yusuke1997/dblp-id-title huggingface dataset:
A multipurpose user-friendly tool for voice analysis: Application to pathological adult voices
A novel attentional deep neural network-based assessment method for ECG quality
Predictive classification of nosocomial infection type and treatment outcome using neural network algorithm
IntHDCNN: IoT-driven remote cardiac health monitoring with interactive hunt-based deep convolutional neural network
Convergence in myoelectric control: Between individual patterns of myoelectric learning
Early Parkinson's disease diagnosis using Transition Propagation Graph Neutral Network with Dynamic Hunting Leadership Optimization
A novel full-convolution UNet-transformer for medical image segmentation
Phase space reconstruction for improving the classification of single trial EEG
Asthmatic subjects stratification using autonomic nervous system information
Despeckling of ultrasound medical images using nonlinear adaptive anisotropic diffusion in nonsubsampled shearlet domain
Detecting mild traumatic brain injury for athletes using SSVEP classification: A case study
A new approach of contrast enhancement for Medical Images based on entropy curve
Parametric Bi-invariant Learning for Improved Precision in 2D/3D Image Registration
Predicting the outcome of depression therapies using a pattern of sixteen consecutive bits of EEG signals
New algorithm based on group sparsity for correcting wideband noise in ECG recordings
Feature selection and dimensionality reduction: An extensive comparison in hand gesture classification by sEMG in eight channels armband approach
Double paths network with residual information distillation for improving lung CT image super resolution
Comparison between handcraft feature extraction and methods based on Recurrent Neural Network models for gesture recognition by instrumented gloves: A case for Brazilian Sign Language Alphabet
IFBCLNet: Spatio-temporal frequency feature extraction-based MI-EEG classification convolutional network
Automatic endoscopic navigation based on attention-based network for Nasotracheal Intubation
AugPaste: A one-shot approach for diabetic retinopathy detection
Leukemia Net: Integrating attention depth wise Separable network-aided stacked feature pooling with weighted recurrent neural network-based leukemia detection model
Enhanced PPG-based stress detection: a multivariate cross-dataset analysis across devices and tasks
Novel QRS detection based on the Adaptive Improved Permutation Entropy
Enhancing human activity recognition with TB-ConvAtt: A multi-dimensional attention framework
Activating high-frequency information nodes for super-resolution magnetic resonance imaging
Multi-modal medical image fusion via multi-dictionary and truncated Huber filtering
Mixed-transform based codec for 2D compression of ECG signals
Osteoporosis screening: Leveraging EfficientNet with complete and cropped facial panoramic radiography imaging
Design and development of an EOG-based simplified Chinese eye-writing system
Meal detection and carbohydrate estimation based on a feedback scheme with application to the artificial pancreas
ACTNet: Attention based CNN and Transformer network for respiratory rate estimation
Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering
Labyrinth morphological modeling and its application on unreferenced segmentation assessment
DIM-UNet: Boosting medical image segmentation via diffusion models and information bottleneck theory mixed with MLP
High-resolution magnetic particle imaging system matrix recovery using a vision transformer with residual feature network
Intelligent algorithms powered smart devices for atrial fibrillation discrimination
Glioma detection based on multi-fractal features of segmented brain MRI by particle swarm optimization techniques
Comparison of sound radiation between classical and pop singers
A lightweight meta-learning-based open-set speaker identification system with integrated spoofing and impostor detection
A deep neural network based on multi-model and multi-scale for arrhythmia classification
W-PolypBox: Exploring bounding box priors constraints for weakly supervised polyp segmentation
Applying deep learning technology for automatic fall detection using mobile sensors
Iterative envelope mean fractal dimension filter for the separation of crackles from normal breath sounds
SK-VM++: Mamba assists skip-connections for medical image segmentation
Towards multi-view sputum smear quality classification
Convolutional Autoencoder-Based medical image compression using a novel annotated medical X-ray imaging dataset
Artifact Removal from EEG signals using Regenerative Multi-Dimensional Singular Value Decomposition and Independent Component Analysis
Detection of cervical lesions in colposcopic images based on the RetinaNet method
