yusuke1997/dblp-id-title huggingface dataset:
Cardiorespiratory profiling during simulated lunar mission using impedance pneumography
FUSegNet: A deep convolutional neural network for foot ulcer segmentation
A one-stage multi-task network for molecular subtyping, grading, and segmentation of glioma
Early detection of liver disease using data visualisation and classification method
Comparative analysis for classification of cervical cancer cells using binary red deer algorithm and ResNet framework
Medical image fusion based on sparse representation of classified image patches
Creating smooth SI. B-spline basis function representations of insulin sensitivity
Comparing sleep studies in terms of the apnea-hypopnea index using the dedicated Shiny web application
Artificial neural network scheme to solve the nonlinear influenza disease model
A comprehensive evaluation of contemporary methods used for automatic sleep staging
Efficient detection and correction of variable strength ECG artifact from single channel EEG
Deep-learning based triple-stage framework for MRI-CT cross-modality gross tumor volume (GTV) segmentation for rectal cancer neoadjuvant radiotherapy
Noisy multimodal brain image registration using markov random field model
A peel-off convolution kernel compensation method for surface electromyography decomposition
ReliefF based feature selection and Gradient Squirrel search Algorithm enabled Deep Maxout Network for detection of heart disease
Application of neural networks for the prediction of cartilage stress in a musculoskeletal system
Involution-based HarmonyNet: An efficient hyperspectral imaging model for automatic detection of neonatal health status
Estimating neural sources using a worst-case robust adaptive beamforming approach
CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images
Computer detection approaches for the identification of phasic electromyographic (EMG) activity during human sleep
Personalized nutrition and machine-learning: Exploring the scope of continuous glucose monitoring in healthy individuals in uncontrolled settings
A computerized method to assess Parkinson's disease severity from gait variability based on gender
Mental workload estimation with electroencephalogram signals by combining multi-space deep models
Resting tremor classification and detection in Parkinson's disease patients
BrainDx: a dual-transformer framework using PVT and SegFormer for tumor diagnosis
ICaps-ResLSTM: Improved capsule network and residual LSTM for EEG emotion recognition
A hybrid BCI combining SSVEP and EOG and its application for continuous wheelchair control
TBSTSleepNet: Three-branch spectro-temporal bidirectional LSTM based attention model for EEG sleep staging
GSE-Nets: Global Structure Enhancement decoder for thyroid nodule segmentation
Deep learning driven radiographic classification of primary bone tumors using attention augmented hybrid models
An Adaptive Fuzzy C-Means segmentation and deep learning model for efficient mammogram classification using VGG-Net
DMA-Net: Improving medical image segmentation performance through Dual-Stream Feature Fusion and foreground structure supplementation
Fitting synthetic to clinical kymographic images for deriving kinematic vocal fold parameters: Application to left-right vibratory phase differences
Two stage multi-modal medical image fusion with marine predator algorithm-based cascaded optimal DTCWT and NSST with deep learning
SPTDMD-WST: Arrhythmia classification from spatiotemporal modes of dynamic mode decomposition using wavelet scattering transform
P300 based character recognition using convolutional neural network and support vector machine
DeepBrainTumorNet: An effective framework of heuristic-aided brain Tumour detection and classification system using residual Attention-Multiscale Dilated inception network
A multi-scale recurrent fully convolution neural network for laryngeal leukoplakia segmentation
Collaborative encoding attributed hybrid attention knowledge distillation for missing-modality brain tumor segmentation
Fatigue driving recognition based on deep learning and graph neural network
Boundary-aware registration network for 4D-CT lung image with sliding motion
Map composition framework for synthetic P morphology
Characteristic frequency detection of steady-state visual evoked potentials based on filter bank second-order underdamped tristable stochastic resonance
Advancing non-invasive fetal health monitoring: A time-frequency approach to extracting fetal electrocardiogram signals
Breast cancer detection model using fuzzy entropy segmentation and ensemble classification
Glaucoma multi-classification using the novel syndrome mechanism-based dual-channel network
Automatic brain extraction from MRI of human head scans using Helmholtz free energy principle and morphological operations
