yusuke1997/dblp-id-title huggingface dataset:
An edge-preserving total nuclear variation minimization algorithm in EPR image reconstruction
A convolutional neural network-based diagnostic method using resting-state electroencephalograph signals for major depressive and bipolar disorders
The role of individual physical body measurements and activity on spine kinematics during flexion, lateral bending and twist tasks in healthy young adults - Comparing marker(less) data
Expert system against machine learning approaches as a virtual sensor for ventricular arrhythmia risk level estimation
Academic stress detection on university students during COVID-19 outbreak by using an electronic nose and the galvanic skin response
Robust tumor segmentation in incomplete multi-modal imaging via a synergy of diffusion and Mamba models
MLDAN:Multi-scale large kernel decomposition attention network for super-resolution of lung computed tomography images
MSFT: A multi-scale feature-based transformer model for arrhythmia classification
Classification of cognitively normal controls, mild cognitive impairment and Alzheimer's disease using transfer learning approach
GDF-Net: A multi-task symmetrical network for retinal vessel segmentation
Trans-VNet: Transformer-based tooth semantic segmentation in CBCT images
Edge morphology attention mechanism and optimal geometric matching connection model for vascular segmentation
Feasibility of whole-body gait kinematics to assess the validity of the six-minute walk test over a 10-m walkway in the elderly
Venous Pulse Wave Velocity variation in response to a simulated fluid challenge in healthy subjects
Improved complete ensemble EMD: A suitable tool for biomedical signal processing
Automated MRI quantification of pediatric abdominal adipose tissue using convolutional neural networks and novel total intensity maps
A self-attention-driven deep denoiser model for real time lung sound denoising in noisy environments
A low cost approach for brain tumor segmentation based on intensity modeling and 3D Random Walker
Differentiating propofol-induced altered states of consciousness using features of EEG microstates
Online myoelectric pattern recognition based on hybrid spatial features
A mathematical and neural network-based hybrid technique for detecting the prostate contour from medical image data
DSML-UNet: Depthwise separable convolution network with multiscale large kernel for medical image segmentation
Glioma detection on brain MRIs using texture and morphological features with ensemble learning
An efficient segmentation technique for skeletal scintigraphy image based on sharpness index and salp swarm algorithm
Improved WSO algorithm to optimize electrode array for the personalized treatment of liver cancer in TTFields
How EEG-based cross-subject driving emotion is recognized: A multi-source transfer manifold learning model
Discriminative sEMG-based features to assess damping ability and interpret activation patterns in lower-limb muscles of ACLR athletes
Multiclass prediction of Alzheimer's disease using balanced multimodal data and deep ensemble learning
An empirical mode decomposition based detection theoretic strategy for T-wave alternans analysis
SAVMD: An adaptive signal processing method for identifying protein coding regions
Distance compensation-based dual adaptive artifact removal algorithm in microwave breast tumor imaging system
Multi-state colposcopy image fusion for cervical precancerous lesion diagnosis using BF-CNN
Detection of interictal epileptiform discharges using transformer based deep neural network for patients with self-limited epilepsy with centrotemporal spikes
A novel multi-scale fusion convolutional neural network for EEG-based motor imagery classification
Multiscale segmentation of exudates in retinal images using contextual cues and ensemble classification
A method for reconstructing 3D patient-specific total knee arthroplasty tibia models from 2D bi-planar radiographs
Spectral separation of evoked and spontaneous cortical activity, Part 1: Delta to high gamma band
Joint time-frequency analysis and non-linear estimation for fetal ECG extraction
MSENet: A multi-scale enhanced network based on unique features guidance for medical image fusion
MWDiff: dual-domain Mamba-Wavelet diffusion model for low-dose CT reconstruction
FCCS-Net: Breast cancer classification using Multi-Level fully Convolutional-Channel and spatial attention-based transfer learning approach
Oscillatory patterns in heart rate variability and complexity: A meta-analysis
Arithmetic Optimization for Coinciding Diabetic Retinopathy and Diabetic Macular Edema Grading based on Self-Attention Convolutional Neural Network
BioEdgeNet: A compact deep residual network for stress recognition on edge devices
Automatic 2D/3D spine registration based on two-step transformer with semantic attention and adaptive multi-dimensional loss function
Combined control of rehabilitation wheelchair using periocular electromyography and electroencephalography
HOG transformation based feature extraction framework in modified Resnet50 model for brain tumor detection
Ovarian cancer detection using optimized machine learning models with adaptive differential evolution
Digital cardiotocography: What is the optimal sampling frequency?