Flow ball-assisted voice training: Immediate effects on vocal fold contacting
Synchronization of two coupled pacemaker cells based on the phase response curve
Detection of mental stress using novel spatio-temporal distribution of brain activations
Finger movements classification based on fractional Fourier transform coefficients extracted from surface EMG signals
Brain region ranking for 18FDG-PET computer-aided diagnosis of Alzheimer's disease
Research on lung sound classification model based on dual-channel CNN-LSTM algorithm
Opening the envelope: Efficient envelope-based PPG denoising algorithm
Adaptive low-power wrist SpO2 monitoring system design using a multi-filtering scheme
DEHFF - A hybrid approach based on distinctively encoded fingerprint features for live fingerprint detection
Feature extraction from MR images for detection of brain and breast tumors through mathematical modeling
Progressive Group Convolution Fusion network for colon polyp segmentation
An approach to extracting graph kernel features from functional brain networks and its applications to the analysis of the noisy EEG signals
Convolutional state space model with multi-window cross-scan to advance the automated diagnosis of skeletal fluorosis
Enhancing complex upper-limb motor imagery discrimination through an incremental training strategy
Multisource Wasserstein Adaptation Coding Network for EEG emotion recognition
Fractional mesh-free linear diffusion method for image enhancement and segmentation for automatic tumor classification
Computational detection and interpretation of heart disease based on conditional variational auto-encoder and stacked ensemble-learning framework
Virtual patient trials of a multi-input stochastic model for tight glycaemic control using insulin sensitivity and blood glucose data
Constructing biomarker for early diagnosis of aMCI based on combination of multiscale fuzzy entropy and functional brain connectivity
A new 360° rotating type stimuli for improved SSVEP based brain computer interface
Wavelet-based computationally-efficient computer-aided characterization of liver steatosis using conventional B-mode ultrasound images
MorphAttnNet: An Attention-based morphology framework for lung cancer subtype classification
MVGL-Net: A generalizable multi-view convolutional network for anterior segment OCT
Accurate estimation of stroke risk with fuzzy clustering and ensemble learning methods
A new optic disc segmentation method using a modified Dolph-Chebyshev matched filter
AMD-Net: Automatic subretinal fluid and hemorrhage segmentation for wet age-related macular degeneration in ocular fundus images
A computationally efficient automated seizure detection method based on the novel idea of multiscale spectral features
Parallel attention multi-scale mandibular fracture detection network based on CenterNet
Contrast-insensitive motion correction for MRI cardiac T1 mapping
An automatic pipeline for segmentation and quantification of intravascular ultrasound images
A parallel multi-scale time-frequency block convolutional neural network based on channel attention module for motor imagery classification
An ECG compression algorithm with guaranteed reconstruction quality based on optimum truncation of singular values and ASCII character encoding
CWSTR-Net: A Channel-Weighted Spatial-Temporal Residual Network based on nonsmooth nonnegative matrix factorization for fatigue detection using EEG signals
A multivariate approach for drowsiness detection using empirical Fourier decomposition
An evolutionary U-shaped network for Retinal Vessel Segmentation using Binary Teaching-Learning-Based Optimization
Accelerating biological imaging of atomic force microscopy by deep-learning
Bleeding contour detection for craniotomy
Cloud-assisted IoMT system for brain tumor detection using optimized hinge steerable GNN
Thomson Multitaper MFCC and PLP voice features for early detection of Parkinson disease
Silicone phantom validation of breast cancer tumor detection using nominal stiffness identification in digital imaging elasto-tomography (DIET)
Optimized theory-guided convolutional neural network for lung cancer classification using CT images with advanced FPGA implementation
Deep multi-scale dilated convolution network for coronary artery segmentation
EEG signal based seizure detection focused on Hjorth parameters from tunable-Q wavelet sub-bands
HBTF-Net: A hierarchical Bayesian multi-task fusion network for joint classification and segmentation of cervical cells
Stacked Autoencoder for classification of glioma grade III and grade IV
Differences in QT interval determined from multi-lead ambulatory ECG during rest and physical exercise
Advancing diabetic retinopathy classification using ensemble deep learning approaches
An efficient vision transformer for Alzheimer's disease classification using magnetic resonance images
