yusuke1997/dblp-id-title huggingface dataset:
Altered effective brain network topology in tinnitus: An EEG source connectivity analysis
2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data
Automatic detection of spindles and K-complexes in sleep EEG using switching multiple models
Cerebral hemorrhage segmentation with energy functional based on anatomy theory
Patch-based interpretable deep learning framework for Alzheimer's disease diagnosis using multimodal data
Advanced artificial intelligence-based classification of corneal layers using residual self-attention and dilated convolutional networks: enhancing biomedical signal processing
Fatigue assessment in multi-activity manual handling tasks through joint angle monitoring with wearable sensors
A real-time screening system for diabetic retinopathy grading using a novel multi-scale feature extraction through retinal fundus images
Explainability based Panoptic brain tumor segmentation using a hybrid PA-NET with GCNN-ResNet50
Image encoding and wearable sensors-based locomotion mode recognition using convolutional recurrent neural networks
Fractal characteristics-based motor dyskinesia assessment
A multi-channel ECG signal deep compressive sensing method using Treeshaped Autoecoder based on multiscale feature fusion
Ensemble of kernel extreme learning machine based random forest classifiers for automatic heartbeat classification
Spatial-temporal attention enhanced high-ratio EEG compression using deep variational autoencoder and arithmetic coding
Differential CNN and KELM integration for accurate liver cancer detection
Classification of glaucoma using hybrid features with machine learning approaches
MAST-UNet: More adaptive semantic texture for segmenting pulmonary nodules
Distribution of equal states for amplitude fluctuations in epileptic EEG
Effect of selection bias on Automatic Colonoscopy Polyp Detection
SCZ-SCAN: An automated Schizophrenia detection system from electroencephalogram signals
A-RANSAC: Adaptive random sample consensus method in multimodal retinal image registration
Dimensionality effect of myoelectric-controlled interface on the coordination of agonist and antagonist muscles during voluntary isometric elbow flexion and extension
Deep learning for anterior segment OCT angiography automated denoising and vascular quantitative measurement
DCM-Net: A novel dual-branch CNN-Mamba cross-layer feature fusion network for medical image segmentation
Lesion identification in fundus images via convolutional neural network-vision transformer
Graph embedding dimensionality reduction combined with improved APO optimized kELM for pneumonia recognition
DBFRNet: A dual-branch feature refinement network based on Pyramid Vision Transformer for polyp segmentation
A novel medical text classification model with Kalman filter for clinical decision making
Effective EMG denoising using a hybrid model based on WAT and GARCH
ssvEEGc: An efficient EEG clustering method using balance-constrained voting mechanism
Metaheuristic optimized time-frequency features for enhancing Alzheimer's disease identification
DMC-Net: Lightweight Dynamic Multi-scale and Multi-resolution convolution network for pancreas segmentation in CT images
Supervised piecewise network connectivity analysis for enhanced confidence of auditory oddball tasks
Medical image segmentation model based on multi-scale fusion and feature reconstruction convolution
MMMViT: Multiscale multimodal vision transformer for brain tumor segmentation with missing modalities
Arrhythmia classification using ECG signal: A meta-heuristic improvement of optimal weighted feature integration and attention-based hybrid deep learning model
Multi-scale Perception and Feature Refinement Network for multi-class segmentation of intracerebral hemorrhage in CT images
Arrhythmia disease classification utilizing ResRNN
Multi-distance fluctuation based dispersion fractal for epileptic seizure detection in EEG signal
xU-NetFullSharp: The Novel Deep Learning Architecture for Chest X-ray Bone Shadow Suppression
A hybrid deep learning approach using XceptionNet and vision transformer for accurate chest disease detection from X-ray images
Deformable brain pMRI-iUS registration based on higher-order cliques Markov random field
Exploring functional near-infrared spectroscopy and transfer learning for discriminating major depressive disorder and generalized anxiety disorder
CPIA dataset: a large-scale comprehensive pathological image analysis dataset for self-supervised learning pre-training
DPC-Net: Dense Pyramid CAViaR Network for gastric cancer detection with lymph node segmentation using histopathological image
Heterogeneous soft tissue deformation model based on cellular neural networks: Application in pulmonary hamartomas surgery
