yusuke1997/dblp-id-title huggingface dataset:
Observer-based adaptive control for HIV infection therapy using the Baskakov operator
Brain tumor diagnosis based on Zernike moments and support vector machine optimized by chaotic arithmetic optimization algorithm
A Transfer entropy-based methodology to analyze information flow under eyes-open and eyes-closed conditions with a clinical perspective
Medical image fusion based on improved multi-scale morphology gradient-weighted local energy and visual saliency map
The development study of a lung cancer screening tool based on machine learning predictive models and association rule mining techniques
Computer-aided obstructive sleep apnea detection using normal inverse Gaussian parameters and adaptive boosting
A new dynamically convergent differential neural network for brain signal recognition
Automatic brain tumor segmentation from Multiparametric MRI based on cascaded 3D U-Net and 3D U-Net++
Analyzing and adapting diffusion segmentation behavior for medical images
Optimized attention Induced multi head convolutional neural network with Densenet201 for cervical cancer diagnosis
Mild cognitive impairment detection with optimally selected EEG channels based on variational mode decomposition and supervised machine learning
A color-based deep-learning approach for tissue slide lung cancer classification
Research on the effects of Superimposed functional electrical stimulation on motor imagery in motor rehabilitation
Surface EMG processing: Introduction to the special issue
Prediction of skin diseases using grab cut based segmentation with hybrid SCH feature extraction and optimized RBFN algorithm
Intelligent optimization-based pulmonary emphysema detection with adaptive multi-scale dilation assisted residual network with Bi-LSTM layer
IoT based ECG monitoring system with encryption and authentication in secure data transmission for clinical health care approach
Federated deep multiple instance learning for histopathological whole-slide image classification
Current source mapping by spontaneous MEG and ECoG in piglets model
Optimization of microbubble side-scattering signal analysis for efficient cavitation dosimetry
Comparative study of algorithms for ECG segmentation
Adaptive thresholding technique based classification of red blood cell and sickle cell using Naïve Bayes Classifier and K-nearest neighbor classifier
Hybrid multiagent based adaptive genetic algorithm for limited view tomography using oppositional learning
Time-space-frequency feature Fusion for 3-channel motor imagery classification
Classification of intracranial hemorrhage CT images based on texture analysis using ensemble-based machine learning algorithms: A comparative study
Classification of sEMG signals of hand gestures based on energy features
Cascade dual-domain swin-conv-unet for MRI reconstruction
Second-order difference scatterplot-based transition network with Riemann similarity measure for epilepsy classification
ViPS: A novel visual processing system architecture for medical imaging
Estimation of cardiac output based on PRAM algorithm and ARX model from noninvasive radial pressure wave
Denoising of poisson-corrupted microscopic biopsy images using fourth-order partial differential equation with ant colony optimization
A novel hybrid method for calculating the fetal heart rate from the non-invasive abdominal Electrocardiogram signal
Physical simulation of laryngeal disorders using a multiple-mass vocal fold model
PulmonNet V1: Leveraging the benefit of Leaky ReLU activation for the local and multi-scale global feature integration of chest radiographs to classify pulmonary diseases
Segmentation based image compression of brain magnetic resonance images using visual saliency
Automatic detection of sleep apnea from single-lead ECG signal using enhanced-deep belief network model
A multi-scale interactive U-Net for pulmonary vessel segmentation method based on transfer learning
Obstructive sleep apnea detection with nonlinear analysis of speech
Activity recognition of the torso based on surface electromyography for exoskeleton control
SUPER-COUGH: A Super Learner-based ensemble machine learning method for detecting disease on cough acoustic signals
Bio-process inspired characterization of pregnancy evolution using entropy and its application in preterm birth detection
CNN-Transformer model for non-contact AF detection from BCG signals
Multi-scale information residual network: Deep residual network of prostate cancer segmentation based on multi scale information guidance
PAMSNet: A medical image segmentation network based on spatial pyramid and attention mechanism
A novel approach for biometric recognition based on ECG feature vectors
Machine learning-based pulse wave analysis for classification of circle of Willis topology: An in silico study with 30,618 virtual subjects
