yusuke1997/dblp-id-title huggingface dataset:
Optimization of inter-subject sEMG-based hand gesture recognition tasks using unsupervised domain adaptation techniques
Stably and reliably targeting parietal-hippocampal function connectivity for personalized transcranial magnetic stimulation: A pilot study
Combining hybrid spiking neuron with inception module for motor imagery classification
Explainable melanoma detection using SE-ViT-based generative networks for imbalanced data
SAGSleepNet: A deep learning model for sleep staging based on self-attention graph of polysomnography
WLFS: Weighted label fusion learning framework for glioma tumor segmentation in brain MRI
Actual, sham and no-feedback effects in motor imagery practice
Detection of coronary artery disease using a triplet network and hybrid loss function on heart sound signal
A blood cell classification method based on MAE and active learning
Learning a robust unified domain adaptation framework for cross-subject EEG-based emotion recognition
A persistent homology gait analysis for Parkinson disease characterization
A deep learning approach to cardiovascular disease classification using empirical mode decomposition for ECG feature extraction
Lesion-specific exposure parameters for breast cancer diagnosis on digital breast tomosynthesis and full-field digital mammography
Voice quality assessment and monitoring: Understanding vocal folds dynamics and its relationships to neurocognition
CSwinDoubleU-Net: A double U-shaped network combined with convolution and Swin Transformer for colorectal polyp segmentation
Optimization of preprocessing stage in EEG based BCI systems in terms of accuracy and timing cost
Optic disc and cup segmentation methods for glaucoma detection using twin- inception transformer hinge attention network with cycle consistent convolutional neural network
VNLU-Net: Visual Network with Lightweight Union-net for Acute Myeloid Leukemia Detection on Heterogeneous Dataset
Optimal deep learning neural network using ISSA for diagnosing the oral cancer
CardioDefense: Defending against adversarial attack in ECG classification with adversarial distillation training
Detection of pulmonary arterial hypertension associated with congenital heart disease based on time-frequency domain and deep learning features
Dual attention based network for skin lesion classification with auxiliary learning
ASO-DKELM: Alpine skiing optimization based deep kernel extreme learning machine for elderly stroke detection from EEG signal
VVBPNet: Deep learning model in view-by-view backprojection (VVBP) domain for sparse-view CBCT reconstruction
Pivotal region and optimized deep neuro fuzzy network for autism spectrum disorder detection
Unsupervised feature selection by kernel density estimation in wavelet-based spike sorting
Prediction of the pneumonia from the CT lung images by using the multiband google NET CNN
CWC-MP-MC Image-based breast tumor classification using an optimized Vision Transformer (ViT)
Medical image synthesis algorithm based on vision graph neural network with manifold matching
Dynamic point-cloud based motion tracking of small joint segments: accuracy and reliability evaluation against a high-precision robotic system
Automatic sleep scoring using patient-specific ensemble models and knowledge distillation for ear-EEG data
HAGCN: A hybrid-order brain network-based graph convolution learning framework with multi-head attention for brain disorder classification
Interstitial fluid glucose time-lag correction for real-time continuous glucose monitoring
Global Partition with Local Enhancement network for multitask learning of malignant melanoma
Test time adaptation for cross-domain sleep stage classification
Non-contact-based driver's cognitive load classification using physiological and vehicular parameters
Development of flexible piezoelectric sole with wireless communication for medical application
Data-driven estimation for uphill continuous rehabilitation motion at different slopes using sEMG
A customized nonlocal restoration schemes with adaptive strength of smoothening for magnetic resonance images
Explainable tele-ultrasound diagnosis of blast lung injury via incremental multimodal multistage fusion and video transformer
Calibration free meta learning based approach for subject independent EEG emotion recognition
Arrhythmia detection model using modified DenseNet for comprehensible Grad-CAM visualization
A versatile end-to-end deep learning framework for improved full-automatic MRI hemodynamic parameter estimation
Evaluation and amelioration of computer-aided diagnosis with artificial neural networks utilizing small-sized sample sets
Detect, Grow, Seg: A weakly supervision method for medical image segmentation based on bounding box
Denoising of multichannel MCG data by the combination of EEMD and ICA and its effect on the pseudo current density maps
