yusuke1997/dblp-id-title huggingface dataset:
Constructing group sequential tests with data monitoring
A deep temporal network for motor imagery classification based on multi-branch feature fusion and attention mechanism
Feature reweighting for EEG-based motor imagery classification
ARSA-UNet: Atrous residual network based on Structure-Adaptive model for retinal vessel segmentation
Cross-view identification based on gait bioinformation using a dynamic densely connected spatial-temporal feature decoupling network
Prediction of atrial fibrillation inducibility using spatiotemporal activation analysis combined with network mapping
Colon cancer stage detection in colonoscopy images using YOLOv3 MSF deep learning architecture
Estimation of spectral components of auditory steady-state response using least squares and phase compensation for objective response detectors
SMRFnet: Saliency multi-scale residual fusion network for grayscale and pseudo color medical image fusion
Deep learning for pneumonia detection from X-ray: A systematic review of models, datasets, and clinical translation challenges
A novel interpretable feature set optimization method in blood pressure estimation using photoplethysmography signals
Adaptive speckle reduction in ultrasound images using fuzzy logic on Coefficient of Variation
Motion Artifact Removal from EEG Signals Using the Motion-Net Deep Learning Algorithm
Enhancing online education recommendations through clustering-driven deep learning
Fuzzy, synergetic and non-linear state feedback control of chemotherapy drug for a cancerous tumor
MDFE-Net: Multiscale dense feature extraction CNN for brain tumor classification from MRIs
How many channels are suitable for independent component analysis in motor imagery brain-computer interface
Real-time tracking of radial artery vessel wall using a Kalman filter-based ultrasound single-plane wave RF signal time-frequency information fusion algorithm
Clinical study on the application of a high-sensitivity electronic nose on thin-film gas sensor array technology combined with deep learning algorithm for early non-invasive diagnosis of chronic atrophic gastritis
Human beatbox sound recognition using an automatic speech recognition toolkit
Diagnostic prediction of autism spectrum disorder using complex network measures in a machine learning framework
DSP-based arrhythmia classification using wavelet transform and probabilistic neural network
A matched dual-tree wavelet denoising for tri-axial swallowing vibrations
Exploring multi-b-value diffusion-weighted imaging for more accurate prostate segmentation and uncertainty estimation
A novel vision-efficient Grad-CAM network for early breast cancer detection using multi-scale histopathological image analysis
FPGA-based real-time epileptic seizure classification using Artificial Neural Network
APP-Net: A physics-constrained joint prior-guided network for CBCT metal artifact reduction
Deep vein thrombosis detection via combination of neural networks
Using a multichannel Wiener filter to remove eye-blink artifacts from EEG data
Enhancing personalized blood glucose prediction in type 1 diabetes with meta-transfer learning: A few-shot approach
Strategically annotating rare disease samples to improve semi-supervised learning in long-tailed medical image classification
Reconstruction of incomplete surface electromyography based on an adversarial autoencoder network
The effect of musk incense stick aroma inhalation on different features of electroencephalogram signals and working memory for use in neurofeedback training
Dynamic training protocol improves the robustness of PR-based myoelectric control
Temporal super-resolution of 2D/3D echocardiography using cubic B-spline interpolation
Automated detection and mapping of electrical activation when electrogram morphology is complex
Interaction-guided speech tensor representation for dysphagia screening
An augmented Snake Optimizer for diseases and COVID-19 diagnosis
Image translation for medical image generation: Ischemic stroke lesion segmentation
Privacy-preserving ECG data collection for arrhythmia classification
Challenges and artificial intelligence solutions for clinically optimal hepatic venous vessel segmentation
Unsupervised automatic online spike sorting using reward-based online clustering
Modeling focused kV X-ray dose kernels via 3D implicit neural functions for small animal brain radiation
Visual heart rate estimation and negative feedback control for fitness exercise
ViT-LLMR: Vision Transformer-based lower limb motion recognition from fusion signals of MMG and IMU
MMS-Net: Multi-level multi-scale feature extraction network for medical image segmentation
From radial to aortic pressure: In silico data-driven estimation using an autoencoder
A decision support system for automated diagnosis of Parkinson's disease from EEG using FAWT and entropy features