Matching pursuit-based compressive sensing in a wearable biomedical accelerometer fall diagnosis device
NST: A nuclei segmentation method based on transformer for gastrointestinal cancer pathological images
A comprehensive hybrid model for early detection of cardiovascular diseases using integrated CardioXGBoost and long short-term memory networks
Breast cancer histopathology image classification based on dual-stream high-order network
EMD-based EEG signal enhancement for auditory evoked potential recovery under high stimulus-rate paradigm
An automatic segmentation of calcified tissue in forward-looking intravascular ultrasound images
Interpretable machine learning for hypertension detection using photoplethysmography (PPG) signals and their derivatives
Detection of oesophageal cancer based on the JS-DETR model
The efficiency of a Machine learning approach based on Spatio-Temporal information in the detection of patent foramen ovale from contrast transthoracic echocardiography Images: A primary study
EMG-based hand gesture classifier robust to daily variation: Recursive domain adversarial neural network with data synthesis
Automated diagnosis of pulmonary emphysema using multi-objective binary thresholding and hybrid classification
MMIF-VAEFusion: An end-to-end multi-modal medical image fusion network using vector quantized variational auto-encoder
Continuous and recurrent pattern dynamic neural networks recognition of electrophysiological signals
A new two-stream network based on feature separation and complementation for ultrasound image segmentation
Detection of severe coronary artery disease based on clinical phonocardiogram and large kernel convolution interaction network
Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images
A novel sophisticated form of DMAS beamformer: Application to breast cancer detection
Seizure detection algorithm based on improved functional brain network structure feature extraction
Analyzing respiratory effort amplitude for automated sleep stage classification
Glottal localization and segmentation using two-stage convolutional neural network during tracheal intubation
Improvement of accuracy and resilience in FHR classification via double trend accumulation encoding and attention mechanism
Corrigendum to "DIO-REGNET: Macular edema detection using Dingo optimized deep Reg network" [Biomed. Signal Proc. Contr. 109 (2025) 107941]
Real-time EEG-based emotion recognition using Riemannian quantification learning
Adaptive multi-branch CNN of integrating manual features and functional network for driver fatigue detection
Identifying diagnostic biomarkers for Erythemato-Squamous diseases using explainable machine learning
Improving deep learning in arrhythmia Detection: The application of modular quality and quantity controllers in data augmentation
TSMNet: A comprehensive network based on spatio-temporal representations for SSVEP classification
Machine learning-based bladder effusion estimation model construction on intravesical pressure data
Diagnosis of obstructive sleep apnea based on variational cardiopulmonary coupling
Two-stage wavelet shrinkage and EEG-EOG signal contamination model to realize quantitative validations for the artifact removal from multiresource biosignals
Computer aided diagnosis of obesity based on thermal imaging using various convolutional neural networks
Heartbeat classification using projected and dynamic features of ECG signal
Neuro-evolutionary approach for optimal selection of EEG channels in motor imagery based BCI application
FE-MAANet: A frequency-enhanced multi-scale adaptive attention network for medical image segmentation
Robust optimization for PPG-based blood pressure estimation
Principal component analysis in high resolution electrocardiogram for risk stratification of sustained monomorphic ventricular tachycardia
Continuous wavelet transform based processing for estimating the power spectrum content of heart rate variability during hemodiafiltration
Post-reconstruction-based partial volume correction methods: A comprehensive review
Spectral turbulence measuring as feature extraction method from EEG on affective computing
Cognitive perturbations affect brain cortical activity and postural control: An investigation of human EEG and motion data
Local-global multiple perception based deep multi-modality learning for sub-type of esophageal cancer classification
Contact Free human heart rate prediction using LWHRPnet deep learning in real time face and wrist videos
Biomedical image-based keratoconus classification using convolutional transformers and grey goose optimization
Liver disease classification using histogram-based gradient boosting classification tree with feature selection algorithm
An optimized and chaotic intelligent system for a 3DOF rehabilitation robot for lower limbs based on neural network and genetic algorithm
