yusuke1997/dblp-id-title huggingface dataset:
Improving model robustness via enhanced feature representation and sample distribution based on cascaded classifiers for computer-aided diagnosis of brain disease
Competition convolutional neural network for sleep stage classification
Feasibility assessment of transfer functions describing biomechanics of the human lower limb during the gait cycle
A tandem white shark algorithm approach for optimizing drug-disease and drug-drug interactions in multimorbidity and polypharmacy
A comparative study of brain tumor classification on unbalanced dataset using deep neural networks
A contrastive learning model of attentional enhancement for EEG cross-subject emotion recognition
CGTS-Net: Competitive grouped teacher-student network for semi-supervised medical image segmentation
Radar-Beat: Contactless beat-by-beat heart rate monitoring for life scenes
Classes U-Net: A method for nuclei segmentation of photoacoustic histology imaging based on information entropy image classification
A modified Gray Wolf Optimization algorithm for early detection of Parkinson's Disease
Inter-expert reliability in multi-field-of-view automatic drusen segmentation analysis using optical coherence tomography
A broadband method of quantifying phase synchronization for discriminating seizure EEG signals
Discriminative analysis of diabetic retinopathy using cascaded network with Atrous convolution and fundus biomarkers
Electrode-brain interface fractional order modelling for brain tissue classification in SEEG
Study on the usage feasibility of continuous-wave radar for emotion recognition
CFNet: Automatic multi-modal brain tumor segmentation through hierarchical coarse-to-fine fusion and feature communication
Motor imagery classification using parallel convolution transformer based feature extraction and RSA optimized ridge ELM classifier
Postural regulation and signal segmentation using clustering with TV regularization approach
Spectral F Test for detecting TMS/EEG responses
Multi-stream Bi-GRU network to extract a comprehensive feature set for ECG signal classification
Automatic sleeping time estimation and mild traumatic brain injury (mTBI) detection using actigraphy data
Classification of brain strokes using divergence-based convolutional neural networks
A region of interest based approach for texture analysis of medical images in space-frequency domain
Marker position uncertainty in joint angle analysis for normal human gait - A new error-modelling approach
Estimation of baroreflex sensitivity by Gaussian average filtering decomposition
Automatic detection of obstructive and restrictive lung disease from features extracted from ECG and ECG derived respiration signals
Identifying an increased risk of epileptic seizures using a multi-feature EEG-ECG classification
DCT based multi-head attention-BiGRU model for EEG source location
AdvFPCG-Delineator: Advanced delineator for fetal phonocardiography
Segmentation of cardiac sound signals by removing murmurs using constrained tunable-Q wavelet transform
Stability region derived by center of mass for older adults during trivial movements
A New Tumor-Immunotherapy Regimen based on Impulsive Control Strategy
Wavelet analysis of the Valsalva maneuver: Methodology validation and application to pathological subjects
Control of end-tidal carbon dioxide during phrenic nerve stimulation with mechanical ventilation
A collaborative multi-task model for immunohistochemical molecular sub-types of multi-modal breast cancer MRI images
A double-branch graph convolutional network based on individual differences weakening for motor imagery EEG classification
Presumptive discerning of the severity level of glaucoma through clinical fundus images using hybrid PolyNet
A three stage framework for abnormality detection in sperm cell images using CNN
Integrating important tile filtering and pathology foundation model for lung cancer mutation prediction from pathological images
Automatic identification of asthma from ECG derived respiration using complete ensemble empirical mode decomposition with adaptive noise and principal component analysis
A Novel Deep Learning based Gated Recurrent Unit with Extreme Learning Machine for Electrocardiogram (ECG) Signal Recognition
CardioECGNet: A novel deep learning architecture for accurate and automated ECG signal classification across diverse cardiac conditions
Validation of freely-available pitch detection algorithms across various noise levels in assessing speech captured by smartphone in Parkinson's disease
Electrophysiological correlates of the emotional response on brain activity in adolescents
Cell cluster detection of thyroid FNAB-WSI via deformable convolution with frequency channel attention
COVID-19 CT ground-glass opacity segmentation based on attention mechanism threshold