Application of continuous relative phase analysis for differentiation of gait in neurodegenerative disease
Skin cancer detection using Kernel Fuzzy C-means and Developed Red Fox Optimization algorithm
Improved fetal heartbeat detection using pitch shifting and psychoacoustics
Enhanced deep bottleneck transformer model for skin lesion classification
Nonlinear SDRE based adaptive fuzzy control approach for age-specific drug delivery in mixed chemotherapy and immunotherapy
Continuous estimation of joint angle from electromyography using multiple time-delayed features and random forests
Motor imagery EEG classification based on flexible analytic wavelet transform
Time/frequency events of surface mechanomyographic signals resolved by nonlinearly scaled wavelets
Micro-expression recognition based on EEG signals
Enhancing the identification of autism spectrum disorder in facial expressions using DenseResNet-Based transfer learning approach
SAFP-Net: A spatially augmented feature pyramid network for automatic detection of microaneurysms
CRCCN-Net: Automated framework for classification of colorectal tissue using histopathological images
Unsupervised medical image synthesis based on multi-branch attention structure
Enhancing wrist abnormality detection with YOLO: Analysis of state-of-the-art single-stage detection models
An explainable spatio-temporal graph convolutional network for the biomarkers identification of ADHD
FedCSCD-GAN: A secure and collaborative framework for clinical cancer diagnosis via optimized federated learning and GAN
Experimental study of water/tissue conductivity variation under 1 MHz HIFU radiation
Piecewise empirical mode Bayesian estimation - A new method to denoise electrooculograms
Detection of medial vascular calcification in chronic kidney disease based on pulse wave analysis in the frequency domain
BioVoice: A multipurpose tool for voice analysis
Classification of diabetic retinopathy based on Functional Linked Neural network utilizing segmented fundus image features
Hand bone extraction and segmentation based on a convolutional neural network
Improvement of emotion classification performance using multi-resolution variational mode decomposition method
Advanced lung tumor diagnosis using a 3D deep neural network based CAD system
Corneal endothelial image segmentation training data generation using GANs. Do experts need to annotate?
A fast and yet efficient YOLOv3 for blood cell detection
Mask prompt-guided multi-stage network for vertebrae identification
Monitoring of fetal heart rate using sharp transition FIR filter
Physiological monitoring of stress and major depression: A review of the current monitoring techniques and considerations for the future
Development of a participation assessment system based on multimodal evaluation of user responses for upper limb rehabilitation
IoT enabled smart healthcare system for COVID-19 classification using optimized robust spatiotemporal graph convolutional networks
A comprehensive approach to enhance emotion recognition through advanced feature extraction and Attention
Gesture recognition using dual-stream CNN based on fusion of sEMG energy kernel phase portrait and IMU amplitude image
Acoustic identification of Ae. aegypti mosquitoes using smartphone apps and residual convolutional neural networks
Automated classification of acute leukemia on a heterogeneous dataset using machine learning and deep learning techniques
Predicting early recurrence in resected non-small cell lung cancer following neoadjuvant immunochemotherapy: insights from a multi-center data-driven study
Technical report: An advanced algorithm for the description of mice oocyte cytoplasm and polar body
DEQ-KAN: Deep equilibrium Kolmogorov-Arnold networks for robust classification
Acoustic-pressure sensor array system for cardiac-sound acquisition
Induced activity in EEG in response to auditory stimulation
Machine learning based electrocardiogram peaks analyzer for Wolff-Parkinson-White syndrome
A novel structural features-based approach to automatically extract multiple motion parameters from single-arm X-ray angiography
Estimation of the noise autocorrelation function in auditory evoked potential applications
Cyclic alternating pattern estimation based on a probabilistic model over an EEG signal
SFCF net: spatial-frequency cross-fusion network for medical image classification
Decoding of object categories from brain signals using cross frequency coupling methods
Improving uneven exposure using color characteristics as a priori information in endoscopic images
A new approach to body balance analysis based on the eight-phase posturographic signal decomposition
Fuzzy distribution entropy and its application in automated seizure detection technique
Attention guided tongue segmentation with geometric knowledge in complex environments