FastEMD-CCA algorithm for unsupervised and fast removal of eyeblink artifacts from electroencephalogram
Classification of cardiac arrhythmias based on alphabet entropy of heart rate variability time series
Heart sound diagnosis method based on multi-domain self-learning convolutional computation
GACEMV: An ensemble learning framework for constructing COVID-19 diagnosis and prognosis models
Design of a nearly linear-phase IIR filter and JPEG compression ECG signal in real-time system
DEMF-Net: A dual encoder multi-scale feature fusion network for polyp segmentation
A fuzzy rank-based ensemble of CNN models for MRI segmentation
Analysis of the Clever Hans effect in COVID-19 detection using Chest X-Ray images and Bayesian Deep Learning
EMG-based posture classification using a convolutional neural network for a myoelectric hand
An efficient multi-thresholding based COVID-19 CT images segmentation approach using an improved equilibrium optimizer
On the truncation of time frequency distributions to improve the computational performance in the estimation of fundamental parameters of a Doppler ultrasound blood flow signal
Decoder calibration framework for intracortical brain-computer interface system via domain adaptation
DPAST-LS: A transformer-based self-distillation network for efficient recognition of abnormal pulmonary sounds
A biosignal quality assessment framework for high-density sEMG decomposition
Simultaneous estimation of multi-finger forces by surface electromyography and accelerometry signals
Title: Hip and lower limbs 3D motion tracking using a double-stage data fusion algorithm for IMU/MARG-based wearables sensors
Synthesis of HRV signals characterized by predetermined time-frequency structure by means of time-varying ARMA models
Supervised model for Cochleagram feature based fundamental heart sound identification
Efficient lossless multi-channel EEG compression based on channel clustering
Dual temporal gated multi-graph convolution network based neurodegenerative disease detection and severity prediction
Corneal Tomography Multivariate Index (CTMVI) effectively distinguishes healthy corneas from those susceptible to ectasia
Mathematical modeling of chickenpox in Phuket: Efficacy of precautionary measures and bifurcation analysis
The harmonic and noise information of the glottal pulses in speech
A method from offline analysis to online training for the brain-computer interface based on motor imagery and speech imagery
Experimental modelling and human data of glottal area declination rate for vowel and semi-occluded vocal tract phonation
Multimodal biometric authentication method by federated learning
Deep neural network model for diagnosing diabetic retinopathy detection: An efficient mechanism for diabetic management
Characterizing gait asymmetry via frequency sub-band components of the ground reaction force
A cost focused framework for optimizing collection and annotation of ultrasound datasets
Pulmonary nodule detection in medical images: A survey
Detection of sleep breathing sound based on artificial neural network analysis
Ensemble deep learning model for early diagnosis of oral Squamous cell Carcinoma from histopathology images
Medical assisted-segmentation system based on global feature and stepwise feature integration for feature loss problem
Estimation of the independent components reliability of EEG signal in a clinical application
Explainable automated seizure detection using attentive deep multi-view networks
Effects of sampling frequency and interpolation preprocessing on inter- and intra-study comparability of stabilometric variables
AVIM - A contactless system for infant data acquisition and analysis: Software architecture and first results
Optical characterization of collagen scaffolds using multispectral images and a light-scaffold interaction model
The intelligent gastrointestinal metaplasia assessment based on deformable transformer with token merging
Non-invasive local pulse wave velocity using 4D-flow MRI
A method of source localization for bioelectricity based on "Orthogonal Differential Potential"
A novel statistical signal processing method to estimate effects of compounds on contractility of cardiomyocytes using impedance assays
Accurate preoperative path planning with coarse-to-refine segmentation for image guided deep brain stimulation
Validation of tremor measurements using quantified drawing analysis in patients with essential tremor or Parkinson's disease treated with MR-guided focused ultrasound thalamotomy
Development of a novel prognostic risk model for pancreatic adenocarcinoma exploiting multi-omics data
An efficient hybrid computer-aided breast cancer diagnosis system with wavelet packet transform and synthetically-generated contrast-enhanced spectral mammography images