Multilevel mental stress detection using ultra-short pulse rate variability series
UMF-Net: A UNet-based multi-branch feature fusion network for colon polyp segmentation
Meta-RL-Driven hemodynamic control in a mock circulatory loop for precision cardiovascular medicine
A novel electroencephalography based approach for Alzheimer's disease and mild cognitive impairment detection
Novel seizure detection algorithm based on multi-dimension feature selection
A new EEG determinism analysis method based on multiscale dispersion recurrence plot
Linear parameter varying model of COVID-19 pandemic exploiting basis functions
Novel approach to human walking speed enhancement based on drift estimation
Optimal feature selection for medical image fusion using deep learning with transformer
Enhancing COVID-19 diagnosis from lung CT scans using optimized quantum-inspired complex convolutional neural network with ResNeXt-50
Continuous monitoring of acute myocardial infarction with a 3-Lead ECG system
Haematopoietic cell clusters quantification using image analysis
Topological analysis of overlapping dynamic brain networks under naturalistic stimuli based on sparse non-negative matrix factorization algorithm
A Improved Hybrid Attention Recurrent Residual U-Net approach for the segmentation of ultrasound spine images
StaBloCare: Blockchain-secured diabetes monitoring system using stacked deep learning
A novel 3D feature fusion network for EEG emotion recognition
Research on the application of the Sleep EEG Net model based on domain adaptation transfer in the detection of driving fatigue
Improved multiscale permutation entropy for biomedical signal analysis: Interpretation and application to electroencephalogram recordings
An objective quality indicator for evaluating filtering of microscopic video in CASA system
The correlation of vectorcardiographic changes to blood lactate concentration during an exercise test
D2AFNet: A dual-domain attention cascade network for accurate and interpretable atrial fibrillation detection
Improved characterization of HRV signals based on instantaneous frequency features estimated from quadratic time-frequency distributions with data-adapted kernels
Hilbert domain characterizations of wavelet packets for automated heart sound abnormality detection
Layered vasculature segmentation of color conjunctival image based on wavelet transform
Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction
Polar representation-based cell nucleus segmentation in non-small cell lung cancer histopathological images
Development of a heart rate detection algorithm using a non-contact doppler radar via signal elimination
Decoding muscle force from individual motor unit activities using a twitch force model and hybrid neural networks
Robust classification of neovascularization using random forest classifier via convoluted vascular network
Autism spectrum disorder diagnosis using the relational graph attention network
Classification of depression tendency from gaze patterns during sentence reading
CCE-Net: A rib fracture diagnosis network based on contralateral, contextual, and edge enhanced modules
CrodenseNet: An efficient parallel cross DenseNet for COVID-19 infection detection
A novel method for detecting ST segment elevation myocardial infarction on a 12-lead electrocardiogram with a three-dimensional display
A Multi-View learning approach to enhance automatic 12-Lead ECG diagnosis performance
Evidence-based clinical engineering: Machine learning algorithms for prediction of defibrillator performance
Multi-scale transitions of fuzzy sample entropy of RR-intervals and their phase-randomized surrogates: A possibility to diagnose congestive heart failure
HydraViT: Adaptive multi-branch transformer for multi-label disease classification from Chest X-ray images
Emotion recognition using EEG phase space dynamics and Poincare intersections
ECG bio-identification using Fréchet classifiers: A proposed methodology based on modeling the dynamic change of the ECG features
EAD-DNN: Early Alzheimer's disease prediction using deep neural networks
Computer Aided Diagnosis of lung cancer using deep learning techniques
Interpretation of lung disease classification with light attention connected module
Multi-fractal DFA analysis of masseter muscles SEMG signal in patients with TMD, pilot study
Dermo-DOCTOR: A framework for concurrent skin lesion detection and recognition using a deep convolutional neural network with end-to-end dual encoders
An Empirical Mode Decomposition approach for automated diagnosis of migraine
A novel pre-processing technique in pathologic voice detection: Application to Parkinson's disease phonation
A novel method for removing Rician noise from MRI based on variational mode decomposition
