yusuke1997/dblp-id-title huggingface dataset:
LA-BPNet: Location-aware brachial plexus C 6 & C 7 nerves segmentation network in ultrasound images
An optimized machine learning methodology leveraging computational fluid dynamics-derived hemodynamic features for enhancing prediction accuracy of thin-walled regions in intracranial aneurysms
Deep learning-based middle cerebral artery blood flow abnormality detection using flow velocity waveform derived from transcranial Doppler ultrasound
AFM image analysis of porous structures by means of neural networks
Limbic and cerebellar effects in Alzheimer-Perusini's disease: A physics-inspired approach
Automatic landmark detection and angle measurement in radiographs based on deep learning in application to coronal plane alignment of the knee classification
Estimation of the deformations induced by articulated bodies: Registration of the spinal column
Classifying action intention understanding EEG signals based on weighted brain network metric features
MVFNet: A multi-view fusion network for pain intensity assessment in unconstrained environment
Design of Anfis based pacemaker controller having improved transient response and its FPGA implementation
Prediction of arterial blood pressure waveforms based on Multi-Task learning
BreastDiff: a multi-condition guided diffusion model for breast cancer classification in diverse modalities
Chronic disease prediction with deep convolution based modified extreme-random forest classifier
FFANet - Full frequency attention net for automatic diastolic function assessment
A non-variational p ( x , t ) -Laplacian coupled PDE: Applications to COVID-19 CT imaging
A hybrid TH-LSTM-Transformer Model for text generation from EEG signals during imagined character speech
LiteNeXt: A novel lightweight ConvMixer-based model with Self-embedding Representation Parallel for medical image segmentation
Narrowing the regional attention imbalance in medical image segmentation via feature decorrelation
Auto-MyIn: Automatic diagnosis of myocardial infarction via multiple GLCMs, CNNs, and SVMs
Enhanced Elman spike Neural network optimized with flamingo search optimization algorithm espoused lung cancer classification from CT images
Assessing time series correlation significance: A parametric approach with application to physiological signals
Virtual regression-based myoelectric hand-wrist prosthesis control and electrode site selection using no force feedback
FS-WOA-stacking: A novel ensemble model for early diagnosis of breast cancer
Automatic colorectal cancer detection using machine learning and deep learning based on feature selection in histopathological images
A 2D CNN-LSTM hybrid algorithm using time series segments of EEG data for motor imagery classification
Identifying brain activation regions and functional connectivity changes in stroke rehabilitation using fNIRS
Evaluation of multi-channel EMG for enhancing control in mobility assistive devices using neck/shoulder movement classification
Variational approach to cancerous tissue identification from in vivo Raman spectra
Implementation of fuzzy associative memory toward optimizing a neural network model to predict total iron binding capacity
NB-SQI: A novel non-binary signal quality index for continuous blood pressure waveforms
TSRNet: Target-aware Self Region-prompting Network for brain tumor segmentation
Predicting pathological complete response based on weakly and semi-supervised joint learning in breast cancer multi-parametric MRI
Super-resolution method for MR images based on multi-resolution CNN
A robust coronary artery identification and centerline extraction method in angiographies
Production of Yttrium-86 radioisotope using genetic algorithm and neural network
LNCDS: A 2D-3D cascaded CNN approach for lung nodule classification, detection and segmentation
Liver image segmentation using a rotated variable-sized window attention mechanism: Application of the ARVSA u-net model
Accurate inverse-consistent symmetric optical flow for 4D CT lung registration
Changes in resting-state functional connectivity in neuropsychiatric lupus: A dynamic approach based on recurrence quantification analysis
Continuous blood pressure monitoring based on improved multi-scale U-net assisted with piezoelectric polymer nanocomposite sensors
Outlier detection based on the neural network for tensor estimation
Optimal extraction of EMG signal envelope and artifacts removal assuming colored measurement noise
Automatic detection and segmentation of optic disc using a modified convolution network
A coarse-to-fine framework for facial acne grading and lesion counting