Dual branch deep learning network for detection and stage grading of diabetic retinopathy
Hybrid control strategies for a five-finger robotic hand
A novel approach based on Three-scale image decomposition and Marine predators algorithm for multi-modal medical image fusion
Hybrid feature fusion neural network integrating transformer for DCE-MRI super resolution
Classification of temporal data using dynamic time warping and compressed learning
Energy-aware hierarchical fractional-order terminal sliding mode control with hybrid learning observer for enhanced gait comfort in active prosthetics
Hybrid Capsule Networks for early Parkinson's disease detection: Reclassifying SWEDD cases through SPECT image analysis
Overlapping microbubble localization based on multiscale statistical features for ultrasound super-resolution imaging
IGWO based robust nonlinear control design for androgen suppression therapy in prostate tumor patients
Parameter adaptive unit-linking pulse coupled neural network based MRI-PET/SPECT image fusion
Sleep apnoea detection from ECG using features extracted from reconstructed phase space and frequency domain
Measurement and characterization of glucose in NaCl aqueous solutions by electrochemical impedance spectroscopy
A hybrid image processing and graph neural networks for malaria detection in blood smears
Predicting athletic injuries with deep Learning: Evaluating CNNs and RNNs for enhanced performance and Safety
AMMNet: A multimodal medical image fusion method based on an attention mechanism and MobileNetV3
NeuroFeat: An adaptive neurological EEG feature engineering approach for improved classification of major depressive disorder
A novel 3D differential entropy-based multi-class segmentation technique for brain MR image analysis
Closed-loop robust control of robotic flexible endoscopy with neural network-based lumen segmentation
A reversible fragile watermarking technique using fourier transform and Fibonacci Q-matrix for medical image authentication
Non-local adaptive hysteresis despeckling approach for medical ultrasound images
Wavelet energy based diagnostic distortion measure for ECG
SRT: Improved transformer-based model for classification of 2D heartbeat images
Motion artifact correction in fetal MRI based on a Generative Adversarial network method
Weakly supervised object detection for automatic tooth-marked tongue recognition
Wavelength selection for real-time detection of human stress based on StO2
A filter-predictor polynomial feature based machine learning approach to predicting preterm birth from cervical electrical impedance spectroscopy
Improvement decoding performance based on GQDA during a high engagement demanding paradigm
Cardiac decision making using higher order spectra
Emotion recognition from EEG signal enhancing feature map using partial mutual information
Classification and segmentation of OCT images for age-related macular degeneration based on dual guidance networks
Design and development of electronic stethoscope for early screening of valvular heart disease prediction
Baseline wander and power line interference removal from ECG signals using eigenvalue decomposition
Accuracy and performance of continuous glucose monitors in athletes
A Method to Minimise the Impact of ECG Marker Inaccuracies on the Spatial QRS-T angle: Evaluation on 1, 512 Manually Annotated ECGs
A frequency-attentive spatio-temporal convolutional neural network with weighted feature fusion for EEG-based driver fatigue detection
RATE- i PATH: On the design of integrated ultrasonic biomarkers for breast cancer detection
Automatic recognition of epileptic discharges based on shape similarity in time-domain
FedGraphMRI-net: A federated graph neural network framework for robust MRI reconstruction across non-IID data
T-ASSA: A Tensor-based Adaptive Singular Spectrum Analysis framework for multi-domain EEG analysis
Evolutionary perspective for optimal selection of EEG electrodes and features
An in-silico study of the effect of non-linear skin dynamics on skin-mounted accelerometer inference of skull motion
Early detection of Multi-Class Alzheimer's disease using Hybrid capsule auto encoder model
Deep learning-enhanced wellness scores: A population level study on gut microbiome profiling and health prediction
Wavelet based dictionaries for dimensionality reduction of ECG signals
Diffusion-weighted and spectroscopic MRI super-resolution using sparse representations
A novel deep classifier framework for automated molecular subtyping of breast carcinoma using immunohistochemistry image analysis
An automatic method for microscopic diagnosis of diseases based on URCNN
Comparative biomechanical analysis of titanium fixation plates and NiTi shape memory staples for mandibular fracture treatment using finite element method
An intellectual autism spectrum disorder classification framework in healthcare industry using ViT-based adaptive deep learning model
