yusuke1997/dblp-id-title huggingface dataset:
Speed and accuracy in Tandem: Deep Learning-Powered Millisecond-Level pulmonary embolism detection in CTA
A novel method using Covid-19 dataset and machine learning algorithms FOR THE MOST ACCURATE DIAGNOSIS that can be obtained in medical diagnosis
Multi-residual attention network for skin lesion classification
Factorial phase analysis of ventricular contraction using equilibrium radionuclide angiography images
Depression recognition base on acoustic speech model of Multi-task emotional stimulus
Automatic sleep-stage classification based on residual unit and attention networks using directed transfer function of electroencephalogram signals
Shuffle parallel convolutional neural network for shoulder X-ray image classification
Qualitative analysis of PD-L1 expression in non-small-cell lung cancer based on chest CT radiomics
Analysis of epileptic seizures based on EEG using recurrence plot images and deep learning
Entropy-based analysis and classification of acute tonic pain from microwave transcranial signals obtained via the microwave-scattering approach
Fine-tuned design of the PIDFFD2F control strategy for the functional electrical stimulation system using dandelion optimizer
Cuff-less continuous measurement of blood pressure using wrist and fingertip photo-plethysmograms: Evaluation and feature analysis
MAE-EEG-Transformer: A transformer-based approach combining masked autoencoder and cross-individual data augmentation pre-training for EEG classification
Abnormal heart sound detection using temporal quasi-periodic features and long short-term memory without segmentation
Recognizing drowsiness in young men during real driving based on electroencephalography using an end-to-end deep learning approach
Prediction of brain age based on the community structure of functional networks
DIFusion: Multimodal medical image fusion based on detail preservation and invertible neural networks
Co-contraction activity of ankle muscles during walking: A gender comparison
Can patients in deep coma hear us? Examination of coma depth using physiological signals
Semi-supervised medical image segmentation method using multi-scale consistency adversarial learning
FDGNet: A pair feature difference guided network for multimodal medical image fusion
Denoising of dynamic PET images using a multi-scale transform and non-local means filter
Low-complexity wireless monitoring of respiratory movements using ultra-wideband impulse response estimation
Understanding the complex interplay of persistent and antipersistent regimes in animal movement trajectories as a prominent characteristic of their behavioral pattern profiles: Towards an automated and robust model based quantification of anxiety test data
Identification of movement-related cortical potentials with optimized spatial filtering and principal component analysis
Exploration of face-perceptual ability by EEG induced deep learning algorithm
A review on cephalometric landmark detection techniques
Handwritten signatures verification based on arm and hand muscles synergy
Vision-BioLLM: Large vision language model for visual dialogue in biomedical imagery
Heart rate variability feature selection method for automated prediction of sudden cardiac death
Beating-heart robotic surgery using bilateral impedance control: Theory and experiments
An advanced machine learning approach for high accuracy automated diagnosis of otitis media with effusion in different age groups using 3D wideband acoustic immittance
System identification for T1D via artificial intelligence algorithms: Evolutionary or swarm
How do sEMG segmentation parameters influence pattern recognition process? An approach based on wearable sEMG sensor
NSD-Net: An automatic assessment framework for nasal septum deviation based on landmark detection
Clustering approach based on psychometrics and auditory event-related potentials to evaluate acoustic therapy effects
A novel approach to estimate blood pressure of blood loss continuously based on stacked auto-encoder neural networks
Time-locked and phase-locked features of P300 event-related potentials (ERPs) for brain-computer interface speller
Quantitative analysis of live lymphocytes morphology and intracellular motion in microscopic images
SuperMini-seg: An ultra lightweight network for COVID-19 lung infection segmentation from CT images
A minimal algorithm for a minimal recruitment model-model estimation of alveoli opening pressure of an acute respiratory distress syndrome (ARDS) lung
Automated breast cancer diagnosis optimized with higher-order attribute-enhancing heterogeneous graph neural networks using mammogram images
Dynamic modeling and feedback control of a Venturi adapter for CPAP
An adaptive thresholding method for the wavelet based denoising of phonocardiogram signal
