yusuke1997/dblp-id-title huggingface dataset:
Spark and Rule-KNN based scalable machine learning framework for EEG deceit identification
MT-DFAN: A multi-task dynamic fusion attention network for multimodal emotion recognition in naturalistic conversations
Ensemble-based clustering and classification pipeline for cancer diagnosis using gene expression data
A novel method for cardiac disorders prediction based on wavelets and weighted visibility graph insights
Swarm intelligence empowered three-stage ensemble deep learning for arm volume measurement in patients with lymphedema
An efficient IoT enabled heart disease prediction model using Finch hunt optimization modified BiLSTM classifier
MFOF: Polyp segmentation model based on ordered fusion of multi-scale features
Deformation-aware and reconstruction-driven multimodal representation learning for brain tumor segmentation with missing modalities
Directed brain network analysis in anxious and non-anxious depression based on EEG source reconstruction and graph theory
Time-reassigned adaptive fourier synchrosqueezing transform with globally optimal window length
Assessment of central and cardiac oscillatory phase-phase coupling during sleep
Developing an efficient functional connectivity-based geometric deep network for automatic EEG-based visual decoding
Deep learning-based classification of healthy aging controls, mild cognitive impairment and Alzheimer's disease using fusion of MRI-PET imaging
A 'Divide and Embed' approach in a robust crypto-watermarking technique for enhancing the embedding capacity
A foundation deep learning system to identify early cancer: A cohort study of multiple cancers
PSD modifications of FHRV due to interpolation and CTG storage rate
Automated diagnosis of breast cancer using parameter optimized kernel extreme learning machine
An enhanced motor imagery EEG signals prediction system in real-time based on delta rhythm
Machine learning for the early prediction of head-up tilt testing outcome
MHSAGGCN-BCOA: A novel deep learning based approach for diabetic retinopathy detection
SSMDA: Semi-supervised multi-source domain adaptive autism prediction model using neuroimaging
Improving sleep/wake classification with recurrence quantification analysis features
Classification and evaluation of the severity of tricuspid regurgitation using phonocardiogram
Computer modeling: A gateway to novel advancements in solving real-life problems
MSRT-DETR: A novel RT-DETR model with multi-scale feature sequence for cell detection
Deep learning-based quality-controlled spleen assessment from ultrasound images
3D right ventricular endocardium segmentation in cardiac magnetic resonance images by using a new inter-modality statistical shape modelling method
A novel SLCA-UNet architecture for automatic MRI brain tumor segmentation
Towards fully automated deep-learning-based brain tumor segmentation: Is brain extraction still necessary?
A novel method based on shifted rank-1 reconstruction for removing EMG artifacts in ECG signals
Lung Cancer Classification using Optimized Attention-based Convolutional Neural Network with DenseNet-201 Transfer Learning Model on CT image
Emotion recognition from EEG signals using empirical mode decomposition and second-order difference plot
BRAIN-SCN-PRO: A machine learning model for the classification of brain tumors using a convolutional neural network architecture
CS-SwinGAN: A swin-transformer-based generative adversarial network with compressed sensing pre-enhancement for multi-coil MRI reconstruction
Separation of interference surface electromyogram into propagating and non-propagating components
Synchronized acoustic emission and gait analysis of total hip replacement patients
Atrial fibrillation detection with and without atrial activity analysis using lead-I mobile ECG technology
EMG-driven hand model based on the classification of individual finger movements
Deep learning-based bone marrow cytology classification: A solution to class imbalance
P- and T-wave delineation in ECG signals using parametric mixture Gaussian and dynamic programming
ECGtizer: An open-source, fully automated pipeline for digitization and signal recovery from paper electrocardiograms
Use of basis functions within a non-linear autoregressive model of pulmonary mechanics
Identification and classification of coronavirus genomic signals based on linear predictive coding and machine learning methods
A systematic review on cardiovascular disease detection and classification
Multi-task parallel with feature sharing integrated 3D U-Nets for Glioma Segmentation
An information fusion scheme based common spatial pattern method for classification of motor imagery tasks
Deep Learning and Optimized Learning Machine for Brain Tumor Classification
An in-silico proof-of-concept investigation of a combined glucose-insulin bolus quick dynamic insulin sensitivity test
Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG
Design and implementation of a silent speech recognition system based on sEMG signals: A neural network approach
Real-time ocular artifacts removal of EEG data using a hybrid ICA-ANC approach
MMSRNet: Pathological image super-resolution by multi-task and multi-scale learning
Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network
Robust feature sets for contraction level invariant control of upper limb myoelectric prosthesis
A constrained robust Markovian control approach with robust Kalman filter for fully automated insulin delivery systems
Schizophrenia detection technique using multivariate iterative filtering and multichannel EEG signals
Diagnose Alzheimer's disease and mild cognitive impairment using deep CascadeNet and handcrafted features from EEG signals
sEMG data driven-based anti-disturbance control enables adaptive interaction of lower limb rehabilitation exoskeleton
A novel method based on long short term memory network and discrete-time zeroing neural algorithm for upper-limb continuous estimation using sEMG signals
SVVD-NET: A framework with relative position constraints for vertebral vertex detection
Generalization of a wavelet-based algorithm to adaptively detect activation intervals in weak and noisy myoelectric signals
Schizophrenia classification and abnormalities reveal of brain region functional connection by deep-learning multiple sparsely connected network
Learning high-order spatial interactions and cascaded attention decoding for MRI-based ventricular segmentation
KA4GANC: A Kolmogorov-Arnold graph attention network approach for predicting gene regulations using single-cell RNA-sequencing data
Advanced Dual-Branch U-Net Decoder for Precise and Robust Surgical Instrument and Organ Segmentation
A novel deep domain adaptation method based on three-way decisions for identifying autistic patients
Ultrasound image segmentation of thyroid nodule via latent semantic feature co-registration
A Reliable speech emotion recognition framework for multi-regional languages using optimized light gradient boosting machine classifier
Corrigendum to "Technical report: An advanced algorithm for the description of mice oocyte cytoplasm and polar body" [Biomed. Signal Process. Control 48 (2019) 171-178]
Similarity constraint style transfer mapping for emotion recognition
An age-dependent Connectivity-based computer aided diagnosis system for Autism Spectrum Disorder using Resting-state fMRI
A new automated CNN deep learning approach for identification of ECG congestive heart failure and arrhythmia using constant-Q non-stationary Gabor transform
Exploring explainable machine learning and Shapley additive exPlanations (SHAP) technique to uncover key factors of HNSC cancer: An analysis of the best practices
Refining PD classification through ensemble bionic machine learning architecture with adaptive threshold based image denoising
A novel method for ECG signal morphology analysis using tortuosity estimation
A novel multi-scale convolutional neural network for motor imagery classification
Assessment of knee joint motion during gait using IMU-based helical axis analysis for early detection of knee osteoarthritis
Semi-supervised latent diffusion model for Biliary Atresia class-imbalanced image recognition
Machine learning classification of maladaptive rumination and cognitive distraction in terms of frequency specific complexity
An efficient adaptive method based on empirical wavelet transform for ultrasound tissue harmonic imaging
Analysis of heart rate variability for predicting cardiorespiratory events in infants
AlzVNet: A volumetric convolutional neural network for multiclass classification of Alzheimer's disease through multiple neuroimaging computational approaches
Automated focal EEG signal detection based on third order cumulant function
Image based control of smart workout systems
LDR-TransUNet: a transformer-based u-net architecture with learnable dilation rate modules for endoscopic low-light image enhancement
Modified deep inductive transfer learning diagnostic systems for diabetic retinopathy severity levels classification
Improved ShuffleNetV2 for Action Recognition in BPPV Treatment
AC-CfC: An attention-based convolutional closed-form continuous-time neural network for raw multi-channel EEG-based emotion recognition
Hand gestures recognition from surface electromyogram signal based on self-organizing mapping and radial basis function network
An ensemble approach of deep CNN models with Beta normalization aggregation for gastrointestinal disease detection
A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices
Critical evaluation of CNA estimators for DNA data using matching confidence masks and WGS technology
Ellipse guided multi-task network for fetal head circumference measurement
