Computers in Biology and Medicine

Papers
(The TQCC of Computers in Biology and Medicine is 12. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-09-01 to 2024-09-01.)
ArticleCitations
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images614
Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation367
A scoping review of transfer learning research on medical image analysis using ImageNet275
A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity240
In silico methods and tools for drug discovery223
Machine learning in medical applications: A review of state-of-the-art methods220
Telehealth utilization during the Covid-19 pandemic: A systematic review217
Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities212
Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases198
Transparency of deep neural networks for medical image analysis: A review of interpretability methods192
Network pharmacology prediction and molecular docking-based strategy to explore the potential mechanism of Huanglian Jiedu Decoction against sepsis188
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison184
COVID-19 cough classification using machine learning and global smartphone recordings184
The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis174
Generative Adversarial Networks in Medical Image augmentation: A review161
Sharp U-Net: Depthwise convolutional network for biomedical image segmentation159
In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19157
Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study155
Deep learning for diabetic retinopathy detection and classification based on fundus images: A review153
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review153
Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation150
A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics148
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTSCAN Imagery143
A comprehensive review of deep learning in colon cancer143
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning135
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques131
Application of decision tree-based ensemble learning in the classification of breast cancer129
Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism122
Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction121
Scalp EEG classification using deep Bi-LSTM network for seizure detection120
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization120
Precision health data: Requirements, challenges and existing techniques for data security and privacy118
Interpretable prediction of 3-year all-cause mortality in patients with heart failure caused by coronary heart disease based on machine learning and SHAP114
A framework for breast cancer classification using Multi-DCNNs112
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial112
Deep learning for diagnosis of COVID-19 using 3D CT scans111
Recognition of human emotions using EEG signals: A review110
A novel melanoma prediction model for imbalanced data using optimized SqueezeNet by bald eagle search optimization110
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review109
Colorectal polyp region extraction using saliency detection network with neutrosophic enhancement108
DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation107
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review106
A textual-based featuring approach for depression detection using machine learning classifiers and social media texts103
Lightweight deep learning models for detecting COVID-19 from chest X-ray images100
COVID-19 infection localization and severity grading from chest X-ray images99
LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data99
NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images99
A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique97
EEG Channel Correlation Based Model for Emotion Recognition96
Identification of novel compounds against three targets of SARS CoV-2 coronavirus by combined virtual screening and supervised machine learning96
A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning95
Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN94
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease94
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients93
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy93
A robust real-time deep learning based automatic polyp detection system93
In silico drug discovery of major metabolites from spices as SARS-CoV-2 main protease inhibitors93
An efficient image segmentation method for skin cancer imaging using improved golden jackal optimization algorithm92
A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding92
Machine learning model for predicting malaria using clinical information91
Feature selection methods on gene expression microarray data for cancer classification: A systematic review90
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals90
Explainable, trustworthy, and ethical machine learning for healthcare: A survey89
Liver Cancer Algorithm: A novel bio-inspired optimizer89
Precision nutrition: A systematic literature review89
Breast cancer detection using deep learning: Datasets, methods, and challenges ahead89
CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR89
Evaluation of acridinedione analogs as potential SARS-CoV-2 main protease inhibitors and their comparison with repurposed anti-viral drugs89
A review of deep learning-based detection methods for COVID-1986
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals85
Hybrid dilation and attention residual U-Net for medical image segmentation85
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets85
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation85
Automatic seizure detection using orthogonal matching pursuit, discrete wavelet transform, and entropy based features of EEG signals84
How to ensure the confidentiality of electronic medical records on the cloud: A technical perspective84
Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method84
Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound83
A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models83
Privacy-preserving artificial intelligence in healthcare: Techniques and applications83
A transformer-based deep neural network for arrhythmia detection using continuous ECG signals83
MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis83
Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools83
A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals82
COVID-19 image classification using deep learning: Advances, challenges and opportunities82
Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding82
Designing multi-epitope vaccine against Staphylococcus aureus by employing subtractive proteomics, reverse vaccinology and immuno-informatics approaches82