Non-contact remote estimation of cardiovascular parameters
Stationary versus bifurcation regime for standing wave central pattern generator
Efficient nuclei semantic segmentation in histopathology images: A weakly supervised approach with color and sure-foreground extraction
A novel method for tracking and analysis of EEG activation across brain lobes
Cancer therapy optimization based on multiple model adaptive control
STG-Net: A COVID-19 prediction network based on multivariate spatio-temporal information
Enhancing point annotations with superpixel and confident learning guided for improving semi-supervised OCT fluid segmentation
Improving Alzheimer's disease classification using novel rewards in deep reinforcement learning
Joint disease classification and lesion segmentation via one-stage attention-based convolutional neural network in OCT images
TransDD: A transformer-based dual-path decoder for improving the performance of thoracic diseases classification using chest X-ray
Prototype design for bidirectional control of stepper motor using features of brain signals and soft computing tools
Disagreement attention: Let us agree to disagree on computed tomography segmentation
Assessing articulatory perturbations during a sung vowel-matching exercise using articulography
Depth disentanglement strategy of latent space for medical image segmentation
Knowledge-guided 2.5D CNN for cerebral microbleeds detection
Multichannel lung sound analysis to detect severity of lung disease in cystic fibrosis
An interpretable deep learning algorithm for dynamic early warning of posttraumatic hemorrhagic shock based on noninvasive parameter
Segmentation of fused MR and CT images using DL-CNN with PGK and NLEM filtered AACGK-FCM
Detection of cervical lesion region from colposcopic images based on feature reselection
A novel biophysical ERG model integrating rod and bipolar cells cascade transduction with JLCSG MOSFET
Automatic classification of male and female skeletal muscles using ultrasound imaging
DeepGum: Deep feature transfer for gut microbiome analysis using bottleneck models
Adaptive feature decoupled network for polyp segmentation
Robust reconstruction of fluorescence molecular tomography by minimizing the capped L2,p norm
Surgivisor: Transformer-based semi-supervised instrument segmentation for endoscopic surgery
Experimental evaluation of filters used for removing speckle noise and enhancing ultrasound image quality
A spatiotemporal symmetrical transformer structure for EEG emotion recognition
Detection of time irreversibility in interbeat interval time series by visible and nonvisible motifs from horizontal visibility graph
GNMF-based quadratic feature extraction in SSTFT domain for epileptic EEG detection
Automated classification of valvular heart diseases using FBSE-EWT and PSR based geometrical features
Multiscale hybrid algorithm for pre-processing of ultrasound images
Deep learning based fall detection using smartwatches for healthcare applications
ConVbi- Ensemble deep learning based silent speech detection for dysphonia patients from electromyographic signals
Cuffless blood pressure estimation from PPG signals and its derivatives using deep learning models
Estimation of blood pressure variability during orthostatic test using instantaneous photoplethysmogram frequency and pulse arrival time
C-SAN: Convolutional stacked autoencoder network for brain tumor detection using MRI
Automated detection of Covid-19 disease using deep fused features from chest radiography images
Lumbar erector spinae and sacral multifidus contractile properties in healthy females and males as determined by laser displacement mechanomyography
Leveraging distillation in transductive learning for improved medical image segmentation
Chi-square distance kernel of the gaits for the diagnosis of Parkinson's disease
A fast lightweight network for the discrimination of COVID-19 and pulmonary diseases
Delta plot analysis of cardiovascular and cardiorespiratory interactions in young women with orthostatic intolerance
A multi-scale transformer framework with consistency and dual-view for depression detection
Skin lesion classification base on multi-hierarchy contrastive learning with pareto optimality
Dual Kalman filter for estimating load-free human motion kinematic energy expenditure
DAAM-Net: A dual-encoder U-Net network with adjacent auxiliary module for pituitary tumor and jaw cyst segmentation
Intelligent hybrid coevolutionary optimization for microwave neurostimulation based on specific absorption rate and beamforming-controlled antenna design
Multi-input dense convolutional network for classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma
Generalizable multimodal retinal image registration via label-free vessel segmentation
