yusuke1997/dblp-id-title huggingface dataset:
Memory-augmented-based meta-learning framework for cross-subject motor imagery classification
Semi-supervised training data selection improves seizure forecasting in canines with epilepsy
EEG emotion recognition using multi-dimensional features with attention-based inception capsule network
Ontological modeling with recursive recurrent neural network and crayfish optimization for reliable breast cancer prediction
Fusion classification of stroke patients' biosignals by weighted cross-validation-based feature selection (W-CVFS) method
Integrating intratumor-peritumor implicit correlation and deep semantic features for ultrasound breast cancer diagnosis
Optimal fuzzy P + D controller for cancer chemotherapy
Lightweight and interpretable convolutional neural network for real-time heart rate monitoring using low-cost video camera under realistic conditions
Non-Invasive antenna sensor based continuous glucose monitoring using pancreas dielectric radiation signal energy levels and machine learning algorithms
Alzheimer's disease prognosis using neuro-gen evo-synthesis framework for elderly populations
Lightweight G-YOLOv11: Advancing efficient fracture detection in pediatric wrist X-rays
Convolutional neural network-based fast seizure detection from video electroencephalograms
High-capacity reversible data hiding in encrypted medical images using adaptive pixel-modulation and HBP-RMC
3D heart sound source localization via combinational subspace methods for long-term heart monitoring
Investigation of the dynamical behavior of brain activities during rest and motor imagery movements
Hybrid classification model for emotion detection using electroencephalogram signal with improved feature set
Implementation of FBSE-EWT method in memristive crossbar array framework for automated glaucoma diagnosis from fundus images
Development of a non-attached multi-person emotion recognition system based on sitting body motion signals
Agent-based beat-by-beat compression of 12-lead electrocardiogram signal using adaptive Fourier decomposition
ResMU-Net: Residual Multi-kernel U-Net for blood vessel segmentation in retinal fundus images
A distributed three-channel wireless Functional Electrical Stimulation system for automated triggering of stimulation to enable coordinated task execution by patients with neurological disease
New bidirectional recurrent neural network optimized by improved Ebola search optimization algorithm for lung cancer diagnosis
Automatic adaptation of basal therapy for Type 1 diabetic patients: A Run-to-Run approach
Discrete Lissajous and Recton Functions: A New Method for Frequency Response Measurements
PKMT-Net: A pathological knowledge-inspired multi-scale transformer network for subtype prediction of lung cancer using histopathological images
A2ST-GCM: An adaptive spatio-temporal aware graph convolutional model for predicting pathological complete response in neoadjuvant therapy
Unveiling the abusive head trauma and Shaken Baby Syndrome: A comprehensive wavelet analysis
Noise ECG generation method based on generative adversarial network
Lung ventilation monitoring by electrical bioimpedance technique using three different 4-electrode thoracic configurations: Variability of calibration equations
Classification of non-motor cognitive task in EEG based brain-computer interface using phase space features in multivariate empirical mode decomposition domain
PDDS: A software for the early diagnosis of Parkinson's disease from MRI and DaT scan images using detection and segmentation algorithms
An improved feature selection approach using global best guided Gaussian artificial bee colony for EMG classification
Effect of the sEMG electrode (re)placement and feature set size on the hand movement recognition
A novel automatic locating method for pylorus and ileocecal valve in wireless capsule endoscopy
Enhanced predicting genu valgum through integrated feature extraction: Utilizing ChatGPT with body landmarks
Semi-supervised coronary artery segmentation based on latent information cross-supervision
HCTNet: An experience-guided deep learning network for inter-patient arrhythmia classification on imbalanced dataset
Unsupervised and supervised VAD systems using combination of time and frequency domain features
MDFN: A Multi-level Dynamic Fusion Network with self-calibrated edge enhancement for lung nodule segmentation
A self-learning deep neural network for classification of breast histopathological images
Optimized YOLOv11 model for lung nodule detection
3D convolutional network with edge detection for prostate gland and tumor segmentation on T2WI and ADC
Siamese network based fine grained classification for Diabetic Retinopathy grading
A Self-Attention Deep Neural Network Regressor for real time blood glucose estimation in paediatric population using physiological signals
Muscle fatigue analysis in isometric contractions using geometric features of surface electromyography signals
HyBiUnet-TransMask: a clinical decision system with segmentation and classification for interpretable brain tumor diagnosis in multimodal MRI
Improved Riemannian potato field: an Automatic Artifact Rejection Method for EEG
Robust sparse graph regularized nonnegative matrix factorization for automatic depression diagnosis
Automatic evaluation of the Nine-Hole Peg Test in multiple sclerosis patients using machine learning models
A wavelet optimization approach for ECG signal classification
Deep unfolding architecture for MRI reconstruction enhanced by adaptive noise maps
AI-enabled remote and objective quantification of stress at scale
A percolation theory-based reduction method for the full connectivity correlation matrix of functional brain network on EEG
Can deep learning improve the automatic segmentation of deep foveal avascular zone in optical coherence tomography angiography?