Breast cancer prediction using a hybrid method based on Butterfly Optimization Algorithm and Ant Lion Optimizer82
Integrating multi-omics data through deep learning for accurate cancer prognosis prediction82
COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization81
An analytical study of modified multi-objective Harris Hawk Optimizer towards medical data feature selection81
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
Deep learning model for automated kidney stone detection using coronal CT images80
Deep learning for colon cancer histopathological images analysis80
AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusion80
A survey on applications of deep learning in microscopy image analysis80
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works80
Convolutional neural networks for breast cancer detection in mammography: A survey79
COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review79
Mechanisms underlying the therapeutic effects of Qingfeiyin in treating acute lung injury based on GEO datasets, network pharmacology and molecular docking79
Identification of potential plant bioactive as SARS-CoV-2 Spike protein and human ACE2 fusion inhibitors79
Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections78
Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals78
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review78
COVID-19 X-ray image segmentation by modified whale optimization algorithm with population reduction77
Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation77
Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients77
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach77
HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks76
A machine learning model for early detection of diabetic foot using thermogram images76
Binary Horse herd optimization algorithm with crossover operators for feature selection76
Discovering symptom patterns of COVID-19 patients using association rule mining75
Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals75
An improved transformer network for skin cancer classification74
Multi-omics-based identification of SARS-CoV-2 infection biology and candidate drugs against COVID-1974
Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects74
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks73
Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR73
A deep learning based ensemble learning method for epileptic seizure prediction73
Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation73
Gene function and cell surface protein association analysis based on single-cell multiomics data72
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images72
Deep learning techniques for liver and liver tumor segmentation: A review72
Diagnosis of skin diseases in the era of deep learning and mobile technology72
Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI72
Data augmentation for medical imaging: A systematic literature review72
3D PBV-Net: An automated prostate MRI data segmentation method72
MedViT: A robust vision transformer for generalized medical image classification71
Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review70
Adaptive soft erasure with edge self-attention for weakly supervised semantic segmentation: Thyroid ultrasound image case study70
Evaluation of machine learning algorithms for health and wellness applications: A tutorial69
Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs69
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method68
Multi-model and multi-slice ensemble learning architecture based on 2D convolutional neural networks for Alzheimer's disease diagnosis68
PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images68
Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data67
A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans67
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 simulation67
Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm66
A multi-resolution model for histopathology image classification and localization with multiple instance learning66
D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution66
Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine65
An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound65
PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition65
Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images65
LeuFeatx: Deep learning–based feature extractor for the diagnosis of acute leukemia from microscopic images of peripheral blood smear65
Deep learning based classification of facial dermatological disorders65
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–202065
ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration65
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans65
Potential of turmeric-derived compounds against RNA‐dependent RNA polymerase of SARS‐CoV‐2: An in-silico approach64
Graph-based relevancy-redundancy gene selection method for cancer diagnosis64
Immunoinformatics-guided design of an epitope-based vaccine against severe acute respiratory syndrome coronavirus 2 spike glycoprotein64
Design of intelligent diabetes mellitus detection system using hybrid feature selection based XGBoost classifier64
Self-supervised representation learning from 12-lead ECG data64
A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound64
iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model63
Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network63
A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation63
Forecasting COVID-19 new cases using deep learning methods62
Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis62
A deep learning framework with an embedded-based feature selection approach for the early detection of the Alzheimer's disease62
Generative adversarial networks in medical image segmentation: A review62
Performance optimisation of deep learning models using majority voting algorithm for brain tumour classification62
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method61
COVID-19 detection in chest X-ray images using deep boosted hybrid learning61
Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review61
Automated detection of ADHD: Current trends and future perspective61
A novel stacking technique for prediction of diabetes61
Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images61
AND-rPPG: A novel denoising-rPPG network for improving remote heart rate estimation61
AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets60
Automatic extraction and stenosis evaluation of coronary arteries in invasive coronary angiograms60
Vision-based human fall detection systems using deep learning: A review60