Microbe-Drug association prediction based on attention networks and improved Inductive matrix Completion
Detection of inferior myocardial infarction based on multi branch hybrid network
Robust segmentation of exudates from retinal surface using M-CapsNet via EM routing
A resolution enhancement plug-in for deformable registration of medical images
Automatic sleep stage classification: From classical machine learning methods to deep learning
The utility of electroencephalographic measures in obsession compulsion disorder
DREAM: A novel explainable neural network for detecting sleep apnea using single-lead ECG signals
Brain tumor segmentation with corner attention and high-dimensional perceptual loss
A new approach to medical image fusion based on the improved Extended difference-of-Gaussians combined with the Coati optimization algorithm
A novel five-term 3D chaotic system with two squared nonlinearities and its secure communication application for biomedical data
Kalman filter soft sensor to handle signal quality loss in closed-loop controlled anesthesia
DEO-Fusion: Differential evolution optimization for fusion of CNN models in eye disease detection
Precise sparse-view dental crown reconstruction via 3D Gaussian neural fields
Robust neutrosophic fusion design for magnetic resonance (MR) brain images
An enhanced tree-seed algorithm for global optimization and neural architecture search optimization in medical image segmentation
Estimating uterine activity from electrohysterogram measurements via statistical tensor decomposition
Increased quality of vision by innovative intraocular lens and human eye modeling
Multi-scale network for medical image segmentation integrated with edge perception
Stacked ensembles for one-step and multi-step ahead BGL forecasting
AOFNet: A novel cerebral hemorrhage segmentation network based on anatomical-omics feature
A stochastic model of voice generation and the corresponding solution for the inverse problem using Artificial Neural Network for case with pathology in the vocal folds
Continuous knee joint angle prediction with surface EMG
MetaXAI: Metahuman-assisted audio and visual explainability framework for Internet of Medical Things
Direct point-based registration for precise non-rigid surface matching using Student's-t mixture model
Adaptive radial basis functions based Time-Varying model for EEG analysis in patients with cervical dystonia
DP-FViT: Differentially private federated vision transformer with LoRA for secure and accurate medical image classification
A novel ensemble local graph structure based feature extraction network for EEG signal analysis
Alert system design based on experimental findings from long-term unobtrusive monitoring in COPD
Time-frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities
Attention enabled precise haemoglobin prediction: A GNN based non-invasive approach
Modified-MaMeMi filter bank for efficient extraction of brainwaves from electroencephalograms
Deep-learning model for the prediction of lower-limb joint moments using single inertial measurement unit during different locomotive activities
A centralized multi-objective model predictive control for a biventricular assist device: An in silico evaluation
Topological feature search method for multichannel EEG: Application in ADHD classification
Corrigendum to "Broad learning system stacking with multi-scale attention for the diagnosis of gastric intestinal metaplasia" [Biomed. Signal Process. Control 73 (2022) 103476]
Prediction of rhinitis based on label-links classifier chain using feature-block
Mammography and ultrasound based dual modality classification of breast cancer using a hybrid deep learning approach
The domain knowledge based graph-cut model for liver CT segmentation
A single-channel EEG based automatic sleep stage classification method leveraging deep one-dimensional convolutional neural network and hidden Markov model
Autonomous collection of voiding events for sound uroflowmetries with machine learning
An image despeckling approach using quantum-inspired statistics in dual-tree complex wavelet domain
Preoperative path planning of craniotomy surgical robot based on improved MDP-LQR-RRT* algorithm
Content-based medical image retrieval using deep learning-based features and hybrid meta-heuristic optimization
Explainable AI based efficient ensemble model for breast cancer classification using optical coherence tomography
Unified multi-protocol MRI for Alzheimer's disease diagnosis: Dual-decoder adversarial autoencoder and ensemble residual shrinkage attention network
A fuzzy deep learning ECG signal classification method via Wavelet-RL and rough set decision-making
Novel finger movement classification method based on multi-centered binary pattern using surface electromyogram signals