Study of empirical mode decomposition and spectral analysis for stress and emotion classification in natural speech
Skin cancer classification based on a hybrid deep model and long short-term memory
Medical gesture recognition using dynamic arc length warping
An efficient epileptic seizure classification system using empirical wavelet transform and multi-fuse reduced deep convolutional neural network with digital implementation
Non-invasive blood glucose estimation using a novel white-box model: An interpretable machine learning approach
Segmentation refinement using active shape constraints for peripapillary atrophy detection
Multi-source domain separation adversarial domain adaptation for EEG emotion recognition
An optimized modified faster region convolutional neural network for spina bifida identification from ultrasound images
MLAGG-Net: Multi-level aggregation and global guidance network for pancreatic lesion segmentation in histopathological images
Automatic seizure detection by modified line length and Mahalanobis distance function
Grounded knowledge-enhanced medical vision-language pre-training for chest X-ray
An attention-fused architecture for brain tumor diagnosis
Multimodal transformer for depression detection based on EEG and interview data
Synchronising coronary artery system via physics-informed neural feedback control
Recognition of balance signals between healthy subjects and otoneurological patients with hidden Markov models
Respiratory sound denoising using Empirical Mode Decomposition, Hurst analysis and Spectral Subtraction
An approach of polyp segmentation from colonoscopy images using Dilated-U-Net-Seg - A deep learning network
AMIP-N: Ankle Motion Intention Prediction Network combined TCN, LSTM, and Wavelet Multi-Head Self-Attention based on IMUs
AFPNet: An adaptive frequency-domain optimized progressive medical image fusion network
HybridDomainSleepNet: A hybrid common-private domain deep learning network for automatic sleep staging
AFS-HCTNet: A stroke segmentation network based on hybrid SCNN-Transformer with adaptive feature selection
Prediction of dyslexia severity levels from fixation and saccadic eye movement using machine learning
A novel multi-lead ECG personal recognition based on signals functional and structural dependencies using time-frequency representation and evolutionary morphological CNN
A no-reference metric to assess quality of denoising for Magnetic Resonance images
An algorithm for beat-to-beat heart rate detection from the BCG based on the continuous spline wavelet transform
MSGformer: A multi-scale grid transformer network for 12-lead ECG arrhythmia detection
Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review
Small-world properties of eye-movement time series assisted in identifying children at high risk for dyslexia
Data augmentation and hierarchical classification to support the diagnosis of neuropathies based on time series analysis
MFA-Net: A novel multilevel feature aggregation network for lung nodule segmentation
Evaluation of classification performance in human lower limb jump phases of signal correlation information and LSTM models
Applying the parametric learning tactic along with the Welch signal processing technique in designing a depression recognition system using electroencephalogram
Non-uniform background correction network for pathology images based on negative illumination complementary fusion and multi-residual edge detail enhancement
PixelINR: Scan-specific self-supervised MRI reconstruction based on implicit neural representations
Low cost image compression algorithm with colour reproduction algorithm for transmitting video frame of capsule endoscopy using low power
An efficient denoising of impulse noise from MRI using adaptive switching modified decision based unsymmetric trimmed median filter
Deep learning and regression approaches to forecasting blood glucose levels for type 1 diabetes
Alzheimer disease classification using optimal clustering based pre-trained SqueezeNet model
An interpretable deep learning approach for hypertension risk assessment in the elderly
Weakly supervised segmentation of COVID-19 infection with local lesion coherence on CT images
Exploring nonlinear harmonic signals of ultrasound contrast agents: Advancing quantitative parameters for improved microvascular perfusion assessment
BTDet: Towards lightweight and enhanced feature aggregation network for brain tumor detection
Improved second-harmonic imaging of ultrasound contrast agents using VGG-style network with adaptively decomposed ultrasound RF signals
