yusuke1997/dblp-id-title huggingface dataset:
3D MRU-Net: A novel mobile residual U-Net deep learning model for spine segmentation using computed tomography images
Transformer dense center network for liver tumor detection
Supervised autoregressive eXogenous Networks with Fractional Grünwald-Letnikov finite differences: Tumor Evolution and Immune Responses under Therapeutic Influence fractals model
GMDM-MoE: A biologically-inspired growth-to-morphology and dual-magnification mixture-of-experts for bacterial detection
COVID-ECG-RSNet: COVID-19 classification from ECG images using swish-based improved ResNet model
An automatic classification framework for identifying type of plant leaf diseases using multi-scale feature fusion-based adaptive deep network
MRI-based intratumoral and peritumoral radiomics on prediction of lymph-vascular space invasion in cervical cancer: A multi-center study
Optimal explainable vision transformer framework for skin cancer diagnosis with neural architecture search feature learning
Epileptic EEG classification via deep learning-based strange attractor
Tracking of informative gamma frequency range in local field potentials of anesthetized rat olfactory bulb for odor discrimination
Multi-channel MCG signals filtering method based on multivariate variational mode decomposition
An efficient honey badger based Faster region CNN for chronc heart Failure prediction
An iterative speckle filtering algorithm for ultrasound images based on bayesian nonlocal means filter model
Systematic investigation of self-image-guided ultrasonic transceiver using time interval measurements for wireless power transfer
Skin cancer diagnosis: Leveraging deep hidden features and ensemble classifiers for early detection and classification
Enhanced cervical cancer diagnosis using MobileNetV2 with transformer-based feature refinement and global attention mechanism
Multi-modal multi-scale representation learning via cross-attention between chest radiology images and free-text reports
Evaluation of convolutional neural networks using a large multi-subject P300 dataset
Reducing the effect of wrist variation on pattern recognition of Myoelectric Hand Prostheses Control through Dynamic Time Warping
Assessment of the potential iridology for diagnosing kidney disease using wavelet analysis and neural networks
Exploring the impact of 3D movie watching on the brain source activities and energy consumption by ESI and fNIRS
Design of a marker-based human motion tracking system
MACBNet: A multi-stage adaptive category balancing network for addressing class imbalance in surgical phase recognition
Motor imagery based brain-computer interface: improving the EEG classification using Delta rhythm and LightGBM algorithm
Retraction notice to "Modified Locust Swarm optimizer for oral cancer diagnosis" [Biomed. Signal Process. Control 83 (2023) 104645]
CA-SegNet: A channel-attention encoder-decoder network for histopathological image segmentation
An intelligent deep network for dental medical image processing system
Medical time series classification based on multi-feature fusion self-organized operational neural network
Detection of differences of cardiorespiratory metrics between non-invasive respiratory support modes using machine learning methods
Diffusion based comprehensive approach for highly contaminated electrocardiogram segmentation
Detection of multiple sclerosis from photic stimulation EEG signals
Fetal brain anomaly identification from ultrasound images using multiclass classifiers
Patch Attention U-Net for knee cartilage segmentation in magnetic resonance images
Predicting NSAID-associated cardiac mortality: A deep learning approach to 12-lead ECG analysis
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites
Cwin-Net: A channel window attention network for magnetic resonance image super-resolution
Adaptive spatial and frequency experts fusion network for medical image fusion
An enhanced statistical shape model for automatic feature segmentation of human vertebrae
Identification of diseases in newborns using advanced acoustic features of cry signals
Optimized Alzheimer disorder classification with DACN-MFFN utilizing OBLDE-TDO enhanced deep neural network features
Developing multi-component dictionary-based sparse representation for automatic detection of epileptic EEG spikes
Efficient identification of Alzheimer's brain dynamics with Spatial-Temporal Autoencoder: A deep learning approach for diagnosing brain disorders
Feature selection method based on mutual information and class separability for dimension reduction in multidimensional time series for clinical data
Corrigendum to "A comparative evaluation of neural network classifiers for stress level analysis of automotive drivers using physiological signals" [Biomed. Signal Process. Control 8 (2013) 740-754]