MGSN: Depression EEG lightweight detection based on multiscale DGCN and SNN for multichannel topology
Semi-supervised multi-task learning for interpretable quality assessment of fundus images
Automated classification of non-motor mental task in electroencephalogram based brain-computer interface using multivariate autoregressive model in the intrinsic mode function domain
Enhancing multi-paradigm EEG signal classification in cross-subject settings using optimal transport
A comparison between power spectral density and network metrics: An EEG study
Machine learning-based approach for identifying mental workload of pilots
Character encoding based on occurrence probability enhances the performance of SSVEP-based BCI spellers
Individual EEG super-resolution via ADMM-based coupled matrix decomposition towards long-term brain monitoring
PsyneuroNet architecture for multi-class prediction of neurological disorders
Automatic axial vertebral rotation estimation on radiographs for adolescent idiopathic scoliosis by deep learning
AgileFormer: Spatially agile and scalable transformer for medical image segmentation
Dual teacher model for semi-supervised ABUS tumor segmentation
Dual attention-guided and learnable spatial transformation data augmentation multi-modal unsupervised medical image segmentation
Robotic arm controlling based on a spiking neural circuit and synaptic plasticity
Mammographic image segmentation and risk classification based on mammographic parenchymal patterns and geometric moments
Deep learning based retinal disease classification using an autoencoder and generative adversarial network
Frequency-domain active contours solution to evaluate intima-media thickness of the common carotid artery
A novel study to classify breath inhalation and breath exhalation using audio signals from heart and trachea
An EEG signal encryption algorithm based on dual-composite IT-ICMIC chaotic map and adaptive non-uniform partition
VisionDeep-AI: Deep learning-based retinal blood vessels segmentation and multi-class classification framework for eye diagnosis
Multiscale SVD entropy for the analysis of gait dynamics
Explainable AI for automatic heart disease diagnosis using 3DFMMecg features: A novel ECG-based approach
Redundancy reduced depthwise separable convolution for glaucoma classification using OCT images
Rat swarm political optimizer based deep learning approach for lung lobe segmentation and lung cancer detection using CT images
Integrating relational and sequential information for enhanced detection of autoimmune disorders with relational Neural Networks and Long Short-Term Memory networks
Cross-dataset motor imagery decoding - A transfer learning assisted graph convolutional network approach
Morphology properties of scapular spine relative to reverse shoulder arthroplasty: A biomechanical study
Honey Badger Aquila optimization-based deep learning with multi-kernel shape index histograms for diabetic macular edema classification
A dual-stream deep neural network integrated with adaptive boosting for sleep staging
Noise level estimation for effective blind despeckling of medical ultrasound images
Multi-scale GC-T2: Automated region of interest assisted skin cancer detection using multi-scale graph convolution and tri-movement based attention mechanism
Analyzing the performance of segmented trajectory reconstruction of lower limb movements from EEG signals with combinations of electrodes, gaps, and delays
Prostate cancer recognition based on mass spectrometry sensing data and data fingerprint recovery
Microcontroller-based acquisition system for evoked otoacoustic emissions: Protocol and methodology
Locomotion transition prediction at Anticipatory Locomotor Adjustment phase with SHAP feature selection
Archetypal physiological responses to prolonged wakefulness
Cutting-edge CNN-based skin cancer detection with batch normalization and advanced imbalance learning for superior medical image classification
Reference-free adaptive filtering of extracellular neural signals recording in ultra-high field magnetic resonance imaging scanners: Removal of periodic interferences
Improved motor imagery brain-computer interface performance via adaptive modulation filtering and two-stage classification
Subspace based Multiple Constrained Minimum Variance (SMCMV) beamformers
ECG-derived respiration estimation from single-lead ECG using gaussian process and phase space reconstruction methods
Identification of full-night sleep parameters using morphological features of ECG signals: A practical alternative to EEG and EOG signals
Interlayer information fusion-based and dual-attention improved U-Net for ABVS image sequence intelligent tumor segmentation
Reviewing methods of deep learning for intelligent healthcare systems in genomics and biomedicine
'Joining the dots!'