A novel approach for fundus image enhancement
Motion artifact synthesis for research in biomedical signal quality analysis
Efficacy of transformer networks for classification of EEG data
Detection of mild cognitive impairment and Alzheimer's disease using dual-task gait assessments and machine learning
Gaze-guided vision transformer for chest X-ray image classification
FixMatch-LS: Semi-supervised skin lesion classification with label smoothing
Semi-supervised medical image segmentation via Region Stitching and Teacher-Assistant Collaboration
Specificities of phonation biomechanics in Down Syndrome children
Adaptive terminal and supertwisting sliding mode controllers for acute Leukemia therapy
Computer-aided diagnosis of spinal deformities based on keypoints detection in human back depth images
Motor unit-driven decoders for long-term motion intention: Effects of training strategies
Framework for Real-Time Detection and Identification of possible patients of COVID-19 at public places
Review of T-wave morphology-based biomarkers of ventricular repolarisation using the surface electrocardiogram
Transition Net: 2D backbone to segment 3D brain tumor
Optimized multi-dimensional attention spiking neural network based breast cancer detection from histopathology images
A NARX modeling-based approach for evaluation of insulin sensitivity
Comparative quantifications and morphological monitoring of the topical treatment approach for onychomycosis-affected in vivo toenail using optical coherence tomography: A case study
DG-ECG: Multi-stream deep graph learning for the recognition of disease-altered patterns in electrocardiogram
Experimental low cost reflective type oximeter for wearable health systems
Local means denoising of ECG signal
Estimation of monopolar signals from sphincter muscles and removal of common mode interference
Classification of acute leukemia using medical-knowledge-based morphology and CD marker
Recurrence quantification analysis of uterine vectormyometriogram to identify pregnant women with threatened preterm labor
Investigating the effects of phantom sensation on gait autocorrelation in transtibial amputees using signal processing techniques: A multidisciplinary analysis
Realtime recognition of multi-finger prehensile gestures
WNC-ECGlet: Weighted non-convex minimization based reconstruction of compressively transmitted ECG using ECGlet
Technology and research developments in carotid image registration
Performance assessment of a bleeding detection algorithm for endoscopic video based on classifier fusion method and exhaustive feature selection
Unsupervised multimodal abdominal tumor registration based on prototype alignment
Deep learning to diagnose Peripapillary Atrophy in retinal images along with statistical features
GSC-ABTA: A group-level brain sources connectivity framework based on adaptive block tensor analysis
Towards a continuous non-invasive assessment of intra-abdominal pressure based on bioimpedance and microwave reflectometry: A pilot run on a porcine model
Estimation of the second heart sound split using windowed sinusoidal models
Certainty in QRS detection with artificial neural networks
Cross-task extreme learning machine for breast cancer image classification with deep convolutional features
Computer-aided polyp detection based on image enhancement and saliency-based selection
Prediction of cervical lymph nodes recurrence after radiotherapy for early nasopharyngeal carcinoma via unsupervised diagnostic feature learning and supervised ensemble classifier learning
RBSTUNet: A dual-branch parallel network for colorectal polyp segmentation
An adaptive weighted boosting framework for enhanced cardiovascular disease diagnosis
A multi-type features fusion neural network for blood pressure prediction based on photoplethysmography
Improving brain tumor treatment with better imaging and real-time therapy using quantum dots
Continuous gas transfer monitoring during extracorporeal membrane oxygenation
Corrigendum to "An efficient approach using HOS-based parameters in the LPC residual domain to classify breathy and rough voices" [Biomed. Signal Process. Control 6(2) (2011) 186-196]
A physiological signal-based method for early mental-stress detection
Nonlinear composite adaptive control of cancer chemotherapy with online identification of uncertain parameters
TransUMobileNet: Integrating multi-channel attention fusion with hybrid CNN-Transformer architecture for medical image segmentation
A new delay-SIR model for pulse vaccination
Deep learning-driven segmentation of ischemic stroke lesions using multi-channel MRI
