yusuke1997/dblp-id-title huggingface dataset:
Dynamical analysis of nonlinear combined drug therapy model for HIV infection: Bayesian regularization technique intelligent networks
An improved version of local activities estimation to enhance motor imagery classification
Time-resolved EEG signal analysis for motor imagery activity recognition
Diabetic retinopathy classification using a novel DAG network based on multi-feature of fundus images
Deep generative model with domain adversarial training for predicting arterial blood pressure waveform from photoplethysmogram signal
Speech signal analysis as an aid to clinical diagnosis and assessment of mental health disorders
CoST-UNet: Convolution and swin transformer based deep learning architecture for cardiac segmentation
Comparative evaluation of automated machine learning techniques for breast cancer diagnosis
CSGSA-Net: Canonical-structured graph sparse attention network for fetal ECG estimation
Mixed reality-based brain computer interface system using an adaptive bandpass filter: Application to remote control of mobile manipulator
A novel approach for color-balanced reference image selection for breast histology image normalization
The AV synchrogram: A novel approach to quantify atrioventricular coupling during atrial arrhythmias
Classification and analysis of cardiac arrhythmia based on incremental support vector regression on IOT platform
A mechatronic test-bench to investigate the impact of ventricular pulsation in hydrocephalus
A novel computational model for cerebral blood flow rate control mechanisms to evaluate physiological cases
Deep-stratification of the cardiovascular risk by ultrasound carotid artery images
Classification and detection of COVID-19 X-Ray images based on DenseNet and VGG16 feature fusion
Federated learning for melanoma detection: A decentralized and privacy-preserving approach using deep learning
Detection of muscle artifact epochs using entropy based M-DDTW technique in EEG signals
DSU-Net: Dual-Stage U-Net based on CNN and Transformer for skin lesion segmentation
Registration of 3D medical images based on unsupervised cooperative cascade of deep networks
Multi-threshold image segmentation using an enhanced fruit fly optimization for COVID-19 X-ray images
New characteristics in ECG induced by ultra-high altitude hypoxia
Rejection recognition deep fusion method of ResNet-attention-EfficientNet-b0-Transformer for brain tumor classification
Deep learning and spark architecture based intelligent brain tumor MRI image severity classification
Continuous estimation of upper limb joint angle from sEMG based on multiple decomposition feature and BiLSTM network
Acoustic therapies for tinnitus: The basis and the electroencephalographic evaluation
Yawn analysis with mouth occlusion detection
A new 3D MRI segmentation method based on Generative Adversarial Network and Atrous Convolution
Automated sleep spindle detection with mixed EEG features
Wrist and finger motion recognition via M-mode ultrasound signal: A feasibility study
Shape and texture based identification of glaucoma from retinal fundus images
Application of a reconstruction technique in detection of dominant SSVEP frequency
Brain tumor classification utilizing Triple Memristor Hopfield Neural Network optimized with Northern Goshawk Optimization for MRI image
A quantum convolutional network and ResNet (50)-based classification architecture for the MNIST medical dataset
UC-YOLOX: Enhancing urothelial carcinoma detection with an improved YOLOX architecture leveraging attention mechanisms
Estimation of absolute blood volume in hemodialysis patients: A numerical algorithm for assessing blood volume increase after dialysate bolus infusion
Promoting accuracy in low-magnification histopathology grading: With augmentation and multi-dilation model
Application of fractional Fourier transform in feature extraction from ELECTROCARDIOGRAM and GALVANIC SKIN RESPONSE for emotion recognition
Robust segmentation of vascular network using deeply cascaded AReN-UNet
Sex differences in mental rotation: Cortical functional connectivity using direct transfer function
CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans
Comparative analysis of predictive factors for variant pathogenicity in epilepsy research: A study based on the predictive gene-specific random forest (GRF) model
Enhanced feature vector reduction of S-transformed electroencephalography signal for optimal Parkinson's disease detection
Fusion enhancement for tracking of respiratory rate through intrinsic mode functions in photoplethysmography
Exploring the differences between five basic tastes and tasteless stimuli on brain responses in young adult males utilizing scalp electroencephalography
An implementation of independent component analysis for 3D statistical shape analysis