Extinction and stationary distribution of a stochastic COVID-19 epidemic model with time-delay60
FBSED based automatic diagnosis of COVID-19 using X-ray and CT images59
Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism59
Artificial intelligence for breast cancer analysis: Trends & directions59
Investigation of interactions between COVID-19 and diabetes with hereditary traits using real data: A case study in Turkey58
A review of wearable and unobtrusive sensing technologies for chronic disease management58
Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature58
Anatomical classification of upper gastrointestinal organs under various image capture conditions using AlexNet58
Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images58
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.057
Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI57
UMAP-assisted K-means clustering of large-scale SARS-CoV-2 mutation datasets57
scAAGA: Single cell data analysis framework using asymmetric autoencoder with gene attention57
De novo design of novel protease inhibitor candidates in the treatment of SARS-CoV-2 using deep learning, docking, and molecular dynamic simulations57
A computational approach for rational discovery of inhibitors for non-structural protein 1 of SARS-CoV-257
Convolutional neural network ensemble for Parkinson's disease detection from voice recordings56
CNN architecture optimization using bio-inspired algorithms for breast cancer detection in infrared images56
A molecular docking study of EGCG and theaflavin digallate with the druggable targets of SARS-CoV-256
Automated prediction of sepsis using temporal convolutional network56
Design and properties of biomimetic irregular scaffolds for bone tissue engineering56
Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray55
Simple methods for the lesion detection and severity grading of diabetic retinopathy by image processing and transfer learning55
Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine55
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 network55
Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy55
Mapping research strands of ethics of artificial intelligence in healthcare: A bibliometric and content analysis55
A meta-analysis of comorbidities in COVID-19: Which diseases increase the susceptibility of SARS-CoV-2 infection?55
A modified reptile search algorithm for global optimization and image segmentation: Case study brain MRI images55
Disease type detection in lung and colon cancer images using the complement approach of inefficient sets55
COVID-19 detection in cough, breath and speech using deep transfer learning and bottleneck features54
Clinical data classification using an enhanced SMOTE and chaotic evolutionary feature selection54
Deep sequence modelling for Alzheimer's disease detection using MRI54
High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images54
Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers54
HCTNet: A hybrid CNN-transformer network for breast ultrasound image segmentation53
GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer53
Artificial intelligence-driven assessment of radiological images for COVID-1953
Generative machine learning for de novo drug discovery: A systematic review53
Computational simulations of hybrid mediated nano- hemodynamics (Ag-Au/Blood) through an irregular symmetric stenosis53
DenseRes-Unet: Segmentation of overlapped/clustered nuclei from multi organ histopathology images52
DNN-DTIs: Improved drug-target interactions prediction using XGBoost feature selection and deep neural network52
Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph52
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain52
Ensemble framework for cardiovascular disease prediction51
Multi-scale convolutional neural network for automated AMD classification using retinal OCT images51
Parrot optimizer: Algorithm and applications to medical problems51
A lightweight CNN-based network on COVID-19 detection using X-ray and CT images51
Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan51
Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists51
Interpretable heartbeat classification using local model-agnostic explanations on ECGs51
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence50
A survey, review, and future trends of skin lesion segmentation and classification50
Few-shot medical image segmentation using a global correlation network with discriminative embedding50
Deep learning and lung ultrasound for Covid-19 pneumonia detection and severity classification49
HSNet: A hybrid semantic network for polyp segmentation49
Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals49
The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions49
Accuracy of dental implant surgery with robotic position feedback and registration algorithm: An in-vitro study49
AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals48
Colon cancer diagnosis and staging classification based on machine learning and bioinformatics analysis48
A unique view of SARS-CoV-2 through the lens of ORF8 protein48
A deep CNN model for anomaly detection and localization in wireless capsule endoscopy images48
AFP-CMBPred: Computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary information48
An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network48
CryoNuSeg: A dataset for nuclei instance segmentation of cryosectioned H&E-stained histological images48
Exploiting pretrained CNN models for the development of an EEG-based robust BCI framework48
Multiclass wound image classification using an ensemble deep CNN-based classifier48
Computational repurposing of tamibarotene against triple mutant variant of SARS-CoV-247
Evaluation of denoising techniques to remove speckle and Gaussian noise from dermoscopy images47
VDA-RWLRLS: An anti-SARS-CoV-2 drug prioritizing framework combining an unbalanced bi-random walk and Laplacian regularized least squares47
Performance optimization of salp swarm algorithm for multi-threshold image segmentation: Comprehensive study of breast cancer microscopy47
An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection47
Uncertainty-aware convolutional neural network for COVID-19 X-ray images classification47
A robust drug recall supply chain management system using hyperledger blockchain ecosystem47
Multimodal medical image fusion via laplacian pyramid and convolutional neural network reconstruction with local gradient energy strategy46
Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion46
MDC-net: A new convolutional neural network for nucleus segmentation in histopathology images with distance maps and contour information46
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