yusuke1997/dblp-id-title huggingface dataset:
Variance-based signal conditioning technique: Comparison to a wavelet-based technique to improve spike detection in multiunit intrafascicular recordings
A new supervised retinal vessel segmentation method based on robust hybrid features
TQ-cGAN: A Trible-Generator Quintuple-Discriminator Conditional Generative Adversarial Network for multimodal grayscale medical image fusion
MRI intracranial Neoplasm classification using hybrid LOA-based deep learning classifier
Response of a human visual system to continuous color variation: An EEG-based approach
Electrocardiographic alternans as an additional criterion for cardioverter defibrillator implantation in primary prevention of sudden cardiac death
Analysis of sensorimotor rhythms for the implementation of a brain switch for healthy subjects
Sensor data analysis and development of machine learning models for detection of glaucoma
Whole slide images classification model based on self-learning sampling
Improving random walker segmentation using a nonlocal bipartite graph
Super-Resolution ultrasound imaging identifies hippocampal microvascular changes in patients with type 2 diabetes
GMetaNet: Multi-scale ghost convolutional neural network with auxiliary MetaFormer decoding path for brain tumor segmentation
Recognition of human mood, alertness and comfort under the influence of indoor lighting using physiological features
Classification of non-small cell lung cancer types using sparse deep neural network features
Eye-state analysis using an interdependence and adaptive scale mean shift (IASMS) algorithm
MRI based medical image analysis: Survey on brain tumor grade classification
A skin cancer diagnosis system for dermoscopy images according to deep training and metaheuristics
Anatomical sites identification in both ordinary and capsule gastroduodenoscopy via deep learning
Development of computational system for short-time biological signal acquisition
Within and between electrophysiology networks for EEG and EMG under different thumb forces
Edge-guided and hierarchical aggregation network for robust medical image segmentation
Computational model for breast cancer diagnosis using HFSE framework
Sustained attention variation monitoring through EEG effective connectivity
Computer-aided diagnosis of cataract using deep transfer learning
Eye tracking based deep learning analysis for the early detection of diabetic retinopathy: A pilot study
Self-DenseMobileNet: A robust framework for lung nodule classification using Self-ONN and stacking-based meta-classifier
Automatic segmentation of facial soft tissue in MRI data based on non-rigid normalization in application to soft tissue thickness measurement
An application of the Kalman filter for EEG/ERP signal enhancement with the autoregressive realisation
EEG intentions recognition in dynamic complex object control task by functional brain networks and regularized discriminant analysis
Local and global measures of information storage for the assessment of heartbeat-evoked cortical responses
Switch fusion for continuous emotion estimation from multiple physiological signals
TASTE:Triple-attention with weighted skeletonized Tversky loss for enhancing airway segmentation accuracy
A systematic review on fatigue analysis in triceps brachii using surface electromyography
SGBTransNet: Bridging the semantic gap in medical image segmentation models using Transformers
Fractal analysis of knee-joint vibroarthrographic signals via power spectral analysis
Nonlinear features of photoplethysmography signals for Non-invasive blood pressure estimation
Choroidal vessel segmentation in SD-OCT with 3D Shape-aware Adversarial Networks
Differentiation of Alzheimer conditions in brain MR images using bidimensional multiscale entropy-based texture analysis of lateral ventricles
Multi-task thyroid tumor segmentation based on the joint loss function
A tumor inpainting framework for MRI using automated masks based on channel-specific conditions across the volume
A Multi-Layer blood vessel enhancement method for endoscopic images
Precise T-wave endpoint detection using polynomial fitting and natural geometric approach algorithm
A deep learning approach to segmentation of nasopharyngeal carcinoma using computed tomography
Depression status identification using autoencoder neural network
IDC-Net: Multi-stage Registration Network Using Intensity Adjustment, Dual-Stream and Cost Volume
Topological inference and correlation of signals with application to electroencephalography in epilepsy
An intelligent heart disease prediction system using hybrid deep dense Aquila network
Robust semantic learning for precise medical image segmentation
Bionic soft robotic glove with EMG-based gesture and grip strength synchronized prediction for grasping assistance