Human activity recognition using deep electroencephalography learning
A novel lung cancer detection adopting Radiomic feature extraction with Locust assisted CS based CNN classifier
Brain tumor segmentation using JGate-AttResUNet - A novel deep learning approach
Soliton-based single-point pulse wave velocity model: A quantum mechanical approach
A new method for muscular visual fatigue detection using electrooculogram
Novel algorithm for beat-to-beat heart rate measurement from the BCG in seated, standing and supine positions: Towards an universal algorithm
EEG-fMRI: Dictionary learning for removal of ballistocardiogram artifact from EEG
Gray wolf optimization and image enhancement with NLM Algorithm for multimodal medical fusion imaging system
HSI-MSSAF net: A dual-stream network for nasal tumor tissue diagnosis using hyperspectral spectral-spatial features
Single-lead ECG recordings modeling for end-to-end recognition of atrial fibrillation with dual-path RNN
Efficient and robust optic disc detection and fovea localization using region proposal network and cascaded network
Application of detector precision characteristics for the denoising of biological micrographs in the wavelet domain
EOG-free EEG using successive variational mode decomposition and fuzzy c-means clustering
The angular margin-based contrastive learning framework for breast ultrasound video diagnosis
Integrated smart analytics of nucleic acid amplification tests via paper microfluidics and deep learning in cloud computing
Contour-independent detection and classification of mammographic lesions
Video-based epileptic seizure classification: A novel multi-stage approach integrating vision and motion transformer deep learning models
MCANet: Hybrid multi-scale network for deformable brain medical image registration
MRI denoising using nonlocal neutrosophic set approach of Wiener filtering
The algorithm of stereo vision and shape from shading based on endoscope imaging
Active source-free domain adaptation for intracranial EEG classification via neighborhood uncertainty and diversity
TFCA-TransNet: Convolutional time-frequency-spatial feature fusion with channel attention transformer network for EEG-MI signal decoding
Coronavirus (COVID-19) detection from chest radiology images using convolutional neural networks
Enhancing CNNs through the use of hand-crafted features in automated fundus image classification
Compressed ECG sensing based heart rate asymmetry analysis for energy-constrained fast health monitoring
Collaborative human-robot surgery for Mandibular Angle Split Osteotomy: Optical tracking based approach
Automated newborn cry diagnostic system using machine learning approach
Seizure pattern-specific epileptic epoch detection in patients with intellectual disability
Unbiased estimation of permutation entropy in EEG analysis for Alzheimer's disease classification
OptRPC: A novel and optimized recurrence plot-based system for ECG beat classification
A State-by-State online transfer learning framework with incremental clustering for blood glucose prediction
Complexity-based analysis of the coupling between facial muscle and brain activities
Convolutional neural network approach for automatic tympanic membrane detection and classification
MultiModNet: An automated multimodal network for brain tumor volume determination and grading with three-dimensional u-net and deformable voxel fusion
Association between three-dimensional vessel geometry and the presence of atherosclerotic plaques in the left anterior descending coronary artery of high-risk patients
An improved hybrid AI model for prediction of arrhythmia using ECG signals
Advances in modeling and characterization of atrial arrhythmias
Detecting signal quality by ensemble empirical mode decomposition and Monte Carlo verification
Unified semantic model for medical image segmentation
Photoplethysmography signal quality assessment using attractor reconstruction analysis
Classification of pulmonary arterial pressure using photoplethysmography and bi-directional LSTM
Convolution neural networks for optical coherence tomography (OCT) image classification
Skin lesion segmentation via Neural Cellular Automata
Segmentation of optic disc and blood vessels in retinal images using wavelets, mathematical morphology and Hessian-based multi-scale filtering
A Novel Personal Best- Control Binary Particle Swarm Optimization (NPbest-BPSO) based electromyography (EMG) signal feature selection and classification
A combined feature-vector based multiple instance learning convolutional neural network in breast cancer classification from histopathological images
MSA-Net: multi-scale attention-based DenseNet for multi-label chest X-ray image classification
Remote heart rate measurement based on video color magnification and spatiotemporal self-attention