ET-UMAP integration feature for ECG biometrics using Stacking
Discrimination of invasive ductal and lobular carcinoma of the breast based on the combination of enhanced Legendre polynomial, kinetic features and deep learning features
A self-adaptive frequency selection common spatial pattern and least squares twin support vector machine for motor imagery electroencephalography recognition
Effect of subject training on a movement-related cortical potential-based brain-computer interface
Improved anterior cruciate ligament tear diagnosis using gated recurrent unit networks and Hybrid Tasmanian Devil Optimization
DFU_VIRNet: A novel Visible-InfraRed CNN to improve diabetic foot ulcer classification and early detection of ulcer risk zones
Hemoglobin feature extraction based on wavelet packet-fuzzy shrinkage denoising model for improving the accuracy of whole blood NIRS quantitative analysis
MixUNet: A lightweight medical image segmentation network capturing multidimensional semantic information
A Deep Learning approach for automated Cytoplasm and Nuclei cervical segmentation
ACE-QSM: Accelerating quantitative susceptibility mapping acquisition using diffusion models by reducing repetition time
ShallowMRI: A novel lightweight CNN with novel attention mechanism for Multi brain tumor classification in MRI images
Online adaptive classification system for brain-computer interface based on error-related potentials and neurofeedback
Comparison of image registration methods for composing spectral retinal images
Contactless blood oxygen estimation from face videos: A multi-model fusion method based on deep learning
A Data mining framework of noninvasive intracranial pressure assessment
Multi-level GAN based enhanced CT scans for liver cancer diagnosis
An advanced W-shaped network with adaptive multi-scale supervision for osteosarcoma segmentation
An explainable fast deep neural network for emotion recognition
Repetitive component analysis and its application to noninvasive fetal electrocardiogram extraction
Boosting dental image classification performance with EfficientFormer via transfer learning
ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images
Choosing multichannel objective response detectors for multichannel auditory steady-state responses
Ensemble framework based on attributes and deep features for benign-malignant classification of lung nodule
Spatial and task attention network for treatment response prediction in locally advanced cervical cancer radiotherapy
Sonification and textification: Proposing methods for classifying unspoken words from EEG signals
Identification of psychological stress states based on joint analysis of multidomain features of skin conductance
Classification of skin cancer using adjustable and fully convolutional capsule layers
EEG-based multi-frequency band functional connectivity analysis and the application of spatio-temporal features in emotion recognition
FCA-Net: Fully context-aware feature aggregation network for medical segmentation
Predicting the intelligibility of reverberant speech for cochlear implant listeners with a non-intrusive intelligibility measure
Control approach for high sensitivity cardiopulmonary exercise testing during stimulated cycle ergometry in spinal cord injured subjects
SingleChannelNet: A model for automatic sleep stage classification with raw single-channel EEG
Dynamical correlation of non-stationary signals in time domain - A comparative study
A prior guide feature enhancement network for classifying ischaemic stroke onset time based on DWI and FLAIR imaging
Eye movement sequence analysis using electrooculogram to assist autistic children
Towards an adversarially robust convolutional neural network for automated diagnosis of malaria infection from microscopy images
LungSeg-Net: Lung field segmentation using generative adversarial network
Detection of auditory brainstem response peaks using image processing techniques in infants with normal hearing sensitivity
Prediction model of liver function through facial images using deep learning for liver cancer patients
Multi-objective advisory system for arrhytmia classification
Spatial prior-guided UNet for automatic segmentation of carotid artery CT
Phosphorus magnetic resonance spectroscopy and imaging ( 31 P-MRS/MRSI) as a window to brain and muscle metabolism: A review of the methods
A vigilance estimation method for high-speed rail drivers using physiological signals with a two-level fusion framework
An efficient multi-class dermatological lesion diagnosis using adaptive hybrid segmentation and residual graph CNN with attention mechanism
Diagnosis of Chronic obstructive pulmonary disease based on deep learning and auscultation lung sound