CraftNet: A deep learning ensemble to diagnose cardiovascular diseases
MHSA-enhanced CNNs with TOPSIS-driven ensemble learning for automated diabetic retinopathy grading
Adaptive channel-weight dual-constrained semi-supervised EEG clustering
A deep learning model for depression detection based on MFCC and CNN generated spectrogram features
Deep neural network based missing data prediction of electrocardiogram signal using multiagent reinforcement learning
Weight-sharing network structure based on multi-channel EEG time-frequency map
Wasserstein generative adversarial network for cough signal augmentation using modified discrete cosine transform representation
SINet: A hybrid deep CNN model for real-time detection and segmentation of surgical instruments
Comparative study of predictors of hypotensive efficacy of laser peripheral iridotomy and lensectomy in patients with primary anterior chamber angle closure based on machine learning methods
Application of CNN-LSTM feature fusion architecture based on self-made data glove in gesture recognition
Optimal color channel combination across skin tones for remote heart rate measurement in camera-based photoplethysmography
Joint attention mechanism learning to facilitate opto-physiological monitoring during physical activity
Accurate Multimodal Liver Registration of 3D Ultrasound and CT Volume: An Open Dataset and a Model Fusion Method
Enhanced ultrasound strain imaging using chirp-coded pulse excitation
A robust unsupervised epileptic seizure detection methodology to accelerate large EEG database evaluation
Comparison of the hemodynamic filtering methods and particle filter with extended Kalman filter approximated proposal function as an efficient hemodynamic state estimation method
Assessing the impact of degree of fusion and muscle fibre twitch shape variation on the accuracy of motor unit discharge time identification from ultrasound images
Multi-atlas based neonatal brain extraction using a two-level patch-based label fusion strategy
Effects of transcutaneous electrical nerve stimulation on evoked tactile sensation for fingertip force control
Artificial intelligence system for verification of schizophrenia via theta-EEG rhythm
Temporal super resolution of ultrasound images using compressive sensing
LRCTNet: A lightweight rectal cancer T-staging network based on knowledge distillation via a pretrained swin transformer
Identification of auditory cues utilized in human echolocation - Objective measurement results
Design and implementation of low-power, high-speed, reliable and secured Hardware Accelerator using 28 nm technology for biomedical devices
A design of computational stochastic framework for the mathematical severe acute respiratory syndrome coronavirus model
Epileptic seizure detection in EEG signals using normalized IMFs in CEEMDAN domain and quadratic discriminant classifier
Cyclostationary approach to Doppler radar heart and respiration rates monitoring with body motion cancelation using Radar Doppler System
Mathematical modelling of sleep fragmentation diagnosis
Brain tumor detection with bi-directional cascade Gaussian kernel feature-generative adversarial networks
MRFANet: Massive retinopathy feature aggregation network for pixel-level diabetes-induced lesion detection from fundus images
Individualized closed-loop control of propofol anesthesia: A preliminary study
Da-resbigru -brain tumor classification using Dual attention residual bi directional gated recurrent unit using MRI images
Alpha band neurofeedback training based on a portable device improves working memory performance of young people
An end-to-end deep learning framework for the automated diagnosis of OPLL in CT images
Spatio-temporal graph Bert network for EEG emotion recognition
Electrohysterography extracted features dependency on anthropometric and pregnancy factors
Dissecting the latent representation of age inside a deep neural network's predictions of diastolic dysfunction using echocardiographic variables
ROSE-Net: Leveraging remote photoplethysmography to estimate oxygen saturation using deep learning
Convolutional neural network with coarse-to-fine resolution fusion and residual learning structures for cross-modality image synthesis
Shearlet-based texture feature extraction for classification of breast tumor in ultrasound image
Derived vectorcardiogram based automated detection of posterior myocardial infarction using FBSE-EWT technique
MFEVM-UNet: Multi-scale Feature Fusion and Enhancement Vision Mamba UNet for medical image segmentation
Resonance phenomenon during wrist pulse-taking: A stochastic simulation, model-based study of the 'pressing with one finger' technique
The Respiratory Fluctuation Index: A global metric of nasal airflow or thoracoabdominal wall movement time series to diagnose obstructive sleep apnea