X-Brain: Explainable recognition of brain tumors using robust deep attention CNN
Discrimination of four class simple limb motor imagery movements for brain-computer interface
Spectral decomposition of heart rate variability using generalized harmonic analysis
Heatmap-guided balanced multi-task learning approach for glistening characterization in OCT images
Tremor analysis by decomposition of acceleration into gravity and inertial acceleration using inertial measurement unit
Invasive arterial blood pressure delineator for cardiopulmonary resuscitation patients during pauses of chest compressions
Dynamic PET/CT images and machine learning assessment for early diagnosis of liver cancer induced by DEN/CCl4 in mice
Broad learning system stacking with multi-scale attention for the diagnosis of gastric intestinal metaplasia
Decoding silent speech from high-density surface electromyographic data using transformer
Electromyography-controlled lower extremity exoskeleton to provide wearers flexibility in walking
Assessment of the impact of rapid freezing on the microscale elasticity of human breast tissue using quantitative micro-elastography
MLFEU-NET: A Multi-scale Low-level Feature Enhancement Unet for breast lesions segmentation in ultrasound images
Multi-branch spatial-temporal-spectral convolutional neural networks for multi-task motor imagery EEG classification
KFCNet: A Key Feature Consistency Network for microscopic urinary sediment image classification
Grasshopper optimization algorithm based improved variational mode decomposition technique for muscle artifact removal in ECG using dynamic time warping
Consistent assessment of heart rate recovery across exercise intensities
AAPFC-BUSnet: Hierarchical encoder-decoder based CNN with attention aggregation pyramid feature clustering for breast ultrasound image lesion segmentation
Mixed step size normalized least mean fourth adaptive algorithm for artifact elimination from raw EEG signals
MVMI: Multi-View Multi-Instance network for the detection of knee osteoarthritis
Automatic lung parenchyma segmentation using a deep convolutional neural network from chest X-rays
Recursive sample weighted - N-way partial least squares for brain-computer interface decoder online learning with class imbalance
DLEmotion: Deep learning-based emotion classification using visual attention location information
Dynamic gripping force estimation and reconstruction in EMG-based human-machine interaction
A hybrid edge-based segmentation approach for ultrasound medical images
A deep dense residual network with reduced parameters for volumetric brain tissue segmentation from MR images
WEFormer: Classification for physiological time series with small sample sizes based on wavelet decomposition and time series foundation models
Analysis of the spatiotemporal MVDR filter applied to BCI-SSVEP and a filter bank extension
Towards growth-accommodating deep learning-based semantic segmentation of pediatric hand phalanges
Enhancing Mobile Edge Computing customer reviews analysis with Ensemble Sparse Support Vector L1 Regularization Based Crossover Discrete Mycorrhized Algorithm
Tunable Q-wavelet based ECG data compression with validation using cardiac arrhythmia patterns
Convolutional neural network approach for motor imagery and steady-state somatosensory evoked potential-based hybrid brain-computer interface using dry electrodes
Evaluation of handcrafted features and learned representations for the classification of arrhythmia and congestive heart failure in ECG
Bimodal segmentation and classification of endoscopic ultrasonography images for solid pancreatic tumor
Multi-scale Vision Mamba-UNet: A Mamba-based method for retinal vessel segmentation
A comparison of three heart rate detection algorithms over ballistocardiogram signals
Automatic cough detection from realistic audio recordings using C-BiLSTM with boundary regression
Open-access software for analysis of fetal heart rate signals
A control systems analysis of HIV prevention model using impulsive input
Attention transformer mechanism and fusion-based deep learning architecture for MRI brain tumor classification system
SACE-Net: Scale-adaptive and context-enriched network for medical image classification
Robust static output-feedback vaccination policy design for an uncertain SIR epidemic model with disturbances: Positive Takagi-Sugeno model approach
Factors affecting the turns analysis of the interference EMG signal
Human motion intention recognition method with visual, audio, and surface electromyography modalities for a mechanical hand in different environments
Segmentation of lung cancer-caused metastatic lesions in bone scan images using self-defined model with deep supervision
Gray level co-occurrence matrix and random forest based acute lymphoblastic leukemia detection
