yusuke1997/dblp-id-title huggingface dataset:
Spectral F-wave index for automatic identification of atrial fibrillation in very short electrocardiograms
Music induced emotion using wavelet packet decomposition - An EEG study
Automatic scoring of apnea and hypopnea events using blood oxygen saturation signals
MS-MambaNet: A lightweight Multi-Scale Mamba architecture for lung cancer classification with explainability
Common spatial-spectral analysis of EMG signals for multiday and multiuser myoelectric interface
An efficient and fast GPU-based algorithm for visualizing large volume of 4D data from virtual heart simulations
Hemoperitoneum detection on non-contrast CT: Radiomics-driven explainable ML
Affective detection based on an imbalanced fuzzy support vector machine
Prediction of colorectal cancer microsatellite instability and tumor mutational burden from histopathological images using multiple instance learning
Direct dynamic tomographic reconstruction without explicit blood input function
Impact of plasma-generated reactive oxygen and nitrogen species (RONS) on apoptosis induction in LN229 cells
Relationship between abdominal excursion and ventilation volume and verification of respiratory biofeedback effects by visualization of abdominal excursion motion measurement waveforms
Measuring synchronization in coupled simulation and coupled cardiovascular time series: A comparison of different cross entropy measures
Machine learning and regression analysis for diagnosis of bruxism by using EMG signals of jaw muscles
Sparse decomposition of complex-valued fMRI data via L 1 - L 2 norm constraint
Detection of mild cognitive Impairment from gait using Adaptive Neuro-Fuzzy Inference system
M3FNet: mamba and multi-head-attention based multi-sequence fusion network for classifying urodynamic-related urinary disorders
Optimizing proportional balance between supervised and unsupervised features for ultrasound breast lesion classification
A photoplethysmography-based system for talking detection in bedridden patients
Exploring multi-source information fusion for cuff-less blood pressure measurement based on wearable watch-type device
Generalizable DNN model for brain tumor sub-structure segmentation from low-resolution 2D multimodal MR Images
EPVM: An efficient privacy-preserving palm vein model for user authentication
Motion prediction for beating heart surgery with GRU
Fast discrete curvelet transform and modified PSO based improved evolutionary extreme learning machine for breast cancer detection
Estimation of mean and median frequency from synthetic sEMG signals: Effects of different spectral shapes and noise on estimation methods
Precise and efficient heartbeat classification using a novel lightweight-modified method
cGAN-based high dimensional IMU sensor data generation for enhanced human activity recognition in therapeutic activities
Low-complexity lossless multichannel ECG compression based on selective linear prediction
Fast fully automatic detection, classification and 3D reconstruction of pulmonary nodules in CT images by local image feature analysis
Detecting positional vertigo using an ensemble of 2D convolutional neural networks
S2S-ARSNet: Sequence-to-Sequence automatic renal segmentation network
Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE)
SHARM: Segmented Head Anatomical Reference Models
Sparse spectrum based swarm decomposition for robust nonstationary signal analysis with application to sleep apnea detection from EEG
Early detection of diabetic foot ulcers from thermal images using the bag of features technique
Local Pattern Transformation-Based convolutional neural network for sleep stage scoring
Federated learning aided breast cancer detection with intelligent Heuristic-based deep learning framework
Unsupervised metal artifacts reduction network for CT images based on efficient transformer
Diabetes Mellitus risk prediction using age adaptation models
Joint frequency-phase-chirp modulation of high-frequency VEPs towards user-friendly and high-capacity BCIs
A prior embedding-driven architecture for long distance blind iris recognition
Structural consistency alignment U-Net for breast tumors ultrasound segmentation
Multimodal medical image fusion based on visual saliency map and multichannel dynamic threshold neural P systems in sub-window variance filter domain
A deep learning method for beat-level risk analysis and interpretation of atrial fibrillation patients during sinus rhythm
ECM-TransUNet: Edge-enhanced multi-scale attention and convolutional Mamba for medical image segmentation
Alzheimer's disease classification based on brain region-to-sample graph convolutional network
Hand gesture recognition using smooth wavelet packet transformation and hybrid CNN based on surface EMG and accelerometer signal
IGARN: IVUS Guidewire Artifact Removal Network based on unpaired unsupervised learning