Integration of multiscale fusion of residual neural network with 2-D gramian angular fields for lower limb movement recognition based on multi-channel sEMG signals
Intra- and Inter-Modality Interactions Region Alignment Fusion for Alzheimer's disease diagnosis
CSNet: A deep learning approach for ECG compressed sensing
Deep learning CS-ResNet-101 model for diabetic retinopathy classification
An automatic Computer-Aided Diagnosis system based on the Multimodal fusion of Breast Cancer (MF-CAD)
Segmentation of PET/CT lung cancer lesion images via a semi-supervised improved SwinUNet model
EFEMNet: An efficient feature extraction multi-attention convolutional neural network for skin lesion segmentation
DaCSeg: Divide and conquer for accurate overlapping chromosome instance segmentation in metaphase cell images
Towards unobtrusive sleep stage classification in preterm infants using machine learning
Exploring different computational methods for the High-Frequency band of HRV to capture information related to RSA
CervixFuzzyFusion for cervical cancer cell image classification
The functional brain network based on the combination of shortest path tree and its application in fatigue driving state recognition and analysis of the neural mechanism of fatigue driving
Detection of intra-beat waves on ambulatory ECG using manifolds: An explainable deep learning approach
A Multi-Component Attention Graph Convolutional Neural Network Optimized by the Gooseneck Barnacle Algorithm for High-Precision ECG Arrhythmia Classification in Sensor-Based Biomedical Systems
Automatic epileptic EEG detection using convolutional neural network with improvements in time-domain
Active learning in latent spaces for long-term ECG monitoring: Morphology and rhythm analysis
High-through cell micronucleus image detection method combining multi-attention mechanism and YOLOv5
A chaotic partial centroid opposition-based Gorilla Troops Optimizer approach for solving breast DCE MRI registration problem for breast tumor progression
Real-time embedded ECG anomaly detection system with comparative analysis of CWT-based transfer learning performance across electrode types
Invasive mechanical ventilation probability estimation using machine learning methods based on non-invasive parameters
Application of two-dimensional ultrasound based on transfer deep learning in diagnosis of levator ani muscle avulsion
Speckle filtering of ultrasonic images using a modified non local-based algorithm
Medical image fusion using a modified shark smell optimization algorithm and hybrid wavelet-homomorphic filter
Automated temporal lobe epilepsy and psychogenic nonepileptic seizure patient discrimination from multichannel EEG recordings using DWT based analysis
Assessment of delayed ventricular activation after myocardial infarction
Computationally efficient optic nerve head detection in retinal fundus images
Squeeze-Inception V3 with Slime Mould algorithm-based CNN features for lung cancer detection
A simple realtime algorithm for automatic external defibrillator
A hybrid model for efficient cervical cell classification
An explainable AI for breast cancer classification using vision Transformer (ViT)
Segmentation and classification of brain tumors from MRI images based on adaptive mechanisms and ELDP feature descriptor
Multi-task self-supervised learning framework via contrastive restoration for sleep apnea syndrome detection using single-lead ECG
Differential diagnosis of Parkinson and essential tremor with convolutional LSTM networks
Multiscale convolution block U-Net for automatic epidermis segmentation in immunofluorescence images
An improved BCI-VR hybrid interactive system based on a mixed template CCA method
Enhancing fNIRS data analysis with a novel motion artifact detection algorithm and improved correction
TF2AngleNet: Continuous finger joint angle estimation based on multidimensional time-frequency features of sEMG signals
Enhancing cross-subject transfer performance for SSVEP identification using small data-based transferability evaluation
Automated quality evaluation of Cervical Cytopathology Whole Slide Images based on content analysis
Single-cell RNA sequencing reveals intratumor heterogeneity and prognostic contributions of γδ T cells in hepatocellular carcinoma
Automatic minimization of ocular artifacts from electroencephalogram: A novel approach by combining Complete EEMD with Adaptive Noise and Renyi's Entropy
Improved online event detection and differentiation by a simple gradient-based nonlinear transformation: Implications for the biomedical signal and image analysis
A methodological approach to classify typical and atypical pigment network patterns for melanoma diagnosis
Improved parallel MR imaging with accurate coil sensitivity estimation using iterative adaptive support
Bridging minds and limbs: novel hybrid deep learning approach for low-cost EEG-based lower limb motor imagery classification