Adaptive weighted CEEMDAN-driven vibroacoustic augmentation and classification for precise, multiclass knee osteoarthritis assessment
New pulse oximetry detection based on the light absorbance ratio as determined from amplitude modulation indexes in the time and frequency domains
DFIMFD-Net: Dual-branch feature interaction and mutual-guidance feature decoding network for polyp segmentation
CardioPHON: Quality assessment and self-supervised pretraining for screening of cardiac function based on phonocardiogram recordings
Observer based nonlinear control design for glucose regulation in type 1 diabetic patients: An LMI approach
Characterization of heart rate variability signal for distinction of meditative and pre-meditative states
Microaneurysms detection in retinal fundus images based on shape constraint with region-context features
Development of a prototype for the analysis of multiple responses of the autonomic nervous system
Automated stress detection with explainable-AI transformer TabNet technique and physiological signals
Anterior cruciate ligament tear detection using gated recurrent unit and flexible fitness dependent optimizer
Lung Effghost V-Net: an Enhanced Novel Model for Precise Lung cancer Segmentation and Detection
Statistical and machine learning methods for cancer research and clinical practice: A systematic review
DM-RE2I: A framework based on diffusion model for the reconstruction from EEG to image
Development of artificial intelligence-based clinical decision support system for diagnosis of meniscal injury using magnetic resonance images
Classifying Alzheimer's disease using machine learning: Insights from default mode network alterations
Classification of direct microscopic fungi images using optimized graph networks
ADHD classification combining biomarker detection with attention auto-encoding neural network
Techniques for automatic plaque identification from few carotid ultrasound images using vision transformer Siamese architecture
Parameter transfer and Riemannian space coordinate alignment for EEG intention recognition
A wrapped time-frequency combined selection in the source domain
Accurate and precise prediction of insulin sensitivity variance in critically ill patients
Deep learning-driven feature engineering for lung disease classification through electrical impedance tomography imaging
Early stage HIV diagnosis using optimized ensemble learning technique
Design of a fractional order two layer fuzzy logic controller for drug delivery to regulate blood pressure
A comparative evaluation of neural network classifiers for stress level analysis of automotive drivers using physiological signals
Logistic ordinal regression for the calibration of oscillometric blood pressure monitors
A novel hybrid paradigm based on steady state visually evoked potential & P300 to enhance information transfer rate
Gait symmetry measures: A review of current and prospective methods
EEMSNet: Eagle-Eye Multi-Scale Supervised Network for cardiac segmentation
Frontiers in hemodialysis: Solutions and implications of mathematical models for bicarbonate restoring
Application of higher order statistics for atrial arrhythmia classification
φ-net-based few-views reconstruction for sparse optical projection tomography
Improvement of EEG-based motor imagery classification using ring topology-based particle swarm optimization
CBCT-based synthetic CT image generation using a boosting conditional diffusion model
Dual phase dependent RLS filtering approach for baseline wander removal in ECG signal acquisition
Optimizing breast cancer classification with EGERIA and reinforcement learning
EEG noise reduction based on the Multi-Scale Temporal Propagation Network
Evaluation of cyclic repetition frequency based algorithm for fetal heart rate extraction from fetal phonocardiography
Towards a model of arousal change after affective word pronunciation based on electrodermal activity and speech analysis
TwoM: A model for joint time-frequency representation and spatial filtering for EEG-based depression recognition
Disagreement serves an explainable ensemble model based on Dempster-Shafer evidence-fusion for an improved skin lesion classification
Towards accurate estimation of cuffless and continuous blood pressure using multi-order derivative and multivariate photoplethysmogram features
Self-supervised transformer based non-local means despeckling of optical coherence tomography images
Deep LF-Net: Semantic lung segmentation from Indian chest radiographs including severely unhealthy images
Advanced detection of cardiac arrhythmias using a three-stage CBD filter and a multi-scale approach in a combined deep learning model
SLP-Net:An efficient lightweight network for segmentation of skin lesions
Enhanced EEG-EMG coherence analysis based on hand movements