A paralleled CNN and Transformer network for PPG-based cuff-less blood pressure estimation
Recurrence network analysis of schizophrenia MEG under different stimulation states
Correlation analysis of the temporal dynamics of subcutaneous blood perfusion and skin temperature in post-occlusion reactive hyperaemia test
Deep unfolding network with Adaptive Sequential Recovery for MRI reconstruction
Multi-phase locking value: A generalized method for determining instantaneous multi-frequency phase coupling
Model-Free-Communication Federated Learning: Framework and application to Precision Medicine
Bi-DenseNet: Automatic recognition of ocular surface disease using smartphone imaging
Fusing multi-scale fMRI features using a brain-inspired multi-channel graph neural network for major depressive disorder diagnosis
Open-source toolkit for image acquisition and quality assessment of thin blood smears for malaria diagnosis
Negligible effect of brain MRI data preprocessing for tumor segmentation
Brain-computer interfaces for memory enhancement: Scientometric analysis and future directions
Fractional models in electrical impedance spectroscopy data for glucose detection
A novel approach for automated diagnosis of kidney stones from CT images using optimized InceptionV4 based on combined dwarf mongoose optimizer
Automated analysis of ECG waveforms with atypical QRS complex morphologies
Analysis of electrophysiological and mechanical dimensions of swallowing by non-invasive biosignals
Automatic discrimination between cough and non-cough accelerometry signal artefacts
Incremental learning of upper limb action pattern recognition based on mechanomyography
Optimum spectrum mask based medical image fusion using Gray Wolf Optimization
The ensemble multi-scale convolution neural network for visual target detection EEG-based brain-computer interfaces
YOLO-LG: An enhanced gesture recognition model with multi-scale feature fusion and large kernel attention for cognitive impairment patients
Reciprocal cross-modal guidance for liver lesion segmentation from multiple phases under incomplete overlap
Enhancing retinal blood vessel segmentation in medical images using combined segmentation modes extracted by DBSCAN and morphological reconstruction
Single-channel EEG-based sleep staging with rhythm representation and contrastive learning
Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition
Cognitive workload classification: Towards generalization through innovative pipeline interface using HMM
Performance evaluation of optimal ensemble learning approaches with PCA and LDA-based feature extraction for heart disease prediction
MKP-H2ANet: a lightweight multi-kernel pyramid hybrid adaptive attention convolutional neural network for Alzheimer's disease diagnosis
Enhancing cervical precancerous lesion detection using African Vulture Optimization Algorithm with Deep Learning model
Methodological issues in the spectral analysis of the heart rate variability: Application in patients with epilepsy
Unveiling stimulus transduction artifacts in auditory steady-state response experiments: Characterization, risks, and mitigation strategies
Cross-subject and cross-experimental classification of mental fatigue based on two-stream self-attention network
A novel ECG signal compression using wavelet and discrete anamorphic stretch transforms
Temporal super-resolution of echocardiography using a novel high-precision non-polynomial interpolation
MACA-Net: Multi-aperture curvature aware network for instance-nuclei segmentation
A novel multiscale convolutional neural network based age-related macular degeneration detection using OCT images
Removal of EOG artifacts and separation of different cerebral activity components from single channel EEG - An efficient approach combining SSA-ICA with wavelet thresholding for BCI applications
Spatial temporal graph convolution network for the analysis of regional wall motion in left ventricular opacification echocardiography
An Efficient PM - Multisampling Image Filtering with Enhanced CNN Architecture for Pneumonia Classfication
Boundary and channel double calibrated CT segmentation network for pneumonia in children
A two-step feature selection framework with L1L2R2 and ensemble hyperparameter tuning for predicting lung cancer: integrating stacked ensemble models
Surgical tool detection in open surgery based on improved-YOLOv8
EchoSAM: SAM adaption for unified 2D echocardiography segmentation and ejection fraction calculation
Excellent fine-tuning: From specific-subject classification to cross-task classification for motor imagery
MambaCT: A Mamba-based method for super-resolution of CT images
Deep learning myocardial infarction segmentation framework from cardiac magnetic resonance images
Subspace-based feature extraction on multi-physiological measurements of automobile drivers for distress recognition
Novel synchronization method for vectorcardiogram reconstruction from ECG printouts: A comprehensive validation approach
Classification cardiac beats using arterial blood pressure signal based on discrete wavelet transform and deep convolutional neural network
A benchmark tetra-modal biometric score database
Improving burn diagnosis in medical image retrieval from grafting burn samples using B-coefficients and the CLAHE algorithm
EEGAlzheimer'sNet: Development of transformer-based attention long short term memory network for detecting Alzheimer disease using EEG signal
The effect of beta/alpha neurofeedback training on imitating brain activity patterns in visual artists
An evolutionary crow search algorithm equipped with interactive memory mechanism to optimize artificial neural network for disease diagnosis
Motor imagery EEG classification algorithm based on improved lightweight feature fusion network
CBAMSNet: A lightweight skin lesion segmentation network with omni-dimensional dynamic convolution and CBAM-based multiscale attention
Comprehensive framework for ocular disease detection: utilizing Gegenbauer graph neural networks and fundus image data fusion techniques for enhanced classification of diverse ocular conditions
Timely detection of skin cancer: An AI-based approach on the basis of the integration of Echo State Network and adapted Seasons Optimization Algorithm
Balancing regional and global information: An interactive segmentation framework for ultrasound breast lesion
Edge computing for diabetic early disease prediction based on optimized ensemble boosting Fuzzified neural network using recursive support vector feature selection
Motor imagery classification in brain-machine interface with machine learning algorithms: Classical approach to multi-layer perceptron model
DAFFNet: A dual attention feature fusion network for classification of white blood cells
A new coil structure for implantable wireless charging system
Optimized adaptive neuro fuzzy inference system (OANFIS) based EEG signal analysis for seizure recognition on FPGA
Bagged tree ensemble modelling with feature selection for isometric EMG-based force estimation
Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network
Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach
Computer-aided non-invasive methods of anemia detection: A systematic review
Systolic blood pressure estimation using ECG and PPG in patients undergoing surgery
Automated detection and removal of artifacts from sEMG signals based on fuzzy inference system and signal decomposition methods
Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images
A novel one-stage framework for visual pulse rate estimation using deep neural networks
Feature fusion for imbalanced ECG data analysis
Ensemble machine learning and tree-structured Parzen estimator to predict early-stage pancreatic cancer
A novel thermal imaging-based framework for continuous ASD classification and behavior analysis using facial mood and skin temperature features
Optimizer-based power allocation and sub-channel assignment model in NOMA
Sequence signal reconstruction based multi-task deep learning for sleep staging on single-channel EEG
A multi-level features modeling network for cardiac motion estimation
Automated breast cancer detection in digital mammograms: A moth flame optimization based ELM approach
Hierarchical multi-scale dynamic graph analysis for early detection of change in EEG signals
Evaluation of stabilometry descriptors for human balance function classification using diagnostic and statokinesigram data
9IEC: A novel method for exposer region determination in low contrast and nonuniform illumination chest X-ray imaging
DCDS-Net: Deep transfer network based on depth-wise separable convolution with residual connection for diagnosing gastrointestinal diseases
Augmented dialectal speech recognition for AI-based neuropsychological scale assessment in Alzheimer's disease
EfficientNet embedded with spatial attention for recognition of multi-label fundus disease from color fundus photographs
Deep stacked least square support matrix machine with adaptive multi-layer transfer for EEG classification
A novel method for vascular age estimation via pressure pulse wave of radial artery
Deep learning network (DL-Net) based classification and segmentation of multi-class retinal diseases using OCT scans
Fusion of electroencephalograms at different channels and different activities via multivariate quaternion valued singular spectrum analysis for intellectual and developmental disorder recognition
Spectral estimation of HRV in signals with gaps
A shallow 2D self-attention-CNN framework for depression severity identification using EEG functional connectivity network