Continuous non-invasive arterial blood pressure monitoring with photoplethysmography via SE-MSResUNet network
MANet: A missing-aware attention network for early Alzheimer's disease diagnosis using longitudinal and multimodal data
An adaptive unknown input approach to brain wave EEG estimation
Wrist photoplethysmography-based assessment of ectopic burden in hemodialysis patients
A Bi-Stream hybrid model with MLPBlocks and self-attention mechanism for EEG-based emotion recognition
Leveraging unlabeled data for lung sound classification through self-supervised contrastive learning
Classification of cross task cognitive workload using deep recurrent network with modelling of temporal dynamics
A high-precision arrhythmia classification method based on dual fully connected neural network
Anisotropic diffusion filtering method with weighted directional structure tensor
FCS-TPNet: Fusion of fNIRS chromophore signals to construct temporal-spatial graph representation for topological networks
MMS-Net: A multi-task learning framework for 12-lead ECG reconstruction and disease classification from 3-lead inputs
Characterization of the effects of Atosiban on uterine electromyograms recorded in women with threatened preterm labor
Lung sound signal denoising using discrete wavelet transform and artificial neural network
Real-time non-uniform EEG sampling
Investigation on tumor cells growth by Taguchi method
Automating vessel segmentation in the heart and brain: A trend to develop multi-modality and label-efficient deep learning techniques
Uncertainty-aware pseudo-label and consistency for semi-supervised medical image segmentation
A trustworthy and patient privacy-conscious framework for early diabetes prediction using Deep Residual Networks and proximity-based data
Detection of microaneurysms in color fundus images based on local Fourier transform
ThyHisTer: A new thyroid histopathology image dataset for ternary classification of thyroid cancer
Lightweight deep learning model for automated STN localization using MER in Parkinson's disease
Multifrequency time difference EIT imaging of cardiac activities
XAI-DeepNET: a novel interpretable deep learning framework for dynamic hand gesture recognition
A multi-modal Parkinson's disease diagnosis system from EEG signals and online handwritten tasks using grey wolf optimization based deep learning model
Application of peripheral neural information to model and control agonist/antagonistic muscular coordination dynamics using the Poincaré approach
Using particle swarm to select frequency band and time interval for feature extraction of EEG based BCI
Emboli detection using a wrapper-based feature selection algorithm with multiple classifiers
A fast method for simulating ultrasound image from patient-specific CT data
A novel reversible fragile watermarking method in DWT domain for tamper localization and digital image authentication
Unsupervised EEG channel selection based on nonnegative matrix factorization
DenWide-Net: Dense WideresNet for autism spectrum disorder detection using MRI image
Classification of EEG signals from young adults with dyslexia combining a Brain Computer Interface device and an Interactive Linguistic Software Tool
Efficient wavelet-based artifact removal for electrodermal activity in real-world applications
Inertial sensor and cluster analysis for discriminating agility run technique and quantifying changes across load
A deep learning self-attention cross residual network with Info-WGANGP for mitotic cell identification in HEp-2 medical microscopic images
Algorithm for determination of thresholds of significant coherence in time-frequency analysis
Convolutional attention-based adaptive separation network for EEG artefact removal
Simple U-net based synthetic polyp image generation: Polyp to negative and negative to polyp
Multi-scale deformable transformer for multi-contrast knee MRI super-resolution
DEF-SwinE2NET: Dual enhanced features guided with multi-model fusion for brain tumor classification using preprocessing optimization
A deep 1-D CNN learning approach with data augmentation for classification of Parkinson's disease and scans without evidence of dopamine deficit (SWEDD)
AFC-Unet: Attention-fused full-scale CNN-transformer unet for medical image segmentation
Research progress on emotion recognition based on electroencephalogram signals
A quantitative lower limb function assessment method based on fusion of surface EMG and inertial data in stroke patients during cycling task
Semi-automatic detection of increased susceptibility in multiple sclerosis white matter lesions imaged with 1.5T MRI
Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models
Model identification and evaluation of postural dynamics of healthy and post-stroke individuals under unidirectional perturbations
