yusuke1997/dblp-id-title huggingface dataset:
Cancellable finger vein biometrics using random block histogram transformation
A time-frequency domain approach of heart rate estimation from photoplethysmographic (PPG) signal
Multi-modal medical image super-resolution fusion based on detail enhancement and weighted local energy deviation
DIR3D: Cascaded Dual-Domain Inter-Scale Mutual Reinforcement 3D Network for highly accelerated 3D MR image reconstruction
Towards effective classification of brain hemorrhagic and ischemic stroke using CNN
A unified heart rate control approach for cycle ergometer and treadmill exercise
Classification of intervertebral disc using novel multi-branch convolutional residual network model
A novel automated simulator of pediatric systemic circulation: Design and applications
Human emotion recognition using Machine learning techniques based on the physiological signal
Efficient machine learning models across multiple datasets for autism spectrum disorder diagnoses
Identifying transient patterns of in vivo muscle behaviors during isometric contraction by local polynomial regression
PIOFSF: A deep learning-based pediatric inferior orbital fracture screening framework
Analysis of heart sound anomalies using ensemble learning
An extended variational autoencoder for cross-subject electromyograph gesture recognition
A new method of detecting the characteristic waves and their onset and end in electrocardiogram signals
Electro/magnetoencephalography beamforming with spatial restrictions based on sparsity
Lossless electrocardiogram signal compression: A review of existing methods
A computation-efficient CNN system for high-quality brain tumor segmentation
A Slantlet transform based intelligent system for magnetic resonance brain image classification
Epileptic seizure prediction method based on transition network data augmentation and fuzzy granular recurrence plot
Validation of μ-volt T-wave alternans analysis using multiscale analysis-by-synthesis and higher-order SVD
DR-CapsNet: deep residual capsule network with dynamic routing for automated identification of hepatocellular carcinoma and cirrhosis in CT images
SIT-SAM: A semantic-integration transformer that adapts the Segment Anything Model to zero-shot medical image semantic segmentation
Tissue segmentation for traumatic brain injury based on multimodal MRI image fusion-semantic segmentation
Anaemia detection based on sclera and blood vessel colour estimation
Step length estimation with wearable sensors using a switched-gain nonlinear observer
FFANet: Feature fusion attention network to medical image segmentation
A new approach of ECG steganography and prediction using deep learning
Time-frequency analysis of spontaneous pupillary oscillation signals using the Hilbert-Huang transform
Fetal ECG enhancement: Adaptive power line interference cancellation based on Hilbert Huang Transform
The pooled scalogram: A wavelet-based approach to detect the co-activation of several muscles in the time-frequency domain
Research on improved FAWT signal denoising method in evaluation of firefighter training efficacy based on sEMG
A novel method based on Wiener filter for denoising Poisson noise from medical X-Ray images
HCA-former: Hybrid Convolution Attention Transformer for 3D Medical Image Segmentation
Emotion recognition in virtual and non-virtual environments using EEG signals: Dataset and evaluation
Pose-guided matching based on deep learning for assessing quality of action on rehabilitation training
Multiresolution approach for artifacts removal and localization of seizure onset zone in epileptic EEG signal
A retinex based non-local total generalized variation framework for OCT image restoration
Investigation of the effects of design parameters on sensitivity of surface plasmon resonance biosensors
CrossVesselNet: A one-shot retinal vessel segmentation Net
An improved lightweight tongue image semantic segmentation model based on DeepLabV3+
Tree based regression methods for gap reconstruction of motion capture sequences
Real time detection and forecasting technique for asthma disease using speech signal and DENN classifier
Medical image fusion via decoupled representation and component-wise regularization learning
Model predictive control of glucose concentration in type I diabetic patients: An in silico trial
Improved LSTM-Squeeze Net Architecture for brain activity detection using EEG with improved feature set
Monitoring respiratory impedance by wearable sensor device: Protocol and methodology
MCAM-Net: A non-iterative multi-scale coarse-to-fine registration network combined with adaptive morphology for deformable image registration
State-space analysis of fractional-order respiratory system models
Molecular subtype classification of breast cancer in digital breast tomosynthesis using the cross-window Transformer