Noninvasive continuous blood pressure estimation with fewer parameters based on RA-ReliefF feature selection and MPGA-BPN models
Human body model with blood flow properties for non-invasive blood glucose measurement
A frequency-weighted method combined with Common Spatial Patterns for electroencephalogram classification in brain-computer interface
Deep learning-based spatiotemporal action recognition in football using I3D and TSN with pose estimation
A framework of heart sound noise reduction using multi-channel structure
Continuous thickness measurement of rectus femoris muscle in ultrasound image sequences: A completely automated approach
Dynamic effective connectivity network based on change points detection
An improved scheme for passive cavitation imaging in high intensity focused ultrasound
Collective spectral pattern complexity analysis of voicing in normal males and larynx cancer patients following radiotherapy
Assessment of muscle fatigue during isometric contraction using autonomic nervous system correlates
Automatic vessel segmentation in X-ray angiogram using spatio-temporal fully-convolutional neural network
Mapping nonlinear brain dynamics by phase space embedding with fMRI data
Automatic diagnosis of glaucoma using two-dimensional Fourier-Bessel series expansion based empirical wavelet transform
A robust QRS complex detection using regular grammar and deterministic automata
Robust identification of QRS-complexes in electrocardiogram signals using a combination of interval and trigonometric threshold values
Revolutionizing breast cancer diagnosis with a comprehensive approach using digital mammogram-based feature extraction and selection for early-stage identification
Heart disease prediction using spark architecture with fused feature set and hybrid Squeezenet-Linknet model
External lighting and sensing photoglottography: Characterization and MSePGG algorithm
CFI-ViT: A coarse-to-fine inference based vision transformer for gastric cancer subtype detection using pathological images
A multimodal cross-attention-based CNN-LSTM network for arrhythmia classification and clinical diagnostic support
Texture feature based classification on microscopic blood smear for acute lymphoblastic leukemia detection
An investigation of effects of a non-repetitive preferred music on physiological responses amongst a group of chronic tinnitus patients
Combined information from AFM imaging and SHG signal analysis of collagen thin films
Do not sleep on traditional machine learning: Simple and interpretable techniques are competitive to deep learning for sleep scoring
Comparison of fine-tuned single-source and multi-source approaches to surface electromyogram pattern recognition
Decoding transient sEMG data for intent motion recognition in transhumeral amputees
Deep manifold learning for the reconstruction of spatiotemporal neural activity in brain cortex using electroencephalography signals
CMF defects database: A craniomaxillofacial defects dataset and a data-driven repair method
A deep learning based approach for automatic cardiac events identification
KDPhys: An attention guided 3D to 2D knowledge distillation for real-time video-based physiological measurement
Leveraging discriminative features for automatic sleep stage classification based on raw single-channel EEG
Evaluation of blood flow velocity envelope in common carotid artery for reference data
MFMANet: Multi-feature Multi-attention Network for efficient subtype classification on non-small cell lung cancer CT images
Automated classification of glaucoma stages using higher order cumulant features
A VR-based BCI interactive system for UAV swarm control
Patch-based deep multi-modal learning framework for Alzheimer's disease diagnosis using multi-view neuroimaging
A model to assess dengue using type 2 fuzzy inference system
Noise reduction in intracranial pressure signal using causal shape manifolds
Interfering sensed input classification model using assimilated whale optimization and deep Q-learning for remote patient monitoring
A smartphone-based tool for screening diabetic neuropathies: A mHealth and 3D printing approach
A recurrent skip deep learning network for accurate image segmentation
Fundamental frequency tracking in diplophonic voices
GLSNet: A Global Guided Local Feature Stepwise Aggregation Network for polyp segmentation
Optimising approximate entropy for assessing cardiac dyssynchrony with radionuclide ventriculography
Using DeepGCN to identify the autism spectrum disorder from multi-site resting-state data
Speech Intelligibility for Cochlear Implant Users with the MMSE Noise-Reduction Time-Frequency Mask
A new approach for physical human activity recognition from sensor signals based on motif patterns and long-short term memory
Elastic net ensemble classifier for event-related potential based automatic spelling