Local Extrema Min-Max Pattern: A novel descriptor for extracting compact and discrete features for hand gesture recognition
Dense Contour-Imbalance Aware framework for Colon Gland Instance Segmentation
Study of lumbar spine activity regularity based on Kanade-Lucas-Tomasi algorithm
Detection of haemorrhagic stroke in simulation and realistic 3-D human head phantom using microwave imaging
MRI and PET/SPECT image fusion at feature level using ant colony based segmentation
Brain sources estimation based on EEG and computer simulation technology (CST)
Privacy-preserving remote heart rate estimation using Block-wise Frequency Domain Transformation
Optimising rooftop photovoltaic adoption in urban landscapes: A system dynamics approach for sustainable energy transitions
Estimating heart rate variability parameters in long-term rPPG signals using spatiotemporal attention mechanisms
Multimodal image feature fusion for improving medical ultrasound image segmentation
motorSRNN: A spiking recurrent neural network inspired by brain topology for the effective and efficient decoding of cortical spike trains
Gan-based data augmentation to improve breast ultrasound and mammography mass classification
BoostedNet: A decision support model for the diagnosis of helicobacter pylori from gastric histopathology images
A multiple frequency bands parallel spatial-temporal 3D deep residual learning framework for EEG-based emotion recognition
Cochleogram-based adventitious sounds classification using convolutional neural networks
Can graph metrics be used for EEG-BCIs based on hand motor imagery?
A multi-layered stacked classifier developed for diagnosis of Parkinson's disease and SWEDD patients using fusion of multimodal data
Considering the effect of correlation between the channels in multivariate detectors for evoked responses in the electroencephalogram
A practical measuring system for intestinal pressure activity and its clinical application
MSFP-Net: a multi-scale and multi-frequency enhanced 3D network with learnable priors for coronary artery segmentation in CCTA images
Simultaneous multi-channel spikes and inverted spikes in focal epileptic ECoG are more after offset than during the seizure
TranSenseFusers: A temporal CNN-Transformer neural network family for explainable PPG-based stress detection
Automated fetal heart rate analysis for baseline determination and acceleration/deceleration detection: A comparison of 11 methods versus expert consensus
Classification of intracavitary electrograms in atrial fibrillation using information and complexity measures
Hierarchical multilevel framework using RDWT-QR optimized watermarking in telemedicine
TopK-KiU-Net and squeeze residual fraction network for kidney tumor segmentation and detection
Subject wise data augmentation based on balancing factor for quaternary emotion recognition through hybrid deep learning model
Reliable sleep staging of unseen subjects with fusion of multiple EEG features and RUSBoost
Enhanced pediatric age estimation from head MRI via self-distillation hybrid-attention network
To what degree of voice perturbation are jitter measurements valid? A novel approach with synthesized vowels and visuo-perceptual pattern recognition
HIFU micro-damage detection method based on optical flow multi-parameter time-division analysis
A novel glaucoma detection model using Unet++-based segmentation and ResNet with GRU-based optimized deep learning
Self-adaptive model-based ECG denoising using features extracted by mean shift algorithm
Automated accurate schizophrenia detection system using Collatz pattern technique with EEG signals
Advanced methodology for multiple sclerosis lesion exploring: Towards a computer aided diagnosis system
A novel approach to EEG channel selection: Integrating physiological insights and the MI-ME relationship
Two-phase detection-classification system for unprocessed white blood cell images using optimized krawtchouk moments
Integration of Convolutional Neural Network and Vision Transformer for gesture recognition using sEMG
Scale-adaptive super-feature based MetricUNet for brain tumor segmentation
Episode-level prediction of freezing of gait based on wearable inertial signals using a deep neural network model
Divide-and-conquer muscle synergies: A new feature space decomposition approach for simultaneous multifunction myoelectric control
ASNet: Attention-stacked deep network for ECG-based cardiac rhythm classification
PsLSNet: Automated psoriasis skin lesion segmentation using modified U-Net-based fully convolutional network
Texture and Radiomics inspired Data-Driven Cancerous Lung Nodules Severity Classification
Quantitative evaluation of short-term resting-state brain networks for primary insomnia diagnosis
Structure-aware single-source generalization with pixel-level disentanglement for joint optic disc and cup segmentation