Toe PPG sample extension for supervised machine learning approaches to simultaneously predict type 2 diabetes and peripheral neuropathy
Multi-modal Medical Image Fusion based on Two-scale Image Decomposition and Sparse Representation
An enhanced adaptive differential evolution for early diabetes prediction
On the classification of tremor signals into dyskinesia, Parkinsonian tremor, and Essential tremor by using machine learning techniques
Local fractal dimension based ECG arrhythmia classification
An independent central point OPTICS clustering algorithm for semi-supervised outlier detection of continuous glucose measurements
Deep adaptation network for subject-specific sleep stage classification based on a single-lead ECG
Scattering of SH waves in compact bone and cancellous bone
Semi-supervised segmentation of hyperspectral pathological imagery based on shape priors and contrastive learning
Age estimation for disorder characterization from pediatric polysomnograms
Schizophrenia classification using machine learning on resting state EEG signal
An efficient lung cancer detection using optimal SVM and improved weight based beetle swarm optimization
Enhancing non-small cell lung cancer radiotherapy planning: A deep learning-based multi-modal fusion approach for accurate GTV segmentation
A brain topography graph embedded convolutional neural network for EEG-based motor imagery classification
DMEGrade-Net: Designing an efficient Diabetic Macular Edema Grading System using Adaptive Transfer Learning-based MobileNet from fundus images in the healthcare industry
FRBI suppresses carcinogenesis of uterine cancers by regulating expressions of FHIT, PTEN and ARID1A
Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals
Bayesian-optimized fourth order partial differential equation filtering and wavelet fusion for denoising and enhancing the CRAG colon histopathological image dataset
The complex data denoising in MR images based on the directional extension for the undecimated wavelet transform
Comparison of myo-electrical control methods: From muscle energy consumption to mechanical speed output
Deep learning-assisted framework for automation of lumbar vertebral body segmentation, measurement, and deformity detection in MR images
Automatic multi-organ segmentation of prostate magnetic resonance images using watershed and nonsubsampled contourlet transform
Predicting dental implant failure risk from panoramic radiographs using deep learning
Artifact rejection and cycle detection in immature breathing: Application to the early detection of neonatal sepsis
Postprandial response improvement via safety layer in closed-loop blood glucose controllers
Advancing early diagnosis of Alzheimer's disease with next-generation deep learning methods
Robust discriminant feature extraction for automatic depression recognition
SDLU-Net: A similarity-based dynamic linking network for the automated segmentation of abdominal aorta aneurysms and branching vessels
C2 LOG-GAN: Concave convex and local global attention based generative adversarial network for super resolution MRI reconstruction
Enhanced coronary artery segmentation and stenosis detection: Leveraging novel deep learning techniques
Introduction - 8th IFAC Symposium
A novel generalized gradient vector flow snake model using minimal surface and component-normalized method for medical image segmentation
Towards image-based laryngeal videostroboscopy using deep learning-enabled compressed sensing
Revolutionizing vascular health through the temporal convolutional transformer for drug screening and model evolution
A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure
A novel caps-EEGNet combined with channel selection for EEG-based emotion recognition
Mean curve length: An efficient feature for brainwave biometrics
Integration of cloud computing in BCI: A review
Effects of smoking, schizotypy, and eyes open/closed conditions on the γ 1 rhythm phase synchrony of the electroencephalogram
Linear and non-linear analysis of cardiac health in diabetic subjects
Motor imagery EEG classification algorithm based on CNN-LSTM feature fusion network
A novel automatic Knee Osteoarthritis detection method based on vibroarthrographic signals
Early stage lung cancer detection from speech sounds in natural environments
Smart solar power Conversion: Leveraging Deep learning MPPT and hybrid cascaded h-bridge multilevel inverters for optimal efficiency
Optimal control of SIR epidemic model with state dependent switching cost index
Respiratory rate estimation from multi-channel signals using auto-regulated adaptive extended Kalman filter
Strongly representative semantic-guided segmentation network for pancreatic and pancreatic tumors
Early prediction of hepatocellular carcinoma using a risk-embedded longitudinal attention model