Deep learning to identify aggressive endometrial cancer and predict tumor mutational burden from histopathology slide
Phasor represented EMG feature extraction against varying contraction level of prosthetic control
Real-time detection of workload changes using heart rate variability
Assessment of quality of electrocardiograms, seismocardiograms, and gyrocardiograms based on features derived from symmetric projection attractor reconstruction in healthy subjects
Investigation of the noise effect on fractal dimension of EEG in schizophrenia patients using wavelet and SSA-based approaches
Combining ensemble empirical mode decomposition with spectrum subtraction technique for heart rate monitoring using wrist-type photoplethysmography
Intensity grading of kidney biopsy direct immunofluorescence IgG image via semantically enhanced feature network
Classification of heart sounds using discrete time-frequency energy feature based on S transform and the wavelet threshold denoising
Automatic infant cry analysis for the identification of qualitative features to help opportune diagnosis
EOSA-GAN: Feature enriched latent space optimized adversarial networks for synthesization of histopathology images using Ebola optimization search algorithm
A deep learning fusion model with evidence-based confidence level analysis for differentiation of malignant and benign breast tumors using dynamic contrast enhanced MRI
An innovative P300 speller brain-computer interface design: Easy screen
A hybrid deep CNN-Cov-19-Res-Net Transfer learning architype for an enhanced Brain tumor Detection and Classification scheme in medical image processing
Dual criteria projection frequency domain minimum variance beamformer based on sub-band sparsity for ultrasound imaging
LSMAtt-Net: A lightweight brain tumor segmentation approach with efficiency-complexity tradeoff
A sleep apnea-hypopnea syndrome automatic detection and subtype classification method based on LSTM-CNN
TranSEFusionNet: Deep fusion network for colorectal polyp segmentation
Joint torque estimation for the human arm from sEMG using backpropagation neural networks and autoencoders
A novel tongue feature extraction method on mobile devices
A region-based cross-correlation approach for tonometric carotid-femoral Pulse Wave Velocity Assessment
A new method for calculating eye movement displacement from AC coupled electro-oculographic signals in head mounted eye-gaze input interfaces
Non-contact, real-time monitoring of patient thoracic cross-sectional area during CPR based on depth camera
Separation of arterial pressure into a nonlinear superposition of solitary waves and a windkessel flow
Pest detection via hybrid classification model with fuzzy C-means segmentation and proposed texture feature
Spatio-temporal discrepancy feature for classification of motor imageries
An automatic glucose monitoring signal denoising method with noise level estimation and responsive filter updating
A Dual-Layer Semantic Fusion Network for Retinal Vessel Segmentation
Efficient tooth gingival margin line reconstruction via adversarial learning
Harnessing cardiac power: Heart kinetic motion analysis for energy harvesters
Automated colorectal polyp detection based on image enhancement and dual-path CNN architecture
LASSO based stimulus frequency recognition model for SSVEP BCIs
Retraction notice to "Arrhythmia classification using ECG signal: A meta-heuristic improvement of optimal weighted feature integration and attention-based hybrid deep learning model" [Biomed. Signal Process. Control 87(Part B) (2024) 105565]
EA-LGS: Edge-aware vessel segmentation based on local-to-global supervision
Nonlinear surrogate modeling of tibio-femoral joint interactions
An edge association graph network conforming to embryonic morphology for automated grading of day 3 human embryos
Modeling of artifacts in the wrist photoplethysmogram: Application to the detection of life-threatening arrhythmias
A slice selection guided deep integrated pipeline for Alzheimer's prediction from Structural Brain MRI
COVID-19 ground-glass opacity segmentation based on fuzzy c-means clustering and improved random walk algorithm
A DF-SSA analytical framework for revealing variations in multidimensional EEG features of epileptic seizures
Solving the inverse problem based on UPEMD for electrocardiographic imaging
PHCU-Net: A parallel hierarchical cascade U-Net for skin lesion segmentation
Automated emotion recognition based on higher order statistics and deep learning algorithm
Multibiosignal chaotic encryption scheme based on spread spectrum and global diffusion process for e-health
Signal (Stream) synchronization with White noise sources, in biomedical applications
A real-time quality monitoring system for optimal recording of 12-lead resting ECG
Multi-point attention-based semi-supervised learning for diabetic retinopathy classification