Harnessing deep learning for biomarker identification in osteoarthritis pathological sections
Image despeckling using a non-parametric statistical model of wavelet coefficients
Laser doppler vibrometer validation of an optical flow motion tracking algorithm
Mental stress detection using bioradar respiratory signals
Sustainability and predictive accuracy evaluation of gel and embroidered electrodes for ECG monitoring
SNM: A medical image fusion method using SSFRG decomposition, NRBOFA base fusion, and multi-level morphological gradient
Grasping force estimation using state-space model and Kalman Filter
Improving the performance of the motor imagery-based brain-computer interfaces using local activities estimation
Automated follicle counting system(AFCS) using YOLO-based object detection algorithm and its application in the POI model
MSDANet: A multi-scale dilation attention network for medical image segmentation
Score-based generative priors-guided model-driven Network for MRI reconstruction
Diagnostice breast elastography estimation from doppler imaging using central difference (CD) and least-squares (LS) algorithms
SMTF: Sparse transformer with multiscale contextual fusion for medical image segmentation
Adaptive neuro-FUZZY inference system-fusion-deep belief network for brain tumor detection using MRI images with feature extraction
Cnn-trans model: A parallel dual-branch network for fundus image classification
Schizophrenia recognition based on the phase space dynamic of EEG signals and graphical features
Fractional-order PID controller for blood pressure regulation using genetic algorithm
Cancer MiRNA biomarker classification based on Improved Generative Adversarial Network optimized with Mayfly Optimization Algorithm
Unsupervised confocal superficial eyelid image stitching: Flexible, accurate and smooth
Convolutional block attention autoencoder for denoising electrocardiograms
EG-Net: Edge-Global aware network for accurate skin lesion segmentation
A two-loop robust controller for HIV infection models in the presence of parameter uncertainties
Placenta segmentation in magnetic resonance imaging: Addressing position and shape of uncertainty and blurred placenta boundary
Single annotator versus multi-annotator: Challenge of segmenting two neighboring hippocampus head and body with high precision
Livestock animal skin disease detection and classification using deep learning approaches
Real-time continuous EOG-based gaze angle estimation with baseline drift compensation under stationary head conditions
Analysis of time series of surface electromyography and accelerometry in dogs
Deep learning based semantic segmentation and quantification for MRD biochip images
LPCNet based ant lion optimizer NLP to detect the timeline of metastatic recurrence of breast cancer
Cough sound detection from raw waveform using SincNet and bidirectional GRU
Deep learning based classification of COVID-19 severity using hierarchical deep maxout model
Quantitative voice quality analyses of a soprano singing early music in three different performance styles
Discovery of multiple level heart-sound morphological variability resulting from changes in physiological states
The relationship between shoulder joint response with cervical multifidus muscle dimensions
MSMA: A multi-stage and multi-attention algorithm for the classification of multimodal skin lesions
Automatic lung segmentation based on image decomposition and wavelet transform
Bridging 2D topology and 3D geometry via Transformer-enhanced Diffusion for Drug Molecule Generation
Recognizing drivers' turning intentions with EEG and eye movement
ECG-based emotion recognition using random convolutional kernel method
Temperature-driven robust disease detection in brain and gastrointestinal disorders via context-aware adaptive knowledge distillation
Seizure source localization using a hybrid second order blind identification and extended rival penalized competitive learning algorithm
Determination of the athletes' anaerobic threshold using machine learning methods
Stage-specific neurovascular complexity disruption in Alzheimer's spectrum: A resting-state fNIRS study using HFD, spectral and wavelet entropy
Fractional Crank-Nicolson finite difference method for benign brain tumor detection and segmentation
Feature selection algorithms highlight the importance of the systolic segment for normal/murmur PCG beat classification
Hidden Markov random field model based brain MR image segmentation using clonal selection algorithm and Markov chain Monte Carlo method
Computational dynamics of a fractional order model of chickenpox spread in Phuket province
Accurate identification of Parkinson's disease by distinctive features and ensemble decision trees
Optimizing thymic recovery in HIV patients through multidrug therapies