A broad network of subject integration: Based on slowness feature enhancement
A wavelet-based capsule neural network for ECG biometric identification
Graph weighting scheme for skin lesion segmentation in macroscopic images
Ultrasound tissue characterization based on the Lempel-Ziv complexity with application to breast lesion classification
Multi-scale interactive pyramid network for polyp segmentation
Mutated Aquila Optimizer for assisting brain tumor segmentation
A Conv -Transformer network for heart rate estimation using ballistocardiographic signals
Adaptive multiple zero-watermarking based on local fast quaternion radial harmonic Fourier moments for color medical images
Automated segmentation of optic disc and cup depicted on color fundus images using a distance-guided deep learning strategy
SAR-CGAN: Improved generative adversarial network for EIT reconstruction of lung diseases
Residual shallow convolutional neural network to classify microcalcifications clusters in digital mammograms
Reinforcement tokenization and graph convolution for high-precision breast tumor segmentation in DCE-MRI
A telehealth system framework for assessing knee-joint conditions using vibroarthrographic signals
On an automatic delineator for arterial blood pressure waveforms
Identifying multilayer differential core networks and effective discriminant features for driver fatigue detection
Weakly-supervised localization and classification of biomarkers in OCT images with integrated reconstruction and attention
Multicentric prototype and pseudo-labeling based source-free domain adaptation for Alzheimer's disease classification
GCN-Enhanced Spatial-Spectral Dual-Encoder Network for Simultaneous Segmentation of Retinal Layers and Fluid in OCT Images
A general model for multiphase texture segmentation and its applications to retinal image analysis
A robust quality estimation method for medical image segmentation with small datasets
Controlled variable selection with nonconvex regularization for identifying biomarkers
A lightweight multi-scale neural network for leg movement detection during sleep
Three-class ECG beat classification by ordinal entropies
Online detection and removal of eye blink artifacts from electroencephalogram
Novel 3-fold metal artifact reduction method for CT images
A multimodal ECG diagnostic framework based on ECG-QRS knowledge graphs and attention mechanisms: Enhancing clinical interpretability of ECG diagnostic classification
ECG signal denoising based on deep factor analysis
Three-section transmission-line arterial model for noninvasive assessment of vascular remodeling in primary hypertension
Translation of atherosclerotic disease features onto healthy carotid ultrasound images using domain-to-domain translation
An improved hybrid chameleon swarm algorithm for feature selection in medical diagnosis
A lightweight U-Net model for denoising and noise localization of ECG signals
EEG-CogNet: A deep learning framework for cognitive state assessment using EEG brain connectivity
Cepstral peak prominence: A comprehensive analysis
An efficient EEG signal classification technique for Brain-Computer Interface using hybrid Deep Learning
Deep learning for surface electromyography artifact contamination type detection
Prediction of weaning failure using time-frequency analysis of electrocardiographic and respiration flow signals
Statistical evaluation of reproducibility of automated ECG measurements: An example from arrhythmogenic right ventricular dysplasia/cardiomyopathy clinic
An instantaneous frequency and group delay based feature for classifying EEG signals
An empirical study of handcrafted and dense feature extraction techniques for lung and colon cancer classification from histopathological images
Skin cancer detection using dual optimization based deep learning network
Diagnosis and classification of congenital heart disease in infants based on Gated Swin-Transformer with Multi-scale Feature Fusion
A novel data acquisition and analyzing approach to spermiogram tests
DPD-Net: Dual-path Proposal Discriminative Network for abnormal cell detection in cervical cytology images
Analyzing lower body movements using machine learning to classify autistic children
Image denoising using 2-D wavelet algorithm for Gaussian-corrupted confocal microscopy images
Automatic cell nuclei segmentation and classification of cervical Pap smear images
LungXpertAI: A deep multi-task learning model for chest CT scan analysis and COVID-19 detection
Retinal blood vessel segmentation using root Guided decision tree assisted enhanced Fuzzy C-mean clustering for disease identification
Weighted graph convolutional network with feature mask for low back pain prediction
Ultrafast 3D segmentation of brain-wide optical neuronal volume
A novel imbalanced dataset mitigation method and ECG classification model based on combined 1D_CBAM-autoencoder and lightweight CNN model