Breast DCE-MRI segmentation for lesion detection by multi-level thresholding using student psychological based optimization
Multisite T1-weighted MRI classification of Alzheimer's disease using 3D-CNN-HSCAM architecture with contrastive domain adaptation
DeepArr: An investigative tool for arrhythmia detection using a contextual deep neural network from electrocardiograms (ECG) signals
A training whole-heart model for simulating propagation and ECG patterns
Fertility-LightGBM: A fertility-related protein prediction model by multi-information fusion and light gradient boosting machine
Reversible data hiding of JPEG images based on block sorting and segmented embedding
Quantification of pain severity using EEG-based functional connectivity
Endoscope image mosaic based on pyramid ORB
Simulation of reconstruction based on the system matrix for magnetic particle imaging
Estimating muscle force based on a neuromuscular decoding approach adaptive to fatigue conditions
Siamese network based high discriminative feature learning strategy for EEG classification of motor imagery
Potentials of constrained sliding mode control as an intervention guide to manage COVID19 spread
Edge-aware multi-prototype learning for few-shot medical image segmentation
MI brain-computer interfaces: A concise overview
Deep neural net for identification of neuropathic foot in subjects with type 2 diabetes mellitus using plantar foot thermographic images
Dynamic thresholding based efficient QRS complex detection with low computational overhead
Improving the segmentation of magnetic resonance brain images using the LSHADE optimization algorithm
Using phase information to reveal the nature of event-related desynchronization
Uncertainty quantification of cuffless blood pressure estimation based on parameterized model evidential ensemble learning
A multi-sperm dynamic tracking algorithm based on interactive motion model
Automatic artifact removal from GFR measurements
Enhancing sEMG recognition with dynamic asymmetric training in context-informed virtual-real fusion system
Speech rate estimation in disordered speech based on spectral landmark detection
EEG signals analysis for epileptic seizures detection using polynomial transforms, linear discriminant analysis and support vector machines
Deep learning approach of murmur detection using Cochleagram
Prediction of esophageal and gastric varices rebleeding for cirrhotic patients based on deep learning
A difference attention ResNet-LSTM network for epileptic seizure detection using EEG signal
Signal quality evaluation of single-channel respiratory sEMG recordings
A novel cell image fusion approach based on the collaboration of multilevel latent Low-Rank representation and the convolutional neural network
Joint-IVA for identification of discriminating features in EEG: Application to a driving study
Prior-knowledge-embedded model predictive control for blood glucose regulation: Towards efficient and safe artificial pancreas
Contactless sleep apnea detection in snoring signals using hybrid deep neural networks targeted for embedded hardware platform with real-time applications
A combination of singular value decomposition and multivariate feature selection method for diagnosis of schizophrenia using fMRI
Ultrasound image denoising using backward diffusion and framelet regularization
An improved capuchin search algorithm optimized hybrid CNN-LSTM architecture for malignant lung nodule detection
Combined radiomics-deep learning approach with clinical factors for surgical planning in pituitary tumor consistency assessment
HAU-Net: Hybrid CNN-transformer for breast ultrasound image segmentation
Enhancing healthcare system for patient data with HEO-PRAFT consensus mechanism using SPS authentication based EPRSS encryption
Motion magnification algorithms for video-based breathing monitoring
Integrating Gaussian mixture model with adjacent spatial adaptive transformer multi-stage network for magnetic resonance image reconstruction
Extraction of features from cross correlation in space and frequency domains for classification of skin lesions
Optimizing EEG feature selection for meditation classification using Sea Lion optimization and deep learning
Constrained online recursive source separation framework for Real-Time electrophysiological signal processing
Energy efficient ECG classification with spiking neural network
Low-dose dynamic cerebral perfusion CT reconstruction based on voxel-level TAC correction (VTC)
Hybrid capsule_CNN for depression detection based sentiment classification using review data
Morphology-preserving reconstruction of times series with missing data for enhancing deep learning-based classification
A self-supervised representation learning paradigm with global content perception and peritumoral context restoration for MRI breast tumor segmentation
Directional features for automatic tumor classification of mammogram images