Electroencephalography signals-based sparse networks integration using a fuzzy ensemble technique for depression detection
Investigation of deep convolutional neural network for classification of motor imagery fNIRS signals for BCI applications
Radiology report generation from a singular perspective using transformers with Knowledge Distillation
Automatic food intake detection based on swallowing sounds
Motor imagery EEG signal classification based on deformable convolution v3 and adaptive spatial attention mechanism
Detection of hyperglycemia and hypoglycemia using deep learning from facial images obtained with an AI image generator
A priori knowledge based frequency-domain quantification of prostate Magnetic Resonance Spectroscopy
Contour-induced parallel graph reasoning for liver tumor segmentation
A multi-scale anomaly detection framework for retinal OCT images based on the Bayesian neural network
Deep feature selection using adaptive β-Hill Climbing aided whale optimization algorithm for lung and colon cancer detection
An explainable attention-based TCN heartbeats classification model for arrhythmia detection
An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods
Online automatic detection of phrenic nerve activation during cryoablation procedure for atrial fibrillation treatment
An efficient two-step multi-organ registration on abdominal CT via deep-learning based segmentation
Applications of wearable inertial sensors in estimation of upper limb movements
Deep hybrid architectures for binary classification of medical breast cancer images
Zero-watermark scheme for medical image protection based on style feature and ResNet
Incremental model of relevance in features with healthcare data analytics
Uncertainty estimation of deep learning models for atrial fibrillation detection from Holter recordings: A benchmark study
Croup and pertussis cough sound classification algorithm based on channel attention and multiscale Mel-spectrogram
A new approach of multi-modal medical image fusion using intuitionistic fuzzy set
Objective and subjective assessment of envelope enhancement algorithms for assistive hearing devices
Automatic diagnosis of ECG disease based on intelligent simulation modeling
Application of trilateration and Kalman filtering algorithms to track dynamic brain deformation using sonomicrometry
Multi-modality of polysomnography signals' fusion for automatic sleep scoring
RAG-msCNN: predicting protein-DNA binding sites by integration of retrieval-augmented generation (RAG) with protein language models and the multi-scale separable convolutional neural network
Prior-guided local geometric modeling vessel segmentation network for OCT images
TER-Net: Eye state analysis based on multi-scale feature extraction and full channel weighted coordinate attention deformable convolutional networks
A human-machine interface based on single channel EOG and patchable sensor
New methodology for repetitive sequences identification in human X and Y chromosomes
A novel approach for decomposition of biomedical signals in different applications based on data-adaptive Gaussian average filtering
TE-YOLOF: Tiny and efficient YOLOF for blood cell detection
Fatigue and non-fatigue mathematical muscle models during functional electrical stimulation of paralyzed muscle
A distance robust EOG-based feature for gaze trajectory inference
A multi-task deep learning framework for perineural invasion recognition in gastric cancer whole slide images
Shock advisory tool: Detection of life-threatening cardiac arrhythmias and shock success prediction by means of a common parameter set
A novel layered data reduction mechanism for clustering fMRI data
A correlation analysis between passively assessed gait initiation signal data and brain tumours progress
Attention graph convolutional nets for esophageal contraction pattern recognition in high-resolution manometries
Signal processing techniques applied to human sleep EEG signals - A review
J-LOUCR: Joint learned optimized undersampling and constrained reconstruction for accelerated MRI by reference-driven deep image prior
Dynamic personalized human body energy expenditure: Prediction using time series forecasting LSTM models
Extending convolutional neural networks for localizing the subthalamic nucleus from micro-electrode recordings in Parkinson's disease
A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images
A comparative study on deep learning architectures for a classification of photothrombotic damaged regions in histopathological rabbit brain images
Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns
A comparison of EOG baseline drift mitigation techniques
Medical priors-guided feature learning network on multimodal imaging raw data for brain tumor segmentation
Fine DenseNet based human personality recognition using english hand writing of non-native speakers