Early stage tumor segmentation in breast MRI using shape enhanced U-Net
Optimizing ST-Segment classification in ECG using multi-task learning
Humming bird optimization based deep belief neural network for Tamil handwritten character recognition
GA-CNN: Analyzing student's cognitive skills with EEG data using a hybrid deep learning approach
A transformer model blended with CNN and denoising autoencoder for inter-patient ECG arrhythmia classification
Enhancing spatial auditory attention decoding with wavelet-based prototype training
Explainable deep learning framework for breast tumor analysis in ultrasound imaging systems
Morphological measurement of localized temperature increase amplitudes in breast infrared thermograms and its clinical application
GCAUNet: A group cross-channel attention residual UNet for slice based brain tumor segmentation
Piecewise affine approach to inferring cell cycle regulatory network in fission yeast
New mapping algorithm SHIM (SVD, Hilbert Identifying Method) for the extraction of phase singularities and spiral waves in cardiac arrhythmias
Explainable artificial intelligence in electrocardiography: A systematic review
Application of hybrid GLCT-PICA de-noising method in automated EEG artifact removal
Separation of movement direction concepts based on independent component analysis algorithm, linear discriminant analysis, deep belief network, artificial and fuzzy neural networks
Modeling and control of exoskeleton for wrist and forearm rehabilitation
A deep learning-based comprehensive robotic system for lower limb rehabilitation
A denoising performance comparison based on ECG Signal Decomposition and local means filtering
Domain-ensemble learning with cross-domain mixup for thoracic disease classification in unseen domains
Robust computation of pulse pressure variations
Human hand movement recognition using infinite hidden Markov model based sEMG classification
Automated detection of the onset and systolic peak in the pulse wave using Hilbert transform
A physiology-driven deep learning-based pipeline for ECG segmentation
ZMGA: A ZINB-based multi-modal graph autoencoder enhancing topological consistency in single-cell clustering
PPG-based blood pressure estimation can benefit from scalable multi-scale fusion neural networks and multi-task learning
ICycle-GAN: Improved cycle generative adversarial networks for liver medical image generation
Exponential gannet firefly optimization algorithm enabled deep learning for diabetic retinopathy detection
HCMUNet: A hybrid CNN and Mamba network for medical ultrasound image segmentation
Acoustic to kinematic projection in Parkinson's disease dysarthria
Enhancing skin feature detection and cosmetic simulation with dynamic PSO loss reweighting and confidence-gated Pix2Pix
PPGMotion: Model-based detection of motion artifacts in photoplethysmography signals
Blood pressure monitoring with piezoelectric bed sensor systems
Comparison of different functional connectives based on EEG during concealed information test
3D medical image segmentation based on group mixing dual attention
Performance of machine learning methods applied to structural MRI and ADAS cognitive scores in diagnosing Alzheimer's disease
Newborn jaundice determination by reflectance spectroscopy using multiple polynomial regression, neural network, and support vector regression
CWRNNet: A deep learning approach for embryo development stage classification using microscopic images
A Study of Double-Stage DMAS and p -DMAS for Their Relation in Baseband Ultrasound Beamforming
A dynamic submatrix-based P300 online brain-computer interface
Deep learning-based tumor segmentation and classification in breast MRI with 3TP method
A depthwise separable CNN-based interpretable feature extraction network for automatic pathological voice detection
Optimal NAS-MoE: optimized NASNet and MoE model for lung adenocarcinoma classification with explainable AI
TRUS image segmentation with non-parametric kernel density estimation shape prior
An Improved SLIC Algorithm for Segmentation of Microscopic Cell Images
Evaluating proximity metrics for gene expression data: A hybrid model integrating data mining and machine learning techniques for disease diagnosis systems
MitoSkel: AI tool for semantic segmentation and quantification of mitochondria from light microscopy images
CNN and multi-feature extraction based denoising of CT images
WGAN-BP: A blood pressure estimation method based on Wasserstein generative adversarial network
Predicting the progression of mild cognitive impairment based on fine-grained and spatiotemporal features of MRI
Brain tumor detection and classification using u-net and CNN with brain texture pattern analysis
A novel Nine-SequenceNet with attention for liver histopathological classification
