Computer Methods and Programs in Biomedicine

Papers
(The median citation count of Computer Methods and Programs in Biomedicine is 5. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images916
Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays458
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning310
Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)273
Explanation of machine learning models using shapley additive explanation and application for real data in hospital187
Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms167
Application of artificial intelligence in wearable devices: Opportunities and challenges142
Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings120
A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics118
The openCARP simulation environment for cardiac electrophysiology117
Classification of heart sound signals using a novel deep WaveNet model117
Medical deep learning—A systematic meta-review114
YOLO Based Breast Masses Detection and Classification in Full-Field Digital Mammograms110
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks:A review109
Determination of an optimal control strategy for vaccine administration in COVID-19 pandemic treatment107
Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning101
The importance of being external. methodological insights for the external validation of machine learning models in medicine100
Lung Nodule Detection based on Faster R-CNN Framework98
Arrhythmia Classification with ECG signals based on the Optimization-Enabled Deep Convolutional Neural Network97
SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography89
Diagnose ADHD disorder in children using convolutional neural network based on continuous mental task EEG87
Coronary angiography image segmentation based on PSPNet86
The value of WeChat application in chronic diseases management in China85
Automated ECG classification using a non-local convolutional block attention module85
Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records84
Automated emotion recognition: Current trends and future perspectives82
Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification82
Introduction of digital therapeutics81
Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective81
Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals80
Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MC80
Automatic Sleep Stage Classification Using Temporal Convolutional Neural Network and New Data Augmentation Technique from Raw Single-Channel EEG79
VSSC Net: Vessel Specific Skip chain Convolutional Network for blood vessel segmentation78
A deep learning model (ALNet) for the diagnosis of acute leukaemia lineage using peripheral blood cell images78
Cervical cell classification with graph convolutional network76
The Role of the Internet of Things in Healthcare: Future Trends and Challenges76
Classification of PPMI MRI scans with voxel-based morphometry and machine learning to assist in the diagnosis of Parkinson’s disease76
The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things74
Alzheimer's disease detection using depthwise separable convolutional neural networks73
Medical image recognition and segmentation of pathological slices of gastric cancer based on Deeplab v3+ neural network72
The effects of skin lesion segmentation on the performance of dermatoscopic image classification71
Facial expression recognition based on deep learning71
Medical image segmentation and reconstruction of prostate tumor based on 3D AlexNet71
Ensemble of heterogeneous classifiers for diagnosis and prediction of coronary artery disease with reduced feature subset69
An ensemble of deep neural networks for kidney ultrasound image classification69
Effects of dataset size and interactions on the prediction performance of logistic regression and deep learning models69
Multi-input convolutional neural network for breast cancer detection using thermal images and clinical data67
CMC: A consensus multi-view clustering model for predicting Alzheimer’s disease progression67
Super-resolution and denoising of 4D-Flow MRI using physics-Informed deep neural nets66
A fuzzy distance-based ensemble of deep models for cervical cancer detection63
Neuroimaging and deep learning for brain stroke detection - A review of recent advancements and future prospects63
A new deep learning method for blood vessel segmentation in retinal images based on convolutional kernels and modified U-Net model62
Breast ultrasound tumor image classification using image decomposition and fusion based on adaptive multi-model spatial feature fusion60
Integrating segmentation information into CNN for breast cancer diagnosis of mammographic masses58
An efficient retinal blood vessel segmentation in eye fundus images by using optimized top-hat and homomorphic filtering58
Automatic diagnosis of multiple cardiac diseases from PCG signals using convolutional neural network58
OctNET: A Lightweight CNN for Retinal Disease Classification from Optical Coherence Tomography Images58
Fast level set method for glioma brain tumor segmentation based on Superpixel fuzzy clustering and lattice Boltzmann method58
Computational fluid dynamics modelling of human upper airway: A review58
Arrhythmia classification from single-lead ECG signals using the inter-patient paradigm57
A novel U-Net approach to segment the cardiac chamber in magnetic resonance images with ghost artifacts55
YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammograms55
ChatGPT in healthcare: A taxonomy and systematic review55
Diabetes detection using deep learning techniques with oversampling and feature augmentation55
EEG-Based Seizure detection using linear graph convolution network with focal loss54
Automatic stenosis recognition from coronary angiography using convolutional neural networks54
Automatic detection and segmentation of lumbar vertebrae from X-ray images for compression fracture evaluation54
Inter-patient arrhythmia classification with improved deep residual convolutional neural network53