A new expert system based on fuzzy logic and image processing algorithms for early glaucoma diagnosis
Multi-focus image fusion for bacilli images in conventional sputum smear microscopy for tuberculosis
Quantum physics analysis of electroencephalogram signals for drug users using distribution of quantum uncertainty products
Mixed 2D and 3D convolutional network with multi-scale context for lesion segmentation in breast DCE-MRI
Fine-grained respiratory event detection for SAHS screening
Differences in effective connectivity between children with dyslexia, monocular vision and typically developing readers: A DTI study
Improved swarm optimization of deep features for glaucoma classification using SEGSO and VGGNet
CXGNet: A tri-phase chest X-ray image classification for COVID-19 diagnosis using deep CNN with enhanced grey-wolf optimizer
A new epileptic seizure prediction model based on maximal overlap discrete wavelet packet transform, homogeneity index, and machine learning using ECG signals
Patient's intention detection and control for sit-stand mechanism of an assistive device for paraplegics
Segmentation of vessels in angiograms using convolutional neural networks
Single-scale convolution wavelet feature optimization classification model based on electrocardiogram coded image
Relation of canonical correlation analysis and multivariate synchronization index in SSVEP detection
Texture graph transformer for prostate cancer classification
Gastrointestinal tract disease detection via deep learning based Duo-Feature Optimized Hexa-Classification model
Mild-temperature photothermal treatment method and system based on photoacoustic temperature measurement and control
Enhanced sparse optimization approach for vital signal extraction from millimeter-wave radar
The effect of groupness constraint on the sensitivity and specificity of canonical correlation analysis, a multi-modal anatomical and functional MRI study
NClSilico: A Closed-Loop neuromodulation platform in silico
Reinforcement learning-based decision support system for COVID-19
Waveform skewness: Parameter for timed Up & Go turn assessment
DCentNet: Decentralized multistage biomedical signal classification using early exits
A lightweight and efficient deep learning model for real-time fall detection on edge device
Diagnosis of autism spectrum disorder using EEG microstates and chaos game representation
A novel cepstral-based technique for automatic cognitive load estimation
ACMTR: Attention-guided, combined multi-scale, transformer reasoning-based network for 3D CT pelvic functional bone marrow segmentation
Automatic detection metastasis in breast histopathological images based on ensemble learning and color adjustment
Identification of sound-localization cues in the HRTF of the bat-head model
Near real-time single-beat myocardial infarction detection from single-lead electrocardiogram using Long Short-Term Memory Neural Network
Enhanced speech emotion understanding using advanced attention-centric convolutional networks
Identification and risk classification of thymic epithelial tumors using 3D computed tomography images and deep learning models
Revisiting ICEEMDAN and EEG rhythms
Towards mental load assessment for high-risk works driven by psychophysiological data: Combining a 1D-CNN model with random forest feature selection
KDE-DE: A kernel density estimation-based differential entropy method for EEG feature extraction in spatial cognitive evaluation
A multiscale convolutional neural network based on time-frequency features for decoding rat exercise fatigue LFP
BCNN: Backpropagation CNN-Based fully unsupervised skull stripping for accurate brain segmentation
A soft clustering approach for segmenting brain tumor in intuitionistic fuzzy environment
Stimulation method and individual health index study for real-time cardiovascular and autonomic nervous system reactivity analysis using PPG signal
Automatic diagnosis of cardiovascular disorders by sub images of the ECG signal using multi-feature extraction methods and randomized neural network
DRS-Net: A spatial-temporal affective computing model based on multichannel EEG data
A Koopman-operator-theoretical approach for anomaly recognition and detection of multi-variate EEG system
Unsupervised Bayesian change point detection model to track acute stress responses
Temporal Graphormer and its interpretability: A novel framework for diagnostic decoding of brain disorders using fMRI data
Explainable AI-based method for brain abnormality diagnostics using MRI
A dual stage AlexNet-HHO-DrpXLM archetype for an effective feature extraction, classification and prediction of liver cancer based on histopathology images
Morphologically constrained signal subspace characterization of electrograms during ventricular fibrillation
Usefulness of blinking duration variability (BDV) in discriminating emotional states
Unsupervised domain adaptation for brain structure segmentation via mutual information maximization alignment
Efficient superpixel-based brain MRI segmentation using multi-scale morphological gradient reconstruction and quantum clustering
An efficient lung disease classification from X-ray images using hybrid Mask-RCNN and BiDLSTM
Vascular reactivity characterized by PPG-derived pulse wave velocity
A generative adversarial network for delineation of retinal interfaces in OCT B-scans with age-related macular degeneration
A multimodal emotion recognition method based on facial expressions and electroencephalography
Mesh-free technique for enhancement of the lung CT image
Transformer based multiple instance learning for WSI breast cancer classification
Hilbert transform-based event-related patterns for motor imagery brain computer interface
Automatic quality assessment of capacitively-coupled bioimpedance signals for respiratory activity monitoring
TUTNet: Leveraging transformers for comprehensive extraction and preservation of global information in medical image segmentation
An optimization for adaptive multi-filter estimation in medical images and EEG based signal denoising
Two-path all-pass based half-band infinite impulse response decimation filters and the effects of their non-linear phase response on ECG signal acquisition
Adaptive blood cell segmentation and hybrid Learning-based blood cell classification: A Meta-heuristic-based model
Hardware-in-the-loop setup for contactless skin servo control of neonatal incubators
Classification of breast lesions using quantitative ultrasound biomarkers
MBANet: A 3D convolutional neural network with multi-branch attention for brain tumor segmentation from MRI images
Quantitative analysis of externally-induced patterns and natural oscillations in the human cardiovascular response: Implications for development of a biofeedback system
Objective model assessment for short-term anxiety recognition from blood volume pulse signal
Robust EEG feature learning model based on an adaptive weight and pairwise-fused LASSO
Slice grouping and aggregation network for auxiliary diagnosis of rib fractures
Numerical modeling of electrical activity in cardiac tissue using implicit high-order algorithms combined with meshless methods
The cardiac rhythm invariance Principle: A unified framework for multimodal cardiac signal analysis
A novel end-to-end chromosome classification approach using deep neural network with triple attention mechanism
Improvement of the muscle fractional multimodel for low-rate stimulation
Preoperative prediction of rectal cancer stage via CT imaging and an adaptive attention multiscale feature fusion network
Hybrid deep learning with fractional optimization for embryo stage classification
Audio- and video-based estimation of the sleep stages of newborns in Neonatal Intensive Care Unit
Incidence of different pressure patterns of spinal cerebellar ataxia (SCA) and analysis of imaging and genetic diagnosis
Self-supervised bi-directional mapping generative adversarial network for arbitrary-time longitudinal interpolation of missing data
CCSMRI: Circular compressed sensing MRI
Weighted spectral features based on local Hu moments for speech emotion recognition
Bounding boxes for weakly-supervised breast cancer segmentation in DCE-MRI
Prognostic value of the total cosine R to T measured in high resolution body surface potential mapping during exercise test
Heart rate estimation using remote photoplethysmography with multi-objective optimization
A Stacked Generalization Chest-X-Ray-Based Framework for Mispositioned Medical Tubes and Catheters Detection
Harnessing convolutional neural networks to find regions of interest on feet X-rays images
IoMT-fog-cloud based architecture for Covid-19 detection
Multi-objective noise estimator for the applications of de-noising and segmentation of MRI data
Singular Spectrum Analysis as a data-driven approach to the analysis of motor adaptation time series
Automatic detection of microvolt T-wave alternans in Holter recordings: Effect of baseline wandering
Heart disease classification based on ECG using machine learning models
Multimodal deep learning model for Covid-19 detection
FusionLungNet: Multi-scale fusion convolution with refinement network for lung CT image segmentation
Quantitative pharmacokinetic parameter K trans map assists in regional segmentation of nasopharyngeal carcinoma in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)
Optimization of EMG-based hand gesture recognition: Supervised vs. unsupervised data preprocessing on healthy subjects and transradial amputees
Type 2 diabetes mellitus associated pancreatic cancer prediction using combinations of machine learning models
Age-related gait patterns classification using deep learning based on time-series data from one accelerometer
Inpainting of ultrasound cardiac tissues with consistent anatomical structures
Reconstruction of central arterial pressure waveform based on CNN-BILSTM
A novel deep learning-based prediction of DME in eye diseases
An upper limb movement estimation from electromyography by using BP neural network
Cardiac arrhythmias detection framework based on higher-order spectral distribution with deep learning
An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images
Detection of apnea events from ECG segments using Fourier decomposition method
EM-CSP: An efficient multiclass common spatial pattern feature method for speech imagery EEG signals recognition
Complex-Pan-Tompkins-Wavelets: Cross-channel ECG beat detection and delineation
Combining GraphSAGE and Genetic algorithm for CircRNA-disease association prediction
Bio-acoustic features of depression: A review
A geometrical perspective on the 3TP method in DCE-MRI
A core tensor sparsity enhancement method for solving Tucker-2 model of multi-subject fMRI data
Efficient block-sparse model-based algorithm for photoacoustic image reconstruction
Finite automata machine fostered automatic teeth brushing task assistance for people with cognitive disabilities
Physiological state assessment and prediction based on multi-sensor fusion in body area network
Power-line interference elimination from ECG in case of non-multiplicity between the sampling rate and the power-line frequency
A comparative study of codification techniques for clustering heart disease database
Enhancing fetal ultrasound image quality assessment with multi-scale fusion and clustering-based optimization
Characteristics analysis of muscle function network and its application to muscle compensatory in repetitive movement
Adaptive detection of Ahead-sEMG based on short-time energy of local-detail difference and recognition in advance of upper-limb movements
Development of 3DTDUnet++ with novel function and multi-scale dilated-based deep learning model for lung cancer diagnosis using CT images
A new approach for denoising multichannel electrogastrographic signals
Exploring dynamic hubs for face perception in the brain: A graph theoretical measure approach
A data-knowledge driven approach with wearable sensors for intelligent gait disorders identification
A robust model-based neural-machine interface across different loading weights applied at distal forearm
Hand gesture recognition based on motor unit spike trains decoded from high-density electromyography
Design and intelligent control of mock circulation system to reproduce patient-specific physiological indexes
Intelligent maternal-fetal healthcare monitoring and abnormality detection using deep belief networks optimized by bacterial foraging algorithm
A new method for the assessment of adenoid hypertrophy: Respirdynamicsgram (RDG)
DCT & DWT based watermarking scheme for medical information security
A hybrid dipper throated optimization algorithm and particle swarm optimization (DTPSO) model for hepatocellular carcinoma (HCC) prediction
Classification of epileptic seizures from electroencephalogram (EEG) data using bidirectional short-term memory (Bi-LSTM) network architecture
Adaptive multi symptoms control of Parkinson's disease by deep reinforcement learning
Remote control of a robotic prosthesis arm with six-degree-of-freedom for ultrasonic scanning and three-dimensional imaging
A novel multimodal depression diagnosis approach utilizing a new hybrid fusion method
A rhythmic encoding approach based on EEG time-frequency image for epileptic seizure detection
An algorithm for automatic detection of repeater F-waves and MUNE studies
A novel model based on CNN for improving computation efficiency on arrhythmia detection by combining HMM
Anal center detection and classification of perianal healthy condition
S2A-Net: Retinal structure segmentation in OCTA images through a spatially self-aware multitask network
Comparison of expert and algorithm agreement in measurement of nerve conduction study parameters
Computer-aided multi-label retinopathy diagnosis via inter-disease graph regularization
The unilateral upper limb classification from fMRI-weighted EEG signals using convolutional neural network
YOLO meets CCViT- A lightweight end-to-end system for wound tissue analysis
An improved approach for medical image fusion using sparse representation and Siamese convolutional neural network
Improving intrusion detection in cloud-based healthcare using neural network
Swin Transformer based detection and segmentation networks for measurement and quantification analysis of arteriolar vessels from renal whole slide images
MAFBN: Multi-Attention Forward and Backward network to predict epileptic seizure
Breast TransFG Plus: Transformer-based fine-grained classification model for breast cancer grading in Hematoxylin-Eosin stained pathological images
Detecting depression tendency based on deep learning and multi-sources data