Implementation of a field programmable gate array based transcranial Doppler ultrasound system using pulse compression techniques
Deep learning identification of coronary artery disease from bilateral finger photoplethysmography sensing: A proof-of-concept study
A quantum-inspired medical scalable convolutional neural network for Intelligent pneumonia diagnosis
An intelligent optimized deep learning model to achieve early prediction of epileptic seizures
Early diagnosis of neurodegenerative diseases using temporal inductive path neural network in medical imaging
Robust heart rate estimation from multimodal physiological signals using beat signal quality index based majority voting fusion method
Deep learning enabled hemorrhage detection in retina with DPFE and splat segmentation in fundus images
SFST: A robust framework for heart rate monitoring from photoplethysmography signals during physical activities
A prognosis-centric evaluation model for wearable sensor inputs in digital health intelligence
A three-stage network to capture sufficient multi-scale spatial information for skin lesion segmentation
PLNM-YOLO: Pelvic lymph node metastasis detection algorithm in gynaecological tumours based on edge-aware and multi-scale feature fusion
Personalized fusion of ultrasound and electromyography-derived neuromuscular features increases prediction accuracy of ankle moment during plantarflexion
Directionlet transform based sharpening and enhancement of mammographic X-ray images
Robust glottal activity detection using the phase of an electroglottographic signal
EEG dynamic noise floor measurement with stochastic flash A/D converter
Computerized detection of spina bifida using SVM with Zernike moments of fetal skulls in ultrasound screening
MPEDA-Net: A lightweight brain tumor segmentation network using multi-perspective extraction and dense attention
Multi-channel content based image retrieval method for skin diseases using similarity network fusion and deep community analysis
Development of a robotic orthosis for fingers flexion motion by surface myoelectric control: Open source prototype
Structure of Poincaré plots revealed by their graph analysis and low pass filtering of the RRI time series
Pre-processing techniques for improved detection of vocalization sounds in a neonatal intensive care unit
PatchBridgeNet: a patch-based deep feature extraction and classification model for automated retinal disease diagnosis from OCT images
Narrowband constraint-enhanced successive variational mode decomposition
Optimal oral drug dosing via application of the contraction mapping theorem
Learning DenseNet features from EEG based spectrograms for subject independent emotion recognition
Transform domain features for ion-channel signal classification
Harnessing the power of MAGRes-UNet with progressive cyclical convolutional neural networks for effective skin lesion segmentation in dermoscopic image analysis
Enhancing sleep disorder classification using machine learning and metaheuristic optimization techniques
Improved U-net MALF model for lesion segmentation in breast ultrasound images
Modulation of spatial variance of ventricular repolarization after myocardial infarction
FFT-based deep feature learning method for EEG classification
Automated heart disease prediction model by hybrid heuristic-based feature optimization and enhanced clustering
Computer modelling of beat-to-beat repolarization heterogeneity in human cardiac ventricles
DeformFlowNet: A deformable transformer with optical flow constraint for interventricular septum segmentation in echocardiography videos
Automated screening of COVID-19 using two-dimensional variational mode decomposition and locally linear embedding
MSCL-Net: Unleashing the power of multi-scale and cross-layer learning in pathology image classification
SCNet: A spatial feature fused convolutional network for multi-channel EEG pathology detection
Predicting mortality risk in the intensive care unit using a Hierarchical Inception Network for heterogeneous time series
Identification of DNA modification sites based on elastic net and bidirectional gated recurrent unit with convolutional neural network
Disentanglement of content and style features in multi-center cytology images via contrastive self-supervised learning
Sensor fusion in human blood pressure measurements using oscillometric and auscultatory principles: Error analysis and implementation
Fusing deep metric learning with KNN for 12-lead multi-labelled ECG classification
RHOAGCN: Residual n-hop omnipresent-attention graph convolution network for brain tumor diagnosis
In silico validation of a new model-based oral-subcutaneous insulin sensitivity testing through Monte Carlo sensitivity analyses