The contractiongram: A method for the visualization of uterine contraction evolution using the electrohysterogram
D2PF-net: A dual-decoder progressive fusion network for retinal vessel segmentation
Identification of wart treatment evaluation by using optimum ensemble based classification techniques
Automatic adenomyosis diagnosis on ultrasound images based on segmentation-attention network
Control mechanisms of pathological low-frequency oscillations under different targets in Parkinson's disease
Estimating the cortex and autonomic nervous activity during a mental arithmetic task
An IoT-based framework for early identification and monitoring of COVID-19 cases
AdveDiffNet: adversarial diffusion network for unbalanced melanoma diagnosis
Algorithm for EMG noise level approximation in ECG signals
OAU-net: Outlined Attention U-net for biomedical image segmentation
An improved Poincaré plot-based method to detect atrial fibrillation from short single-lead ECG
The significance threshold for coherence when using the Welch's periodogram method: Effect of overlapping segments
Edge-guided adaptive multi-feature learning for breast ultrasound image segmentation
Metaphase finding with deep convolutional neural networks
ESCSegDiff: A diffusion model integrating dual encoder-guided network and level set for accurate early-stage skin cancer segmentation
Advancing cuffless blood pressure estimation: A PPG-based multi-task learning model for enhanced feature extraction and fusion
Exploring the propagation pathway in individual patients with epilepsy: A stepwise effective connection approach
A new method for automatically modelling brain functional networks
Decoding emotions through personalized multi-modal fNIRS-EEG Systems: Exploring deterministic fusion techniques
Corrigendum to "Systematic investigation of self-image-guided ultrasonic transceiver using time interval measurements for wireless power transfer" [Biomed. Signal Process. Control 81 (2023) 104482]
TL-CCL: Two-level causal contrastive learning for multi-label ocular disease diagnosis with fundus images
Distinguishing between Parkinson's disease patients and healthy individuals using a comprehensive set of time, frequency and time-frequency features extracted from vertical ground reaction force data
A dual-domain framework for multimodal medical image registration: Optimizing phase consistency with LPC-GIMI
Analysis of the postural stabilization in the upright stance using optimization properties
Low-density surface electromyographic patterns under electrode shift: Characterization and NMF-based classification
FRBNet: Feedback refinement boundary network for semantic segmentation in breast ultrasound images
A generating model of realistic synthetic heart sounds for performance assessment of phonocardiogram processing algorithms
Deep dual-side learning ensemble model for Parkinson speech recognition
Classification of ictal and seizure-free EEG signals using fractional linear prediction
Gabor based analysis prior formulation for EEG signal reconstruction
Deep leaning-based interactive segmentation of three-dimensional blood vessel images
Ricci flow-based brain surface covariance descriptors for diagnosing Alzheimer's disease
An attention-based deep learning method for the detection of electrical status epilepticus during sleep from electroencephalogram waveform analysis in children
Modelling respiratory impedance in patients with kyphoscoliosis
Automated polyp segmentation in colonoscopy images via deep network with lesion-aware feature selection and refinement
Classification of seizure based on the time-frequency image of EEG signals using HHT and SVM
Multiband frame-based acoustic cues of vocal dysperiodicities in disordered connected speech
Deep learning approach for ECG-based automatic sleep state classification in preterm infants
FBN-TCN: Temporal convolutional neural network based on spatial domain fusion brain networks for affective brain-computer interfaces
Comparison of 1.5 T and 3 T MRI hippocampus texture features in the assessment of Alzheimer's disease
Improving anisotropy resolution of computed tomography and annotation using 3D super-resolution network
Near-lossless energy-efficient image compression algorithm for wireless capsule endoscopy
Empirical wavelet transform based photoacoustic spectral response technique for assessment of ex-vivo breast biopsy tissues
A modified row-sparse multiple measurement vector recovery algorithm for reconstructing multichannel EEG signals from compressive measurements
MedScope-LDx: A comprehensive approach for advanced lesion analysis in medical imaging
A novel data augmentation approach for enhancement of ECG signal classification
Interpretable ECG analysis for myocardial infarction detection through counterfactuals
Body sound denoising technologies: A survey and validation