Non-invasive detection of coronary artery disease from photoplethysmograph using lumped parameter modelling
Interpretability and accuracy of machine learning algorithms for biomedical time series analysis - a scoping review
SCANet: automated Cobb angle measurement using deep learning model in X-ray images for adolescent idiopathic scoliosis patients
Practical estimation method of the optimal scanning protocol for 180° data acquisition in parallel SPECT imaging
A multi-step directional generalized gradient vector flow snake for target tumor segmentation in US-guided high-intensity focused ultrasound ablation
Multi kernel cross sparse graph attention convolutional neural network for brain magnetic resonance imaging super-resolution
An fNIRS representation and fNIRS-scales multimodal fusion method for auxiliary diagnosis of amnestic mild cognitive impairment
Automatic cardiac phase detection of mitral and aortic valves stenosis and regurgitation via localization of active valves
NFM-Nest: Neighbour fusion and residual fusion networks for medical image segmentation
Cyclic spectral analysis of electrocardiogram signals based on GARCH model
Comprehensive exploiting local and global features for brain tumor segmentation: A gated dual-branch hybrid attention mechanism
AGBN-Transformer: Anatomy-guided brain network transformer for schizophrenia diagnosis
Use of supervised discretization with PCA in wavelet packet transformation-based surface electromyogram classification
2-level hierarchical depression recognition method based on task-stimulated and integrated speech features
A two-step iteration mechanism for speckle reduction in optical coherence tomography
A real-time ML-based asynchronous HCI speller system using EOG signals
Tuberculosis detection on chest X-rays using two-dimensional multiscale symbolic dynamic entropy
Detection of abdominal aortic aneurysm using photoplethysmographic signals measured from the index finger
Combining the advantages of radiomic features based feature extraction and hyper parameters tuned RERNN using LOA for breast cancer classification
Tumor detection using deep learning method in automated breast ultrasound
Graph denoising of impulsive EEG signals and the effect of their graph representation
LM3DFN: An end-to-end model for non-invasive prediction of EGFR mutation in non-small cell lung cancer
Physiologically inspired spatiotemporal adaptive multimodal fusion model for blood glucose prediction
Employing linear prediction residual signal of wavelet sub-bands in automatic detection of laryngeal pathology
Stratified squamous epithelial biopsy image classifier using machine learning and neighborhood feature selection
Enhancing diabetic retinopathy detection using an optimized MobileNet architecture
Multi-task learning for calcaneus fracture diagnosis of X-ray images
Optimization enabled deep residual neural network for motor imagery EEG signal classification
EMSA-Net: Efficient multi-attention boosting lightweight multi-scale CNN for bone age assessment
Fusing enhanced Transformer and large kernel CNN for malignant thyroid nodule segmentation
ABT-GAMNet: A novel adaptive Boundary-aware transformer with Gated attention mechanism for automated skin lesion segmentation
An improved chaotic GWO-LGBM hybrid algorithm for emotion recognition
A meta-learning based method for few-shot pneumonia identification using chest X-ray images
Data-based modeling of the Pharmacodynamics for the effect of Propofol and Remifentanil during General Anesthesia
Reduction of stimulation coherent artifacts in electrically evoked auditory brainstem responses
Denoising functional magnetic resonance imaging time-series using anisotropic spatial averaging
Premature atrial and ventricular contraction detection using deep learning and short ECG: A multi-dataset evaluation
Unsupervised sleep staging system based on domain adaptation
A CNN-based classifier for detecting rhythm disorders, premature contractions, and conduction abnormalities from ECG
Prediction of hypertension risk based on time-frequency domain pulse wave feature fusion
Accurate vessel segmentation in ultrasound images using a local-phase-based snake
Nonlinear modelling of renal vasoaction
Vagus nerve stimulation modulating the directed brain network of patients with drug-resistant epilepsy
Guest Editorial introduction to the special issue on Biomedical Signal Processing and Analysis selected papers from ITAB 2009
Particle swarm optimization-based unscented Kalman Filter for tremor suppression in minimally invasive surgical robots
Enhancing registration precision of multispectral breast images by fusing multi-wavelength information based on an improved gradient descent method
TVPNet: Text-vision prompt guided segmentation for small 3D medical object
SM2C - Boost the semi-supervised segmentation for medical image by using meta pseudo labels and mixed images
