yusuke1997/dblp-id-title huggingface dataset:
A novel method based on independent component analysis for brain MR image tissue classification into CSF, WM and GM for atrophy detection in Alzheimer's disease
LNDCNN: A lung nodule detection model based on improved YOLOv7
scCAT: Single-cell Combined graph Attentional clustering for scRNA-seq analysis
Deep learning detection network for peripheral blood leukocytes based on improved detection transformer
Insulin infusion rate control in type 1 diabetes patients using information-theoretic model predictive control
Emotion recognition using heterogeneous convolutional neural networks combined with multimodal factorized bilinear pooling
Non-negative matrix factorization for speech/music separation using source dependent decomposition rank, temporal continuity term and filtering
Adaptive Multi-Scale Convolution and Local Attention for single-channel EEG sleep staging
Efficient detection of myocardial infarction from single lead ECG signal
Residual neural networks based on empirical mode decomposition for mitral regurgitation prediction
RCNU-Net: Reparameterized convolutional network with convolutional block attention module for improved polyp image segmentation
Accurate point correspondences using a modified coherent point drift algorithm
Deep transfer learning for automated liver cancer gene recognition using spectrogram images of digitized DNA sequences
Direction-guided network for retinal vessel segmentation in OCTA images
Joint probabilistic modeling analysis of head and eye behaviors in autism spectrum disorder children based on a social interaction paradigm
Enhancing real-time health monitoring with hybrid recurrent long short-term tyrannosaurus search for menstrual cups
Denoising of ECG signals using weighted stationary wavelet total variation
Advancing classroom fatigue recognition: A multimodal fusion approach using self-attention mechanism
A new priority-based dynamic protocol for multiple access control improves data transfer rates in WBANs
Enhancement of artery visualization in contrast-enhanced cerebral MR angiography using generative neural networks
Force myography controlled multifunctional hand prosthesis for upper-limb amputees
Design on a wireless mechanomyography acquisition equipment and feature selection for lower limb motion recognition
Exploring heterogeneous data distribution issues in e-health federated systems
A hybrid of deep and textural features to differentiate glomerulosclerosis and minimal change disease from glomerulus biopsy images
Multimodal image fusion and denoising in NSCT domain using CNN and FOTGV
Locally-adaptive feature selection for nonconvulsive seizure detection
Introducing DEFORMISE: A deep learning framework for dementia diagnosis in the elderly using optimized MRI slice selection
A neural network-based model for lower limb continuous estimation against the disturbance of uncertainty
DMCFMDA: A dual-channel multi-source cross-modal fusion network with contrastive learning for microbe-disease prediction
Automated sleep apnea detection in snoring signal using long short-term memory neural networks
New strategy to control covid-19 pandemic using lead/lag compensator
ARF-Net: An Adaptive Receptive Field Network for breast mass segmentation in whole mammograms and ultrasound images
Separable and reversible data hiding scheme for medical images using modified Logistic and interpolation
EEG-based texture roughness classification in active tactile exploration with invariant representation learning networks
Cross-coupled parallel transformer encoder for biological image segmentation
A spatiotemporal feature-based early-stage cervical cancer diagnostic report generation method using bimodal image
Evolving control of human-exoskeleton system using Gaussian process with local model
SAM-MyoNet: A fine-grained perception myocardial ultrasound segmentation network based on segment anything model with prior knowledge driven
Extended habituating model predictive control of propofol and remifentanil anesthesia
Electroporation threshold, conductivity and memory effect in rat liver
Intracardiac volume calculation of right ventricular chamber - A theoretical method
Comparison of decision tree algorithms for EMG signal classification using DWT
The effects of peeling on finite element method -based EEG source reconstruction
Image quality improvement of magneto-acousto-electrical tomography with Barker coded excitation
An efficient heart sound segmentation approach using kurtosis and zero frequency filter features
Asymmetric measures of polar Chebyshev chaotic map for discrete/dimensional emotion recognition using PPG
Efficient classification of ventricular arrhythmias using feature selection and C4.5 classifier
Towards accurate and interpretable brain tumor diagnosis: T-FSPANNet with Tri-Attribute and pyramidal attention-based feature fusion