Unsupervised attention-based framework for cancerous region segmentation with explainable post-hoc thresholding in histopathological images
Hybrid deep learning framework for EMG signal-based recognition of rehabilitation gestures
Automated Chronic Obstructive Pulmonary Disease (COPD) detection and classification using Mayfly optimization with deep belief network model
Real-time filtering adaptive algorithms for non-stationary noise in electrocardiograms
Nonlinear feature space mapping of gait dynamics for neurodegenerative disease detection
Automatic detection of COVID-19 disease using U-Net architecture based fully convolutional network
A novel voice pathology detection technique through deep neural networks utilizing speech and electroglottographic signals
Development and validation of a deep learning-based automatic auscultatory blood pressure measurement method
Expert system supporting automatic risk classification and management in idiopathic membranous nephropathy based on rule sets and machine learning
LCCF-Net: Lightweight contextual and channel fusion network for medical image segmentation
Brain tumor segmentation using neutrosophic expert maximum fuzzy-sure entropy and other approaches
Performance comparison of machine learning algorithms for the estimation of blood pressure using photoplethysmography
Rate-independent detection of atrial fibrillation by statistical modeling of atrial activity
Machine learning for ranking f-wave extraction methods in single-lead ECGs
PID neural network-based multi-channel feedback closed-loop control for deep brain stimulation
In-out YOLO glass: Indoor-outdoor object detection using adaptive spatial pooling squeeze and attention YOLO network
LFT-UNet: A lightweight fusion of transformer and U-Net architectures for embedded medical image segmentation
Leveraging an optimized deep belief network based on a developed version of artificial rabbits optimization for breast tumor diagnosis
Dual consistency semi-supervised learning for 3D medical image segmentation
Research of heart sound classification using two-dimensional features
Breast cancer prediction by ensemble meta-feature space generator based on deep neural network
Anisotropic diffusion filter based fusion of NSST transformed medical images
Spectral clustering independent component analysis for tissue classification from brain MRI
A solution to the stagnation of multi-verse optimization: An efficient method for breast cancer pathologic images segmentation
Subspace-based linear multi-step predictors in type 1 diabetes mellitus
Geriatric depression symptoms coexisting with cognitive decline: A comparison of classification methodologies
Tidal volume monitoring by electrical impedance tomography (EIT) using different regions of interest (ROI): Calibration equations
Continuous glucose monitoring to measure metabolic impact and recovery in sub-elite endurance athletes
Intra-group and inter-group electrocardiograph coding image fusion and classification based on multi-scale group convolution feature fusion network
Enhanced stacking ensemble Model: A statistical ensemble pruning framework to classify anxiety severity for responsive emergency preparedness
TSSFN: Transformer-based self-supervised fusion network for low-quality fundus image enhancement
Speckle filtering of ultrasonic images using weighted nuclear norm minimization in wavelet domain
Evaluating the effectiveness of nighttime natural virtual scene on relaxation and sleepiness
Classification of AAMI heartbeat classes with an interactive ELM ensemble learning approach
DGCU-Net: A new dual gradient-color deep convolutional neural network for efficient skin lesion segmentation
Lightweight CNN-CBAM-BiLSTM EEG emotion recognition based on multiband DE features
UCP2-ACGAN: An adaptive condition GAN guided by U-shaped context perceptual processor for PET/CT images fusion
Assessing the impact of signal quality on heart rate detection from long-term clinical wrist PPG under varying cardiac rhythms
CFWA-Net: Cross-scale fusion and wavelet aggregation network for polyp segmentation
Diffusion model-based synthesis of brain images for data augmentation
Application of the R-peak detection algorithm for locating noise in ECG signals
Multi-label chest X-ray image classification based on long-range dependencies capture and label relationships learning
A Fast Calibration Method for an sEMG-Based Lower Limb Joint Torque Estimation Model
Facial expression-based hypomimia detection for Parkinson's disease diagnosis: A static-dynamic mixed feature approach
Classification of human movements by using Kinect sensor
Dose prediction for individualized prescription using deep learning: Modeling multiple radiotherapy clinical scenarios