Application of photoplethysmography signals for healthcare systems: An in-depth review52
Interpretation of radiomics features–A pictorial review51
Semi-supervised learning for medical image classification using imbalanced training data51
Classifying the type of delivery from cardiotocographic signals: A machine learning approach51
Complexity of EEG Dynamics for Early Diagnosis of Alzheimer's Disease Using Permutation Entropy Neuromarker51
Deep learning analysis in coronary computed tomographic angiography imaging for the assessment of patients with coronary artery stenosis51
Non Pharmaceutical Interventions for Optimal Control of COVID-1950
A hybrid neural network for continuous and non-invasive estimation of blood pressure from raw electrocardiogram and photoplethysmogram waveforms50
Knowledge-guided synthetic medical image adversarial augmentation for ultrasonography thyroid nodule classification49
VGG-TSwinformer: Transformer-based deep learning model for early Alzheimer’s disease prediction49
Cattaneo-Christov heat flux (CC model) in mixed convective stagnation point flow towards a Riga plate49
Virtual patients for mechanical ventilation in the intensive care unit48
A novel extended Kalman filter with support vector machine based method for the automatic diagnosis and segmentation of brain tumors48
On the magnetic aggregation of Fe3O4 nanoparticles48
Machine Learning Prediction Models for Diagnosing Hepatocellular Carcinoma with HCV-related Chronic Liver Disease48
Data augmentation using generative adversarial neural networks on brain structural connectivity in multiple sclerosis47
Atrial fibrillation detection based on multi-feature extraction and convolutional neural network for processing ECG signals46
Biomechanical evaluation of internal fixation implants for femoral neck fractures: A comparative finite element analysis46
CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation46
Memory-aware curriculum federated learning for breast cancer classification46
A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy, motivations, open research challenges an46
Pathological myopia classification with simultaneous lesion segmentation using deep learning46
Robust PPG motion artifact detection using a 1-D convolution neural network45
Validity and reliability of different smartphones applications to measure HRV during short and ultra-short measurements in elite athletes45
Diabetic retinopathy detection through convolutional neural networks with synaptic metaplasticity44
Deep learning-based tumor microenvironment analysis in colon adenocarcinoma histopathological whole-slide images44
Internet of things in health: Requirements, issues, and gaps43
A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques43
BPGAN: Brain PET synthesis from MRI using generative adversarial network for multi-modal Alzheimer’s disease diagnosis43
ECG quality assessment based on hand-crafted statistics and deep-learned S-transform spectrogram features42
Pre-operative Assessment of Ablation Margins for Variable Blood Perfusion Metrics in a Magnetic Resonance Imaging Based Complex Breast Tumour Anatomy: Simulation Paradigms in Thermal Therapies42
Multiscale attention guided U-Net architecture for cardiac segmentation in short-axis MRI images41
Deep learning-based automatic segmentation of images in cardiac radiography: A promising challenge41
An explainable machine learning algorithm for risk factor analysis of in-hospital mortality in sepsis survivors with ICU readmission41
Machine learning based natural language processing of radiology reports in orthopaedic trauma41
Using deep learning to generate synthetic B-mode musculoskeletal ultrasound images41
Mass Image Synthesis in Mammogram with Contextual Information Based on GANs41
Convolutional neural network based automatic screening tool for cardiovascular diseases using different intervals of ECG signals40
Machine learning algorithms to predict early pregnancy loss after in vitro fertilization-embryo transfer with fetal heart rate as a strong predictor40
Classification of skin cancer using convolutional neural networks analysis of Raman spectra40
ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions40
Ultrasonic thyroid nodule detection method based on U-Net network40
Comparative analysis of pulmonary nodules segmentation using multiscale residual U-Net and fuzzy C-means clustering40
Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation39
BSEResU-Net: An attention-based before-activation residual U-Net for retinal vessel segmentation39
CASF-Net: Cross-attention and cross-scale fusion network for medical image segmentation39
A model based on cellular automata to estimate the social isolation impact on COVID-19 spreading in Brazil39
End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis39
A review of mathematical model-based scenario analysis and interventions for COVID-1938
Parallel ensemble learning of convolutional neural networks and local binary patterns for face recognition38
A review of risk prediction models in cardiovascular disease: conventional approach vs. artificial intelligent approach38
Localization of myocardial infarction with multi-lead ECG based on DenseNet38
Biomechanical effects of dental implant diameter, connection type, and bone density on microgap formation and fatigue failure: A finite element analysis38
A Two-Phase Approach using Mask R-CNN and 3D U-Net for High-Accuracy Automatic Segmentation of Pancreas in CT Imaging38
Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network38
Fully automated Assessment of Knee Alignment from Full-Leg X-Rays employing a “YOLOv4 And Resnet Landmark regression Algorithm” (YARLA): Data from the Osteoarthritis Initiative37
Comparative analysis of active contour and convolutional neural network in rapid left-ventricle volume quantification using echocardiographic imaging37
Lung computed tomography image segmentation based on U-Net network fused with dilated convolution37