Graph based method for cell segmentation and detection in live-cell fluorescence microscope imaging
Medical image fusion based on enhanced three-layer image decomposition and Chameleon swarm algorithm
Using chemosensory-induced EEG signals to identify patients with de novo Parkinson's disease
Comparison of various fractal analysis methods for retinal images
Multi-class Alzheimer's disease classification using image and clinical features
Orthogonal Golay excitation for range side lobe elimination in dual-frequency harmonic imaging
Fusion of eyes-open and eyes-closed electroencephalography in resting state for classification of major depressive disorder
Lung SoundNet: SUSCC LSTM - A novel approach for automated lung sound diagnosis
Detection of fixations and smooth pursuit movements in high-speed eye-tracking data
CBAM-LSTM-attention enabled human emotion recognition using EEG signals
Latent lip print classification using mobilenet for Forensic Investigations
Long-range correlation analysis of high frequency prefrontal electroencephalogram oscillations for dynamic emotion recognition
Effects of objects and image quality on melanoma classification using Spatio Temporal Joint graph Convolutional Network
An intravascular optical coherence tomography technique for in vivo carotid intima-media thickness measurement and mechanical characterization
Diagnosis of pes planus from X-ray images: Enhanced feature selection with deep learning and machine learning techniques
Classifying infant cry patterns by the Genetic Selection of a Fuzzy Model
Denoising of magnetic resonance imaging using Bayes shrinkage based fused wavelet transform and autoencoder based deep learning approach
Dynamical system modelling to discriminate tissue types for bipolar electrosurgery
A ranking-based multi-scale feature calibration network for nuclear cataract grading in AS-OCT images
A steganography embedding method based on CDF-DWT technique for data hiding application using Elgamal algorithm
ViT-CB: Integrating hybrid Vision Transformer and CatBoost to enhanced brain tumor detection with SHAP
Revolutionizing diabetic retinopathy diagnosis through advanced deep learning techniques: Harnessing the power of GAN model with transfer learning and the DiaGAN-CNN model
Accurate diabetic retinopathy segmentation and classification model using gated recurrent unit with residual attention network
Pancreatic cancer tumor analysis in CT images using patch-based multi-resolution convolutional neural network
MaxSigNet: Light learnable layer for semantic cell segmentation
Swarm intelligence enhanced machine learning model for predicting prognostic outcome in IgA Nephropathy patients with mild proteinuria
Enhanced melanoma detection using a fuzzy ensemble approach integrating hybrid optimization algorithm
Automatic blood glucose control for type 1 diabetes: A trade-off between postprandial hyperglycemia and hypoglycemia
On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data
Generative adversarial network with transformer generator for boosting ECG classification
Distributed video coding based on classification of frequency bands with block texture conditioned key frame encoder for wireless capsule endoscopy
Mass segmentation and classification from film mammograms using cascaded deep transfer learning
A new method based on Local Binary Gaussian Pattern for classification of rat estrous cycle stages using smear images
Deep representation learning for Nuclear Magnetic Resonance spectral clustering
Efficient semi-supervised hierarchical training for segmenting choroidal vessels and other structures on OCT images of multiple sclerosis patients
X-YOLO: A method for detecting wrist fractures in children based on dynamic feature enhancement and lightweight design
Feature selection using competitive coevolution of bio-inspired algorithms for the diagnosis of pulmonary emphysema
A convolution and transformer-based method with effective stain normalization for breast cancer detection from whole slide images
Incorporating support vector machine to the classification of respiratory sounds by Convolutional Neural Network
Machine Learning-assisted Quorum Sensing Monitoring and Control Systems for Precision Gene Regulation: Revolutionizing Synthetic Biology and Autonomous Therapeutic Applications
Persian emotion elicitation film set and signal database
Lung volume affects the decay of oscillations at the end of a vocal emission
Early diagnosis model of Alzheimer's disease based on sparse logistic regression with the generalized elastic net
A new fractal-based kinetic index to characterize gait deficits with application in stroke survivor functional mobility assessment
Coarse-to-fine hybrid network for robust medical image registration in the presence of large deformations