Weighted window attention and recover feature resolution-based network for deformable abdominal image registration
Automatic control of mean arterial pressure based on a baroreflex-feedback cardiovascular model
Automatic classification of speech dysfluencies in continuous speech based on similarity measures and morphological image processing tools
Accurate zone of inhibition measurement for rapid antimicrobial susceptibility testing
Attention augmented distance regression and classification network for nuclei instance segmentation and type classification in histology images
A deep learning approach for inter-patient classification of premature ventricular contraction from electrocardiogram
Comparative analysis of normal voice characteristics using simultaneous electroglottography and high speed digital imaging
Improving direction decoding accuracy during online motor imagery based brain-computer interface using error-related potentials
An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification
Electroencephalogram emotion recognition and analysis based on feature fusion and stable learning
Optimizing apnea-hypopnea event detection in pediatric OSAHS diagnosis: An enhanced genetic algorithm approach
Fractional WSD: Fractional war strategy dingo optimization with unified segmentation for detection of skin cancer
Atrial fibrillation detection using convolutional neural networks on 2-dimensional representation of ECG signal
Leveraging multimodal deep learning framework and a comprehensive audio-visual dataset to advance Parkinson's detection
Coarse-to-fine segmentation and ensemble convolutional neural networks for automated pediatric bone age assessment
DANNMCTG: Domain-Adversarial Training of Neural Network for multicenter antenatal cardiotocography signal classification
Elk Herd Taylor Optimizer-based Deep Kronecker Network for stroke detection using brain computed tomography images
Eff2Net: An efficient channel attention-based convolutional neural network for skin disease classification
A review of feature extraction and performance evaluation in epileptic seizure detection using EEG
Adaptive Bayesian filtering based restoration of MR images
A multiscale residual pyramid attention network for medical image fusion
Acute mental stress assessment via short term HRV analysis in healthy adults: A systematic review with meta-analysis
EEG Signal denoising using hybrid approach of Variational Mode Decomposition and wavelets for depression
DdeNet: A dual-domain end-to-end network combining Pale-Transformer and Laplacian convolution for sparse view CT reconstruction
Linear parameter-varying model to design control laws for an artificial pancreas
A coarse-to-fine deep learning framework for optic disc segmentation in fundus images
Acoustic Voice Quality Index and Acoustic Breathiness Index as two examples for strengths and weaknesses of free software in medicine
Content-based histopathological image retrieval using multi-scale and multichannel decoder based LTP
SRMADNet: Swin ResUnet3+-based mammogram image segmentation and heuristic adopted multi-scale attention based DenseNet for breast cancer detection
Enhancing rPPG pulse-signal recovery by facial sampling and PSD Clustering
MCMP-Net: MLP combining max pooling network for sEMG gesture recognition
Segmentation of skin lesion images using discrete wavelet transform
ICP-SWAn: A selective waveform analysis pipeline for conformal subpeak detection in intracranial pressure signals
A Unified Biosensor-Vision Multi-Modal Transformer network for emotion recognition
DIEN: A dual-factor iterative enhancement network with the global Re-calibration feature for coronary artery segmentation
Reconstruction of 3D surface maps from anterior segment optical coherence tomography images using graph theory and genetic algorithms
A comparison of neural networks algorithms for EEG and sEMG features based gait phases recognition
Invariant moments and transform-based unbiased nonlocal means for denoising of MR images
Automatic lung nodule detection system using image processing techniques in computed tomography
BPSSL: Balanced pseudo-label based semi-supervised learning for medical image classification
Multi-head consistent semi-supervised learning for lumbar CT segmentation
Linear non-conservative unsupervised domain adaptation for cross-subject EMG gesture recognition
Revisiting excitation pattern design for magnetic resonance imaging through optimisation of the signal contrast efficiency
Adversarial learning for deformable registration of brain MR image using a multi-scale fully convolutional network
Phonocardiogram: A robust algorithm for generating synthetic signals and comparison with real life ones
A new method to detect ventricular fibrillation from CPR artifact-corrupted ECG based on the ECG alone
Distinguishing between intra-genomic helitron families using time-frequency features and random forest approaches