PREHEAT: Precision heart rate monitoring from intense motion artifact corrupted PPG signals using constrained RLS and wavelets
Speckle reduction in medical ultrasound images using an unbiased non-local means method
Extraction of high-frequency SSVEP for BCI control using iterative filtering based empirical mode decomposition
Estimating the risk of obstructive sleep apnea during wakefulness using facial images: A review
Automatic detection and characterization of uterine contraction using Electrohysterography
Leveraging spatial-temporal convolutional features for EEG-based emotion recognition
A generalized coherence framework for quantifying input contributions in multi-input systems with correlated or uncorrelated inputs
Enhancing clinical data security with the contextual polynomial-based data protection model (CPDPM)
Facial muscle activations by functional electrical stimulation
Adaptive atrial fibrillation detection focused on atrial activity analysis
Imaging photoplethysmography quantifies endothelial dysfunction in patients with risk factors for cardiovascular complications
A systematic quantitative analysis on bipolar channel selection for EOG-based gaze displacement estimation
Tremor-related feature engineering for machine learning based Parkinson's disease diagnostics
Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imaging
Automatic detection of voice impairments from text-dependent running speech
Coarse-to-fine dot array marker detection with accurate edge localization for stereo visual tracking
Representing Temporal Network based on dDTF of EEG signals in Children with Autism and Healthy Children
A switching hybrid control method for automatic blood glucose regulation in diabetic Göttingen minipigs
Gender classification on digital dental x-ray images using deep convolutional neural network
Lung disease detection using EasyNet
Study of blood supply to functional brain areas under memory load based on bioimpedance technology
Software controlling algorithms for the system performance optimization of confocal laser scanning microscope
MDensNet201-IDRSRNet: Efficient cardiovascular disease prediction system using hybrid deep learning
Classification of High Frequency Oscillations in intracranial EEG signals based on coupled time-frequency and image-related features
Skin lesion segmentation from dermoscopic images by using Mask R-CNN, Retina-Deeplab, and graph-based methods
Surface myoelectric signal classification using the AR-GARCH model
Can a two-way CFD-FSI framework map branch-specific risk via a dynamic wall-function index in aortic arch calcification?
A multi-task hybrid emotion recognition network based on EEG signals
MDANet: Multimodal difference aware network for brain stroke segmentation
CT to ultrasound abdominal image synthesis using domain-constraint generative adversarial networks
An efficient reversible data hiding using SVD over a novel weighted iterative anisotropic total variation based denoised medical images
1D-FHRNet: Automatic Diagnosis of Fetal Acidosis from Fetal Heart Rate Signals
A windowing-based multi-view u-net for tumor segmentation in cone-beam breast CT
EEG-based cross-subject emotion recognition using multi-source domain transfer learning
Spatio-temporal representation learning with selective state space models for EEG-based depression detection
Novel wavelet domain Wiener filtering de-noising techniques: Application to bowel sounds captured by means of abdominal surface vibrations
Prediction of cardiac arrhythmia using deterministic probabilistic finite-state automata
BrainWaveDecoder: From raw EEG to SSVEP-BCI target selection via end-to-end deep learning
Novel algorithm for detection of cognitive dysfunction using neural networks
Ar-HGSO: Autoregressive-Henry Gas Sailfish Optimization enabled deep learning model for diabetic retinopathy detection and severity level classification
Embedded real-time feature extraction for electrode inversion detection in telemedicine electrocardiograms
A session-incremental broad learning system for motor imagery EEG classification
Personalized anomaly detection in PPG data using representation learning and biometric identification
GoldenFish Sentinel feature selection with SBM classifier for automatic seizure detection from EEG data
Intelligent tongue diagnosis model for gastrointestinal diseases based on tongue images
A deep learning spatial-temporal framework for detecting surgical tools in laparoscopic videos
A functional connectivity metric method for EEG time series via nonlinear symbolization
A novel steady-state visually evoked potential-based brain-computer interface design: Character Plotter
Detection of the common cold from speech signals using transformer model and spectral features
SNR improvement and range side lobe suppression in Golay-encoded Doppler detection for ultrasound high-frequency swept-scan imaging system