Automated cervical tumor segmentation on MR images using multi-view feature attention network
Multi-task joint learning network based on adaptive patch pruning for Alzheimer's disease diagnosis and clinical score prediction
Cognitive load detection using adaptive/fixed-frequency empirical wavelet transform and multi-domain feature optimization
Diagnosing gastrointestinal diseases from endoscopy images through a multi-fused CNN with auxiliary layers, alpha dropouts, and a fusion residual block
Quantum-Involution inspire false positive reduction in pulmonary nodule detection
A novel rhinitis prediction method for class imbalance
An advanced deep learning model for iridology based disease diagnosis using Pyramid network driven iris segmentation
Enhancing detection of mild cognitive impairment and epilepsy using EEG-EGG integration via differential distribution analysis
MMDN: Arrhythmia detection using multi-scale multi-view dual-branch fusion network
Review of medical image quality assessment
An amplitude variation Field subtraction technique for visualization of vasculature of the human eye
Distributed data-privacy preserving federated learning method for sleep stage classification
Automated detection of atrial fibrillation in ECG signals based on wavelet packet transform and correlation function of random process
Diagnosis of Parkinson's disease based on 3D ResNet: The frontal lobe is crucial
A novel reformed histogram equalization based medical image contrast enhancement using krill herd optimization
Automatic sign language recognition based on accelerometry and surface electromyography signals: A study for Colombian sign language
Electromagnetic investigation of neuron growth by using pulsed electromagnetic field stimulation
Ensemble of ghost convolution block with nested transformer encoder for dense object recognition
Optical Doppler tomography based on a field programmable gate array
EEG decoding for musical emotion with functional connectivity features
Identifying the mislabeled training samples of ECG signals using machine learning
Computer aided diagnosis system using deep convolutional neural networks for ADHD subtypes
Deep-GHBP: Improving prediction of Growth Hormone-binding proteins using deep learning model
Robust control of a hip-joint rehabilitation robot
Heart signatures: Open-set person identification based on cardiac radar signals
Personalized recognition of wake/sleep state based on the combined shapelets and K-means algorithm
Artificial intelligence breakthrough in diagnosis, treatment, and prevention of colorectal cancer - A comprehensive review
A comparison of upper-limb motion pattern recognition using EMG signals during dynamic and isometric muscle contractions
Feasibility of unobtrusive camera-based heart rate extraction in a clinical interview scenario
Cardiac valves disorder classification based on active valves appearance periodic sequences tree of murmurs
Monkeypox diagnosis based on Dynamic Recursive Gray wolf (DRGW) optimization
Classification of ALS patients based on acoustic analysis of sustained vowel phonations
A hyperdimensional framework: Unveiling the interplay of RBP and GSN within CNNs for ultra-precise brain tumor classification
FCSG-Net: Frequency-domain Cross-scale Gated Network for stroke segmentation
Medical image segmentation of brain tumors and skin lesions using Multi-Convolutional channel residual spatial attention
An explainable hybrid deep learning model for ECG classification of cardiac conditions
Automatic segmentation of coronary arteries using Gabor filters and thresholding based on multiobjective optimization
All signals point to personality: A dual-pipeline LSTM-attention and symbolic dynamics framework for predicting personality traits from Bio-Electrical signals
Mini_ECGNet: a lightweight neural network with adaptive covariance pooling and dilated convolution for noise-robust ECG classification
Multi-scale attention and hypergraph neural network based deep learning framework for prostate cancer classification and segmentation
Spatial fusion of maximum signal fraction analysis for frequency recognition in SSVEP-based BCI
Edge-guided filtering based CT image denoising using fractional order total variation
A forced gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processing
Depolarization spatial variance as a cardiac dyssynchrony descriptor
Optimal sigmoid nonlinear stochastic control of HIV-1 infection based on bacteria foraging optimization method
Novel optimization parameters of power quality disturbances using novel bio-inspired algorithms: A comparative approach
On the use of high-order cumulant and bispectrum for muscular-activity detection
Short-term paroxysmal atrial fibrillation detection with intra- and inter-patient paradigm based on R-R intervals
Multifractal analysis for improved osteoporosis classification
Automatic EEG arousal detection for sleep apnea syndrome
Time-frequency analysis of laser speckle contrast for transcranial assessment of cerebral blood flow
ECG signal generation based on conditional generative models
Manifold reconstructed semi-supervised domain adaptation for histopathology images classification
A High performance electronic nose system for the recognition of myocardial infarction and coronary artery diseases
Heuristically Improvised rice disease classification framework based on adaptive segmentation with the fusion of LSTM layer into Multi-Scale Residual attention Network
A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network
Quantitative ultrasound augmented with machine learning to assess tissue microstructure during wound healing
Skin whole slide image segmentation using lightweight-pruned transformer
SignViT: An enhanced vision transformer framework for Attention-Based sign language hand gesture recognition
Multi-stage temporal and cross-view contrastive learning for self-supervised multi-lead ECG classification
Dual-stream parallel model of cartilage injury diagnosis based on local centroid optimization
RVEB - An algorithm for recognizing voluntary eye blinks based on the signal recorded from prefrontal EEG channels
Ridge and furrow pattern classification for acral lentiginous melanoma using dermoscopic images
A deep learning model using data augmentation for detection of architectural distortion in whole and patches of images
Feature selection based on game theory optimization to achieve desired performance metrics in seizure onset detection
Multimodal Real-Time patient emotion recognition system using facial expressions and brain EEG signals based on Machine learning and Log-Sync methods
SBDF-Net: A versatile dual-branch fusion network for medical image segmentation
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach
A novel pilot study of automatic identification of EMF radiation effect on brain using computer vision and machine learning
Classification of surface electromyography and gyroscopic signals of finger gestures acquired by Myo armband using machine learning methods
Classification of inter-ictal and ictal EEGs using multi-basis MODWPT, dimensionality reduction algorithms and LS-SVM: A comparative study
Hybrid feature fusion and randomized regression network for brain age prediction using magnetic resonance imaging: Analyzing age-related cortical structure variations in healthy adults
Bone fracture detection and classification using node-level capsule graph neural network with X-ray images of broken and unbroken bones
An improved QRS complex detection method having low computational load
Enhancing brain MRI data visualization accuracy with UNET and FPN networks
BioMIFormer: Biologically inspired spatiotemporal transformer for motor imagery EEG interpretation
Identification of asthma severity levels through wheeze sound characterization and classification using integrated power features
Open-source Python software for analysis of 3D kinematics from quadrupedal animals
Improving cross-session motor imagery decoding performance with data augmentation and domain adaptation
A framework for seizure detection using effective connectivity, graph theory, and multi-level modular network
Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis
MSFB-Net: Multi-scale frequency compound attention and cross-layer boundary optimization for medical image segmentation
Automatic aid diagnosis report generation for lumbar disc MR image based on lightweight artificial neural networks
MUCM-FLLs: Multimodal ultrasound-based classification model for focal liver lesions
Mental stress detection and performance enhancement using fNIRS and wrist vibrator biofeedback
Inter-patient heartbeat classification based on region feature extraction and ensemble classifier
Spectral representation of EEG data using learned graphs with application to motor imagery decoding
Minimally parametrized segmentation framework with dual metaheuristic optimisation algorithms and FCM for detection of anomalies in MR brain images
MSSAFN: A multiscale structure-aware spatial fusion network for Alzheimer's disease classification
ENResNet: A novel residual neural network for chest X-ray enhancement based COVID-19 detection
SwinSAM: Fine-grained polyp segmentation in colonoscopy images via segment anything model integrated with a Swin Transformer decoder
Decoding self-automated and motivated finger movements using novel single-frequency filtering method - An EEG study
Wavelet-transformer hybrid network for robust breast ultrasound image segmentation with multi-scale feature fusion and global context modeling
A practical wearable fall detection system based on tiny convolutional neural networks