Deep learning for motor imagery EEG-based classification: A review
Variability of cardiorespiratory interactions under different breathing patterns
Hunt-Crossley model based force control for minimally invasive robotic surgery
A dynamically optimized time-window length for SSVEP based hybrid BCI-VR system
A novel omni-dimensional dynamic convolution-based feature fusion framework for liver and tumor segmentation from CT
Evidence-based model for real-time surveillance of ARDS
Schizophrenic patient identification using graph-theoretic features of resting-state fMRI data
Classification of focal and non-focal EEG signals in VMD-DWT domain using ensemble stacking
IoT-based ECG monitoring for arrhythmia classification using Coyote Grey Wolf optimization-based deep learning CNN classifier
Single-cell RNA sequencing and multiple bioinformatics methods to identify the biomarkers of ischemic stroke to alzheimer's disease
Advancing gene feature selection: Comprehensive learning modified hunger games search for high-dimensional data
Enhanced diagnosis of skin lesions through torsional wave propagation and probabilistic inverse problem algorithms: An experimental study
A method for diagnosis support of mild cognitive impairment through EEG rhythms source location during working memory tasks
MSDMAT-BTS: Multi-scale diffusion model and attention mechanism for brain tumor segmentation
Semi-automatic liver tumor segmentation with adaptive region growing and graph cuts
A stochastic computing procedure to solve the dynamics of prevention in HIV system
Prediction therapy outcomes of HCV patients treated with interferon/ribavirin
AntiCVP-Deep: Identify anti-coronavirus peptides between different negative datasets based on self-attention and deep learning
Automated ischemic acute infarction detection using pre-trained CNN models' deep features
Motor imagery EEG signal classification using upper triangle filter bank auto-encode method
Infrared spectroscopy technique: An alternative technology for diabetes diagnosis
Detection of epileptic dysfunctions in EEG signals using Hilbert vibration decomposition
CT-MIFNet: Convolutional transformer-based multi-view interaction and fusion network for EEG decoding
A robust feature adaptation approach against variation of muscle contraction forces for myoelectric pattern recognition-based gesture characterization
Heartbeat evoked potentials (HEP) capture brain activity affecting subsequent heartbeat
Tcn-Net: A Novel multi-branch segmentation network for vertebrae MRI and X-ray image
Segmentation of the cardiac ventricle using two layer level sets with prior shape constraint
Attention-based convolutional long short-term memory neural network for detection of patient-ventilator asynchrony from mechanical ventilation
Functional connectivity and power spectral density analysis of EEG signals in trained practitioners of Bhramari pranayama
Stochastic modelling of insulin sensitivity variability in critical care
A novel retinal image segmentation using rSVM boosted convolutional neural network for exudates detection
Optimization of PIDD 2 -FLC for blood glucose level using particle swarm optimization with linearly decreasing weight
Data augmentation-based three-dimensional reconstruction of meningiomas: An improved K-Modified Marching Cubes algorithm
Detection of microvascular disease in Type-2 diabetes mellitus patients using White Shark assisted Extreme Gradient Boosted model
XTinnitusNet: Multi-view robust model ensemble for EEG-based tinnitus diagnosis with noisy labels
The exclusive presence of the chronic pulmonary disease could be more important in affecting autonomic cardiac modulation than the severity of airflow obstruction: Analysis using heart rate variability
ECG compression using the context modeling arithmetic coding with dynamic learning vector-scalar quantization
Integrated Spatio-Temporal Deep Clustering (ISTDC) for cognitive workload assessment
Noninvasive neural signal-based detection of soft and emergency braking intentions of drivers
Comparison of machine learning methods in sEMG signal processing for shoulder motion recognition
A simplified impedance estimation method inspired by the independent effect of arm posture and muscle co-contraction
Automatic ECG signal quality assessment using convolutional neural networks and derivative ECG signal for false alarm reduction in wearable vital signs monitoring devices
Adaptive two-way sweeping method to 3D kidney reconstruction
Dynamic measurement of pennation angle of gastrocnemius muscles obtained from ultrasound images based on gradient Radon transform
Deep learning models for cuffless blood pressure monitoring from PPG signals using attention mechanism
Dual dense context-aware network for hippocampal segmentation
On the design of automatic voice condition analysis systems. Part I: Review of concepts and an insight to the state of the art