The performance impact of data augmentation in CSP-based motor-imagery systems for BCI applications
Chromosome analysis method based on deep learning: Counting chromosomes and detecting abnormal chromosomes
A lightweight method for precise small lesion detection in diabetic retinopathy
An effective PSR-based arrhythmia classifier using self-similarity analysis
Novel microwave apparatus for breast lesions detection: Preliminary clinical results
Advanced EEG-based brain monitoring for early detection of harmful neural activities using EfficientNet architecture
Exosomal circ-CTNNB1 derived from colorectal cancer cells induces N2 polarization of neutrophils to promote colorectal cancer cell growth and immune escape
CNN-Autoformer: Automated EEG-based seizure detection and localization using hybrid deep learning
Lesion size of early cerebral infarction on a Non-Contrast CT influences detection ability in Cascade Mask Region-Convolutional neural networks
Adaptive auxiliary diffusion for multi-modal brain tumor segmentation with random missing modalities
Developing a treatment for neurogenic bladder dysfunction using Model Predictive Control (MPC)
DSEM: Gene pathway and histology dual-stage enhanced fusion model for survival prediction
Gaussian mixture model in clustering acoustic emission signals for characterizing osteoarthritic knees
GCNPMDA: Human microbe-disease association prediction by hierarchical graph convolutional network with layer attention
A novel pruning-enhanced hybrid approach for efficient and accurate brain tumor diagnosis
Alzheimer's classification using dynamic ensemble of classifiers selection algorithms: A performance analysis
Identification of exon locations in DNA sequences using a fractional digital anti-notch filter
Detection of cardiac arrhythmias from ECG signals using FBSE and Jaya optimized ensemble random subspace K-nearest neighbor algorithm
Multistatic radar-based imaging in layered and dispersive media for biomedical applications
WUTrans: Whole-spectrum unilateral-query-secured transformer for 4D CBCT reconstruction
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma
Development of a hybrid mental spelling system combining SSVEP-based brain-computer interface and webcam-based eye tracking
COVID-19 CT image denoising algorithm based on adaptive threshold and optimized weighted median filter
A novel analytical method to measure intra-individual variability of steady-state evoked potentials; new insights into attention deficit
Orthogonal subspace projection based framework to extract heart cycles from SCG signal
BMFNet: A boundary-aware multi-scale fusion network for accurate breast tumor segmentation
Effect of repetitive transcranial magnetic stimulation on fronto-posterior and hemispheric asymmetry in depression
MTAF-Net: Multi-task learning for automated glioma segmentation and IDH genotyping in multi-parametric MRI
Spatiotemporal feature disentanglement for quality surveillance of left ventricular echocardiographic video using ST-R(2 + 1)D-ConvNeXt
Enhancing Wireless Capsule Endoscopy images from intense illumination specular reflections using the homomorphic filter
Robust cell segmentation based on gradient detection, Gabor filtering and morphological erosion
IHC-IS4BC: A supervised dataset for pathological image segmentation based on IHC-staining slides of breast cancer
Individualization of a vectorcardiographic model by a particle swarm optimization
Optic disc detection in the presence of strong technical artifacts
From local to global: A hierarchical spatial-frequency Bi-patch Mamba network for EEG-based emotion recognition
A fully automatic model for premature ventricular heartbeat arrhythmia classification using the Internet of Medical Things
Acoustic analysis and digital signal processing for the assessment of voice quality
Automated diagnosis of plus disease in retinopathy of prematurity based on transformer-based unsupervised curriculum learning
Breast cancer detection and diagnosis using hybrid deep learning architecture
Scattering convolutional network based predictive model for cognitive activity of brain using empirical wavelet decomposition
Attention deficit/hyperactivity disorder Classification based on deep spatio-temporal features of functional Magnetic Resonance Imaging
EEG-assisted modulation of sound sources in the auditory scene
Enhancing the efficacy of hormone therapy in prostate cancer through Conditional Super-Twisting Sliding Mode Control and Redfox optimization
Local discriminative spatial patterns for movement-related potentials-based EEG classification
Cross-session classification of mental workload levels using EEG and an adaptive deep learning model
FB-ZWUNet: A deep learning network for corpus callosum segmentation in fetal brain ultrasound images for prenatal diagnostics
Design of a fuzzy-based proportional integral derivative controller with optimal membership function scaling for respiratory ventilation system
DPAF-Net: DualPath-Attention with hierarchical cross-scale feature fusion for 3D brain tumor segmentation
Research on steady-state visual evoked brain-computer interface based on moving stimuli
Brain lesion classification using 3T MRS spectra and paired SVM kernels
Evaluation of the sensitivity of a medical data-mining application to the number of elements in small databases
An SVD-based method for DBS artifact removal: High-fidelity restoration of local field potential
Compact seizure detection based on spiking neural network and support vector machine for efficient neuromorphic implementation
Breast tumor segmentation in digital mammograms using spiculated regions
Melanoma skin cancer detection and classification using cycle-consistent simplicial adversarial attention adaptation networks with banyan tree growth optimization in medical image processing
EBT Deep Net: Ensemble brain tumor Deep Net for multi-classification of brain tumor in MR images
Adaptive fuzzy back-stepping control of drug dosage regimen in cancer treatment
Sleep staging using semi-unsupervised clustering of EEG: Application to REM sleep behavior disorder
PCG classification through spectrogram using transfer learning
On the design of a flexible stimulator for animal studies in auditory prostheses
Tri-correcting: Label noise correction via triple CNN ensemble for carotid plaque ultrasound image classification
KDMSNet: KAN-driven multiscale synergy network for lung nodule segmentation
Corrigendum to "Advanced competent Bayesian regularization neural network for mathematical modeling of the immune diabetes regulation system". [Biomed. Sign. Proc. Contr. 113, Part A (2026) 1-12/ 1-s2.0-S1746809425015472]
Enhancing disease diagnosis accuracy and diversity through BA-TLBO optimized ensemble learning
Uncertainty estimation in the classification of histopathological images with HER2 overexpression using Monte Carlo Dropout
Early stage brain tumor prediction using dilated and Attention-based ensemble learning with enhanced Artificial rabbit optimization for brain data
Lung-YOLO: Multiscale feature fusion attention and cross-layer aggregation for lung nodule detection
Creating the Hu-Int dataset: A comprehensive Arabic speech dataset for gender detection and age estimation of Arab celebrities
Continuous blood pressure monitoring using photoplethysmography and electrocardiogram signals by random forest feature selection and GWO-GBRT prediction model
Real-time, simultaneous myoelectric control using visual target-based training paradigm
An efficient optimized deep learning model for the risk prediction of arterial stiffness in diabetes patients
Automatic snore sound extraction from sleep sound recordings via auditory image modeling
Autonomous localization and segmentation for body composition quantization on abdominal CT
Pattern of EEG voltage and oscillations under stimulation of Mozart's music and white noise for visual learning process
SES-Glass: A Smart Eye Sensor based Wearable Retinal Glass for AMD disease classification via bi-directional CNN
An image augmentation approach using two-stage generative adversarial network for nuclei image segmentation
Study of phase synchronization in multichannel seizure EEG using nonlinear recurrence measure
Intelligent classification of antepartum cardiotocography model based on deep forest
A federated learning approach for classifying chest diseases from chest X-ray images
Deep neural networks generalization and fine-tuning for 12-lead ECG classification
Quantifying swimming activities using accelerometer signal processing and machine learning: A pilot study
Prediction of response to robot-aided motor neuro-rehabilitation of children with cerebral palsy
Long-term prediction of blood pressure time series using ANFIS system based on DKFCM clustering
BMO based improved Lite Swin transformer for brain tumor detection using MRI images
Accurate identification of anxiety and depression based on the dlPFC in an emotional autobiographical memory task: A machine learning approach
Fast denoising of multi-channel transcranial magnetic stimulation signal based on improved generalized mathematical morphological filtering
Segmentation of differential structures on computed tomography images for diagnosis lung-related diseases
RFSC: Multimodal medical image alignment fusion diagnostic classification network based on de discriminator image translation
A lightweight hybrid CNN-LSTM explainable model for ECG-based arrhythmia detection
Identification of mental fatigue levels in a language understanding task based on multi-domain EEG features and an ensemble convolutional neural network