Mutifractals based multimodal 3D image registration
Efficient NetV2 for Lung Disease Diagnosis and Treatment by Harnessing the Synergy of Verifiable Convolutional Neural Network optimized with Nutcracker Optimizer Algorithm
Manifold embedded instance selection to suppress negative transfer in motor imagery-based brain-computer interface
Brain-computer interface in an inter-individual approach using spatial coherence: Identification of better channels and tests repetition using auditory selective attention
Hybrid MultiResUNet with transformers for medical image segmentation
A hard segmentation network guided by soft segmentation for tumor segmentation on PET/CT images
Robust S1 and S2 heart sound recognition based on spectral restoration and multi-style training
Graph signal processing based nonlinear QSAR/QSPR model learning for compounds
U-shaped architecture based on Gabor modulation coding for OCTA retinal vessel segmentation
Multi-scale fusion networks with enhanced attention mechanisms for auditory attention decoding from EEG
Non-invasive triglyceride detection: Using a combination of complementary multivariate photoplethysmogram features
Explainable radiomic-deep learning model with SHAP for predicting lymph-vascular space invasion in operable cervical cancer: a multicenter study
A coupling of common-private topological patterns learning approach for cross-subject emotion recognition
A multi-scale convolutional neural network with adaptive weight fusion strategy for assisting glaucoma screening
AI-CADS: An Artificial Intelligence based framework for automatic early detection and severity evaluation of coronary artery disease
Research on denoising algorithm of thoracic impedance signal for respiratory monitoring during running exercise
An innovative multi-level singular value decomposition and compressed sensing based framework for noise removal from heart sounds
Classification of myositis from muscle ultrasound images using deep learning
Wavelet-domain group-sparse denoising method for ECG signals
Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals
Virtual Reality visualization for computerized COVID-19 lesion segmentation and interpretation
Reconstruction of planar Magnetocardiography via spatiotemporal overlapping block sparse Bayesian learning
ECG-derived respiration using Hermite expansion
Dual-Transformer Cross-Attention Framework for Alzheimer's disease detection via dPTE-Guided EEG channel selection and multi-modal integration
ApneaNet: A hybrid 1DCNN-LSTM architecture for detection of Obstructive Sleep Apnea using digitized ECG signals
A hybrid quantum-neural network for heart disease classification
EUTNet: Edge Uncertainty-Aware Consistency and topology-constrained semi-supervised medical image segmentation
Reliability of muscle fibre conduction velocity distribution estimation from surface EMG
MGFormer: A lightweight multi-granular transformer for subject-independent Alzheimer's classification
Single channel EEG analysis for detection of depression
Attention-driven contextual feature fusion network for facial videos-based depression recognition
TRA: Trajectory retrieval augmented model for automatic sleep staging
Lightweight attention temporal convolutional network based on multi-scale feature fusion for respiratory prediction in tumor radiotherapy
Methodological issues in the development of automatic systems for voice pathology detection
MRI super-resolution reconstruction based on 3D dense connected convolutional autoencoders
Flexible dilated convolution and bidirectional pyramid approach to polyp segmentation
Machine Learning and XAI approaches for Allergy Diagnosis
Differentiation of early mild cognitive impairment in brainstem MR images using multifractal detrended moving average singularity spectral features
A generalizable and robust deep learning method for atrial fibrillation detection from long-term electrocardiogram
A comprehensive performance analysis of EEMD-BLMS and DWT-NN hybrid algorithms for ECG denoising
A novel NCEH1 targeting near-infrared fluorescent probe for breast cancer diagnosis and surgery
Multilevel thresholding technique with Archery Gold Rush Optimization and PCNN-based childhood medulloblastoma classification using microscopic images
DTAUE: A multi-input multi-branch decoupled semi-supervised 3D network based on threshold adaptive uncertainty estimation for echocardiography segmentation
Non-destructive detection of CAD stenosis severity using ECG-PCG coupling analysis
A phase-demodulation based time drift compensation for the reduction of the 50/60 Hz power line interference in biopotentials