An atrial fibrillation classification method based on an outlier data filtering strategy and modified residual block of the feature pyramid network
Comparative landmark detection on stops of dysarthric speech
Feature-enhanced multi-sequence MRI-based fusion mechanism for breast tumor segmentation
Designing GA based effective transmission strategies for intra-WBAN communication
A retinal vessel segmentation method based improved U-Net model
A new Autism Spectrum Disorder Discovery (ASDD) strategy using data mining techniques based on blood tests
Intelligent classification of antenatal cardiotocography signals via multimodal bidirectional gated recurrent units
An improved hawks optimizer based learning algorithms for cardiovascular disease prediction
Enhanced label constrained contrastive learning for chromosome optical microscopic image classification
A powerful Peripheral Arterial Disease detection using machine learning-based severity level classification model and hyper parameter optimization methods
Prostate cancer classification using adaptive swarm Intelligence based deep attention neural network
Response prediction of antidepressants: Using graph theory tools for brain network connectivity analysis
Pre-processed and combined EEG data for epileptic seizure classification using deep learning
An Enhanced Fuzzy Segmentation Framework for extracting white matter from T1-weighted MR images
Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX
Revealing stroke survivor gait deficits during rehabilitation using ensemble empirical mode decomposition of surface electromyography signals
Calibrated multi-view graph learning framework for infant cognitive abilities prediction
G2C-Net: Grade-Skewed domain adaptation network with coordinate and category attention for diabetic retinopathy grading
MBGCU: A precise segmentation network for the levator ani muscle and surrounding tissues
PCT: Pyramid convolutional transformer for parotid gland tumor segmentation in ultrasound images
MSEF-Net: A multi-scale EfficientNet Fusion for Diabetic Retinopathy grading
Interpretable deep automation system for graded diagnosis of diabetic retinopathy
An enhanced reversible patient data hiding algorithm for E-healthcare
A Fast Lane Approach to LMS prediction of respiratory motion signals
Using swallow sound and surface electromyography to determine the severity of dysphagia in patients with myasthenia gravis
MCU-RE: Integrating visual state space and local dependencies for retinal edema segmentation
Towards classification of patients based on surface EMG data of temporomandibular joint muscles using self-organising maps
A visual attention guided unsupervised feature learning for robust vessel delineation in retinal images
Modified Locust Swarm optimizer for oral cancer diagnosis
Nonintrusive objective measurement of speech intelligibility: A review of methodology
Lower limb joint angle estimation based on surface electromyography signals
Learning-based EEG rhythm analysis for the enhancement of motor imagery-based brain-computer interface performance
High-density surface EMG signal quality enhancement via optimized filtering technique for amputees' motion intent characterization towards intuitive prostheses control
Alzheimer's diseases diagnosis using fusion of high informative BiLSTM and CNN features of EEG signal
Research of magnetic particle imaging reconstruction based on the elastic net regularization
SleepViTransformer: Patch-based sleep spectrogram transformer for automatic sleep staging
On the assessment and evaluation of voice hoarseness
Adaptive notch-filtration to effectively recover photoplethysmographic signals during physical activity
Genetic algorithm-based method for mitigating label noise issue in ECG signal classification
Diagnosis of shockable rhythms for automated external defibrillators using a reliable support vector machine classifier
Breast UltraSound Image classification using fuzzy-rank-based ensemble network
A new clinical diagnosis system for detecting brain tumor using integrated ResNet_Stacking with XGBoost
Dynamic chest Electrical Impedance Tomography with mixed statistical shape reconstruction
Real-time application based CNN architecture for automatic USCT bone image segmentation
Epileptic seizure prediction based on a residual capsule network with multidimensional electroencephalography feature fusion
An unsupervised deep learning network model for artifact correction of cone-beam computed tomography images
Barker coded excitation with linear frequency modulated carrier for ultrasonic imaging
Identification of characteristics frequency and hot-spots in protein sequence of COVID-19 disease
Improving the detection of auditory steady-state responses near 80 Hz using multiple magnitude-squared coherence and multichannel electroencephalogram