Stockwell transform for epileptic seizure detection from EEG signals
Reconstructing missing modalities in multi-modal endoscopic ultrasound via cross-modal feature replacement representation
Multi-modal medical image fusion framework using co-occurrence filter and local extrema in NSST domain
A fatty liver diseases classification network based on adaptive coordination attention with label smoothing
Methods of weighted averaging of ECG signals using Bayesian inference and criterion function minimization
Attentional deep learning based efficient AGSDCLR unet model for gastrointestinal tract segmentation
Multi-task learning for multi-scale breast cancer ultrasound image segmentation and classification based on visual perception
Medical image fusion model using CT and MRI images based on dual scale weighted fusion based residual attention network with encoder-decoder architecture
Unsupervised attention-guided domain adaptation model for Acute Lymphocytic Leukemia (ALL) diagnosis
Communication and control system for a 15-channel hermetic retinal prosthesis
Diagnosis of Parkinson's disease by Archimedes spiral dynamic handwriting analysis based on Dual-head Multimodal Networks
Investigating the relationship between brain age and Alzheimer's disease: A deep learning approach with multimodal MRI
Motion intention prediction of upper limb in stroke survivors using sEMG signal and attention mechanism
Higher order tensor decomposition for proportional myoelectric control based on muscle synergies
Identification of Alzheimer's disease from central lobe EEG signals utilizing machine learning and residual neural network
ECG data compression using the formation of QRS-complex segment bank and integer DCT-based plateau region processing
Analyzing the effect of postural change on heart rate variability using multi-distance sample entropy (MDSE)
Calibration data concatenated and referenced task-related component analysis for enhancing SSVEP detection
Classification of ictal and interictal EEG using RMS frequency, dominant frequency, root mean instantaneous frequency square and their parameters ratio
Automated classification of common maternal fetal ultrasound planes using multi-layer perceptron with deep feature integration
Brain tumor segmentation using a hybrid multi resolution U-Net with residual dual attention and deep supervision on MR images
Improving anterior cruciate ligament tear detection and grading through efficient use of inter-slice information and simplified transformer module
Multi-class plaque segmentation in Intravascular Ultrasound via inter-frame feature fusion and contrast feature extraction
Calculation of approximate heart rate variability indicators based on low-resolution heart rate data provided by widely used commercially available wearable devices
Enhancing emotion recognition through brain asymmetry and multi-angle fusion network
A novel method for noninvasive estimation of respiratory effort during pressure support ventilation
A Multi-Indicator evaluation method for Human-Machine effectiveness of lower limb wearable exoskeleton
Automatic heart sounds segmentation based on the correlation coefficients matrix for similar cardiac cycles identification
Emergency triage based on deep ensemble learning and ICU physiological time series
An MRF spatial fuzzy clustering method for fMRI SPMs
FMLAN: A novel framework for cross-subject and cross-session EEG emotion recognition
Enhancing schizophrenia diagnosis through EEG frequency waves and information-based neural connectivity feature fusion
HLDnet: Novel deep learning based Artificial Intelligence tool fuses acetic acid and Lugol's iodine cervicograms for accurate pre-cancer screening
Bi-LSTM neural network for EEG-based error detection in musicians' performance
Classifying dynamic motor imagery with the locals-balanced extreme learning machine
Closed-loop high precision human tissue temperature measurements using a joint forward and inverse method
Derivation of the effective air volume of indirect room calorimeters: An uncertainty-based approach
Asynchronous state estimation for switched nonlinear reaction-diffusion SIR epidemic models with impulsive effects
Assessing multi-layered nonlinear characteristics of ECG/EEG signal via adaptive kernel density estimation-based hierarchical entropies
Dominant noise-aided EMD (DEMD): Extending empirical mode decomposition for noise reduction by incorporating dominant noise and deep classification
The comprehensive analysis of the determination of wavelet function-level pair for the decomposition and reconstruction of artificial S1 heart signals by using multi-resolution analysis
EEG-based sleep staging via self-attention based capsule network with Bi-LSTM model
Comparison of pulse rate variability and morphological features of photoplethysmograms in estimation of blood pressure