CoLM: Contrastive learning and multiple instance learning network for lung cancer classification of surgical options based on frozen pathological images
Classification of schizophrenia patients using a graph convolutional network: A combined functional MRI and connectomics analysis
Disentangling normal and pathological brain atrophy for the diagnosis of mild cognitive impairment and Alzheimer's disease
Nonlinear adaptive control of immune response of renal transplant recipients in the presence of uncertainties
DSSNet: A Dual-Stream Synergistic Network for coronary angiography image segmentation
A realistic approach to treatment design based on impulsive synchronization
Microscopic image analysis in breast cancer detection using ensemble deep learning architectures integrated with web of things
DCENSnet: A new deep convolutional ensemble network for skin cancer classification
PSFS-Net: Dynamic frequency-spatial synergistic perception network for polyp segmentation via hierarchical context refinement and frequency-domain decoupling
MMG-net: Multi modal approach to estimate blood glucose using multi-stream and cross modality attention
Ultrasound image processing to estimate the structural and functional properties of mouse skeletal muscle
Extended Spatiotemporal Separation for noise reduction in magnetocardiography
SwishRes-U-Net: A deep neural architecture for chronic wound segmentation
Machine learning based quantitative texture analysis of CT images for diagnosis of renal lesions
Linear and nonlinear analyses of heart rate variability signals under mental load
Subject-specific modeling by domain adaptation for the estimation of subglottal pressure from neck-surface acceleration signals
A novel blockchain-federated learning framework with quantum neural networks and wavelet transforms for secure IoT healthcare monitoring
Development and validation of a human lumbar spine finite element model based on an automated process: Application to disc degeneration
CNN with double-side weighted visibility graph for automated classification of high-frequency oscillations in epilepsy
ECMS-NET:A multi-task model for early endometrial cancer MRI sequences classification and segmentation of key tumor structures
A novel Residual and Gated Network for prostate segmentation on MR images
Linear block cipher and category based random opposition learning for secured electronic health record sharing
Automated detection of sigmatism using deep learning applied to multichannel speech signal
Static-dynamic functional connectivity fusion via cross-attention for ASD identification
The use of multi-energy photon emitters in 3D SPECT reconstruction
Mamba-driven multi-modality MRI reconstruction via scale diversity fusion and frequency purification
EOG biofeedback protocol based on selecting distinctive features to treat or reduce ADHD symptoms
An explainable hybrid DNN model for seizure vs. Non-seizure classification and seizure localization using multi-dimensional EEG signals
Detection of Parkinson's Disease from gait using Neighborhood Representation Local Binary Patterns
A robust heart sounds segmentation module based on S-transform
Modality-level cross-connection and attentional feature fusion based deep neural network for multi-modal brain tumor segmentation
Automatic segmentation of ultrasound images using SegNet and local Nakagami distribution fitting model
Efficient procedure to remove ECG from sEMG with limited deteriorations: Extraction, quasi-periodic detection and cancellation
MLAANet: A multi-level attention-aware network for pathological nuclei segmentation
CSGNet: Cascade semantic guided net for retinal vessel segmentation
ViT transfer learning for fMRI (VTFF): A highway to achieve superior performance for multi-classification of cognitive decline
Adaptive degradation-aware medical image enhancement for multi-modal diagnostics
DGAFF: Deep genetic algorithm fitness Formation for EEG Bio-Signal channel selection
Inter-patient ECG arrhythmia heartbeat classification network based on multiscale convolution and FCBA
COVID-19 disease detection using attention based Bi-Directional capsule network model
Towards real time QRS detection: A fast method using minimal pre-processing
Neuromarketing and decision-making: Classification of consumer preferences based on changes analysis in the EEG signal of brain regions
A preliminary study on the extraction of MRI Gradient-Induced potential from noisy ECG and its application to build a simple mathematical model
Active consistency network for multi-source domain generalization in brain tumor segmentation
Cuff-less continuous blood pressure measurement based on multiple types of information fusion
Learning spatial-spectral-temporal EEG representations with dual-stream neural networks for motor imagery
A hybrid enhanced attention transformer network for medical ultrasound image segmentation