yusuke1997/dblp-id-title huggingface dataset:
DEEP GD: Deep learning based snapshot ensemble CNN with EfficientNet for glaucoma detection
A fully customized enhancement scheme for controlling brightness error and contrast in magnetic resonance images
Cosine deep convolutional neural network for Parkinson's disease detection and severity level classification using hand drawing spiral image in IoT platform
Enhanced multimodal emotion recognition in healthcare analytics: A deep learning based model-level fusion approach
Inertial data-based gait metrics correspondence to Tinetti Test and Berg Balance Scale assessments
Computer aided detection of prostate cancer using multiwavelength photoacoustic data with convolutional neural network
A hierarchical classification of gestures under two force levels based on muscle synergy
An integrated multi-modal and multi-task learning method for Alzheimer's disease diagnosis
LSCAformer: Long and short-term cross-attention-aware transformer for depression recognition from video sequences
A digitized approach for amplitude-integrated electroencephalogram transformation towards a standardized procedure
Review on EEG and ERP predictive biomarkers for major depressive disorder
An improved soft subspace clustering for magnetic resonance images segmentation
PriFL-XAI: Hybrid privacy-preserving federated learning models for monkeypox detection through GAN augmentation and explainable AI
Effect of ultrasounds on neurons and microglia: Cell viability and automatic analysis of cell morphology
Machine learning framework for Inter-Beat Interval estimation using wearable Photoplethysmography sensors
Empirical wavelet transform based automated alcoholism detecting using EEG signal features
Comparison of machine learning strategies for infrared thermography of skin cancer
Measuring signal fluctuations in gait rhythm time series of patients with Parkinson's disease using entropy parameters
Unsupervised clustering of fMRI and MRI time series
Detecting human activity types from 3D posture data using deep learning models
Recognition of EEG based on Improved Black Widow Algorithm optimized SVM
A novel approach for grading renal cell carcinoma using wavelet-aided nuclei segmentation and handcrafted morphological features
Fusion of multiple classifiers for motor unit potential sorting
Segmentation of multispectral images based on band selection by including texture and mutual information
Early anomaly prediction in breast thermogram by hybrid model consisting of superpixel segmentation, sparse feature descriptors and extreme learning machine classifier
Unsupervised neural decoding of signals recorded by thin-film electrode arrays implanted in muscles using autoencoding with a physiologically derived optimisation criterion
Multi-task cascaded assessment of signal quality for long-term single-lead ECG monitoring
Adjacent slices disentangled 2.5D network for spinal segmentation on multi-view MR images
Automatic segmentation of corneal endothelial cells from microscopy images
Multi-channel EEG-based BCI using regression and classification methods for attention training by serious game
Subject-transfer framework with unlabeled data based on multiple distance measures for surface electromyogram pattern recognition
A nonlocal enhanced Low-Rank tensor approximation framework for 3D Magnetic Resonance image denoising
A novel hybrid model in the diagnosis and classification of Alzheimer's disease using EEG signals: Deep ensemble learning (DEL) approach
Rapid extraction of respiratory waveforms from photoplethysmography: A deep corr-encoder approach
LGNet: Learning local-global EEG representations for cognitive workload classification in simulated flights
Hybrid attention-based temporal convolutional networks for driver fatigue detection using physiological signal
A noise-tolerant dual multi-classifier system with fuzzy model applied to the sEMG-based control of a bionic upper limb prosthesis
Prototype transfer generative adversarial network for unsupervised breast cancer histology image classification
S 3 -OCTA: A precise centerline-based method for retinal vessel segmentation in OCTA images
Research on temporal segmentation of surgical gestures for damage control surgery based on the Reformer method
Hypoglycemia and hyperglycemia detection using ECG: A multi-threshold based personalized fusion model
A systematic evaluation of autism spectrum disorder identification with Scanpath Trend Analysis (STA)
A novel bidirectional LSTM network based on scale factor for atrial fibrillation signals classification
A novel automated system of discriminating Microaneurysms in fundus images
Effects of number of maxima and electrical dynamic range on speech-in-noise perception with an " n -of- m " cochlear-implant strategy
Effect of music stimuli on corticomuscular coupling and the brain functional connectivity network
A deep learning-based comparative MRI model to detect inflammatory changes in rheumatoid arthritis
WaTER: Leveraging wavelet transform and transformer-based cross attention for airway segmentation from CT images
Spatio-time-frequency joint sparse optimization with transfer learning in motor imagery-based brain-computer interface system
Sleep stages classification based on heart rate variability and random forest
Online classification algorithm for eye-movement-based communication systems using two temporal EEG sensors
Local and long-range progressive fusion network for knee joint segmentation
RANT: A cascade reverse attention segmentation framework with hybrid transformer for laryngeal endoscope images
FQCDM: Feature quantization-based cardiac image diffusion synthesis model
Blood glucose control algorithms for type 1 diabetic patients: A methodological review
Constructing lightweight and efficient spiking neural networks for EEG-based motor imagery classification
milVAD: A bag-level MNIST modelling of voice activity detection using deep multiple instance learning
A topology constrained geometric deformable model for medical image segmentation
Multi-level classification of knee cartilage lesion in multimodal MRI based on deep learning
Low-dose chest X-ray image super-resolution using generative adversarial nets with spectral normalization