SSL-OHE: A self-supervised ensemble approach for early diagnosis of biliary atresia from sonographic images
Influence of neuromuscular electrical stimulation pulse waveform on corticomuscular coupling and the brain functional connectivity network
Multivariate EEG spectral analysis evidences the functional link between motor and visual cortex during integrative sensorimotor tasks
Ultrasound scatter-spacing based diagnosis of focal diseases of the liver
Sensitivity of the surrogate analysis method to synchronization and conduction velocity of muscular fibers
Patch-level contrastive embedding learning for respiratory sound classification
From markers to model: Personalized lower limb skeletal reconstruction based on statistical shape models
An optimized GMM algorithm and its application in single-trial motor imagination recognition
Multi-domain fusion network: A novel approach to OCTA image segmentation in diabetic retinopathy
Advancing cardiovascular risk prediction: A fusion of SVM models with fuzzy logic and the Sugeno integral
Speech emotion recognition using deep 1D & 2D CNN LSTM networks
A Kalman filtering based adaptive threshold algorithm for QRS complex detection
A deep learning-based hand motion classification for hand dysfunction assessment in cervical spondylotic myelopathy
Towards accurate diabetic retinal disease detection using advanced deep metric learning
Deep learning models-based CT-scan image classification for automated screening of COVID-19
Towards non-invasive blood glucose measurement using machine learning: An all-purpose PPG system design
A blood pressure estimation approach based on single-channel photoplethysmography differential features
Human identification based on accelerometer sensors obtained by mobile phone data
Jump motion intention recognition and brain activity analysis based on EEG signals and Vision Transformer model
Topological data analysis assisted automated sleep stage scoring using airflow signals
An adaptive approach for securing patient data in intellectual disability care with 8D Hyperchaotic DNA encryption and IWT
Automated detection of fibrillations and flutters based on fused feature set and ANFIS classifier
A Stochastic Optimal Control Model with Internal Feedback and Velocity Tracking for Saccadic Eye Movements
Multi-pattern learning and multi-mapping graph convolutional networks for Alzheimer's disease diagnosis
An adaptive RV measure based fuzzy weighting subspace clustering (ARV-FWSC) for fMRI data analysis
MT-MV-KDF: A novel Multi-Task Multi-View Knowledge Distillation Framework for myocardial infarction detection and localization
AI-based tuberculosis detection and localization in chest X-rays using a Binarized Simplicial Convolutional Neural Network for efficient and accurate diagnosis
Classification of gait rhythm signals between patients with neuro-degenerative diseases and normal subjects: Experiments with statistical features and different classification models
Feature fusion-based ensemble CNN learning optimization for automated detection of pediatric pneumonia
Design and implementation of reconfigurable filter bank structure for low complexity hearing aids using 2-level sound wave decomposition
Enhancing motor imagery task recognition through local maximum synchro-squeezing transform and multi-domain features
Abnormal gait partitioning and real-time recognition of gait phases in children with cerebral palsy
Multi-objective T-S fuzzy control of Covid-19 spread model: An LMI approach
Transformer based on the prediction of psoriasis severity treatment response
HET-RL: Multiple pulmonary disease diagnosis via hybrid efficient transformers based representation learning model using multi-modality data
Pixel attention meets M-shaped networks: A cutting-edge AI solution for diabetic retinopathy classification and stroke risk prediction
LHSPred: A web based application for predicting lung health severity
A lightweight and accurate double-branch neural network for four-class motor imagery classification
Depression detection from speech signals using a multiple temporal-frequency scale Channel Attention Mechanism
Machine-learning-enabled adaptive signal decomposition for a brain-computer interface using EEG
HMM-based gesture recognition for eye-swipe typing
Breast cancer classification by a new approach to assessing deep neural network-based uncertainty quantification methods
High accurate detection method for aortic valve opening of seismocardiography signals
Highly accurate multiclass classification of respiratory system diseases from chest radiography images using deep transfer learning technique
Remote blood pressure measurement from near-infrared face images: A comparison of the accuracy by the use of first and second biological optical window
Transfer learning and SpecAugment applied to SSVEP based BCI classification