Multi-classification of arrhythmias using a HCRNet on imbalanced ECG datasets37
Irreversibility analysis of an unsteady micropolar CNT-blood nanofluid flow through a squeezing channel with activation energy-Application in drug delivery36
Postural control assessment via Microsoft Azure Kinect DK: An evaluation study36
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images36
MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomograms35
Digital interventions self-management education for type 1 and 2 diabetes: A systematic review and meta-analysis35
A regression framework to head-circumference delineation from US fetal images35
Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction35
HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images35
Fusion-based tensor radiomics using reproducible features: Application to survival prediction in head and neck cancer35
Efficient Combination of CNN and Transformer for Dual-Teacher Uncertainty-guided Semi-supervised Medical Image Segmentation35
Computer-aided diagnosis system for the classification of multi-class kidney abnormalities in the noisy ultrasound images35
Improved window adaptive gray level co-occurrence matrix for extraction and analysis of texture characteristics of pulmonary nodules35
Effective epileptic seizure detection by using level-crossing EEG sampling sub-bands statistical features selection and machine learning for mobile healthcare34
PSP net-based automatic segmentation network model for prostate magnetic resonance imaging34
Analysis of non-Newtonian magnetic Casson blood flow in an inclined stenosed artery using Caputo-Fabrizio fractional derivatives34
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI34
C-Net: Cascaded convolutional neural network with global guidance and refinement residuals for breast ultrasound images segmentation34
Optic disc and optic cup segmentation based on anatomy guided cascade network34
DFP-ResUNet:Convolutional Neural Network with a Dilated Convolutional Feature Pyramid for Multimodal Brain Tumor Segmentation34
IEViT: An enhanced vision transformer architecture for chest X-ray image classification34
StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology images34
Classification of lungs infected COVID-19 images based on inception-ResNet33
A deep learning approach for sepsis monitoring via severity score estimation33
Machine learning for surgical time prediction33
Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model33
Deep convolutional neural networks in thyroid disease detection: A multi-classification comparison by ultrasonography and computed tomography33
Shoulder muscle activation pattern recognition based on sEMG and machine learning algorithms33
Optimal control strategies for dengue fever spread in Johor, Malaysia33
Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review33
A facile and flexible motor imagery classification using electroencephalogram signals33
A Machine Learning decision-making tool for extubation in Intensive Care Unit patients32
A case study of poly (aryl ether sulfone) hemodialysis membrane interactions with human blood: Molecular dynamics simulation and experimental analyses32
Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches32
Artificial Intelligence-Based Prediction of Covid-19 Severity on the Results of Protein Profiling32
Accurately and effectively predict the ACL force: Utilizing biomechanical landing pattern before and after-fatigue32
Rheological properties of synovial fluid due to viscosupplements: A review for osteoarthritis remedy32
A hybrid approach based on multiple Eigenvalues selection (MES) for the automated grading of a brain tumor using MRI32
A self-learned decomposition and classification model for schizophrenia diagnosis32
SIMUS: An open-source simulator for medical ultrasound imaging. Part I: Theory & examples31
BloodCaps: A capsule network based model for the multiclassification of human peripheral blood cells31
Breast mass detection in digital mammography based on anchor-free architecture31
FLIRT: A feature generation toolkit for wearable data31
Linear and nonlinear analyses of normal and fatigue heart rate variability signals for miners in high-altitude and cold areas31
Deep attention branch networks for skin lesion classification31
Peristaltic activity for electro-kinetic complex driven cilia transportation through a non-uniform channel31
EEG emotion recognition using improved graph neural network with channel selection31
Uncertainty quantification in DenseNet model using myocardial infarction ECG signals31
Medical image super-resolution reconstruction algorithms based on deep learning: A survey31
Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson’s disease30
On construction of transfer learning for facial symmetry assessment before and after orthognathic surgery30
Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach30
Management of medical and health big data based on integrated learning-based health care system: A review and comparative analysis30
Novel nested patch-based feature extraction model for automated Parkinson's Disease symptom classification using MRI images30
A high resolution representation network with multi-path scale for retinal vessel segmentation30
Recurrent feature fusion learning for multi-modality pet-ct tumor segmentation30
Deep learning for risk prediction in patients with nasopharyngeal carcinoma using multi-parametric MRIs30
Analysis of the effects of finite element type within a 3D biomechanical model of a human optic nerve head and posterior pole30
Adversarial multi-source transfer learning in healthcare: Application to glucose prediction for diabetic people30
Ontology Driven Smart Health Service Integration30
Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images29
Assessment of a standalone photoplethysmography (PPG) algorithm for detection of atrial fibrillation on wristband-derived data29
Glaucoma Detection from Raw SD-OCT Volumes: A Novel Approach Focused on Spatial Dependencies29