An empirical study on optic disc segmentation using an active contour model
HRSHO: A hybrid rain optimized spotted hyena optimizer for efficient feature selection in CNN-based sinusitis classification
Dual-Domain Inter-Frame Feature Enhancement Network for cardiac MR image reconstruction
Prediction of pathological tremor using adaptive multiple oscillators linear combiner
Advancing neonatal care: Nomograms and machine learning models for neonatal respiratory failure prediction in twin pregnancy
GPU accelerated stratified squamous epithelium biopsy image segmentation for OSCC detector and classifier
3D reconstruction of brain tumors from 2D MRI scans: An improved marching cube algorithm
Complexity quantification of signals from the heart, the macrocirculation and the microcirculation through a multiscale entropy analysis
Validation of iterative multi-resolution method for partial volume correction and quantification improvement in PET image
RA-TSNet: A lightweight region-aware network for high-accuracy pediatric tooth segmentation in dental X-ray
A novel approach for automatic tumor detection and localization in mammography images via mixture of factor analyzers based on co-clustering
SCS-SLSP: Hard uncertain pixels mining and utilization for semi-supervised cardiac image segmentation using subjective logic theory and subset prototype generation
Local temporal common spatial patterns modulated with phase locking value
Combined empirical mode decomposition and phase space reconstruction based psychologically stressed and non-stressed state classification from cardiac sound signals
A novel multimodality based dual fusion integrated approach for efficient and early prediction of glaucoma
A hybrid method for the decoding of spatial attention using the MEG brain signals
Standard ECG lead I prospective estimation study from far-field bipolar leads on the left upper arm: A neural network approach
SAM-OCTA: Prompting segment-anything for OCTA image segmentation
Deep and dense convolutional neural network for multi category classification of magnification specific and magnification independent breast cancer histopathological images
Integral pulse frequency modulation model driven by sympathovagal dynamics: Synthetic vs. real heart rate variability
STILN: A novel spatial-temporal information learning network for EEG-based emotion recognition
Machine learning-based classification of simple drawing movements in Parkinson's disease
Respiratory rate estimation from photoplethysmogram baseline wandering by harmonic analysis and sequential fusion
Foetal heart rate estimation by empirical mode decomposition and MUSIC spectrum
Multichannel EEG compression based on ICA and SPIHT
Cuffless blood pressure estimation based on composite neural network and graphics information
An effective AI integrated system for neuron tracing on anisotropic electron microscopy volume
Predicting physical fatigue in athletes in rope skipping training using ECG signals
Digital infrared thermal imaging system based breast cancer diagnosis using 4D U-Net segmentation
Skip-connected 3D DenseNet for volumetric infant brain MRI segmentation
Interpretable deep learning framework for multi-label ECG classification: Enhancing cardiac diagnostics through feature attention and explainability
A sensorless, physiologic feedback control strategy to increase vascular pulsatility for rotary blood pumps
Integrated TSVM-TSK fusion for enhanced EEG-based epileptic seizure detection: Robust classifier with competitive learning
SAA-Net: U-shaped network with Scale-Axis-Attention for liver tumor segmentation
Automated sleep breath disorders detection utilizing patient sound analysis
Analysis and classification of speech imagery EEG for BCI
NhoodSorter: An automatic and robust spike sorting method
Toward an automatic detection of cardiac structures in short and long axis views
Hybrid deep learning approaches for the detection of diabetic retinopathy using optimized wavelet based model
Towards gastric cancer pathological segmentation: A large-scale whole-slide images dataset and dual-stream mask guided attention U-net
A novel approach with YOLO filter and normal slice attention for the diagnosis of anterior cruciate ligament injury
Can an initial phoneme-based algorithm improve automatic naming latency detection during picture naming tasks? A feasibility study
ATUN-MDC image registration: Performance enhancement of medical image registration using adaptive TransUNet with multi-dilated convolution model
Estimation of muscle fiber conduction velocity from two-dimensional surface EMG recordings in dynamic tasks
Low frequency constant-phase behavior in the respiratory impedance
Deep learning for detecting dilated or contracted pupils
A comprehensive approach for high intensity blood flow signal classification using multi-scale spectrogram fusion and tunable Q-factor wavelet analysis
