Computers in Biology and Medicine

Papers
(The TQCC of Computers in Biology and Medicine is 11. 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 2020-02-01 to 2024-02-01.)
ArticleCitations
Automated detection of COVID-19 cases using deep neural networks with X-ray images1723
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks599
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images478
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches393
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 optimization338
Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation321
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review213
A scoping review of transfer learning research on medical image analysis using ImageNet209
An agent-based model to evaluate the COVID-19 transmission risks in facilities206
Telehealth utilization during the Covid-19 pandemic: A systematic review164
Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images164
Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities162
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review156
Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases153
COVID-19 cough classification using machine learning and global smartphone recordings153
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) coronavi150
A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity146
In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19137
Machine learning in medical applications: A review of state-of-the-art methods137
In silico methods and tools for drug discovery135
The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis132
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison126
Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm125
Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier123
Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation122
Network pharmacology prediction and molecular docking-based strategy to explore the potential mechanism of Huanglian Jiedu Decoction against sepsis115
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 probabili115
A comprehensive review of deep learning in colon cancer113
Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network113
Transparency of deep neural networks for medical image analysis: A review of interpretability methods113
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review112
Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application110
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTSCAN Imagery108
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning106
Deep learning for diabetic retinopathy detection and classification based on fundus images: A review106
Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study106
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial102
Sharp U-Net: Depthwise convolutional network for biomedical image segmentation100
Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques99
Generative Adversarial Networks in Medical Image augmentation: A review98
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques96
The identification of children with autism spectrum disorder by SVM approach on EEG and eye-tracking data96
Application of decision tree-based ensemble learning in the classification of breast cancer96
DSNet: Automatic dermoscopic skin lesion segmentation96
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization95
Deep learning for diagnosis of COVID-19 using 3D CT scans93
Lightweight deep learning models for detecting COVID-19 from chest X-ray images92
Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction92
Diagnostic classification of cancers using extreme gradient boosting algorithm and multi-omics data91
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review90
A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics90
Scalp EEG classification using deep Bi-LSTM network for seizure detection89
A framework for breast cancer classification using Multi-DCNNs89
In silico drug discovery of major metabolites from spices as SARS-CoV-2 main protease inhibitors88
Colorectal polyp region extraction using saliency detection network with neutrosophic enhancement87
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients87
Evaluation of acridinedione analogs as potential SARS-CoV-2 main protease inhibitors and their comparison with repurposed anti-viral drugs87
Multi-modal medical image fusion by Laplacian pyramid and adaptive sparse representation86
A scoping review of the use of Twitter for public health research85
A novel melanoma prediction model for imbalanced data using optimized SqueezeNet by bald eagle search optimization83
Identification of novel compounds against three targets of SARS CoV-2 coronavirus by combined virtual screening and supervised machine learning82
Deep learning for mass detection in Full Field Digital Mammograms79
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease76
How to ensure the confidentiality of electronic medical records on the cloud: A technical perspective76
A robust real-time deep learning based automatic polyp detection system76
Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals75
EEG Channel Correlation Based Model for Emotion Recognition75
COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review74
A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding74
LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data74
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
Recognition of human emotions using EEG signals: A review74
COVID-19 infection localization and severity grading from chest X-ray images73
CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR73
A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning72
Electrocardiogram heartbeat classification based on a deep convolutional neural network and focal loss72
Identification of potential plant bioactive as SARS-CoV-2 Spike protein and human ACE2 fusion inhibitors72
NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images72
Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism71
Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN71
Automatic seizure detection using orthogonal matching pursuit, discrete wavelet transform, and entropy based features of EEG signals70
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review70
Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding70
Precision health data: Requirements, challenges and existing techniques for data security and privacy70
A textual-based featuring approach for depression detection using machine learning classifiers and social media texts70
A review of deep learning-based detection methods for COVID-1969
A multistage deep neural network model for blood pressure estimation using photoplethysmogram signals69
