS-CoV-2 through the lens of ORF8 protein	45
Computational repurposing of tamibarotene against triple mutant variant of SARS-CoV-2	45
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence	45
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks	45
Detection of patient-ventilator asynchrony from mechanical ventilation waveforms using a two-layer long short-term memory neural network	45
Pose-aware instance segmentation framework from cone beam CT images for tooth segmentation	45
A machine learning model for detecting invasive ductal carcinoma with Google Cloud AutoML Vision	45
Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals	45
Self-supervised representation learning from 12-lead ECG data	44
MDC-net: A new convolutional neural network for nucleus segmentation in histopathology images with distance maps and contour information	44
Generative adversarial networks in medical image segmentation: A review	44
Multiclass wound image classification using an ensemble deep CNN-based classifier	44
VDA-RWLRLS: An anti-SARS-CoV-2 drug prioritizing framework combining an unbalanced bi-random walk and Laplacian regularized least squares	44
Vision-based human fall detection systems using deep learning: A review	44
CNN architecture optimization using bio-inspired algorithms for breast cancer detection in infrared images	44
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain	44
Deep learning and lung ultrasound for Covid-19 pneumonia detection and severity classification	43
Artificial intelligence-driven assessment of radiological images for COVID-19	43
A robust drug recall supply chain management system using hyperledger blockchain ecosystem	43
In silico identification of Tretinoin as a SARS-CoV-2 envelope (E) protein ion channel inhibitor	43
Computational simulations of hybrid mediated nano- hemodynamics (Ag-Au/Blood) through an irregular symmetric stenosis	43
The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions	43
Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods	43
Automated phase classification in cyclic alternating patterns in sleep stages using Wigner–Ville Distribution based features	43