Deep convolutional neural network optimized with hybrid marine predator's and nomadic people optimization for cardiac arrhythmia classification using ECG signals
A slow feature based LSTM network for susceptibility assessment of acute mountain sickness with heterogeneous data
Accurate apnea and hypopnea localization in PSG with Multi-scale object detection via Dual-modal Feature Learning
MAFA-TransUNet: Multi-scale attention and feature aggregation with transformer U-Net for liver tumor segmentation
Arithmetic success and gender-based characterization of brain connectivity across EEG bands
Continuous limb joint angle prediction from sEMG using SA-FAWT and Conv-BiLSTM
Estimation of the hemoglobin concentration and the anatomic structure of muscle by analyzing the near infrared scattering images
Development of SVM based classification techniques for the delineation of wave components in 12-lead electrocardiogram
KansNet: Kolmogorov-Arnold Networks and multi slice partition channel priority attention in convolutional neural network for lung nodule detection
Generalized EMG-based isometric contact force estimation using a deep learning approach
DAGU-Net: Cascaded multi-scale aware network based on dual attention grouping module for medical image segmentation
Breast cancer diagnosis from histopathology images using deep neural network and XGBoost
Deep rhythm and long short term memory-based drowsiness detection
QRS complex detection using fractional Stockwell transform and fractional Stockwell Shannon energy
Magnification and localization of vessels in robotic surgical videos based on accuracy High-Order Phase-Based Video Magnification
Recognition of lower limb movements using empirical mode decomposition and k-nearest neighbor entropy estimator with surface electromyogram signals
Detection of cells in urine sediment by using YOLOv7 segmentation model
ADCFormer: A hybrid model of Adaptive Depth-wise Convolution and Transformer for retinal macular edema segmentation in OCT images
Optimized multi-dimensional attention spiking neural network for pneumonia detection in chest x-ray images
Comparison of the muscle activation pattern for the vastus lateralis before and after an 8-week resistance training program
Grading diffuse glioma based on 2021 WHO grade using self-attention-base deep learning architecture: variable Vision Transformer (vViT)
Blood vessel detection based on fractional Hessian matrix with non-singular Mittag-Leffler Gaussian kernel
Myoelectric pattern recognition of hand motions for stroke rehabilitation
The impact of total sleep deprivation upon supine and head up tilt hemodynamics using non-linear analysis in firefighters
Computer-aided detection of breast cancer on the Wisconsin dataset: An artificial neural networks approach
NeiRNet: Neighborhood regularized network for retinal artery and vein classification in ultra-wide-field imaging
ECG compression retaining the best natural basis k-coefficients via sparse decomposition
Examination of a spectral-based ultrasonic analysis method for materials characterization and evaluation
Wavelet and fast bilateral filter based de-speckling method for medical ultrasound images
A novel shaped ultrawideband fractal antenna for medical purposes
A convolution and attention-based conditional adversarial domain adaptation neural network for emotion recognition using electroencephalography
Incomplete label error correction and group joint learning for gland segmentation
Improving diagnosis accuracy of non-small cell lung carcinoma on noisy data by adaptive group lasso regularized multinomial regression
Enhanced-TransUNet for ultrasound segmentation of thyroid nodules
An interval type-2 fuzzy approach for real-time EEG-based control of wrist and finger movement
Multi-granularity scale-aware networks for hard pixels segmentation of pulmonary nodules
Mixed emotion recognition and priming effect on cognitive control
ECG steganography using curvelet transform
Multi-modal brain image fusion using multi feature guided fusion network
Selection of relevant features for EEG signal classification of schizophrenic patients
EfficientSkinDis: An EfficientNet-based classification model for a large manually curated dataset of 31 skin diseases
Computationally validated nonlinear control of leukemia chemotherapy using barrier-based super-twisting sliding mode with IGWO optimization
Entropy-based analysis of rhythmic tapping for the quantitative assessment of cerebellar ataxia
Fine-grained interactive attention learning for semi-supervised white blood cell classification
Time domain baroreflex sensitivity assessment by joint analysis of spontaneous SBP and RR series
TDABNet: Three-directional attention block network for the determination of IDH status in low- and high-grade gliomas from MRI
SSO-RBNN driven brain tumor classification with Saliency-K-means segmentation technique
Spatio-Temporal correspondence attention network for vessel segmentation in X-ray coronary angiography