yusuke1997/dblp-id-title huggingface dataset:
Heart rate variability analysis method for exercise-induced fatigue monitoring
EEG based classification of children with learning disabilities using shallow and deep neural network
Evaluation of fractional Brownian motion synthesis methods using the SVM classifier
A framework on wavelet-based nonlinear features and extreme learning machine for epileptic seizure detection
Redundant Gaussian dictionary in compressed sensing for ambulatory photoplethysmography monitoring
MPGF-Net: A multi-scale perception and global-local attention fusion network for polyp segmentation
Automatic ocular artifacts removal in EEG using deep learning
Diagnose Parkinson's disease and cleft lip and palate using deep convolutional neural networks evolved by IP-based chimp optimization algorithm
Lyapunov based nonlinear controllers for the chemotherapy of brain tumor
Smoking detection based on regularity analysis of hand to mouth gestures
COVID-19 diagnosis from routine blood tests using artificial intelligence techniques
BrainIB++: Leveraging graph neural networks and information bottleneck for functional brain biomarkers in schizophrenia
Self-supervised learning-based EEG emotion recognition using spatial-temporal attention networks and contrastive learning
Adaptive graph learning with SEEG data for improved seizure localization: Considerations of generalization and simplicity
SECA-Net: Squeezed-and-excitated contextual attention network for medical image segmentation
Modification of misarticulated fricative /s/ in cleft lip and palate speech
Adaptive spatio-temporal denoising of fluoroscopic X-ray sequences
Automated technique for coronary artery disease characterization and classification using DD-DTDWT in ultrasound images
RTUNet: Residual transformer UNet specifically for pancreas segmentation
A novel autonomous learning framework to enhance sEMG-based hand gesture recognition using depth information
SynthFed: Privacy-preserving long-tail ophthalmic diagnosis via VQ-VAE and GPT-augmented federated learning
Estimation of nonlinear neural source interactions via sliced bicoherence
Combining MF-DFA and LSSVM for retina images classification
Medical image fusion method based on saliency measurement improvement and local structure similarity correction
Genetic algorithm-based optimization framework for control parameters of ventricular assist devices
A pole-radius-varying IIR notch filter with enhanced post-transient performance
Three-dimensional palatal rugae recognition based on cyclic spectral analysis
Self-supervised contrastive learning achieves 12-lead ECG classification
SPECTER - The Signal sPECtrum Tensor decomposition and Eye blink Removal algorithm
Novel method of multi-frequency flicker to stimulate SSVEP and frequency recognition
Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification
Improving the accuracy of depth of anaesthesia using modified detrended fluctuation analysis method
Accurate segmentation of breast tumors using AE U-net with HDC model in ultrasound images
Use of kinematic and mel-cepstrum-related features for fall detection based on data from infrared depth sensors
An intelligent compression system for wireless capsule endoscopy images
MP-SeizNet: A multi-path CNN Bi-LSTM Network for seizure-type classification using EEG
Enhancing antiviral therapies through nonlinear control of Hepatitis C virus dynamics
Recognizing single-trial motor imagery EEG based on interpretable clustering method
A generative adversarial network based on deep supervision for anatomical and functional image fusion
Skin cancer detection from dermoscopic images using Deep Siamese domain adaptation convolutional Neural Network optimized with Honey Badger Algorithm
Machine learning models for chronic kidney disease diagnosis and prediction
DTCFormer: Deep tensor chain frequency guided transformer for multi-modal medical image classification
Multi-scale consistency adversarial learning for semi-supervised 3D medical image segmentation
MyoGPT: Augmenting and segmenting spatial muscle activation patterns in forearm using generative Pre-Trained Transformers
Averaging of nonlinearly aligned signal cycles for noise suppression
Explainable Soft Attentive EfficientNet for breast cancer classification in histopathological images
Deep second generation wavelet autoencoders based on curvelet pooling for brain pathology classification
Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study
VesselMamba: 3D vessel segmentation in CTA images using Mamba with enhanced Spatial-Channel Attention
Swin-PHOG-LPQ: An accurate computed tomography images classification model using Swin architecture with handcrafted features
Low-cost device for breast cancer screening: A dry setup IR-UWB proposal