Rapid and accurate classification of retinal OCT diseases using reparameterized one-dimensional convolutional networks
Control the position of a fluid sip by neural network controller
EOG-based eye movement detection and gaze estimation for an asynchronous virtual keyboard
Characterization of Parkinson's disease dysarthria in terms of speech articulation kinematics
Continuous, noninvasive blood pressure estimation using forehead NIRS-PPG and LSTM-CNN deep learning
Toward a bio-inspired rehabilitation aid: sEMG-CPG approach for online generation of jaw trajectories for a chewing robot
A phenomenological model of EEG based on the dynamics of a stochastic Duffing-van der Pol oscillator network
Intelligent diagnosis algorithm for thyroid nodules based on deep learning and statistical features
PLIMSeg: Pathology language-image matching for weakly supervised semantic segmentation of histopathology images
D-t-SNE: Predicting heart disease based on hyper parameter tuned MLP
Oral cancer detection model in distributed cloud environment via optimized ensemble technique
Methods for derivation of orthogonal leads from 12-lead electrocardiogram: A review
Multi-label recognition of facial body constitution via MLP-like deep networks with non-equilibrium weight loss
Fractal analysis tools for early assessment of liver inflammation induced by chronic consumption of linseed, palm and sunflower oils
DLGAN: Undersampled MRI reconstruction using Deep Learning based Generative Adversarial Network
A new selective segmentation model for texture images and applications to medical images
Transforming vibroarthrogram to the angle domain improves function-structure integration
Using wavelet phase coherence of heart rate variability and blood flow oscillations to compare mechanisms of action between Tai Chi mind-body exercise and brisk walking aerobic exercise
BTS U-Net: A data-driven approach to brain tumor segmentation through deep learning
Denoising of Rician corrupted 3D magnetic resonance images using tensor -SVD
HetMS-AMRGNN: Heterogeneous multi-scale graph neural network for antimicrobial drug recommendation in electronic health records
Automated non-contact detection of central apneas using video
Safe-level SMOTE method for handling the class imbalanced problem in electroencephalography dataset of adult anxious state
Detection of alertness-related EEG signals based on decision fused BP neural network
Open-set lung sound recognition model based on conditional Gaussian capsule network and variational time-frequency feature reconstruction
Deep insights into gastrointestinal health: A comprehensive analysis of GastroVision dataset using convolutional neural networks and explainable AI
BP-Net: Cuff-less and non-invasive blood pressure estimation via a generic deep convolutional architecture
Classification of EEG signals using Transformer based deep learning and ensemble models
Automatic classification of retinal diseases with transfer learning-based lightweight convolutional neural network
DIO-REGNET: Macular edema detection using Dingo optimized deep Reg network
A lightweight variable-channel deep self-attention model for depression classification based on raw EEG signals
Atrous spatial pyramid pooling assisted automatic segmentation model and ellipse fitting approach based fetal head segmentation and head circumference measurement
Domain Adaptation-Based deep learning model for forecasting and diagnosis of glaucoma disease
Clustering based lung lobe segmentation and optimization based lung cancer classification using CT images
A lexicon-based approach to detecting suicide-related messages on Twitter
A generative adversarial network with multi-scale convolution and dilated convolution res-network for OCT retinal image despeckling
Sensor-based detection and estimation of meal carbohydrates for people with diabetes
An adaptive driver fatigue classification framework using EEG and attention-based hybrid neural network with individual feature subsets
Retinal image registration using topological vascular tree segmentation and bifurcation structures
Improving deep learning based segmentation of scars using multi-view images
Unidirectional LSTM-based 3D reaching trajectory prediction using selected magnetometer-only SQUID-MEG channels
EEG-based emotion recognition using simple recurrent units network and ensemble learning
IRNetv: A deep learning framework for automated brain tumor diagnosis
Wavelet based electroretinographic signal analysis for diagnosis
SSCK-Net: Spine segmentation in MRI based on cross attention and key-points recognition-assisted learner
An attention-based multi-resolution deep learning model for automatic A-phase detection of cyclic alternating pattern in sleep using single-channel EEG
FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection
Discrimination between ischemic and artifactual ST segment events in Holter recordings
An "optical flow" method based on pressure sensors data for quantification of Parkinson's disease characteristics
Analysis of an experimental model of in vitro cardiac tissue using phase space reconstruction
Improving EEG signal-based emotion recognition using a hybrid GWO-XGBoost feature selection method
Gesture recognition of sEMG signal based on GASF-LDA feature enhancement and adaptive ABC optimized SVM
InMRSALnet: A method for diagnosing arteriovenous fistula stenosis based on blood flow sounds
An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image
ECG-based heartbeat classification using exponential-political optimizer trained deep learning for arrhythmia detection
Combining deep learning and model-based method using Bayesian Inference for walking speed estimation
Automatic determination of aortic compliance based on MRI and adapted curvilinear detector
Multi-View Separable Residual convolution neural Network for detecting Alzheimer's disease progression
Automated lateralization of temporal lobe epilepsy with cross frequency coupling using magnetoencephalography
LungDetectNet: a multi-task deep learning framework with enhanced detection and descriptive capabilities
Wavelet weighted blood vessel distortion measure for retinal images
Faster Region-Convolutional Neural network oriented feature learning with optimal trained Recurrent Neural Network for bone age assessment for pediatrics
A novel real-time wireless sensor integration for enhancing positive pressure system operation in single limb passive vented circuit
A deep learning based four-fold approach to classify brain MRI: BTSCNet
Breast cancer: Classification of suspicious regions in digital mammograms based on capsule network
A multi-view CNN encoding for motor imagery EEG signals
Breast ultrasound image classification with hard sample generation and semi-supervised learning
Scalogram sets based motor imagery EEG classification using modified vision transformer: A comparative study on scalogram sets
A novel hybrid GRU-CNN and residual bias (RB) based RB-GRU-CNN models for prediction of PTB Diagnostic ECG time series data
Robust zero-watermarking algorithm for multi-medical images based on FFST-Schur and Tent mapping
Developing a knee meniscus tear detection system using Rigdelet Neural Network and improved Genghis Khan Shark Optimizer
Continuous blood pressure monitoring based on transformer encoders and stacked attention gated recurrent units
Effects of obesity on time-frequency components of electroretinogram signal using continuous wavelet transform
Bridging motor execution and motor imagery BCI paradigms: An inter-task transfer learning approach
SPMamba: Spinal image segmentation via Mamba framework with hierarchical feature fusion and channel sorting
Self-supervised inter-intra period-aware ECG representation learning for detecting atrial fibrillation
DETisSeg: A dual-encoder network for tissue semantic segmentation of histopathology image
A physiologically-based approach to model-predictive control of anesthesia and analgesia
Segmentation and classification of intervertebral disc using capsule stacked autoencoder
Parkinson's disease detection from voice signals using adaptive frequency attribute topology
Enhancing breast cancer histopathological image classification: The impact of stain normalization on multilevel feature extraction
Evaluation of the Electroglottographic signal variability by amplitude-speed combined analysis
DE-Net: Detail-enhanced MR reconstruction network via global-local dependent attention
Blind extraction of fetal and maternal components from the abdominal electrocardiogram: An ICA implementation for low-dimensional recordings
Exploring interpretable representations for heart sound abnormality detection
Variable impedance interaction and demonstration interface design based on measurement of arm muscle co-activation for demonstration learning
Automatic focal EEG identification based on deep reinforcement learning
Unlabeled skin lesion classification by self-supervised topology clustering network
DeepSyncNet:Deep synchronized fusion network for EEG-fNIRS multimodal brain-computer interfaces
Intelligent motion pattern classification: An in-depth analysis of seated balance in spinal cord injury patients during 16-form wheelchair Tai Chi
Effects of spatial regularization on kinetic parameter estimation for dynamic PET
Renal tumors segmentation in abdomen CT Images using 3D-CNN and ConvLSTM
Improved nearest neighbor interpolators based on confidence region in medical image registration
Hybrid voice activity detection system based on LSTM and auditory speech features
DIA-VXNET: A framework for automated diabetic eye disease detection using transfer learning with feature fusion network
CG-Recognizer: A biosignal-based continuous gesture recognition system