CerebralNet meets Explainable AI: Brain tumor detection and classification with probabilistic augmentation and a deep learning approach
Algorithm for automatic EEG classification according to the epilepsy type: Benign focal childhood epilepsy and structural focal epilepsy
Toward assessment of human voice biomarkers of brain lesions through explainable deep learning
A novel data augmentation based on Gabor filter and convolutional deep learning for improving the classification of COVID-19 chest X-Ray images
Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation
Filter-Bank Artifact Rejection: High performance real-time single-channel artifact detection for EEG
Rapid and accurate classification of Covid-19 severity in CT scans using DRIEN model and advanced feature selection
Quantifying misclassification and bias errors due to hierarchical sepsis scores in real-time sepsis diagnosis
Analysis based on machine and deep learning techniques for the accurate detection of lung nodules from CT images
Identification of autism spectrum disorder using multi-regional resting-state data through an attention learning approach
Early detection of acute coronary syndrome through prothrombin time measurement using flexible UWB antenna for cardiac patient
Investigating the significance of color space for abnormality detection in wireless capsule endoscopy images
Se-GCaTCT: correlation based optimized self-guided cross-attention temporal convolutional transformer for depression detection with effective optimization strategy
Cross-subject emotion recognition with contrastive learning based on EEG signal correlations
BGSNet: A cascaded framework of boundary guided semantic for COVID-19 infection segmentation
Perturbation measurements in highly irregular voice signals: Performances/validity of analysis software tools
Classification of ECG arrhythmia by a modular neural network based on Mixture of Experts and Negatively Correlated Learning
Fast colonic polyp detection using a Hamilton-Jacobi approach to non-dominated sorting
Spatial enhancement of ECG using multiple joint dictionary learning
A novel approach for brain tumour detection using deep learning based technique
Classification of heart sound signal using curve fitting and fractal dimension
Enhanced brain efficiency network by integrating the new causality with fMRI and its application for Alzheimer's Disease study
A permutation Lempel-Ziv complexity measure for EEG analysis
Classification and identification of epileptic EEG signals based on signal enhancement
Volume visualization based on the intensity and SUSAN transfer function spaces
Deep neural networks for the detection of temporal-lobe epileptiform discharges from scalp electroencephalograms
Deformable medical image registration based on wavelet transform and linear attention
An efficient attention-driven deep neural network approach for continuous estimation of knee joint kinematics via sEMG signals during running
Age-sensitive high density surface electromyogram indices for detecting muscle fatigue using core shape modelling
Performance optimization of water cycle algorithm for multilevel lupus nephritis image segmentation
Relating the spectrum of cardiac signals to the spatiotemporal dynamics of cardiac sources
Enhancing healthcare security in the digital era: Safeguarding medical images with lightweight cryptographic techniques in IoT healthcare applications
A two-dimensional approach for lossless EEG compression
An enhanced black-winged kite algorithm boosted machine learning prediction model for patients' waiting time
Parsimonious waveform-derived features consisting of pulse arrival time and heart rate variability predicts the onset of septic shock
Graph reasoning and Inception attention network for dermoscopy segmentation
A classification model of breast masses in DCE-MRI using kinetic curves features with quantum-Raina's polynomial based fusion
Rider Manta Ray Foraging Optimization-based Generative Adversarial Network and CNN feature for detecting glaucoma
On the optimality of the square-root wiener time-frequency mask for noise reduction in cochlear implants
Design and performance evaluation method of wearable hip joint power-assisted exoskeleton
PPG heart rate extraction algorithm based on the motion artifact intensity Classification and removal framework
SF2T:Leveraging Swin Transformer and Two-stream networks for lung nodule detection
Whale optimization with random contraction and Rosenbrock method for COVID-19 disease prediction
COVID-19 and flu diagnosis from short electrocardiogram images using a residual neural network
RCTP: Regularized common tensor pattern for rapid serial visual presentation spellers
Simulation studies on hybrid neuroprosthesis control strategies for gait at low speeds
An intelligent system for the diagnosis of bladder cancer using enhanced hunger games search and support vector machine
A simple self-supervised learning framework with patch-based data augmentation in diagnosis of Alzheimer's disease
XAI-driven average region intensity-based EEG channel selection (ARI-ECS) for optimizing Parkinson's disease detection
Attention-based and micro designed EfficientNetB2 for diagnosis of Alzheimer's disease
Adaptive edge prior-based deep attention residual network for low-dose CT image denoising
Semi-adaptive switching control for infusion of two interacting medications
A novel gene identification algorithm with Bayesian classification
Securing deep learning models with differential privacy for cardiovascular disease prediction
On the role of perfusion index for estimating blood glucose levels with ultrasound-assisted and conventional finger photoplethysmography in the near-infrared wavelength range
An integrated automated system for crackles extraction and classification
Unified approach for accurate brain tumor Multi-Classification and segmentation through fusion of advanced methodologies
Semi-supervised medical image segmentation with confidence-aware learning
The importance of ocular artifact removal in single-trial ERP analysis: The case of the N250 in face learning
Comparison of parametrization methods of electroglottographic and inverse filtered acoustic speech pressure signals in distinguishing between phonation types
A novel approach for noise removal and distinction of EEG recordings
A multi-stage progressive feature fusion network for Brain Stroke lesion segmentation
A supervised contrastive learning-based fine-tuning approach for translational intra-abdominal pressure prediction
Brain tumor classification using the fused features extracted from expanded tumor region
Classification of cardiac electrical signals between patients with myocardial infarction and normal subjects by using nonlinear dynamics features and different classification models
Novel CEFNet framework for lung disease detection and infection region identification
A multi-branch hierarchical attention network for medical target segmentation
Real-time intraoperative blood pressure monitoring via heart sound
Fault and meal detection by redundant continuous glucose monitors and the unscented Kalman filter
An efficient approach to medical image fusion based on optimization and transfer learning with VGG19
Beta-band cortico-muscular phase coherence in hemiparetic stroke
Classification of complete blood count and haemoglobin typing data by a C4.5 decision tree, a naïve Bayes classifier and a multilayer perceptron for thalassaemia screening
Pelvic movement variability of healthy and unilateral hip joint involvement individuals
A comparison between Nonlinear Least Squares and Maximum Likelihood estimation for the prediction of tumor growth on experimental data of human and rat origin
A training strategy to reduce classification degradation due to electrode displacements in pattern recognition based myoelectric control
A novel Deeplabv3+ and vision-based transformer model for segmentation and classification of skin lesions
3DCellPol: Joint detection and pairing of cell structures to compute cell polarity
Detecting fraudulent whiplash claims by support vector machines
Diagnosis of Community-Acquired pneumonia in children using photoplethysmography and Machine learning-based classifier
Analysis of phase interactions between heart rate variability, respiration and peripheral microhemodynamics oscillations of upper and lower extremities in human
Multi-label classification of arrhythmia using dynamic graph convolutional network based on encoder-decoder framework
The role of the aortic area in type A aortic dissection
Optimizing the lateral beamforming step for filtered-delay multiply and sum beamforming to improve active contour segmentation using ultrafast ultrasound imaging
EEG classification by filter band component regularized common spatial pattern for motor imagery
Color-based template selection for detection of gastric abnormalities in video endoscopy
A feasibility study of leveraging intermuscular coherence in EMG-driven neuromusculoskeletal modeling to improve muscle moment estimation
Alzheimer 's disease identification from 3D SPECT brain scans by variational analysis
A cognitive IoT-based framework for effective diagnosis of COVID-19 using multimodal data
Assessment of agreement between pulse rate variability and heart rate variability depending fiducial point in multi-site photoplethysmography
Improved detection and analysis of Macular Edema using modified guided image filtering with modified level set spatial fuzzy clustering on Optical Coherence Tomography images
Attention-driven multi-sequence MRI representations for breast cancer diagnosis
Semi-automated detection of polysomnographic REM sleep without atonia (RSWA) in REM sleep behavioral disorder