Disrobiom: A novel approach to discover robust biomarkers from gut microbiome datasets with deep-learning algorithms
Data-driven approaches for detecting Parkinson's disease through keystroke dynamics
Effect of acupuncture treatment for upper limb on cortical activation and functional connectivity: A fNIRS study
Arrhythmogenic sites identification in post-ischemic ventricular tachycardia electrophysiological studies by explainable deep learning
A deconvolution scheme for the stochastic metabolic/hemodynamic model (sMHM) based on the square root cubature Kalman filter and maximum likelihood estimation
Investigation of a two-point maximum entropy regularization method for signal enhancement applied to magnetoencephalography data
Discrete wavelet transform based data representation in deep neural network for gait abnormality detection
Computer-aided skin cancer diagnosis based on a New meta-heuristic algorithm combined with support vector method
An improved sequence coding-based gray level co-occurrence matrix for mild stress assessment
Wavelet-based electrocardiogram signal compression methods and their performances: A prospective review
Review of challenges associated with the EEG artifact removal methods
LaCHeST: An AI-assisted auscultation tool for pediatric congenital heart diseases screening and validated via large-scale screening tasks
An effective U-Net and BiSeNet complementary network for spine segmentation
Deep learning-based classification of multichannel bio-signals using directedness transfer learning
A low-energy low-delay synchronized defibrillator for cardiac arrhythmias
DTSF: A dual-branch temporal and spectral fusion model with data augmentation for intracranial EEG classification
A comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of COVID-19 patients at peak disease, and pre-discharge from the hospital
Deep multi-feature fusion residual network for oral squamous cell carcinoma classification and its intelligent system using Raman spectroscopy
NEXUS: Neural cross-modal expression with subject-unified synthesis for brain-vision-language decoding
An efficient ensemble-based Machine Learning for breast cancer detection
A supervisor for volume-controlled tidal liquid ventilator using independent piston pumps
Multi-source EEG emotion recognition via dynamic contrastive domain adaptation
A chaotic neural network model for biceps muscle based on Rossler stimulation equation and bifurcation diagram
Human embryo stage classification using an enhanced R(2 + 1)D model and dynamic programming with optimized datasets
Predicting the occurrence of wrist tremor based on electromyography using a hidden Markov model and entropy based learning algorithm
Impact of varying levels of mental stress on phase information of EEG Signals: A study on the Frontal, Central, and parietal regions
A robust myocardial infarction localization system based on multi-branch residual shrinkage network and active learning with clustering
Analysis of surface electromyography signal features on osteomyoplastic transtibial amputees for pattern recognition control architectures
Localizing focal brain injury via EEG spectral variance
Comparison of video-based methods for respiration rhythm measurement
Automatic multi-label diagnosis of single-lead ECG using novel hybrid residual recurrent convolutional neural networks
Alcohol use disorder detection using EEG Signal features and flexible analytical wavelet transform
A regression approach based on separability maximization for modeling a continuous-valued stress index from electrocardiogram data
COVID-19 chest X-ray detection through blending ensemble of CNN snapshots
Epidemic model dynamics and fuzzy neural-network optimal control with impulsive traveling and migrating: Case study of COVID-19 vaccination
Reliable Multi-Source Contrastive Pseudo-Labels Interaction Network for unsupervised skin lesion segmentation
Correlating spirometry findings with auscultation sounds for diagnosis of respiratory diseases
Cluster-based phase space density feature in multichannel scalp EEG for seizure prediction by deep learning
Vibroarthrographic signals for the low-cost and computationally efficient classification of aging and healthy knees
Automated arrhythmia classification using depthwise separable convolutional neural network with focal loss
RDiffGAN-ECG: High-quality specific R-peaks conditional ECG generation using denoising diffusion generative adversarial network with state space models
Discrimination of Life-threatening arrhythmias using self-adaptive VMD, RQA techniques and EfficientNetV2-L classifier
Skin lesion classification based on multi-model ensemble with generated levels-of-detail images
Lightweight electrocardiogram signal compression
Research on multi-sequence MR image synthesis CT algorithm based on unsupervised method