Unified classification and segmentation of liver tumors using shifted window transformer networks with incremental learning
Non-rigid registration of biomedical image for radiotherapy based on adaptive feature density flow
Simultaneous hand/wrist motion recognition and continuous grasp force estimation based on nonlinear spectral sEMG features for transradial amputees
Heart rate estimation from photoplethysmography signal for wearable health monitoring devices
Experimental investigation on minimum frame rate requirements of high-speed videoendoscopy for clinical voice assessment
CNN-FEBAC: A framework for attention measurement of autistic individuals
Deep learning-based comparative evaluation of EEG, HRV, and EDA biomarkers for personal thermal comfort prediction
ICAD-SegNet: Efficient and accurate semi-automatic segmentation of Intracranial atherosclerotic plaques based on low-rank adaptation
Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images
Parkinson's disease classification and prediction via adaptive sparse learning from multiple modalities
Convolutional neural networks-based method for skin hydration measurements in high resolution MRI
Optimized adaptive noise canceller for denoising cardiovascular signal using SOS algorithm
Automated CT pancreas segmentation for acute pancreatitis patients by combining a novel object detection approach and U-Net
DFCAFNet: Dual-feature co-attentive fusion network for diabetic retinopathy grading
3D tooth segmentation in cone-beam computed tomography images using distance transform
Identification of gait imagery based on fNIRS and class-dependent sparse representation
SMANet: Superpixel-guided multi-scale attention network for medical image segmentation
A convolutional neural networks with spatial configuration and attention mechanism for Tanner-Whitehouse 3 bone age assessment
Prior-enhanced attribute embedding for predicting chemoradiotherapy sensitivity in SNSCC patients
Human identification driven by deep CNN and transfer learning based on multiview feature representations of ECG
ACANet: Adaptive Contour Aware Nucleus Segmentation Network
Skip-AttSeqNet: Leveraging skip connection and attention-driven Seq2seq model to enhance eye movement event detection in Parkinson's disease
A novel method based on Adaptive Periodic Segment Matrix and Singular Value Decomposition for removing EMG artifact in ECG signal
Multi-scale dual domain network for nonlinear magnetization signal filtering in magnetic particle imaging
Towards automatic forecasting of lung nodule diameter with tabular data and CT imaging
A novel multi-source contrastive learning approach for robust cross-subject emotion recognition in EEG data
Few-shot multi-modal registration with mono-modal knowledge transfer
Automated estimation of clinical parameters by recurrence quantification analysis of surface EMG for agonist/antagonist muscles in amputees
PY-Net: Rethinking segmentation frameworks with dense pyramidal operations for optic disc and cup segmentation from retinal fundus images
Design and evaluation of portable emergency ventilator prototype with novel titration methods
ResQu-Net: Effective prostate's peripheral zone segmentation leveraging the representational power of attention-based mechanisms
Segmentation and detection of skin cancer using deep learning-enabled artificial Namib beetle optimization
Statistical processing of time slices of electroencephalography signals during brain reaction to visual stimuli
A contralateral channel guided model for EEG based motor imagery classification
Interactive attention and improved GCN for continuous sign language recognition
A segmentation model for breast cancer images - FAUNet
Influence of EMG-signal processing and experimental set-up on prediction of gait events by neural network
An adaptive backstepping based non-linear controller for artificial pancreas in type 1 diabetes patients
Breathing rate asymmetry for intrapartum detection of severe preeclampsia using machine learning classifiers
Building and training a deep spiking neural network for ECG classification
A self-supervised learning-based dual-branch network for semantic segmentation of H&E stained images
Optical surface imaging-driven tumor tracking with deformable image registration-enhanced deep learning model for surface-guided radiotherapy
Optimized truncated singular value decomposition and hybrid deep neural network with random forest for automated disease prediction
Liver vessel segmentation based on centerline constraint and intensity model
Connectivity-based parcellation of functional SubROIs in putamen using a sparse spatially regularized regression model
An oriented derivative of stick filter and post-processing segmentation algorithms for pulmonary fissure detection in CT images
Joint Stream: Malignant Region Learning for Breast Cancer Diagnosis