Control of a hybrid upper-limb orthosis device based on a data-driven artificial neural network classifier of electromyography signals
EEG signal classification of imagined speech based on Riemannian distance of correntropy spectral density
Gait phase recognition of lower limb exoskeleton system based on the integrated network model
NM-USNet: A novel generative model for parathyroid glands detection in nuclear medicine
Studying the generalisability of cognitive load measured with EEG
Integrating imaging and genetic data via wavelet transform-based CNN for Alzheimer 's disease classification
Implications of plantar static pressure distribution among bilateral flatfoot patients: An analytical case-control research
Enhanced retinal arteries and veins segmentation through deep learning with conditional random fields
An innovative mathematical approach to the evaluation of susceptibility in liver disorder based on fuzzy parameterized complex fuzzy hypersoft set
Feature extraction based on sparse graphs embedding for automatic depression detection
Inter-patient ECG characteristic wave detection based on convolutional neural network combined with transformer
Local-global pseudo-label correction for source-free domain adaptive medical image segmentation
Modeling carotid and radial artery pulse pressure waveforms by curve fitting with Gaussian functions
Classification of seizure and seizure-free EEG signals using local binary patterns
SRPNet:Selection of reliable pulse segments for heart rate estimation
AFLEMP: Attention-based Federated Learning for Emotion recognition using Multi-modal Physiological data
A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma
Deep learning-based early detection of absence seizures in children
An advanced intelligent ELISA test for bovine tuberculosis diagnosis
Automatically detecting apnea-hypopnea snoring signal based on VGG19 + LSTM
HRV spectral estimation based on constrained Gaussian modeling in the nonstationary case
Enhanced average for event-related potential analysis using dynamic time warping
Efficient fall detection using Kalman filter-enhanced triaxial accelerometer signals and machine learning
Postural stability during long duration quiet standing in post stroke hemiplegia
Automatic localization and classification of intervertebral disc herniation using hybrid classifier
Human fall detection using machine vision techniques on RGB-D images
A novel approach for cross-subject unfavorable driving state detection by cooperation between phase-based functional connectivity and convolutional neural network
Automatic measurement of head circumference in fetal ultrasound images using a squeeze atrous pooling UNet
Probing the flexible internal state transition and low-dimensional manifold dynamics of human brain with acupuncture
Detection of Weak Doppler Microembolic Signature using Two-Dimensional-Adaptive Time-Frequency Threshold from Spectrogram
A convolutional neural network for automatic detection of sleep-breathing events using single-channel ECG signals
A review on various methods for recognition of urine particles using digital microscopic images of urine sediments
Automated explainable deep learning framework for multiclass skin cancer detection and classification using hybrid YOLOv8 and vision transformer (ViT)
A computer aided system for skin cancer detection based on Developed version of the Archimedes Optimization algorithm
Fuzzy-KD: Fuzzy knowledge distillation model for brain network analysis with incomplete multi-modal data
WGCTA-Net: Wavelet-Guided CNN-Transformer fusion with attention mechanism for PET/CT tumor segmentation
NLM based magnetic resonance image denoising - A review
SleepRWKVNet: A multimodal sleep staging network integrating bidirectional interactive RWKV and physiological prior-driven sequence-aware loss
Enhancing breast cancer diagnosis with ResNet50 and Salp Swarm-Based feature reduction on BreakHis dataset
A dynamic ensemble approach based on trend analysis to COVID-19 incidence forecast
Enhanced dysarthria detection in cerebral palsy and ALS patients using WaveNet and CNN-BiLSTM models: A comparative study with model interpretability
A robust audio classification system for detecting pulmonary edema
Frame rate up-conversion in cardiac ultrasound
Breast image mass detection model based on multi-scale feature reinforcement network
Enhancing arrhythmia prediction through an adaptive deep reinforcement learning framework for ECG signal analysis
A multi-feature fusion model with temporal convolution and vision transformer for epileptic seizure prediction
Exploring the nature of Parkinsonian rest tremor and the effects of common treatments on it: Stochastic process or chaotic behavior?
Multi-scale classification of single-cell gel electrophoresis assay using deep learning algorithm
Effects of ECG sampling rate on QT interval variability measurement
NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals
Intelligent decision support system for lung cancer classification with ensemble inference system using fuzzy
An algebraic modeling for tuberculosis disease prognosis and proposed potential treatment methods using fuzzy hypersoft mappings
A simple proposition for heart sound signal de-noising for effective components identification in normal and abnormal cases
Adaptive real-time multi-loss function optimization using dynamic memory fusion framework: A case study on breast cancer segmentation
Semantic segmentation of pancreatic medical images by using convolutional neural network
Switched system optimal control approach for drug administration in cancer chemotherapy
GAN-based super-resolution for confocal superficial eyelid imaging: Real-time, domain generalization, and noise robustness
Predicting urinary bladder voiding by means of a linear discriminant analysis: Validation in rats
Beat-to-beat cardiovascular hemodynamic parameters based on wavelet spectrogram of impedance data
Adaptive frequency tracking of the baseline ECG identifies the site of atrial fibrillation termination by catheter ablation
Photoplethysmograph based arrhythmia detection using morphological features
DBMAE-Net: A dual branch multi-scale feature adaptive extraction network for retinal arteriovenous vessel segmentation
Assessment of the effect of data length on the reliability of resting-state fNIRS connectivity measures and graph metrics
A novel complex-valued convolutional neural network for medical image denoising
Towards low cost automated smartphone- and cloud-based otitis media diagnosis
Analysis of atypical prosodic patterns in the speech of people with Down syndrome
A new real-time lossless data compression algorithm for ECG and PPG signals
Application of Multilevel Thresholding and CNN for the Diagnosis of Skin Cancer Utilizing a Multi-Agent Fuzzy Buzzard Algorithm
Distinguishing cognitive states using electroencephalography local activation and functional connectivity patterns
2MSPK-Net: A nuclei segmentation network based on multi-scale, multi-dimensional attention, and SAM prior knowledge
Cell classification based on affine transformed convolutional parallel networks
Joint symbolic dynamics identifies differences in the maternal-fetal cardiac coupling between nonlaboring and laboring women
Automated Optic Disc region location from fundus images: Using local multi-level thresholding, best channel selection, and an Intensity Profile Model
Voice models and analysis for biomedical applications
A shallow extraction of texture features for classification of abnormal video endoscopy frames
Two-level multi-domain feature extraction on sparse representation for motor imagery classification
Emerging technologies for COVID (ET-CoV) detection and diagnosis: Recent advancements, applications, challenges, and future perspectives
Classification of adenoid cystic carcinoma in whole slide images by using deep learning
Glioma brain tumor detection using dual convolutional neural networks and histogram density segmentation algorithm
InceptionNeXt-Transformer: A novel multi-scale deep feature learning architecture for multimodal breast cancer diagnosis
A hybrid model merging convolutional neural network and differential vision transformer for diabetic retinopathy identification
Precision muscle segmentation and classification for knee osteoarthritis with dual attention networks and GAO-optimized CNN
Automated control of inspired oxygen for preterm infants: What we have and what we need
Neighborhood transformer for sparse-view X-ray 3D foot reconstruction
An explainable deep-learning model reveals clinical clues in diabetic retinopathy through SHAP
Sustainable framework for automated segmentation and prediction of lung cancer in CT image using CapsNet with U-net segmentation
Detecting slow eye movements with bimodal-LSTM for recognizing drivers' sleep onset period
Dual path sub-type diagnostic model based on the anatomic morphological feature
A hybrid breast mass detection in mammograms using geometric deformable contour model and convolutional neural network
Airway segmentation using Uncertainty-based Double Attention Detail Supplement Network
Self-supervised machine learning approach for autism detection in young children using MEG signals
FV-DDC: A novel finger-vein recognition model with deformation detection and correction
TSE DeepLab: An efficient visual transformer for medical image segmentation
Walking gait event detection based on electromyography signals using artificial neural network
Multi-model robust control of depth of hypnosis
Deep-learning based fusion of spatial relationship classification between mandibular third molar and inferior alveolar nerve using panoramic radiograph images