Facial video-based non-contact emotion recognition: A multi-view features expression and fusion method
White blood cell type identification using multi-layer convolutional features with an extreme-learning machine
EC-HDLNet: Extended coati-based hybrid deep dilated convolutional learning network for brain tumor classification
Multi-modality medical image fusion based on image decomposition framework and nonsubsampled shearlet transform
Joint margin adaption and multiscale feature fusion for COVID-19 CT images segmentation
Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity
CVI-UNet: A multi-segmentation U-Net for automated choroidal vascularity index calculation from EDI-OCT images
EEG-based estimation of mental fatigue by using KPCA-HMM and complexity parameters
CardioLike-Net: An edge-end inter-patient arrhythmia classifier with quantization-aware-training for wearable ECG applications
New features for scanned bioelectrical activity of motor unit in health and disease
TIG-UDA: Generative unsupervised domain adaptation with transformer-embedded invariance for cross-modality medical image segmentation
Pattern recognition of number gestures based on a wireless surface EMG system
Validity and reliability of the ultra-short-term heart rate variability features in predicting ventricular tachyarrhythmia
A biophysically inspired microelectrode recording-based model for the subthalamic nucleus activity in Parkinson's disease
A visual patient feedback device using optical surface measurement for the cooperative management of setup and body dynamics during radiotherapy
ATFormer: Advanced transformer for medical image segmentation
An efficient dual-line decoder network with multi-scale convolutional attention for multi-organ segmentation
A Tri-Path boundary preserving network via Context-aware aggregator for multi-organ medical image segmentation
MACFNet: Multi-attention cross-scale fusion network for OD and OC segmentation
Emotion classification with multichannel physiological signals using hybrid feature and adaptive decision fusion
Obstructive sleep apnea event prediction using recurrence plots and convolutional neural networks (RP-CNNs) from polysomnographic signals
Learning spatiotemporal lip dynamics in 3D point cloud stream for visual voice activity detection
A robust non-local total-variation based image registration method under illumination changes in medical applications
Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects
An efficient hybrid LSTM-ANN joint classification-regression model for PPG based blood pressure monitoring
A data-driven brain network modeling for epileptogenic spread analysis
Real-time flow impedance evaluation method for ultra-fast early detection of aneurysmal diseases
NMNet: Learning Multi-level semantic information from scale extension domain for improved medical image segmentation
A cross-session non-stationary attention-based motor imagery classification method with critic-free domain adaptation
FiboNeXt: Investigations for Alzheimer's Disease detection using MRI
Video-based heart rate estimation with spectrogram signal quality ranking and fusion
CNN-LSTM for automatic emotion recognition using contactless photoplythesmographic signals
Retinal microaneurysm detection based on transformation splicing and multi-context ensemble learning
Needle insertions modeling: Identifiability and limitations
SwinGhostU-Net: A 3D U-shaped network combined with swin transformer and ghost convolution for brain tumor segmentation
DFU-FuzzyLiteUNet: A lightweight u-net with Fuzzy sigmoid and lite transformer for diabetic foot ulcer segmentation
ZFNet and deep Maxout network based cancer prediction using gene expression data
Controlling False-Positives in Automatic Lung Nodule Detection by Adding 3D Cuboid Attention to a Convolutional Neural Network
A deep transfer learning network with two classifiers based on sample selection for motor imagery brain-computer interface
Intelligent cost-effective bio-medical type-3 fuzzy model and controller
Multi-source domain adaptation with spatio-temporal feature extractor for EEG emotion recognition
An automated chest X-ray analysis for COVID-19, tuberculosis, and pneumonia employing ensemble learning approach
Seizure activity classification based on bimodal Gaussian modeling of the gamma and theta band IMFs of EEG signals
SimFuPulse: A self-similarity supervised model for remote photoplethysmography extraction from facial videos
A physiological basis for control of a prosthetic hand
YOLO-HV: A fast YOLOv8-based method for measuring hemorrhage volumes
Adaptive dynamic quadrature demodulation with autoregressive spectral estimation in ultrasound imaging
Impact and mitigation of blind filtering in automatic ECG analysis for wearable sensors
Robust dynamic output feedback control of blood glucose level in diabetic rat with robust descriptor Kalman filter
Multi-parametric MRI based radiomics with tumor subregion partitioning for differentiating benign and malignant soft-tissue tumors
Damping of vocal fold oscillation at voice offset
Pattern recognition based on HD-sEMG spatial features extraction for an efficient proportional control of a robotic arm
Analyzing subcortical structures in Alzheimer's disease using ensemble learning
A neurophysiological model based on resting state EEG functional connectivity features for assessing semantic long-term memory performance
A novel method for detecting R-peaks in electrocardiogram (ECG) signal
Automatic spinal Cobb angle measurements from X-ray images using a novel vertebra centroid radiation landmark detection network
Fuse-Former: An interpretability analysis model for rs-fMRI based on multi-scale information fusion interaction
Deep feature extraction method based on ensemble of convolutional auto encoders: Application to Alzheimer's disease diagnosis
Identifying out of distribution samples for skin cancer and malaria images
Automated human emotion recognition using hybrid approach based on sensitivity analysis on residual time-frequency plane with online learning algorithm
MShNet: Multi-scale feature combined with h-network for medical image segmentation
FEDA: Fine-grained emotion difference analysis for facial expression recognition
WTCM-UNet: A hybrid CNN-SSM framework combining wavelet transform for medical image segmentation
Lossless medical image compression based on anatomical information and deep neural networks
A machine learning model for emotion recognition from physiological signals
Weakly supervised brain image segmentation guided by texture knowledge
Comparative analysis of machine learning frameworks for automatic polyp characterization
PSO-PSP-Net + InceptionV3: An optimized hyper-parameter tuned Computer-Aided Diagnostic model for liver tumor detection using CT scan slices
Speckle noise reduction for medical ultrasound images based on cycle-consistent generative adversarial network
Hybrid framework for respiratory lung diseases detection based on classical CNN and quantum classifiers from chest X-rays
Introducing a novel fast algebraic reconstruction technique and advancing 3D image reconstruction in a specialized bioimaging system
An efficient framework based on large foundation model for cervical cytopathology whole slide image screening
Research on mental load state recognition based on combined information sources
Optimized variational mode decomposition algorithm based on adaptive thresholding method and improved whale optimization algorithm for denoising magnetocardiography signal
A new automatic method for the detection of limb movements and the analysis of their periodicity
Deployment of efficient MANET testbed using aggregation based archive population optimization
Block chain-enabled IoMT framework for secure and reliable breast cancer detection using optimized diffusion variational graph neural network
Variable speed of sound compensation in the linear-array photoacoustic tomography using a multi-stencils fast marching method
Compact Pyramidal dense mixed attention network for Diabetic retinopathy severity prediction under deep learning
CIFF-Net: Contextual image feature fusion for Melanoma diagnosis
An automated glaucoma screening system using cup-to-disc ratio via Simple Linear Iterative Clustering superpixel approach
PFSNet: A prototypical federated siamese network for few-shot cervical cancer detection
AFR: An image-aided diagnostic approach for ulcerative colitis
Control of work rate-driven exercise facilitates cardiopulmonary training and assessment during robot-assisted gait in incomplete spinal cord injury
A study of non-invasive Patlak quantification for whole-body dynamic FDG-PET studies of mice
Stochastic weight averaging enhanced temporal convolution network for EEG-based emotion recognition
A novel compression method for Vectorcardiogram signal using hybrid autoencoder model
Elevated correlations in cardiac-neural dynamics: An impact of mantra meditation on stress alleviation
Ovarian cancer diagnostics using wavelet packet scaling descriptors
Myoelectric control systems - A survey
A hybrid dwarf mongoose and artificial ecosystem-based EEG channel optimization for Schizophrenia detection
Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation
Detection of decreases in the amplitude fluctuation of pulse photoplethysmography signal as indication of obstructive sleep apnea syndrome in children
A synergistic framework for histopathologic cancer detection using Epicurve Search -PSB model with surrosec Optimizer
Time-varying delay estimators for measuring muscle fiber conduction velocity from the surface electromyogram
DFF-U-NET: Deep features fusion u-net for bone marrow cells classification using advanced feature selection techniques
Stress and anxiety detection using facial cues from videos
Semi-supervised COVID-19 volumetric pulmonary lesion estimation on CT images using probabilistic active contour and CNN segmentation
A multi-stream spatio-temporal network based behavioural multiparametric pain assessment system
A complementary note for the analytical method to estimate individual attention fluctuation using steady-state evoked potentials
Epilepsy and seizure characterisation by multifractal analysis of EEG subbands
Detecting hemorrhage types and bounding box of hemorrhage by deep learning
RBHHM: A novel remote cardiac cycle detection model based on heartbeat harmonics
SegDRoWS: Segmentation of diabetic retinopathy lesions by a whole-stage multi-scale feature fusion network
Outliers detection for accurate HRV-seizure baseline estimation using modern numerical algorithms
Contrastive Learned Self-Supervised Technique for Fatty Liver and Chronic Liver Identification
Quantitative sleep EEG synchronization analysis for automatic arousals detection
On local active contour model for automatic detection of tumor in MRI and mammogram images
Respiratory cycle related EEG changes: Modified respiratory cycle segmentation
Application of intelligent automatic segmentation and 3D reconstruction of inferior turbinate and maxillary sinus from computed tomography and analyze the relationship between volume and nasal lesion
Abc-based weighted voting deep ensemble learning model for multiple eye disease detection
An EMD-based approach for atrial fibrillation classification using wavelets and convolutional neural network
Pixel-level structure awareness for enhancing multi-modal medical image fusion
Visual exploratory analysis of DCE-MRI data in breast cancer by dimensional data reduction: A comparative study
Parameter investigation of topological data analysis for EEG signals
Cervical precancerous lesions classification using pre-trained densely connected convolutional networks with colposcopy images
Uterine contractile efficiency indexes for labor prediction: A bivariate approach from multichannel electrohysterographic records
KAN-MemViT: A memory cached vision transformer with Kolmogorov-Arnold network for seizure prediction
MG-CNFNet: A multiple grained channel normalized fusion networks for medical image deblurring
Neonatal EEG classification using a compact support separable kernel time-frequency distribution and attention-based CNN
Low dose 4D-CT super-resolution reconstruction via inter-plane motion estimation based on optical flow
A study on the representation of QRS complexes with the optimum number of Hermite functions
Improved feature ranking fusion process with Hybrid model for crop yield prediction
EEG-based brain connectivity analysis in autism spectrum disorder: Unraveling the effects of bumetanide treatment
Estimation of heartbeat rate from speech recording with hybrid feature vector (HFV)
A comparison between neural and fuzzy cluster analysis techniques for functional MRI
Noise estimation in 2D MRI using DWT coefficients and optimized neural network
Novel content based medical image retrieval based on BoVW classification method
Quantitative analysis of myocardial fibrosis using a deep learning-based framework applied to the 17-Segment model
Automated detection of abnormalities from an EEG recording of epilepsy patients with a compact convolutional neural network
Identification of two-dimensional passive motion model of a knee joint
Control for Carbon Dioxide Exchange Process in a Membrane Oxygenator Using Online Self-Tuning Fuzzy-PID Controller
Intelligent interpretation of four lung ultrasonographic features with split attention based deep learning model
Accuracy of point-of-care tele-ultrasonography for assisting ultrasound-naive resident doctors in detecting lower-limb deep venous thrombosis: A prospective controlled trial
Automatic detection of the spike-and-wave discharges in absence epilepsy for humans and rats using deep learning
An efficient error-minimized random vector functional link network for epileptic seizure classification using VMD
EEG characteristics in "eyes-open" versus "eyes-closed" condition during vibrotactile stimulation
PCAFGNet: Principal component analysis network GoogleNet for spinal cord injury classification
A non-invasive test method for type-2 diabetes mellitus by pulse waveform fitting
SPSNet: A spiking neural network with relation graphs for sleep stage classification based on polysomnography
SSR-Mam2MIL: Spatial sequence reordering Mamba2 based multiple instance learning for computational pathology