Hybrid hunter-prey ladybug beetle optimization enabled deep learning for diabetic retinopathy classification
Adaptive closed-loop control strategy inhibiting pathological basal ganglia oscillations
Modelling sound production from an aerodynamical model of the human newborn larynx
Localization of brain activity from EEG/MEG using MV-PURE framework
Time-frequency analysis of normal and abnormal biological signals
RR intervals prediction method for cardiovascular patients optimized LSTM based on ISSA
Continuous mental stress level assessment using electrocardiogram and electromyogram signals
Structure invariance-driven collaborative contrastive network for EEG decoding
Developing a CKD prognostic model: Integrating feature extraction and classifiers for early detection
A portable microfluidic chip device integrated with a real-time CTCs detection model for point-of-care testing of early-stage lung cancer
Retinal blood vessel segmentation using pixel-based feature vector
ESE-UNet: An Extremely Simple yet Efficient UNet for medical image segmentation
2D ECG differences in frontal vs preferential planes inpatients referred for percutaneous transluminal coronary angioplasty
Automatic liver segmentation in MRI images using an iterative watershed algorithm and artificial neural network
MLSE-FML: Mammogram classification with multi-level semantic extraction and focal margin loss
A novel cell contour-based instance segmentation model and its applications in HER2 breast cancer discrimination
RT-PCR accuracy improvement for SARS-CoV-2 detection using deep neural networks
Pyramidal position attention model for histopathological image segmentation
Intelligent estimation of blood glucose level using wristband PPG signal and physiological parameters
Multimodal machine learning approach for emotion recognition using physiological signals
A novel approach to biomechanical modeling: CT image weight initialization and Physics Informed Neural Networks
Automated detection of tumor regions from oral histological whole slide images using fully convolutional neural networks
Automatic cough segmentation from non-contact sound recordings in pediatric wards
Dual blind-spot network for self-supervised denoising in OCT images
Localization of epileptogenic zone from SEEG: Combination of high-frequency energy and synchronous connection in epileptic network analysis
Prognostic significance of global electrical heterogeneity (GEH) parameters between coronary microvascular dysfunction (CMD) and obstructive coronary artery disease (OCAD): a retrospective cohort study
Adaptive Myo-spatial correction for overcoming electrode shifts impact in sEMG-based gesture recognition
A review on CT image noise and its denoising
Intelligent contextual attention mechanism of region of interest based network model for leaf disease segmentation and classification
SyniEMG: An open-source platform for synthesizing intramuscular electromyography signals from kinematic inputs
Analysis for diagnosis of pneumonia symptoms using chest X-ray based on MobileNetV2 models with image enhancement using white balance and contrast limited adaptive histogram equalization (CLAHE)
Electrode quantity outperforms spatial topology in EEG-based emotion recognition: A dual-CNN study on electrode configuration
A EEG-augmented EMG control system with WCA-HTT model for rehabilitation wheelchair: Synergistic integration of channel attention mechanisms and test-time training
Revolutionizing cardiovascular risk prediction: A novel image-based approach using fundus analysis and deep learning
EMG feature extraction and muscle selection for continuous upper limb movement regression
Feature selection for sleep/wake stages classification using data driven methods
EEG-based driving fatigue detection using multilevel feature extraction and iterative hybrid feature selection
AI-based hierarchical approach for optimizing breast cancer detection using MammoWave device
Comparison of laryngoscopic, glottal and vibratory parameters among Estill qualities - Case study
Performance enhancement of MRI-based brain tumor classification using suitable segmentation method and deep learning-based ensemble algorithm
Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone
Modified Recurrent Residual Attention U-Net model for MRI-based brain tumor segmentation
A computationally efficient algorithm for estimating respiratory rate from seismocardiogram
KochDet: BiFPN-based deep architecture for tuberculosis diagnosis
Neuro-computational intelligence for numerical treatment of multiple delays SEIR model of worms propagation in wireless sensor networks
Adam teaching learning optimization enabled LeNet for autism spectrum disorder detection using brain MRI
A novel strategy for differentiating motor imagination brain-computer interface tasks by fusing EEG and functional near-infrared spectroscopy signals