Noise dependent training for deep parallel ensemble denoising in magnetic resonance images
Unsupervised method for estimating the number of endmembers in hyperspectral images
Influence of music liking on EEG based emotion recognition
Detection of event-related potentials as a biomarker in major depressive disorder using an XGBoost model
A new signal decomposition to estimate breathing rate and heart rate from photoplethysmography signal
CE-YOLO: A channel-efficient YOLO algorithm for colorectal polyp detection
CMLP-Net: A convolution-multilayer perceptron network for EEG-based emotion recognition
A novel center-of-mass method to measure fluid velocity with MRI
Optimal lung cancer detection based on CNN optimized and improved Snake optimization algorithm
Regulation of depth of hypnosis through optimized AI-based robust nonlinear controller
Constraint matrix projection minimum variance beamformer based on adaptive decomposition threshold for ultrasound imaging
Statistical analysis on multi-factors of dynamic plantar pressure to normal subjects
Multimodal fusion diagnosis of Alzheimer's disease based on FDG-PET generation
Biomedical image segmentation using fuzzy multilevel soft thresholding system coupled modified cuckoo search
Axis-guided patch based accurate segmentation for pathological vessels using adaptive weight sparse representation
Muscle synergies and muscle networks in multiple frequency components in post-stroke patients
Gated partial self-attention network for medical image segmentation
Multi-modal IoT-based medical data processing for disease diagnosis using Heuristic-derived deep learning
sEMG-based continuous estimation of grasp movements by long-short term memory network
Dermoscopic skin lesion image segmentation based on Local Binary Pattern Clustering: Comparative study
A novel robust Student's t -based Granger causality for EEG based brain network analysis
Design considerations for the auditory brain computer interface speller
A dataset and a methodology for intraoperative computer-aided diagnosis of a metastatic colon cancer in a liver
Analysis of interactions between cardiovascular oscillations for discrimination of early vascular disorders in arterial hypertension and type 2 diabetes
Advancing early detection of sepsis with physiological variable interactions and temporal contrastive learning in critical care
Neurofeedback training protocols based on selecting distinctive features and identifying appropriate channels to enhance performance in novice visual artists
Robust multi-modal COVID-19 medical image registration using dense deep learning descriptor model
Alzheimer's disease classification using pre-trained deep networks
Robust brain causality network construction based on Bayesian multivariate autoregression
Two stages biclustering with three populations
Experimental validation of a finite state controlled functional electrical stimulation walking system with real-time gait phase detection using a single wearable IMU sensor
Blood pressure prediction from speech recordings
Modeling and joint estimation of glottal source and vocal tract filter by state-space methods
Dual-Domain Spatial-Temporal reconstruction network for reconstruction of cine CMR
Identification of wrist movements based on magnetoencephalograms via noise assisted multivariate empirical mode decomposition
Medical image mis-segmentation region refinement framework based on dynamic graph convolution
Energy efficient EEG sensing and transmission for wireless body area networks: A blind compressed sensing approach
MuRAt-CAP-Net: A novel multi-input residual attention network for automated detection of A-phases and subtypes in cyclic alternating patterns
Double Integral sliding mode control of Leukemia Therapy
Deep learning-based approach for detecting COVID-19 in chest X-rays
EG-UNETR: An edge-guided liver tumor segmentation network based on cross-level interactive transformer
Acoustic feature selection and classification of emotions in speech using a 3D continuous emotion model
HCO-RLF: Hybrid classification optimization using recurrent learning and fuzzy for COVID-19 detection on CT images
A self-supervised graph network with time-varying functional connectivity for seizure prediction
DLT-Embryo: A Dual-branch Local feature fusion enhanced Transformer for Embryo multi-stage classification
Detecting neurophysiological differences in mental fatigue: A multimodal approach with CNN analysis based on attention mechanism
Detection of obstructive sleep apnea from single-channel ECG signals using a CNN-transformer architecture
A deep subdomain associate adaptation network for cross-session and cross-subject EEG emotion recognition
Neurovascular coupling as a novel biomarker for neonatal encephalopathy: A multicenter clinical study
Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy