yusuke1997/dblp-id-title huggingface dataset:
Comparison of time-domain, frequency-domain and non-linear analysis for distinguishing congestive heart failure patients from normal sinus rhythm subjects
Pulse wave signal modelling and feature extraction based on Lognormal function from photoplethysmography in wireless body area networks
A novel application of spectrograms with machine learning can detect patient ventilator dyssynchrony
Acoustic features to characterize sentence accent production in dysarthric speech
Intra and inter-patient arrhythmia classification using feature fusion with novel feature set based on fractional-order and fibonacci series
Kinematic model for simulating mucosal wave phenomena on vocal folds
Demography-Aware Personalized Federated Learning for fair, private, and efficient clinical risk prediction
TransPhys: Transformer-based unsupervised contrastive learning for remote heart rate measurement
Electrooculography signal generation with conditional diffusion models for eye movement classification
Designing a new fast solution to control isolation rooms in hospitals depending on artificial intelligence decision
Model-based simulation of dynamic magnetic resonance imaging signals
Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets
FFB-Former: Flatten Faster Branch Transformer for cystoscopy segmentation
Assessing skin blood flow function in people with spinal cord injury using the time domain, time-frequency domain and deep learning approaches
EEG study of facial emotion recognition in the fathers of autistic children
AMFTCNet: A multi-level attention-based multi-scale fusion temporal convolutional network for decoding MI-EEG signals
A mild cognitive impairment diagnostic model based on IAAFT and BiLSTM
A 3D end-to-end multi-task learning network for predicting lymph node metastasis at multiple nodal stations in gastric cancer
Surface electromyography based muscle fatigue progression analysis using modified B distribution time-frequency features
Application of condition coherence factor based on truncated composite method in ultrasound imaging
MSFF: An automated multi-scale feature fusion deep learning model for spine fracture segmentation using MRI
Key technologies for ultra-high throughput neural signal recording: A graphical data compression method based on two-dimensional compressed sensing
Parallel-type fractional zero-phase filtering for ECG signal denoising
A novel approach to unlocking the synergy of large language models and chemical knowledge in biomedical signal applications
Combined surface and intramuscular EMG for improved real-time myoelectric control performance
Untangling the graph based features for lung sound auscultation
Automatic classification of normal and sick patients with crackles using wavelet packet decomposition and support vector machine
Voice pathology detection using interlaced derivative pattern on glottal source excitation
Detection of Alzheimer's disease and mild cognitive impairment based on structural volumetric MR images using 3D-DWT and WTA-KSVM trained by PSOTVAC
Automatic delineation of laryngeal squamous cell carcinoma during endoscopy
DiffSR: A Conditional diffusion model-based surface electromyography distorted signal recovery technique
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree
Reflex regulation of model-based biomimetic control for a tendon-driven prosthetic hand
Method for enhancing transmission image of breast obtained in visible and near-infrared bands
Nonlinear control of HIV-1 infection with a singular perturbation model
Approximate Canonical Correlation Analysis for common/specific subspace decompositions
Automatic sleep staging by simultaneous analysis of ECG and respiratory signals in long epochs
Echocardiographic image segmentation using deep Res-U network
A method for sub-sample computation of time displacements between discrete signals based only on discrete correlation sequences
A graph-based method for automatic graded diagnosis of depression using EEG signals
REFORMamba-Unet: Hierarchical gated refocusing convolution and Mamba-Based u-net for PECTPA 3D medical image
A multi-classification algorithm based on multi-domain information fusion for motor imagery BCI
Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images
Application of graph convolutional spatial temporal fusion model based on gated recurrent unit and attention mechanism in inertial signal human activity recognition
Novel approach for fetal heart rate classification introducing grammatical evolution
Artifacts-matched blind source separation and wavelet transform for multichannel EEG denoising
Endoscopic view expansion for tracheal intubation using feature-based image-sequence stitching
SCEA-Net: A hybrid framework from spatial-channel-aware external attention for accurate 3D medical image segmentation
A novel DeepNet model for the efficient detection of COVID-19 for symptomatic patients
Multi-class multi-label ophthalmological disease detection using transfer learning based convolutional neural network
SeLIP: Similarity enhanced contrastive language image pretraining for multi-modal head MRI
A contrastive weakly supervised learning to characterize malignant prostate lesions in BP-MRI
Human brain tumor diagnosis using the combination of the complexity measures and texture features through magnetic resonance image
Asym-UNet: An asymmetric U-shape Network for breast lesions ultrasound images segmentation
A novel feature extraction method using chemosensory EEG for Parkinson's disease classification
Robotic arm control system based on brain-muscle mixed signals
Data-driven modeling and characterization of anti-angiogenic molecule effects on tumoral vascular density
Respiratory rate estimation from the ECG using an instantaneous frequency tracking algorithm
MVSI-Net: Multi-view attention and multi-scale feature interaction for brain tumor segmentation
CFATrans: Brain tumor segmentation from MRIs using Consecutive Fusion-Attention transformer with convolutional networks and a composite loss function
LRMTL: An efficient multitask learning network for breast tumor segmentation and medical report generation
A novel single-arm-worn 24 h heart disease monitor empowered by machine intelligence
Surface EMG decomposition based on innervation zone mapping and an LMMSE framework
Cross-patient automatic epileptic seizure detection using patient-adversarial neural networks with spatio-temporal EEG augmentation
In-silico, adaptive closed-loop electrophysiology platform for real-time neuromodulation
Cognitive load detection using circulant singular spectrum analysis and Binary Harris Hawks Optimization based feature selection
Evaluation of geometric differences between right and left lungs in bacterial pneumonia chest radiographs
Ectopic beats detection and correction methods: A review
Label-free discrimination of lung cancer cells through mueller matrix decomposition of diffuse reflectance imaging
Analysis of speech features and personality traits
Multiple abnormality detection for automatic medical image diagnosis using bifurcated convolutional neural network
Estimating finger joint angles on surface EMG using Manifold Learning and Long Short-Term Memory with Attention mechanism
Estimating finger joint angles by surface EMG signal using feature extraction and transformer-based deep learning model
DCCA multi cross-correlation analysis applied on EEG signals to study motor activity (Real/Imaginary)
A new modular semi-parallel EIT system for medical application
Improving estimates of the breakpoints in genome copy number alteration profiles with confidence masks
Walsh code based numerical mapping method for the identification of protein coding regions in eukaryotes
Dilated residual convolutional network for surface electromyographic hand gesture recognition
Tidal volume monitoring by a set of tetrapolar impedance measurements selected from the 16-electrodes arrangement used in electrical impedance tomography (EIT) technique. Calibration equations in a group of healthy males
Few-sweep estimation of evoked potential based on a generalized subspace approach
Multi-phase ECG dynamic features for detecting myocardial ischemia and identifying its etiology using deterministic learning
Classification of ADHD and non-ADHD subjects using a universal background model
A novel approach of Gaussian mixture model-based data compression of ECG and PPG signals for various cardiovascular diseases
X-ray absorption spectroscopy combined with machine learning for diagnosis of schistosomiasis cirrhosis
Cluster analysis and classification of heart sounds
Automated segmentation of palpebral fissures from eye videography using a texture fusion neural network
CTBP-Net: Lung nodule segmentation model based on the cross-transformer and bidirectional pyramid
Signal separation from X-ray image sequence using singular value decomposition
IMC-ResNet: Atrial fibrillation detection method based on interlayer multiscale coupling
Cross-Image siamese graph convolutional network for Fine-Grained image retrieval in diabetic retinopathy
Signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors
Consistency learning with dynamic weighting and class-agnostic regularization for semi-supervised medical image segmentation
SWFT-net: sparse wavelet-transformer network for 3D brain tumor detection
Denoising 3-D magnitude magnetic resonance images based on weighted nuclear norm minimization
Modal interaction and contrastive learning for heart failure diagnosis combining chest X-rays and clinical text
Decoding invariant spatiotemporal synergy patterns on muscle networks of lower-limb movements via surface electromyographic signals
A model use context complementarity feature fusion learning for semi-supervised 3D medical image segmentation
Gender based assessment of gait rhythms during dual-task in Parkinson's disease and its early detection
Semi-supervised GAN for enhancing electrocardiogram time series diagnostics
Supervised Bayesian learning for breast cancer detection in terahertz imaging
Improving the performance of multi-stage HER2 breast cancer detection in hematoxylin-eosin images based on ensemble deep learning
A novel method for motor imagery electroencephalogram classification: cross tensor coupling decomposition based on diverse modality brain functional networks
Effect of audiovisual stimulation on adult memory performance based electroencephalography wavelet analysis
BRMSA-Net: Disclosing concealed colorectal polyps in colonoscopy images via Boundary Recalibration and Multi-Scale Aggregation Network
A novel computer aided diagnostic system for quantification of metabolites in brain cancer
Relative peripheral blood volume changes induced by premature ectopic beats and their role in hemodialysis
Correlation analysis of EEG alpha rhythm is related to golf putting performance
Aberrant behavior prediction and severity analysis for autistic child through deep transfer learning to avoid adverse drug effect
A novel explainable deep generative model-aided transfer learning CNN for pelvis fracture detection
Towards automated self-administered motor status assessment: Validation of a depth camera system for gait feature analysis
The intracranial Windkessel implies arteriovenous pulsatile coupling increased by venous resistances
Mutual Information Clustering and Segmentation framework with Masking Noise Few-Shot Domain Adaptation ResNet for multi-modal brain tumor classification
Cervical vertebral maturation assessment using an innovative artificial intelligence-based imaging analysis system
MSCG-Net: A multi-scale cross-guidance neural network with generalizability for physiological signal analysis
An improved statistical representation for ECG electrode movement and muscular activity noises in the context of T-wave alternan estimation
Cardiac arrhythmia classification by time-frequency features inputted to the designed convolutional neural networks
UDTdiffusion: A pseudo-condition guided adversarial fast diffusion model for unpaired medical image translation
Accurate OCT-based diffuse adult-type glioma WHO grade 4 tissue classification using comprehensible texture feature analysis
An EEG-based approach for left-handedness detection
A non-subsampled Shearlet transform based approach for heartbeat sound watermarking
Multi-scale attention convolutional neural network for noncontact atrial fibrillation detection using BCG
ECG recognition based on deep convolutional neural network with dual attention mechanism
Seizure prediction using statistical dispersion measures of intracranial EEG
Using interictal seizure-free EEG data to recognise patients with epilepsy based on machine learning of brain functional connectivity
A new index to assess turning quality and postural stability in patients with Parkinson's disease
Exploiting morphology and texture of 3D tumor models in DTI for differentiating glioblastoma multiforme from solitary metastasis
MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech
Electrocardiogram data compression using DCT based discrete orthogonal Stockwell transform
Gait acceleration-based diabetes detection using hybrid deep learning
Heart rate asymmetry as a new marker for neonatal stress
Ensemble-based multimodal medical imaging fusion for tumor segmentation
A novel twin vision transformer framework for crop disease classification with deformable attention
TransGraphNet: A novel network for medical image segmentation based on transformer and graph convolution
A centralized multi-objective model predictive control for a biventricular assist device: An in vitro evaluation
FEHANet: A frequency enhanced Hybrid attention network for Bispectral Index Score estimation
Comparison of machine learning algorithms and feature extraction techniques for the automatic detection of surface EMG activation timing
Joint sparse model with coupled dictionary for medical image fusion
Reconstructing 12-lead ECG from reduced lead sets using an encoder-decoder convolutional neural network
Multi-perspective feature compensation enhanced network for medical image segmentation
Wavelet transforms for feature engineering in EEG data processing: An application on Schizophrenia
Pattern recognition of hand movements based on multi-channel mechanomyography in the condition of one-time collection and sensor doffing and donning
Population-invariant measurement of IMU-based gait biomarkers for automated Parkinson's disease diagnosis
Brain tumor classification and detection via hybrid alexnet-gru based on deep learning
ECG denoising based on successive local filtering
Enhancing traditional learning mechanism of brain tumor segmentation for BRaTS 23 employing contrastive learning
Algorithm for drowsiness detection based on hybrid brain network parameter optimization
Morphology classification of malaria infected red blood cells using deep learning techniques
Driver state recognition with physiological signals: Based on deep feature fusion and feature selection techniques
A novel retinal image generation model with the preservation of structural similarity and high resolution
Method of non-invasive parameters for predicting the probability of early in-hospital death of patients in intensive care unit
Recurrence quantification analysis of force signals to assess neuromuscular fatigue in men and women
FCE-YOLO: A highly accurate and efficient model for acute lymphoblastic leukemia detection and classification
The prediction of NICU admission and identifying influential factors in four different categories leveraging machine learning approaches
Enhancing COVID-19 detection through multimodal CT and X-ray image fusion with anisotropic diffusion and loss-attentional physics-informed neural networks
Quantitative lameness assessment in the horse based on upper body movement symmetry: The effect of different filtering techniques on the quantification of motion symmetry
Edge detection in medical images with quasi high-pass filter based on local statistics
Multiplanar reconstruction with incomplete data via enhanced fuzzy radial basis function neural networks
Hierarchical dictionary compressive sensing (HDCS) method in microwave induced thermal acoustic tomography
CGRNet: Contour-guided graph reasoning network for ambiguous biomedical image segmentation
Conduction velocity distribution estimation using the collision technique - Theory and simulation study
Ultrasound image segmentation based on enhanced generalized gradient vector Flow (EGGVF)
Multi-level spatiotemporal graph attention fusion for multimodal depression detection
Political Flower pollination Optimizer for age-related macular degeneration detection enabled deep Maxout network using OCT images
Adversarial transformer network for classification of lung cancer disease from CT scan images
A dual-branch pathology-prior attention mechanism based on Swin Transformer for the classification of p16/Ki-67 dual-staining cervical pathological cytology images
DAS-LSTM: A dual attention-enhanced LSTM with frequency band optimization for EEG-based motor imagery classification in brain-computer interfaces
Shallow multi-view network for sensor-based recognition of Parkinson's freezing of gait
MCGNet: Multi-level consistency guided polyp segmentation
Automated segmentation of the gastrocnemius and soleus in shank ultrasound images through deep residual neural network
Wavelet analysis of heart rate variability: Impact of wavelet selection
Atrial flutter and atrial tachycardia detection using Bayesian approach with high resolution time-frequency spectrum from ECG recordings
A multi-feature fusion method for image recognition of gastrointestinal metaplasia (GIM)
Hair removal methods: A comparative study for dermoscopy images
Lung nodule classification using local kernel regression models with out-of-sample extension
Automatic detection of non-apneic sleep arousal regions from polysomnographic recordings
MAFF-Net: SAM-powered Mixed Multi-scale Perception Adaptation and frequency-guided feature fusion for robust skin lesion segmentation
A transversal study of fundamental frequency contours in parkinsonian voices
EEG emotion recognition based on TQWT-features and hybrid convolutional recurrent neural network
Multi-attribute embedding network for breast cancer subtyping prediction reveals intrinsic molecular properties hidden in H&E images
GDilatedDTA: Graph dilation convolution strategy for drug target binding affinity prediction
Robust spiking cortical model and total-variational decomposition for multimodal medical image fusion
MRP-Net: Seizure detection method based on modified recurrence plot and additive attention convolution neural network
An automatic tumour growth prediction based segmentation using full resolution convolutional network for brain tumour
ADMM based low-rank and sparse matrix recovery method for sparse photoacoustic microscopy
MultiBCD: A multimodal model that simulates the human diagnostic process for automated breast cancer detection
Automated arrhythmia classification based on a combination network of CNN and LSTM
An innovative integrated processing framework for enhanced decoding of Mental-Imagery MEG signals
Analysis of voice as an assisting tool for detection of Parkinson's disease and its subsequent clinical interpretation
