Computers in Biology and Medicine

Article	Citations
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images	632
Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation	373
A scoping review of transfer learning research on medical image analysis using ImageNet	284
A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity	261
In silico methods and tools for drug discovery	232
Telehealth utilization during the Covid-19 pandemic: A systematic review	230
Machine learning in medical applications: A review of state-of-the-art methods	223
Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities	219
Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases	206
Transparency of deep neural networks for medical image analysis: A review of interpretability methods	204
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison	197
Network pharmacology prediction and molecular docking-based strategy to explore the potential mechanism of Huanglian Jiedu Decoction against sepsis	194
COVID-19 cough classification using machine learning and global smartphone recordings	187
The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis	179
Generative Adversarial Networks in Medical Image augmentation: A review	170
Sharp U-Net: Depthwise convolutional network for biomedical image segmentation	163
Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study	159
A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics	158
Deep learning for diabetic retinopathy detection and classification based on fundus images: A review	158
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review	156
Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation	151
A comprehensive review of deep learning in colon cancer	148
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTSCAN Imagery	146
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning	136
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques	135

Application of decision tree-based ensemble learning in the classification of breast cancer	133
Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism	126
Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction	123
Precision health data: Requirements, challenges and existing techniques for data security and privacy	121
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization	120
Interpretable prediction of 3-year all-cause mortality in patients with heart failure caused by coronary heart disease based on machine learning and SHAP	118
DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation	116
A framework for breast cancer classification using Multi-DCNNs	114
Recognition of human emotions using EEG signals: A review	113
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review	113
Deep learning for diagnosis of COVID-19 using 3D CT scans	111
A novel melanoma prediction model for imbalanced data using optimized SqueezeNet by bald eagle search optimization	111
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review	109
Colorectal polyp region extraction using saliency detection network with neutrosophic enhancement	108
LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data	105
NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images	104
A textual-based featuring approach for depression detection using machine learning classifiers and social media texts	104
COVID-19 infection localization and severity grading from chest X-ray images	101
A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique	101
Lightweight deep learning models for detecting COVID-19 from chest X-ray images	100
A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning	100
Privacy-preserving artificial intelligence in healthcare: Techniques and applications	100
Liver Cancer Algorithm: A novel bio-inspired optimizer	99
Explainable, trustworthy, and ethical machine learning for healthcare: A survey	99
EEG Channel Correlation Based Model for Emotion Recognition	98
Breast cancer detection using deep learning: Datasets, methods, and challenges ahead	98
A robust real-time deep learning based automatic polyp detection system	97
Identification of novel compounds against three targets of SARS CoV-2 coronavirus by combined virtual screening and supervised machine learning	96
Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN	96
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy	96
A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding	95
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease	95
Machine learning model for predicting malaria using clinical information	95
Precision nutrition: A systematic literature review	94
Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools	93
In silico drug discovery of major metabolites from spices as SARS-CoV-2 main protease inhibitors	93
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients	93
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals	92
Feature selection methods on gene expression microarray data for cancer classification: A systematic review	92
An efficient image segmentation method for skin cancer imaging using improved golden jackal optimization algorithm	92
A review of deep learning-based detection methods for COVID-19	89
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation	89
Evaluation of acridinedione analogs as potential SARS-CoV-2 main protease inhibitors and their comparison with repurposed anti-viral drugs	89
CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR	88
Data augmentation for medical imaging: A systematic literature review	88
Hybrid dilation and attention residual U-Net for medical image segmentation	88
A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals	87
MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis	87
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets	86
A transformer-based deep neural network for arrhythmia detection using continuous ECG signals	86

Automatic seizure detection using orthogonal matching pursuit, discrete wavelet transform, and entropy based features of EEG signals	86
A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models	86
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals	85
Designing multi-epitope vaccine against Staphylococcus aureus by employing subtractive proteomics, reverse vaccinology and immuno-informatics approaches	85
COVID-19 image classification using deep learning: Advances, challenges and opportunities	85
How to ensure the confidentiality of electronic medical records on the cloud: A technical perspective	84
Integrating multi-omics data through deep learning for accurate cancer prognosis prediction	84
AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusion	84
Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound	84
Mechanisms underlying the therapeutic effects of Qingfeiyin in treating acute lung injury based on GEO datasets, network pharmacology and molecular docking	84
Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method	84
Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding	82
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works	82
A survey on applications of deep learning in microscopy image analysis	82
Deep learning model for automated kidney stone detection using coronal CT images	82
Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects	82
Breast cancer prediction using a hybrid method based on Butterfly Optimization Algorithm and Ant Lion Optimizer	82
Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients	81
An analytical study of modified multi-objective Harris Hawk Optimizer towards medical data feature selection	81
COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization	81
Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals	81
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach	81
Deep learning for colon cancer histopathological images analysis	81
Convolutional neural networks for breast cancer detection in mammography: A survey	81
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 (	80
HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks	79
Identification of potential plant bioactive as SARS-CoV-2 Spike protein and human ACE2 fusion inhibitors	79
Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections	79
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review	79
Discovering symptom patterns of COVID-19 patients using association rule mining	78
An improved transformer network for skin cancer classification	78
COVID-19 X-ray image segmentation by modified whale optimization algorithm with population reduction	78
Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals	77
A machine learning model for early detection of diabetic foot using thermogram images	77
MedViT: A robust vision transformer for generalized medical image classification	77
Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation	77
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks	77
Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR	76
Binary Horse herd optimization algorithm with crossover operators for feature selection	76
A deep learning based ensemble learning method for epileptic seizure prediction	75
Gene function and cell surface protein association analysis based on single-cell multiomics data	75
Deep learning techniques for liver and liver tumor segmentation: A review	74
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method	74
Multi-omics-based identification of SARS-CoV-2 infection biology and candidate drugs against COVID-19	74
PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images	73
Diagnosis of skin diseases in the era of deep learning and mobile technology	73
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images	73
3D PBV-Net: An automated prostate MRI data segmentation method	72
Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation	72
Multi-model and multi-slice ensemble learning architecture based on 2D convolutional neural networks for Alzheimer's disease diagnosis	72
Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI	72
Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review	71
Evaluation of machine learning algorithms for health and wellness applications: A tutorial	71
Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review	70
Adaptive soft erasure with edge self-attention for weakly supervised semantic segmentation: Thyroid ultrasound image case study	70
Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs	69
Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data	69
Self-supervised representation learning from 12-lead ECG data	69
A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans	69
Design of intelligent diabetes mellitus detection system using hybrid feature selection based XGBoost classifier	69
A multi-resolution model for histopathology image classification and localization with multiple instance learning	68
Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine	67
An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound	67
Deep learning based classification of facial dermatological disorders	67
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020	67
ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration	67
D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution	67
LeuFeatx: Deep learning–based feature extractor for the diagnosis of acute leukemia from microscopic images of peripheral blood smear	67
A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation	67
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	67
Generative adversarial networks in medical image segmentation: A review	67
Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm	66
iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model	65
Graph-based relevancy-redundancy gene selection method for cancer diagnosis	65
Parrot optimizer: Algorithm and applications to medical problems	65
PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition	65
Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images	65
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans	65
A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound	64
Potential of turmeric-derived compounds against RNA‐dependent RNA polymerase of SARS‐CoV‐2: An in-silico approach	64

Automated detection of ADHD: Current trends and future perspective	64
Vision-based human fall detection systems using deep learning: A review	63
Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis	63
A novel stacking technique for prediction of diabetes	63
A deep learning framework with an embedded-based feature selection approach for the early detection of the Alzheimer's disease	63
Forecasting COVID-19 new cases using deep learning methods	62
Performance optimisation of deep learning models using majority voting algorithm for brain tumour classification	62
Automatic extraction and stenosis evaluation of coronary arteries in invasive coronary angiograms	62
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method	62
AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets	62
AND-rPPG: A novel denoising-rPPG network for improving remote heart rate estimation	62
High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images	62
COVID-19 detection in chest X-ray images using deep boosted hybrid learning	61
CNN architecture optimization using bio-inspired algorithms for breast cancer detection in infrared images	61
Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images	61
Artificial intelligence for breast cancer analysis: Trends & directions	61
Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism	61
Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature	60
scAAGA: Single cell data analysis framework using asymmetric autoencoder with gene attention	60