Measuring intra-articular synovial fluid pressure in cadaveric scapholunate joints under radioulnar deviation
Automatic diagnosis of newly emerged heart failure from serial electrocardiography by repeated structuring & learning procedure
Despeckling of 3D ultrasound image using tensor low rank approximation
Fetal heart rate monitoring by fusion of estimations from two modalities: A modified Viterbi's algorithm
Advancing breast nodule detection in ultrasound images with multi-scale feature extraction
A survey on ECG analysis
Synergistic perception: Fusing expert knowledge and foundation models for semi-supervised mammogram segmentation
Lung vessel segmentation and abnormality classification based on hybrid mobile-Lenet using CT image
Forensic Radiology: A robust approach to biological profile estimation from bone image analysis using deep learning
Control design for a lower-limb paediatric therapy device using linear motor technology
Automated identification of diseases related to lymph system from lymphography data using artificial immune recognition system with fuzzy resource allocation mechanism (fuzzy-AIRS)
A unified deep network for thin- and dense-slice reconstruction: Improving through-plane resolution in clinical MRI
A combination of simple and dilated convolution with attention mechanism in a feature pyramid network to segment leukocytes from blood smear images
Applying Random Forest classification to diagnose autism using acoustical voice-quality parameters during lexical tone production
Registration of temporal sequences of coronal and sagittal MR images through respiratory patterns
Evaluation of deep convolutional neural networks for detection of freezing of gait in Parkinson's disease patients
Accuracy comparison of dimensionality reduction techniques to determine significant features from IMU sensor-based data to diagnose vestibular system disorders
Investigation of brain networks in children with attention deficit/hyperactivity disorder using a graph theoretical approach
An eye tracker based on webcam and its preliminary application evaluation in Chinese reading tests
Scattering Feature Space Area for hypernasality detection in cleft palate speech across demographics in resource-limited settings
Impact of propofol general anesthesia on cardiovascular and cerebrovascular closed loop variability interactions
Attention-based residual improved U-Net model for continuous blood pressure monitoring by using photoplethysmography signal
A physiological signal compression approach using optimized Spindle Convolutional Auto-encoder in mHealth applications
Transformer based on multi-scale local feature for colon cancer histopathological image classification
An R-peak detection method based on peaks of Shannon energy envelope
Anisotropic diffusion filter based edge enhancement for segmentation of breast thermogram using level sets
Machine learning-based medical decision support system for diagnosing HFpEF and HFrEF using PPG
DI-Unet: Dimensional interaction self-attention for medical image segmentation
The minimal sampling frequency of the photoplethysmogram for accurate pulse rate variability parameters in healthy volunteers
A methodology for estimating the shape of biconcave red blood cells using multicolor scattering images
IF-ASS: An interpretable framework for arterial stiffness screening using photoplethysmography conduction analysis and feature pooling algorithm
Deep residual constrained reconstruction via learned convolutional sparse coding for low-dose CT imaging
Local/Global explainability empowered expert-involved frameworks for essential tremor action recognition
Seizures classification based on higher order statistics and deep neural network
A clinical comparison between two acoustic analysis softwares: MDVP and Praat
Multi-modal biological feature selection for Parkinson's disease staging based on binary PSO with broad learning
Time adaptive ECG driven cardiovascular disease detector
LECNet: Lesion semantic feature enhancement and complementary networks for diabetic retinopathy grading
An optimal signal selection method based on feature neighborhood using for human gait mode recognition
Triplet attention fusion module: A concise and efficient channel attention module for medical image segmentation
A speed and direction-based cursor control system with P300 and SSVEP
Pseudo-label guided selective mutual learning for semi-supervised 3D medical image segmentation
Fuzzy model-based controller for blood glucose control in type 1 diabetes: An LMI approach
Screening of cardiac disease based on integrated modeling of heart rate variability
The SEIR model incorporating asymptomatic cases, behavioral measures, and lockdowns: Lesson learned from the COVID-19 flow in Sweden
Efficient brain tumor segmentation using OTSU and K-means clustering in homomorphic transform
Spectral reconstruction of fundus images using retinex-based semantic spectral separation transformer, applied for retinal oximetry
Efficient visual attention driven framework for key frames extraction from hysteroscopy videos
Stability of the insulin-glucose feedback loop in Glucosafe: A comparison of pancreas models
From local to global perception: Upgrade convolution with Mamba structure for left atrial appendage image analysis
MMPU-Net: A parameter-efficient network for fine-stage of pancreas and pancreas-tumor segmentation on CT scans
Smart healthcare: A novel deep learning based OptGPDCNN framework for heart disease prediction on the IoT platform
Reliability of the kinematic theory parameters during handwriting tasks on a vertical setup
Accurate blood pressure waveform decomposition and feature extraction using Ballistocardiogram mechanism
Multichannel CNN-based wavelet attention GRU FusionNet with triplet context learning for dynamic heart disease classification
Estimation of blood pressure waveform from facial video using a deep U-shaped network and the wavelet representation of imaging photoplethysmographic signals
Graph neural network with modular attention for identifying brain disorders
A two-stage CNN method for MRI image segmentation of prostate with lesion
Variable delay digital comb filter extraction of weak phase signals for SSVEP
Design and evaluation of an autonomic nerve monitoring system based on skin sympathetic nerve activity
Weighted Schatten p -norm minimization for impulse noise removal with TV regularization and its application to medical images
The use of artificial intelligence systems in diagnosis of pneumonia via signs and symptoms: A systematic review
Respiratory sound-base disease classification and characterization with deep/machine learning techniques
Classification of pancreatic tumor using modified echo state network-based pufferfish optimization algorithm
PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification using ensemble deep convolutional neural network from chest X-ray images to minimize severity and mortality rates
Automatic lung sound cycle extraction from single and multichannel acoustic recordings
Detection and classification of COVID-19 disease from X-ray images using convolutional neural networks and histogram of oriented gradients
An unsupervised image generation method for translation from fundus structure image to fluorescein angiography with fusion of hard exudates
Insulin Glargine in the intensive care unit: A model-based clinical trial design
A revised scheme for real time ECG Signal denoising based on recursive filtering
A fully-automated system for identification and classification of subsolid nodules in lung computed tomographic scans
A hybrid segmentation method based on Gaussian kernel fuzzy clustering and region based active contour model for ultrasound medical images
New oscillatory features of electrodermal activity signals evaluated in automated mental workload monitoring
Automated quantification of immunomagnetic beads and leukemia cells from optical microscope images
Decomposition of high-density sEMG signals: Extracting multiple spikes from single time windows
A novel data augmentation method to enhance deep neural networks for detection of atrial fibrillation
Multi-scale and multi-modal contrastive learning network for biomedical time series
Modeling and forecasting number of confirmed and death caused COVID-19 in IRAN: A comparison of time series forecasting methods
EEG-based emotion recognition in an immersive virtual reality environment: From local activity to brain network features
RF-ShCNN: A combination of two deep models for tumor detection in brain using MRI
Artifact removal for emotion recognition using mutual information and Epanechnikov kernel
New trends in voice pathology detection and classification
Bowel sound-based features to investigate the effect of coffee and soda on gastrointestinal motility
A self-supervised framework for improved generalisability in ultrasound B-mode image segmentation
X-ray and CT-scan-based automated detection and classification of covid-19 using convolutional neural networks (CNN)
On the design of automatic voice condition analysis systems. Part II: Review of speaker recognition techniques and study on the effects of different variability factors
Application of artificial intelligence in attention-deficit hyperactivity disorder deteaction and response to treatment: A systematic review
EEG based direct speech BCI system using a fusion of SMRT and MFCC/LPCC features with ANN classifier
Evaluation of an artificial pancreas in in silico patients with online-tuned internal model control
Heart-lung sound separation by nonnegative matrix factorization and deep learning
Extended selected papers from the 7th IFAC Symposium on Modelling and Control in Biomedical Systems (MCBMS'09)