D-Net: Dynamic large kernel with dynamic feature fusion for volumetric medical image segmentation
EEG motor imagery classification using dynamic connectivity patterns and convolutional autoencoder
Thoughts of brain EEG signal-to-text conversion using weighted feature fusion-based Multiscale Dilated Adaptive DenseNet with Attention Mechanism
Recent developments in segmentation of COVID-19 CT images using deep-learning: An overview of models, techniques and challenges
An automatic classification approach for preterm delivery detection based on deep learning
Automatic electrocardiogram detection and classification using bidirectional long short-term memory network improved by Bayesian optimization
A customized framework for coronary artery disease detection using phonocardiogram signals
Classification of chronic myeloid leukemia neutrophils by hyperspectral imaging using Euclidean and Mahalanobis distances
A deep learning strategy for EMG-based joint position prediction in hip exoskeleton assistive robots
Depressformer: Leveraging Video Swin Transformer and fine-grained local features for depression scale estimation
Attention-based multiple-instance learning for Pediatric bone age assessment with efficient and interpretable
Deep learning algorithm for room temperature detection using bioelectric potential of plant data
TSAA-Net: Triple-semantic-aware attention network for colorectal cancer grading from histology images
Highly secured EHR management system based on blockchain technology with digitally signed authentication using data sanitization and polynomial interpolation
Feature analysis and automatic classification of B-mode ultrasound images of fatty liver
PrivLet: A differential privacy and inverse wavelet decomposition framework for secure and optimized hemiplegic gait classification
Peripheral pulse multi-Gaussian decomposition using a modified artificial bee colony algorithm
An efficient nonlinear explicit model predictive control to regulate blood glucose in type-1 diabetic patient under parametric uncertainties
Multi-site seismocardiographic measurements for the estimation of cardiac output in patients with aortic stenosis
Effective simulation of nonlinear soft tissue deformation for interactive medical applications: An enhanced XPBD technique
Adaptive zero-learning medical image fusion
An inertial sensing mechanism for measuring gait parameters and gait energy expenditure
Heat illness detection with heart rate variability analysis and anomaly detection algorithm
Phase detection of multi-beat 3D echocardiogram using a novel AB-system deep-learning framework with confidence level
Automatic epileptic seizure detection with an ultra lightweight 3D-CNN model
Tuberculosis chest X-ray detection using CNN-based hybrid segmentation and classification approach
Combining spectral total variation with dynamic threshold neural P systems for medical image fusion
Analysis and modelling of glucose metabolism in diabetic Göttingen minipigs
Predictability of baroreflex sensitivity induced by phenylephrine injection via frequency domain indices computed from heart rate and systolic blood pressure signals during deep breathing
L1-norm based discriminative spatial pattern for single-trial EEG classification
Automatic detection of Alzheimer's disease from EEG signals using low-complexity orthogonal wavelet filter banks
Boosting-LDA algriothm with multi-domain feature fusion for motor imagery EEG decoding
A fully connected neural Network-based voltage compensation method for accurate reconstruction in brain electrical impedance tomography
Automated generation of chest X-ray imaging diagnostic reports by multimodal and multi granularity features fusion
PDCA-Net: Parallel dual-channel attention network for polyp segmentation
A novel automated seizure detection system from EMD-MSPCA denoised EEG: Refined composite multiscale sample, fuzzy and permutation entropies based scheme
Bayesian optimized GoogLeNet based respiratory signal prediction model from empirically decomposed gammatone visualization
Investigation and comparison of ECG signal sparsity and features variations due to pre-processing steps
A deep learning framework for ECG denoising and classification
Automated detection of melanocytes related pigmented skin lesions: A clinical framework
DWT-based FDRC for continuous pace tracking of an LSTM-based predictive pacemaker
CL-MRI: Self-Supervised contrastive learning to improve the accuracy of undersampled MRI reconstruction
Enhanced cardiovascular disease classification using the mayfly algorithm and real-time data
Subject, session and task effects on power, connectivity and network centrality: A source-based EEG study
Evaluating and comparing performance of feature combinations of heart rate variability measures for cardiac rhythm classification
Epileptic seizure identification using entropy of FBSE based EEG rhythms