Suppression of acute and chronic mesial temporal epilepsy by contralateral sensing and closed-loop optogenetic stimulation with proportional-plus-off control
Utilizing multiple modalities for post-anesthesia recovery monitoring in hospitalized children
MCICT: Graph convolutional network-based end-to-end model for multi-label classification of imbalanced clinical text
An accurate and effective FMM-based approach for freehand 3D ultrasound reconstruction
Classification of pathological disorders using optimization enabled deep neuro fuzzy network
Non-invasive cardiovascular risk stratification in type 2 diabetes: a pulse wave and pulse rate variability analysis with machine learning
Artificial neural network based ankle joint angle estimation using instrumented foot insoles
EGFR gene mutation detection method using multi-path dual-layer routing attention network and multi-domain standardization GAN
A novel hybrid deep learning approach with GWO-WOA optimization technique for human activity recognition
A novel method for cardiac vector velocity measurement: Evaluation in myocardial infarction
FusionDenoNet: A novel hourglass-based deep learning framework for enhanced noise reduction in medical imaging
A new algorithm for wavelet-based heart rate variability analysis
Striped WriNet: Automatic wrinkle segmentation based on striped attention module
Using Blind Source Separation on accelerometry data to analyze and distinguish the toe walking gait from normal gait in ITW children
Multiband vocal dysperiodicities analysis using empirical mode decomposition in the log-spectral domain
Diagnosis of sleep disorders in traditional Chinese medicine based on adaptive neuro-fuzzy inference system
Original intensity preserved inhomogeneity correction and segmentation for liver magnetic resonance imaging
Ripplet domain non-linear filtering for speckle reduction in ultrasound medical images
A stain color normalization with robust dictionary learning for breast cancer histological images processing
ECG-based expert-knowledge attention network to tachyarrhythmia recognition
Time window and frequency band optimization using regularized neighbourhood component analysis for Multi-View Motor Imagery EEG classification
EMCNN: Fine-Grained Emotion Recognition based on PPG using Multi-scale Convolutional Neural Network
Neurodegenerative disease detection and severity prediction using deep learning approaches
Weighting and thresholding-based detail preserving image enhancement of gastrointestinal images with noise suppression
A weighted dispersion entropy based EEG analysis for ADHD diagnosis
TransCS-Net: A hybrid transformer-based privacy-protecting network using compressed sensing for medical image segmentation
Diagnosis of pediatric obstructive sleep apnea: Preliminary findings using automatic analysis of airflow and oximetry recordings obtained at patients' home
Automatic classification of breast cancer histopathological images based on deep feature fusion and enhanced routing
Diagnosis of mild Alzheimer's disease by EEG and ERP signals using linear and nonlinear classifiers
DFFKI-Net: A dual-domain feature fusion deep convolutional neural network for under-sampled MR image reconstruction
Multiscale adaptive and attention-dilated convolutional neural network for efficient leukemia detection model with multiscale trans-res-Unet3+ -based segmentation network
Estimating voluntary elbow torque from biceps brachii electromyography using a particle filter
Separation of propagating and non propagating components in surface EMG
Sift-BCD: SIFT-CNN integrated machine learning-based breast cancer detection
An ensemble method for the detection and classification of lung cancer using Computed Tomography images utilizing a capsule network with Visual Geometry Group
Feature and channel selection for designing a regression-based continuous-variable emotion recognition system with two EEG channels
CDMT-Unet: a dual-frequency cross-fusion model for skin cancer segmentation
Contactless evaluation of balancing ability based on 3D camera
Smoothing filter design: A general framework
Multilead ECG data compression using SVD in multiresolution domain
Achieving EEG-based depression recognition using Decentralized-Centralized structure
hyOPTXg: OPTUNA hyper-parameter optimization framework for predicting cardiovascular disease using XGBoost
MIB-Net: Balance the mutual information flow in deep learning network for multi-dimensional segmentation of COVID-19 CT images
UBMSDA: An unbalanced multi-source domain adaptive network based on user differences for cross-user myoelectric pattern recognition
Effect of different terrains on onset timing, duration and amplitude of tibialis anterior activation
LSDD-EEGNet: An efficient end-to-end framework for EEG-based depression detection
Combining Improved Euler and Runge-Kutta 4th order for Tractography in Diffusion-Weighted MRI