Dyslexia detection using 3D convolutional neural networks and functional magnetic resonance imaging29
Supervised machine learning for the assessment of Chronic Kidney Disease advancement29
Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson's disease29
Domain- and task-specific transfer learning for medical segmentation tasks29
Semi-supervised automatic seizure detection using personalized anomaly detecting variational autoencoder with behind-the-ear EEG29
Numerical study of microwave induced thermoacoustic imaging for initial detection of cancer of breast on anatomically realistic breast phantom29
Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques29
Study on the use of standard 12-lead ECG data for rhythm-type ECG classification problems29
Dilated densely connected U-Net with uncertainty focus loss for 3D ABUS mass segmentation29
Evaluation of criteria and COVID-19 patients for intensive care unit admission in the era of pandemic: A multi-criteria decision making approach29
Finite element analysis of hip implant with varying in taper neck lengths under static loading conditions28
DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence28
A graph convolutional neural network for the automated detection of seizures in the neonatal EEG28
Effects of Virtual Reality Sessions on the Quality of Life, Happiness, and Functional Fitness among the Older People: A Randomized Controlled Trial from Taiwan28
Coupling hemodynamics with mechanobiology in patient-specific computational models of ascending thoracic aortic aneurysms28
Universum based Lagrangian twin bounded support vector machine to classify EEG signals28
A review of image processing methods for fetal head and brain analysis in ultrasound images28
Effect of power feature covariance shift on BCI spatial-filtering techniques: A comparative study28
An integrated deep learning model for motor intention recognition of multi-class EEG Signals in upper limb amputees28
ResNet and its application to medical image processing: Research progress and challenges28
Machine learning based analysis of speech dimensions in functional oropharyngeal dysphagia27
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis27
Residual dense network for medical magnetic resonance images super-resolution27
An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions27
Style transfer strategy for developing a generalizable deep learning application in digital pathology27
Automatic segmentation of cardiac magnetic resonance images based on multi-input fusion network27
Texture analysis based on U-Net neural network for intracranial hemorrhage identification predicts early enlargement27
ECG Language processing (ELP): A new technique to analyze ECG signals27
PyBioS: A freeware computer software for analysis of cardiovascular signals27
Using an improved relative error support vector machine for body fat prediction27
Swarm optimization approach to design PID controller for artificially ventilated human respiratory system27
Ensemble methods in combination with compartment models for blood glucose level prediction in type 1 diabetes mellitus27
Extreme gradient boosting model to assess risk of central cervical lymph node metastasis in patients with papillary thyroid carcinoma: Individual prediction using SHapley Additive exPlanations27
An interpretable 1D convolutional neural network for detecting patient-ventilator asynchrony in mechanical ventilation27
Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression27
PSO-FCM based data mining model to predict diabetic disease26
A novel convolutional neural network for kidney ultrasound images segmentation26
Study on transfer learning capabilities for pneumonia classification in chest-x-rays images26
Model-based estimation of negative inspiratory driving pressure in patients receiving invasive NAVA mechanical ventilation26
Augmented reality navigation for minimally invasive knee surgery using enhanced arthroscopy26
Wear estimation of trapezoidal and circular shaped hip implants along with varying taper trunnion radiuses using finite element method26
Sub-band target alignment common spatial pattern in brain-computer interface26
MFB-LANN: A lightweight and updatable myocardial infarction diagnosis system based on convolutional neural networks and active learning26
Esophageal cancer detection based on classification of gastrointestinal CT images using improved Faster RCNN26
SleepContextNet: A temporal context network for automatic sleep staging based single-channel EEG26
Global context-aware cervical cell detection with soft scale anchor matching26
Pathological lung segmentation in chest CT images based on improved random walker26
Computerized analysis of speech and voice for Parkinson's disease: A systematic review26
TNSNet: Thyroid nodule segmentation in ultrasound imaging using soft shape supervision26
Esophagus segmentation from planning CT images using an atlas-based deep learning approach26
Computational analysis of protein-ligand interaction by targeting a cell cycle restrainer25
A deep learning approach for synthetic MRI based on two routine sequences and training with synthetic data25
Gradual back-projection residual attention network for magnetic resonance image super-resolution25
A computer-aided grading of glioma tumor using deep residual networks fusion25
Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes?25
Discrimination of simultaneous psychological and physical stressors using wristband biosignals25
Skin lesion classification using CNNs with grouping of multi-scale attention and class-specific loss weighting25
Classification of blood pressure in critically ill patients using photoplethysmography and machine learning25
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation25
Towards realistic laparoscopic image generation using image-domain translation24
Real-time segmentation and tracking of excised corneal contour by deep neural networks for DALK surgical navigation24
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