Heart rate estimation using facial video: A review
Variation of P-wave indices in paroxysmal atrial fibrillation patients before and after catheter ablation
Heartbeat signal quality assessment in smart clothing based on signal imaging and transfer learning
Innovative brain tumor detection: Stacked random support vector-based hybrid gazelle coati algorithm
Transfer learning based heart valve disease classification from Phonocardiogram signal
Hybrid segmentation and 3D Imaging: Comprehensive framework for breast cancer patient segmentation and classification based on digital breast tomosynthesis
A Blood Pressure Prediction Method Based on Imaging Photoplethysmography in combination with Machine Learning
Vessel enhancement using Multi-scale Space-Intensity domain Fusion Adaptive filtering
Pseudo Label-Guided Data Fusion and output consistency for semi-supervised medical image segmentation
Multi-modal cardiac function signals classification algorithm based on improved D-S evidence theory
Fetal heart rate estimation by non-invasive single abdominal electrocardiography in real clinical conditions
A novel reconstruction approach combining OSEM and split Bregman method for low dose CT
Classification of diabetic retinopathy based on improved deep forest model
Heart sound classification based on scaled spectrogram and partial least squares regression
Effects of objects and image quality on melanoma classification using deep neural networks
Enhancing detection of SSVEP-based BCIs via a novel CCA-based method
Using beat score maps with successive segmentation for ECG classification without R-peak detection
HVMASF++ with Zeiler and Fergus path aggregation residual deep Maxout Network for retinal vessel segmentation and multi-stage diabetic retinopathy classification
Power-law scaling behavior of A-phase events during sleep: Normal and pathologic conditions
COVID-19 and human development: An approach for classification of HDI with deep CNN
Continuous angular position estimation of human ankle during unconstrained locomotion
Detecting pertussis in the pediatric population using respiratory sound events and CNN
A robust denoising diffusion framework for completing missing regions of multiple biomedical signals
Intelligent fatigue detection based on hierarchical multi-scale ECG representations and HRV measures
Context modeling based lossless compression of radio-frequency data for software-based ultrasound beamforming
FB-UNet++: federated biometric UNet++ model for segmentation and classification network of fetal anomaly detection in prenatal care
Heart disease detection using deep learning methods from imbalanced ECG samples
Respiratory mechanics in children with cystic fibrosis
TDPC-Net: Multi-scale lightweight and efficient 3D segmentation network with a 3D attention mechanism for brain tumor segmentation
High accuracy hybrid CNN classifiers for breast cancer detection using mammogram and ultrasound datasets
New brain tumor classification method based on an improved version of whale optimization algorithm
Robust compressive sensing algorithm for wireless surface electromyography applications
Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion
An investigation of echo state network for EEG-based emotion recognition with deep neural networks
A suction index based control system for rotary blood pumps
Seizure detection algorithm based on fusion of spatio-temporal network constructed with dispersion index
VisionCervix: Papanicolaou cervical smears classification using novel CNN-Vision ensemble approach
SE-NDEND: A novel symmetric watermarking framework with neural network-based chaotic encryption for Internet of Medical Things
EEG based stereo vision assessment method using random dot stereograms with various motion patterns
Brain MRI high resolution image creation and segmentation with the new GAN method
An investigation on magnetic imaging findings of the inner ear: A relationship between the internal auditory canal, its nerves and benign paroxysmal positional vertigo
Vector-based Inertial Poser: Human pose estimation with high gain observer and deep learning using sparse IMU sensors
Neurofeedback training protocols based on spectral EEG feature subset and channel selection for performance enhancement of novice visual artists
Automated myocardial infarction identification based on interbeat variability analysis of the photoplethysmographic data
CNN-Wavelet scattering textural feature fusion for classifying breast tissue in mammograms
An Optimized Wasserstein Deep Convolutional Generative Adversarial Network approach for the classification of COVID-19 and pneumonia
Early detection of Alzheimer's disease from EEG signals using Hjorth parameters
A dual attention-guided 3D convolution network for automatic segmentation of prostate and tumor
A lightweight model for the retinal disease classification using optical coherence tomography