Multi-Modality physiological signal analysis for driver cognitive distraction detection using Spectral Domain Reconstruction Graph Neural Network
Constrained optimal control drug scheduling models with different toxicity metabolism in cancer chemotherapy
Comparison of wavelet transformation and adaptive filtering in restoring artefact-induced time-related measurement
GBE-Net: Global Boundary Enhancement Network for breast lesion segmentation in ultrasound images
A novel eye disease segmentation and classification model using advanced deep learning network
Self-supervised denoising for high-dimensional magnetic resonance image
A snake optimization algorithm-based feature selection framework for rapid detection of cardiovascular disease in its early stages
A novel MRI image-analyzed stroke prediction framework using multiscale residual long short-term memory with spatial attention network
Medical image segmentation algorithm based on feedback mechanism convolutional neural network
CB-HDM: ECG signal based heart disease classification using convolutional block attention assisted hybrid deep Maxout network
Assessment of blood flow parameters in a hybrid-digital model of the cardiovascular system applying recurrent neural networks
Detection and classification of long-latency own-name auditory evoked potential from electroencephalogram
MemU-Net: A new volumetric dose prediction model using deep learning techniques in radiation treatment planning
Automatic estimation of Cobb angle based on wavelet convolution
Improving the quality of pulse rate variability derived from wearable devices using adaptive, spectrum and nonlinear filtering
GSC-DVIT: A vision transformer based deep learning model for lung cancer classification in CT images
Application of self-adaptive multiple-kernel extreme learning machine to improve MI-BCI performance of subjects with BCI illiteracy
Robust blood vessel detection with image enhancement using relative intensity order transformation and deep learning
Multi-DoF continuous estimation for wrist torques using stacked autoencoder
Multichannel detection of evoked responses using critical values corrected by a parametric bootstrap: Frequency-domain cholesky correction
A screening method for predicting left ventricular dysfunction based on spectral analysis of a single-channel electrocardiogram using machine learning algorithms
Neuro spectra: Multi-domain attention-guided feature calibration for Parkinson's disease prediction
Selection and classification of COVID-19 CT images using artificial intelligence: A case study in a Brazilian university hospital
A Novel Approach to Mortality Prediction of ICU Cardiovascular Patient Based on Fuzzy Logic Method
Analysis of the robustness of spectral indices during ventricular fibrillation
Accurate EMG onset detection in pathological, weak and noisy myoelectric signals
Low-frequency amplitude modulation of hippocampal theta rhythm in rats during treadmill running
Multi-label ocular disease classification with a dense correlation deep neural network
HM-Net: Hybrid multi-scale cross-order fusion network for medical image segmentation
A novel optimized machine learning approach with texture rectified cross-attention based transformer for COVID-19 detection
Dirichlet variational information bottleneck: A flexible model for chest X-ray classification
Weight optimized fixed and variable step-size adaptive filters for fetal ECG extraction
Edge device based efficient data collection in smart health monitoring system using wireless body area network
An intrinsic anisotropic feature of DTI images derived by geometric properties on the Riemannian manifold
Development of suction detection algorithms for a left ventricular assist device from patient data
Dimensionality reduction for visualization of normal and pathological speech data
The optimization of parameters and matching point pairs in the 3D reconstruction of coronary artery
Hand tracking for clinical applications: Validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks
Acoustic investigation of speech pathologies based on the discriminative paraconsistent machine (DPM)
Brain tumor diagnosis based on convolutional neural network improved by a new version of political optimizer
Attention-enhanced residual U-Net with histogram equalization for automated classification of gastrointestinal bleeding disorders
Quantitative acoustical analysis of genetic syndromes in the number listing task
FSIFT-PLV: An emerging phase synchrony index
Pyramid-attentive GAN for multimodal brain image complementation in Alzheimer's disease classification
Results of quantitative EEG analysis are associated with autism spectrum disorder and development abnormalities in infants with tuberous sclerosis complex
Classification of Parkinson's disease EEG signals using 2D-MDAGTS model and multi-scale fuzzy entropy
Wavelet STC-TransUNet++: Enhanced lung cancer cell segmentation and classification in histopathological images
A hierarchical model for automated standard sagittal-view detection from 3D ultrasound data in 11-14 weeks
An intelligent deep neural network with Opposition based Laplacian Equilibrium Optimizer to improve feature extraction using ECG signals
An interpretable deep learning framework based on time-frequency analysis for automated auditory brainstem response detection
Determination of the relationship between internal auditory canal nerves and tinnitus based on the findings of brain magnetic resonance imaging
CPAD-Net: Contextual parallel attention and dilated network for liver tumor segmentation
End-to-end sleep staging using convolutional neural network in raw single-channel EEG
Adaptive drug interaction model to predict depth of anesthesia in the operating room
Alzheimer's disease unveiled: Cutting-edge multi-modal neuroimaging and computational methods for enhanced diagnosis
PQR signal quality indexes: A method for real-time photoplethysmogram signal quality estimation based on noise interferences
Nonlinear dynamic approaches to identify atrial fibrillation progression based on topological methods
Multimodal fusion diagnosis of the Alzheimer's disease via lightweight CNN-LSTM model using magnetic resonance imaging (MRI)
Disease risk level prediction based on knowledge driven optimized deep ensemble framework
Dynamic elasticity model for inter-subject non-rigid registration of 3D MRI brain scans
Estimation of process noise variances from the measured output sequence with application to the empirical model of type 1 diabetes
Automatic identification of neurodegenerative diseases with 3D point cloud-based analysis using geometric deep learning in OCT retinal images
A general framework for the assessment of scatter correction techniques in digital mammography
Efficient 3D magnetic resonance image reconstruction by 2D transformers and attention-based fusion model
Enhancing diagnostic precision and mammogram classification in breast cancer detection utilizing an optimized Explicit Feature Interaction Aware Graph Neural Network
CT image denoising using multivariate model and its method noise thresholding in non-subsampled shearlet domain
Automatic segmentation of skin lesion images using evolution strategies
Models and devices for a multimodal study of the human phonatory apparatus: Technological results and clinical applications
Synthesizing the motion of the vocal folds using optical flow based techniques
T1-weighted structural Magnetic Resonance Images-driven brain age estimation in epileptic patients using convolutional neural networks
Domain-specific trained model to auto grade AV Nicking severity level
An efficient deep learning scheme to detect breast cancer using mammogram and ultrasound breast images
Responses of functional brain networks while watching 2D and 3D videos: An EEG study
AG-FSNet: A hybrid attention and feature selection network with feature contribution scoring for pneumonia segmentation using CXR images
Application of non-contact thermography as a screening modality for Diabetic Foot Syndrome - A real time cross sectional research outcome
A new hybrid vision transformer model for medical image classifications: Attention mechanism deepened by HOG
Predicting hematoma expansion in intracerebral hemorrhage from brain CT scans via K-nearest neighbors matting and deep residual network
GPU acceleration of absolute EIT image reconstruction using simulated annealing
sEMG-based consecutive estimation of human lower limb movement by using multi-branch neural network
Fluorescence microscopy and histopathology image based cancer classification using graph convolutional network with channel splitting
A methodology for voice classification based on the personalized fundamental frequency estimation
Removal of EOG artefacts by combining wavelet neural network and independent component analysis
CNN-based gesture recognition using raw numerical gray-scale images of surface electromyography
Latent diffusion for medical image segmentation: End-to-end learning for fast sampling and accuracy
FOC-Net: A lightweight network combining full 1 × 1 convolutions with wavelet and attention mechanisms for lung nodule segmentation
Wavelet threshold based ECG compression using USZZQ and Huffman coding of DSM
Optic Cup segmentation from retinal fundus images using Glowworm Swarm Optimization for glaucoma detection
WPMMA-NIS: wavelet pooling and major-minor axis distance monomerization for nuclei instance segmentation in breast whole slide image
Computer aided diagnosis of atrial arrhythmia using dimensionality reduction methods on transform domain representation
Heart rate estimation based on joint convolutional neural network and conditional generative adversarial network via heart rate variabilities and other features extracted from photoplethysmograms