New ECG biomarkers and sex-stratified models for the detection of Arrhythmogenic Cardiomyopathy with left ventricular involvement
EdgeAttenNet: A Camouflage-Aware attention network for accurate glomerular segmentation
An image quality enhancement scheme employing adolescent identity search algorithm in the NSST domain for multimodal medical image fusion
Sleep stage classification using Light Gradient Boost Machine: Exploring feature impact in depressive and healthy participants
Multi-module attention-guided deep learning framework for precise gastrointestinal disease identification in endoscopic imagery
XAI-CNVMarker: Explainable AI-based copy number variant biomarker discovery for breast cancer subtypes
Improving human activity recognition via graph attention network with linear discriminant analysis and residual learning
An improved method for soft tissue modeling
A GAN integrating CNN and transformer with mutual information and grayscale-based loss functions for modality translation in medical image
DHUnet: Dual-branch hierarchical global-local fusion network for whole slide image segmentation
RsALUNet: A reinforcement supervision U-Net-based framework for multi-ROI segmentation of medical images
A secure network path of implantable medical devices for detecting the vulnerabilities using hybrid DBNF network
A novel deep learning based method for COVID-19 detection from CT image
Robust estimation of channel similarity networks from epilepsy EEG data
Investigation of various validation and testing schemes for classification of cross-session mental workload to match real-life expectations of BCI: A transfer learning and XAI approach
A simple and innovative way to measure ventricular volume in a mechanical mock of the left ventricle
Heart rate variability responses determined by photoplethysmography in people with spinal cord injury
Compressed sensing using a deep adaptive perceptual generative adversarial network for MRI reconstruction from undersampled K-space data
Determination of feature relevance for the grouping of motor unit action potentials through a generative mixture model
Label-guided low-rank Approximation for functional brain network learning in identifying subcortical vascular cognitive impairment
Auto-encoder and bidirectional long short-term memory based automated arrhythmia classification for ECG signal
SMJE: Synthetic data-enhanced multi-head attention joint relation triplet extraction model for biomedical knowledge graph construction
TESE-Net: Segmentation network for kidney and kidney tumor based on edge texture enhancement and aggregated segmented local attention
Preprocessing and frame level classification framework for cardiac phase detection in 2D echocardiography
Hilbert spectrum analysis for automatic detection and evaluation of Parkinson's speech
Predicting EGFR gene mutation status in lung adenocarcinoma based on multifeature fusion
Cirrhosis classification based on MRI with duplicative-feature support vector machine (DFSVM)
A signal processing algorithm for improving the performance of a gyroscopic head-borne computer mouse
Multi-channel delineation of intracardiac electrograms for arrhythmia substrate analysis using implicitly regularized convolutional neural network with wide receptive field
An efficient medical image compression technique for telemedicine systems
A high performance asynchronous EOG speller system
Psychological stress detection using phonocardiography signal: An empirical mode decomposition approach
HTC-Net: A hybrid CNN-transformer framework for medical image segmentation
ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional transformer
Digital voice-based biomarker for monitoring respiratory quality of life: findings from the colive voice study
TB-MFCC multifuse feature for emergency vehicle sound classification using multistacked CNN - Attention BiLSTM
Adaptation of Common Spatial Patterns based on mental fatigue for motor-imagery BCI
MRI brain tumor classification using RFENet Three-Branch model with SwishReLU
Data mining framework for breast lesion classification in shear wave ultrasound: A hybrid feature paradigm
Mathematical description of proprioception through muscle activation signal generation in core musculoskeletal system
MTS-Net: Dual-enhanced positional multi-head self-attention for 3D CT diagnosis of May-Thurner Syndrome
Evaluation of reference phase analysis for synchronous EEG source separation
AC_Branch_MobileNet: An effective hybrid branch network for plane classification in fetus brain ultrasound image