Signal processing methods for information enhancement in atrial fibrillation: Spectral analysis and non-linear parameters
IMSF-Net:An improved multi-scale information fusion network for PPG-based blood pressure estimation
Predicting FOXA1 gene mutation status in prostate cancer through multi-modal deep learning
Information based similarity analysis of oxygen saturation recordings to detect Pulmonary hypertension in preterm infants
HiFuse: Hierarchical multi-scale feature fusion network for medical image classification
Rapid auscultation techniques for acute heart failure in ambulance scenarios
Guided trilateral filter and its application to ultrasound image despeckling
A novel heart sound activity detection framework for automated heart sound analysis
Accurately matching serial whole slide images for tumor heterogeneity analysis
Towards collaborative work among speech therapists, phoniatricians, and ENT professionals: Analysis of the impact of ciphering techniques in the performance of an integrated tool for the diagnosis of voice disorders
Raw EMG classification using extreme value machine
E-FNet: A EEG-fNIRS dual-stream model for Brain-Computer Interfaces
Fed-GFM-DG: A privacy-preserving framework for fundus image segmentation via generative-based feature generalization and mask-guided aggregation
Signal-to-noise ratio of diffusion weighted magnetic resonance imaging: Estimation methods and in vivo application to spinal cord
Expert knowledge guided manifold representation learning for magnetic resonance imaging-based glioma grading
Fetal ECG extraction exploiting joint sparse supports in a dual dictionary framework
A wavelet based method for electrical stimulation artifacts removal in electromyogram
EfficientNetV2_S-AbiLSTM: A novel cross-modal lightweight transfer learning framework for seizure prediction using EEG spectrograms
Skin temperature variations as a tracer of microvessel tone
A medical report generation method integrating teacher-student model and encoder-decoder network
Fractal analysis of MR images in patients with chiari malformation: The importance of preprocessing
Explainable AI decision model for ECG data of cardiac disorders
Discrimination of Parkinsonian tremor from essential tremor by implementation of a wavelet-based soft-decision technique on EMG and accelerometer signals
Arteriovenous shunt stenosis assessment based on empirical mode decomposition and 1D-convolutional neural network: Clinical trial stage
Opti-EN-net: Optimized ensemble deep neural network for the classification of Retinal Detachment through fundus images
ECGsound for human identification
Multimodal spatial-based segmentation framework for white matter lesions in multi-sequence magnetic resonance images
Review: Algorithmic advances in central serous chorioretinopathy OCT: From classification to segmentation
Simple real-time QRS detector with the MaMeMi filter
Impact of categorical and numerical features in ensemble machine learning frameworks for heart disease prediction
Multi-position spine X-ray image segmentation based on lightweight multi-scale feature collaboration network
Ensemble recurrent u-net for segmentation of liver from Non-Contrast CT images
A novel quadrature clutter rejection approach based on the multivariate empirical mode decomposition for bidirectional Doppler ultrasound signals
SleepEGAN: A GAN-enhanced ensemble deep learning model for imbalanced classification of sleep stages
Retinal optic disc localization and extraction algorithm based on hierarchical segmentation
Hybrid deep neural network using transfer learning for EEG motor imagery decoding
Analysis of working memory from EEG signals under different emotional states
An automated snoring sound classification method based on local dual octal pattern and iterative hybrid feature selector
Large-scale resting-state fMRI analysis via regression-assisted framework
Kinetic tremor analysis using wearable sensors and fuzzy inference systems in Parkinson's disease
Detection of Parkinson's disease based on voice patterns ranking and optimized support vector machine
Multi-channel neuro signal classification using Adam-based coyote optimization enabled deep belief network
Audio texture analysis of COVID-19 cough, breath, and speech sounds
Classification of tracheal stenosis with asymmetric misclassification errors from EMG signals using an adaptive cost-sensitive learning method
An efficient two-pass classifier system for patient opinion mining to analyze drugs satisfaction
Ensemble of weighted deep concatenated features for the skin disease classification model using modified long short term memory
An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces
An adaptive human-machine control system based on multiple fuzzy predictive models of operator functional state