Implementation of wavelet packet transform and non linear analysis for emotion classification in stroke patient using brain signals
Adaptive bolus-chasing computed tomography angiography in the cases of symmetric and asymmetric arterial flows in peripheral arteries
Contour extraction of medical images using an attention-based network
A novel method for hands rehabilitation using optimal control of fractional order singular system and biological signals
A method of named entity recognition in traditional Chinese medical cases by integrating BERT and BiLSTM
Canonical Correlation Analysis of Task Related Components as a noise-resistant method in Brain-Computer Interface Speller Systems based on Steady-State Visual Evoked Potential
Surface electromyography based analysis of muscle fiber type variations in the lower limb muscles of sprinters using gray level transformed Morlet scalogram images and Haralick features
A classification method embedding atypical patterns for distinguishing tumor subtypes in PET/CT images
THFN: Emotional health recognition of elderly people using a Two-Step Hybrid feature fusion network along with Monte-Carlo dropout
Simulation of microwave propagation properties in human abdominal tissues on wireless capsule endoscopy by FDTD
A comprehensive review on machine learning in brain tumor classification: taxonomy, challenges, and future trends
Advancing automated diagnosis of active pulmonary tuberculosis in multi-center settings through domain generalization and multi-scale convolution fusion
Neurological insights into personality and emotional intelligence: Analysing EEG spectral bands through machine learning models
USL-Net: Uncertainty self-learning network for unsupervised skin lesion segmentation
Heart disease data based privacy preservation using enhanced ElGamal and ResNet classifier
Self-speculation of clinical features based on knowledge distillation for accurate ocular disease classification
An algorithmic treatment strategy for the inhibition of type-II deiodinase enzyme on thyroid secretion hormones
DWCLF-Net: A weighted contrastive learning feature fusion network for temporal scar image sequence classification
A comparison of patients' heart rate variability and blood flow variability during surgery based on the Hilbert-Huang Transform
Modality encoded latent dataset for emotion recognition
Multi-classification of fundus diseases based on DSRA-CNN
Using eigenstructure decompositions of time-varying autoregressions in common spatial patterns-based EEG signal classification
Single-channel surface electromyography signal classification with variational mode decomposition and entropy feature for lower limb movements recognition
Multi-view hierarchical split network for brain tumor segmentation
Data enhancement based on M2-Unet for liver segmentation in Computed Tomography
Design of an automatic hybrid system for removal of eye-blink artifacts from EEG recordings
On the use of long-term features in a newborn cry diagnostic system
Comprehensive analysis of heart rate variability features for accurate prediction of paroxysmal atrial fibrillation
Shift-invariant rank-(L, L, 1, 1) BTD with 3D spatial pooling and orthonormalization: Application to multi-subject fMRI data
Multi-frequency inversion in Rayleigh damped Magnetic Resonance Elastography
IE-CFRN: Information exchange-based collaborative feature representation network for multi-modal medical image fusion
Blind source separation, wavelet denoising and discriminant analysis for EEG artefacts and noise cancelling
Assistive technology using regurgitation fraction and fractional-order integration to assess pulmonary valve insufficiency for pre-surgery decision making and post-surgery outcome evaluation
Reconstructing natural images from human fMRI by alternating encoding and decoding with shared autoencoder regularization
A robust ECG signal enhancement technique through optimally designed adaptive filters
Echocardiogram segmentation using active shape model and mean squared eigenvalue error
Robust semi-supervised extraction of information using functional near-infrared spectroscopy for diagnosing depression
Hybrid model with optimal features for non-invasive blood glucose monitoring from breath biomarkers
Emotion recognition based on multiple physiological signals
Automatic identification of obstructive sleep apnea using multimodal features
The surface electrode placement determines the magnitude of motor potential evoked by transcranial magnetic stimulation
Advanced ensemble learning-based CNN-BiLSTM network for cardiovascular disease classification using ECG and PCG signal
Quantitative analysis of scoliosis X-ray images based on Keypoint R-CNN
MAMAF-Net: Motion-aware and multi-attention fusion network for stroke diagnosis
Singularity detection in human EEG signal using wavelet leaders