High-resolution and high-contrast ultrafast ultrasound imaging using coherent plane wave adaptive compounding
Automatic lumen border detection in IVUS images using dictionary learning and kernel sparse representation
Detection of paroxysmal atrial fibrillation from non-episodic ECG data using multi-dimensional feature representation and learning
Bias correction of intensity inhomogeneous images hybridized with superpixel segmentation
Signal analysis and classification of a novel active brain-computer interface based on four-category sequential coding
Estimation of continuous and constraint-free 3 DoF wrist movements from surface electromyogram signal using kernel recursive least square tracker
High-accuracy and high-throughput reactive lymphocyte identification using lightweight neural networks
Detecting the modality of a medical image using visual and textual features
Optimal drug scheduling for HIV therapy efficiency improvement
Self-paced Multi-view Learning for CT-based severity assessment of COVID-19
Leveraging CapsNet for enhanced classification of 3D MRI images for Alzheimer's diagnosis
Wavelet-based embedded algorithm for respiratory rate estimation from PPG signal
Adaptive sliding bandlimited multiple fourier linear combiner for estimation of pathological tremor
An advanced LAN model based on optimized feature algorithm: Towards hypertension interpretability
Improved multi-layer binary firefly algorithm for optimizing feature selection and classification of microarray data
On clustering based nonlinear projective filtering of biomedical signals
Graph Filtering-Based Multi-Granularity Spatial-Frequency Convolutional Attention Fusion Network for emotion recognition
Optimal selection of features using wavelet fractal descriptors and automatic correlation bias reduction for classifying skin lesions
Assessment of tibial shaft fracture healing using two-stage deep learning based on mRUST
NMR spectroscopy using Rabi modulated continuous wave excitation
Automatic detection of Alzheimer's disease from EEG signals using hybrid PSO-GWO algorithm
Edge and neighborhood guidance network for 2D medical image segmentation
MCLNet: An multidimensional convolutional lightweight network for gastric histopathology image classification
Correlation analysis of physiological parameters of pilot mental workload based on flight simulation
A novel hybrid optimization algorithm for depression detection using MRI and speech signal
An EMG-driven musculoskeletal model for estimation of wrist kinematics using mirrored bilateral movement
Get rid of the beat in mobile EEG applications: A framework towards automated cardiogenic artifact detection and removal in single-channel EEG
Enhanced background reconstruction of X-ray angiography frames through a guided inpainting method built on an end-to-end deep learning approach
The use of noise information for detection of temporomandibular disorder
Identification of fractional Hammerstein model for electrical stimulated muscle: An application of fuzzy-weighted differential evolution
Deep learning-based automatic image quality control system for anterior eye segment in slit lamp and smartphone
BPP-net: bio-inspired parallel pathway network for liver and tumor segmentation
MARGM: A multi-subjects adaptive region growing method for group fMRI data analysis
Highly censored survival analysis via data augmentation
A smart ontology-based IoT framework for remote patient monitoring
An Optimised Spherical Spatial-Frequency Self-Convolutional Neural Network for EEG-Based Emotion Recognition
Epoch length to accurately estimate the amplitude of interference EMG is likely the result of unavoidable amplitude cancellation
Analysis of fetal heart rate asymmetry before and after 35 weeks of gestation
Combining edge guidance and feature pyramid for medical image segmentation
Modality independent federated multimodal classification system detached EEG, audio and text data for IID and non-IID conditions
Dyskalemia detection based on wavelet scattering features and deep learning models: A comparative analysis
Advanced ECG classification with improved optimized feature selection and attention CNN-BILSTM technique
Classification of focal EEG signals using FBSE based flexible time-frequency coverage wavelet transform
A systematic stochastic design strategy achieving an optimal tradeoff between peak BGL and probability of hypoglycaemic events for individuals having type 1 diabetes mellitus
Deep learning via ECG and PPG signals for prediction of depth of anesthesia
Registration based fully optimized melanoma detection using deep forest technique
Intermediary-guided windowed attention Aggregation network for fine-grained characterization of Major Depressive Disorder fMRI
A deep learning-based framework For ECG signal denoising based on stacked cardiac cycle tensor