Extinction and stationary distribution of a stochastic COVID-19 epidemic model with time-delay	60
A review of wearable and unobtrusive sensing technologies for chronic disease management	59
FBSED based automatic diagnosis of COVID-19 using X-ray and CT images	59
Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images	59
Design and properties of biomimetic irregular scaffolds for bone tissue engineering	59
Investigation of interactions between COVID-19 and diabetes with hereditary traits using real data: A case study in Turkey	58
Convolutional neural network ensemble for Parkinson's disease detection from voice recordings	58
De novo design of novel protease inhibitor candidates in the treatment of SARS-CoV-2 using deep learning, docking, and molecular dynamic simulations	58
Disease type detection in lung and colon cancer images using the complement approach of inefficient sets	58
Deep sequence modelling for Alzheimer's disease detection using MRI	58
Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI	58
A molecular docking study of EGCG and theaflavin digallate with the druggable targets of SARS-CoV-2	57
Mapping research strands of ethics of artificial intelligence in healthcare: A bibliometric and content analysis	57
UMAP-assisted K-means clustering of large-scale SARS-CoV-2 mutation datasets	57
A computational approach for rational discovery of inhibitors for non-structural protein 1 of SARS-CoV-2	57
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	56
Automated prediction of sepsis using temporal convolutional network	56
Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray	56
Clinical data classification using an enhanced SMOTE and chaotic evolutionary feature selection	56
A meta-analysis of comorbidities in COVID-19: Which diseases increase the susceptibility of SARS-CoV-2 infection?	56
Simple methods for the lesion detection and severity grading of diabetic retinopathy by image processing and transfer learning	56
COVID-19 detection in cough, breath and speech using deep transfer learning and bottleneck features	55
Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy	55
Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine	55
CryoNuSeg: A dataset for nuclei instance segmentation of cryosectioned H&E-stained histological images	55
A modified reptile search algorithm for global optimization and image segmentation: Case study brain MRI images	55
HCTNet: A hybrid CNN-transformer network for breast ultrasound image segmentation	55
Artificial intelligence-driven assessment of radiological images for COVID-19	54
Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers	54
DenseRes-Unet: Segmentation of overlapped/clustered nuclei from multi organ histopathology images	54
Interpretable heartbeat classification using local model-agnostic explanations on ECGs	54
Generative machine learning for de novo drug discovery: A systematic review	54
Ensemble framework for cardiovascular disease prediction	53
Computational simulations of hybrid mediated nano- hemodynamics (Ag-Au/Blood) through an irregular symmetric stenosis	53
Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph	53
Evaluation of denoising techniques to remove speckle and Gaussian noise from dermoscopy images	53
GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer	53
Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists	53
DNN-DTIs: Improved drug-target interactions prediction using XGBoost feature selection and deep neural network	53
Colon cancer diagnosis and staging classification based on machine learning and bioinformatics analysis	52
Few-shot medical image segmentation using a global correlation network with discriminative embedding	52
A survey, review, and future trends of skin lesion segmentation and classification	52
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain	52
Accuracy of dental implant surgery with robotic position feedback and registration algorithm: An in-vitro study	51
A lightweight CNN-based network on COVID-19 detection using X-ray and CT images	51
Multi-scale convolutional neural network for automated AMD classification using retinal OCT images	51
Exploiting pretrained CNN models for the development of an EEG-based robust BCI framework	51
Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan	51
HSNet: A hybrid semantic network for polyp segmentation	50
An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network	50
AFP-CMBPred: Computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary information	50
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence	50
Deep learning and lung ultrasound for Covid-19 pneumonia detection and severity classification	49
A deep CNN model for anomaly detection and localization in wireless capsule endoscopy images	49
Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals	49
The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions	49
VDA-RWLRLS: An anti-SARS-CoV-2 drug prioritizing framework combining an unbalanced bi-random walk and Laplacian regularized least squares	49
AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals	49
Early diagnosis of Alzheimer's disease based on deep learning: A systematic review	48
MDC-net: A new convolutional neural network for nucleus segmentation in histopathology images with distance maps and contour information	48
A unique view of SARS-CoV-2 through the lens of ORF8 protein	48
DenseCapsNet: Detection of COVID-19 from X-ray images using a capsule neural network	48
Uncertainty-aware convolutional neural network for COVID-19 X-ray images classification	48
Multiclass wound image classification using an ensemble deep CNN-based classifier	48
Deep learning for predicting respiratory rate from biosignals	48
Performance optimization of salp swarm algorithm for multi-threshold image segmentation: Comprehensive study of breast cancer microscopy	48
SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals	48
A robust drug recall supply chain management system using hyperledger blockchain ecosystem	48
An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection	47
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review	47
Multimodal medical image fusion via laplacian pyramid and convolutional neural network reconstruction with local gradient energy strategy	47
Computational repurposing of tamibarotene against triple mutant variant of SARS-CoV-2	47
DRDA-Net: Dense residual dual-shuffle attention network for breast cancer classification using histopathological images	47
PFmulDL: a novel strategy enabling multi-class and multi-label protein function annotation by integrating diverse deep learning methods	46
Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)	46
Transfer learning enhanced generative adversarial networks for multi-channel MRI reconstruction	46