Heart rate control during treadmill exercise using input-sensitivity shaping for disturbance rejection of very-low-frequency heart rate variability
Multi-task generative adversarial learning for nuclei segmentation with dual attention and recurrent convolution
EAGNet: Edge Aware Guided Network for skin lesion image segmentation
Reliable detection of lymph nodes in whole pelvic for radiotherapy
PISDGAN: Perceive image structure and details for laryngeal image enhancement
Towards consistent representation for reverse distillation on lung CT-scan images
Respiratory mechanics assessment for reverse-triggered breathing cycles using pressure reconstruction
Methods for monitoring and prognosis of clinical status of patients in acute phase of myocardial infarction for computer network based clinical decision support system
Brain tumor diagnosis redefined: Leveraging image fusion for MRI enhancement classification
Voice classification in Parkinson's disease: A deep learning approach using transformers and error rate metrics
Auto-Metric Graph Neural Network optimized with Capuchin search optimization algorithm for coinciding diabetic retinopathy and diabetic Macular edema grading
MMUNet: Morphological feature enhancement network for colon cancer segmentation in pathological images
CTNet: multi-modal channel attention transformer network for breast cancer image classification
Automated magnetocardiography classification using a deformable convolutional block attention module
CFNet: A medical image segmentation method using the multi-view attention mechanism and adaptive fusion strategy
Optimal breast tumor diagnosis using discrete wavelet transform and deep belief network based on improved sunflower optimization method
MOS-GAN: A U-Net++ based GAN for multi-organ segmentation
Detection of pulmonary hypertension associated with congenital heart disease based on time-frequency domain and deep learning features
Automated detection of Hypertensive Retinopathy using few-shot learning
An evaluation of AI-based methods for papilledema detection in retinal fundus images
DPAFNet: A Residual Dual-Path Attention-Fusion Convolutional Neural Network for Multimodal Brain Tumor Segmentation
Artificially induced joint movement control with musculoskeletal model-integrated iterative learning algorithm
EEG-based emotion recognition for road accidents in a simulated driving environment
Multi-source signal alignment and efficient multi-dimensional feature classification in the application of EEG-based subject-independent drowsiness detection
CDRMamba: A framework for automated craniomaxillofacial defect reconstruction using Mamba-based modeling
Data augmentation for cross-subject EEG features using Siamese neural network
Underexposed fundus image enhancement via illumination guidance and retinal structural modeling
AmtNet: Attentional multi-scale temporal network for phonocardiogram signal classification
Study on multidimensional emotion recognition fusing dynamic brain network features in EEG signals
Correlated coupled matrix tensor factorization method for simultaneous EEG-fMRI data fusion
Time-frequency analysis of variabilities of heart rate, systolic blood pressure and pulse transit time before and after exercise using the recursive autoregressive model
Model interpretation of body surface potential QRST integral map variability in arrhythmia patients
Moving approximate entropy applied to surface electromyographic signals
Design of upper limb prosthesis using real-time motion detection method based on EMG signal processing
TAGNet: A transformer-based axial guided network for bile duct segmentation
A new method for quantifying mfVEP signal intensity in multiple sclerosis
A novel pre-processing procedure for enhanced feature extraction and characterization of electromyogram signals
EEG_GLT-Net: Optimising EEG graphs for real-time motor imagery signals classification
Learning generalizable representations with adversarial domain adaptation for snoring-based sleep apnea detection
Deep learning-based vein visualization and its mobile implementation
Intelligent non-invasive modeling of ultrasound-induced temperature in tissue phantoms
Improved Cascade-RCNN for automatic detection of coronary artery plaque in multi-angle fusion CPR images
DiffCTA: Diffusion model-based non-contrast CT angiography with contrast-enhanced mask guidance
Identification of intra-patient variability in the postprandial response of patients with type 1 diabetes
Application of novel DIRF feature selection algorithm for automated brain disease detection
Restoration of missing or low-quality 12-lead ECG signals using ensemble deep-learning model with optimal combination
Heel pad's hyperelastic properties and gait parameters reciprocal modelling by a Gaussian Mixture Model and Extreme Gradient Boosting framework
OPOIRES: A robust non-contact respiratory rate extraction based on optimal points-of-interest selection from an RGB camera