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation69
Multi-omics-based identification of SARS-CoV-2 infection biology and candidate drugs against COVID-1969
Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals69
Hybrid dilation and attention residual U-Net for medical image segmentation69
Designing multi-epitope vaccine against Staphylococcus aureus by employing subtractive proteomics, reverse vaccinology and immuno-informatics approaches69
Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method69
An analytical study of modified multi-objective Harris Hawk Optimizer towards medical data feature selection69
Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound68
Addressing class imbalance in deep learning for small lesion detection on medical images68
Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients68
Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI67
Breast cancer prediction using a hybrid method based on Butterfly Optimization Algorithm and Ant Lion Optimizer66
Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections66
Convolutional neural networks for breast cancer detection in mammography: A survey66
Interpretable prediction of 3-year all-cause mortality in patients with heart failure caused by coronary heart disease based on machine learning and SHAP66
COVID-19 X-ray image segmentation by modified whale optimization algorithm with population reduction65
COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization65
An efficient image segmentation method for skin cancer imaging using improved golden jackal optimization algorithm64
Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR64
Binary Horse herd optimization algorithm with crossover operators for feature selection63
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals63
Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques63
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy63
Discovering symptom patterns of COVID-19 patients using association rule mining62
HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks61
A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models61
A survey on applications of deep learning in microscopy image analysis61
Adaptive soft erasure with edge self-attention for weakly supervised semantic segmentation: Thyroid ultrasound image case study60
Automatic assessment of Alzheimer’s disease diagnosis based on deep learning techniques60
Precision nutrition: A systematic literature review60
Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation60
Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation59
Immunoinformatics-guided design of an epitope-based vaccine against severe acute respiratory syndrome coronavirus 2 spike glycoprotein59
3D PBV-Net: An automated prostate MRI data segmentation method59
Feature selection methods on gene expression microarray data for cancer classification: A systematic review58
Deep learning based classification of facial dermatological disorders58
Graph-based relevancy-redundancy gene selection method for cancer diagnosis58
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets57
Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals57
Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm57
A deep learning based ensemble learning method for epileptic seizure prediction57
D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution57
Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine57
A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique57
Diagnosis of skin diseases in the era of deep learning and mobile technology56
PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition56
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 simulation56
A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals55
Machine learning model for predicting malaria using clinical information55
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works55
COVID-19 image classification using deep learning: Advances, challenges and opportunities55
AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusion55
Extinction and stationary distribution of a stochastic COVID-19 epidemic model with time-delay55
Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network54
Forecasting COVID-19 new cases using deep learning methods54
A computational approach for rational discovery of inhibitors for non-structural protein 1 of SARS-CoV-254
Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs54
A molecular docking study of EGCG and theaflavin digallate with the druggable targets of SARS-CoV-254
FBSED based automatic diagnosis of COVID-19 using X-ray and CT images53
Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images53
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals53
A transformer-based deep neural network for arrhythmia detection using continuous ECG signals53
PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images53
Evaluation of machine learning algorithms for health and wellness applications: A tutorial53
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review52
Investigation of interactions between COVID-19 and diabetes with hereditary traits using real data: A case study in Turkey52
Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis52
Design of intelligent diabetes mellitus detection system using hybrid feature selection based XGBoost classifier52
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images52
An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound51
A machine learning model for early detection of diabetic foot using thermogram images51
A multi-resolution model for histopathology image classification and localization with multiple instance learning51
Automatic skin lesion segmentation based on FC-DPN51
Potential of turmeric-derived compounds against RNA‐dependent RNA polymerase of SARS‐CoV‐2: An in-silico approach51
Automated prediction of sepsis using temporal convolutional network51
Anatomical classification of upper gastrointestinal organs under various image capture conditions using AlexNet50
Kidney segmentation from computed tomography images using deep neural network50
Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks50
A review of wearable and unobtrusive sensing technologies for chronic disease management50
De novo design of novel protease inhibitor candidates in the treatment of SARS-CoV-2 using deep learning, docking, and molecular dynamic simulations50
Deep learning for colon cancer histopathological images analysis50
UMAP-assisted K-means clustering of large-scale SARS-CoV-2 mutation datasets50
A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans50
Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data50
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.049
Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine49
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans49
ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration49
COVID-19 detection in cough, breath and speech using deep transfer learning and bottleneck features49
Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph48
Multi-model and multi-slice ensemble learning architecture based on 2D convolutional neural networks for Alzheimer's disease diagnosis48
A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound48
A novel stacking technique for prediction of diabetes48
Deep learning model for automated kidney stone detection using coronal CT images48
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–202048
Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects48
A review of computational approaches for evaluation of rehabilitation exercises47
COVID-19 detection in chest X-ray images using deep boosted hybrid learning47
Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray47
Performance optimisation of deep learning models using majority voting algorithm for brain tumour classification46
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach46
Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy46
iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model46
AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets46
LeuFeatx: Deep learning–based feature extractor for the diagnosis of acute leukemia from microscopic images of peripheral blood smear46
SegSRGAN: Super-resolution and segmentation using generative adversarial networks — Application to neonatal brain MRI46
Automatic extraction and stenosis evaluation of coronary arteries in invasive coronary angiograms45
Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers45
Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature45
Disease type detection in lung and colon cancer images using the complement approach of inefficient sets45
Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism45
Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan44
Design and properties of biomimetic irregular scaffolds for bone tissue engineering44
Clinical data classification using an enhanced SMOTE and chaotic evolutionary feature selection44
Bioinformatics studies on a function of the SARS-CoV-2 spike glycoprotein as the binding of host sialic acid glycans44
Breast cancer detection using deep learning: Datasets, methods, and challenges ahead44
Pose-aware instance segmentation framework from cone beam CT images for tooth segmentation44
Multi-channel lung sound classification with convolutional recurrent neural networks43
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence43
A meta-analysis of comorbidities in COVID-19: Which diseases increase the susceptibility of SARS-CoV-2 infection?43
Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence43
Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review43
In silico identification of Tretinoin as a SARS-CoV-2 envelope (E) protein ion channel inhibitor43
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 network42
Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools42
Computational repurposing of tamibarotene against triple mutant variant of SARS-CoV-242
A deep learning framework with an embedded-based feature selection approach for the early detection of the Alzheimer's disease42
MDC-net: A new convolutional neural network for nucleus segmentation in histopathology images with distance maps and contour information42
Transfer learning enhanced generative adversarial networks for multi-channel MRI reconstruction42
Accuracy of deep learning for automated detection of pneumonia using chest X-Ray images: A systematic review and meta-analysis42
An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms41
Deep learning and lung ultrasound for Covid-19 pneumonia detection and severity classification41
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain41
VDA-RWLRLS: An anti-SARS-CoV-2 drug prioritizing framework combining an unbalanced bi-random walk and Laplacian regularized least squares41
ECG signal classification with binarized convolutional neural network41
Simple methods for the lesion detection and severity grading of diabetic retinopathy by image processing and transfer learning41
Artificial intelligence for breast cancer analysis: Trends & directions41
Identification of potential inhibitors of three key enzymes of SARS-CoV2 using computational approach41
Performance optimization of salp swarm algorithm for multi-threshold image segmentation: Comprehensive study of breast cancer microscopy41
Multiclass wound image classification using an ensemble deep CNN-based classifier41
Automated phase classification in cyclic alternating patterns in sleep stages using Wigner–Ville Distribution based features41
Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals40
A machine learning model for detecting invasive ductal carcinoma with Google Cloud AutoML Vision40
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method40
Artificial intelligence-driven assessment of radiological images for COVID-1940
Convolutional neural network ensemble for Parkinson's disease detection from voice recordings40
Two-stage artificial intelligence model for jointly measurement of atherosclerotic wall thickness and plaque burden in carotid ultrasound: A screening tool for cardiovascular/stroke risk assessment40
MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis40
CNN architecture optimization using bio-inspired algorithms for breast cancer detection in infrared images40
Detection of patient-ventilator asynchrony from mechanical ventilation waveforms using a two-layer long short-term memory neural network40
Deep learning techniques for liver and liver tumor segmentation: A review39
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method39
Improving breast mass classification by shared data with domain transformation using a generative adversarial network39
Automated detection of ADHD: Current trends and future perspective39
The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions39
Interpretable heartbeat classification using local model-agnostic explanations on ECGs39
DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation39
An improved transformer network for skin cancer classification39
An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network39
A robust drug recall supply chain management system using hyperledger blockchain ecosystem39
SIRVD-DL: A COVID-19 deep learning prediction model based on time-dependent SIRVD38
Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion38
MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis38
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