Visualization of ultrasonic-guided-wave propagation behaviors in human long bone
Brain tumor segmentation by cascaded multiscale multitask learning framework based on feature aggregation
Toward asynchronous EEG-based BCI: Detecting imagined words segments in continuous EEG signals
A Multiscale Atrous Convolution-based Adaptive ResUNet3 + with Attention-based ensemble convolution networks for brain tumour segmentation and classification using heuristic improvement
Multi-feature fusion method based on WOSF and MSE for four-class MI EEG identification
Enhanced accuracy and reliability in predicting Nipah virus outbreaks with Type-1 and Type-2 fuzzy sets
Significant pathological voice discrimination by computing posterior distribution of balanced accuracy
An intelligent generalized system for tissue classification on MR images by integrating qualitative medical knowledge
EEG segments synchronized to be temporally farthest from the R-waves in ECG are more informative during listening to music
Predicting the anterior slippage of vertebral lumbar spine using Densenet-201
Deformable medical image registration via multiview adversarial learning
Studying of deep neural networks and delta and alpha sub-bands harmony signals for Prediction of epilepsy
Multifunctional robot based on multimodal brain-machine interface
Heat transfer capacity in millimeter size breast cancer cells analysis through thermal imaging and FDNCNN for primary stage identification
Predicting small molecule-miRNA associations using matrix enhancement and collaborative double matrix completion
Towards automated electroencephalography-based Alzheimer's disease diagnosis using portable low-density devices
AdvanceSplice: Integrating N-gram one-hot encoding and ensemble modeling for enhanced accuracy
General probability distribution model for wireless body sensors in the medical monitoring system
Network approaches in anomaly detection for disease conditions
An approach to early stage detection of atherosclerosis using arterial blood pressure measurements
Monitoring and fuzzy warning system for risk prevention of Guyon's canal syndrome
Mild traumatic brain injury detection: uncovering neural interaction patterns through dynamic Hilbert warping features with EEG data
Deformable transformer for endoscopic video super-resolution
Cardiovascular response as a marker of environmental stress caused by variations in geomagnetic field and local weather
Abnormal Heart Sound Detection using Time-Frequency Analysis and Machine Learning Techniques
Improved C-arm cardiac cone beam CT based on alternate reconstruction and segmentation
Analysis of changes in the beat-to-beat P-wave morphology using clustering techniques
CompSegNet: An enhanced U-shaped architecture for nuclei segmentation in H&E histopathology images
Epilepsy detection based on optimal filterbank decomposition and KNN classifier
FGPat18: Feynman graph pattern-based language detection model using EEG signals
Epilepsy seizure detection using eigen-system spectral estimation and Multiple Layer Perceptron neural network
Wavelet transformation and vertical stacking based image classification applying machine learning
Feature subset selection and classification of intracardiac electrograms during atrial fibrillation
A New Glycemic closed-loop control based on Dyna-Q for Type-1-Diabetes
A novelty towards neural signatures - Unveiling the inter-subject distance metric for EEG-based motor imagery
Diagnosis of invasive pancreatic cancer in endoscopic ultrasound images leveraging translation models
A proof of concept study of acoustic sensing of lung recruitment during mechanical ventilation
Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia
Remote estimation of pulse wave features related to arterial stiffness and blood pressure using a camera
TPOT with SVM hybrid machine learning model for lung cancer classification using CT image
Improved ResNet_101 assisted attentional global transformer network for automated detection and classification of diabetic retinopathy disease
CTBViT: A novel ViT for tuberculosis classification with efficient block and randomized classifier
Hardware synthesis of closed loop PID controlled L-DOPA model for automated drug delivery
Analysis of atrial and ventricular premature contractions using the Short Time Fourier Transform with the window size fixed in the frequency domain
Simulation of wind turbine system using field oriented control and Levenberg-Marquardt Back Propagation (LMBP) neural network model
Enhancing whole slide image classification through label denoising in a multi-instance learning framework
FCG-Net: An innovative full-scale connected network for thyroid nodule segmentation in ultrasound images
Novel multimodal emotion detection method using Electroencephalogram and Electrocardiogram signals
Advances and clinical Implications of neuroanatomical biomarkers in schizophrenia by optimizing brain tissue segmentation
A composite classification algorithm of motor imagery EEG signals based on PLV-GCN+LSTM model
Bridging the gap between robotic technology and health care
CT-Net: Cascaded T-shape network using spectral redundancy for dual-energy CT limited-angle reconstruction
Atrioventricular nodal function during atrial fibrillation: Model building and robust estimation
Binarized spiking neural network optimized with momentum search algorithm for fetal arrhythmia detection and classification from ECG signals
Enhancing ICD Code assignment with hierarchical multi-agent collaboration and reinforcement learning
GLCM and statistical features extraction technique with Extra-Tree Classifier in Macular Oedema risk diagnosis
Spectral features and optimal Hierarchical attention networks for pulmonary abnormality detection from the respiratory sound signals
A dual approach for positive T-S fuzzy controller design and its application to cancer treatment under immunotherapy and chemotherapy
Visual saliency decoding algorithm based on EEG signals
Developing an explainable Deep Neural Network for stress detection using biosignals and human-engineered features
Identification of a nonlinear model for a glucoregulatory benchmark problem
Bayesian approach to identify spike and sharp waves in EEG data of epilepsy patients
Virtual system for early detection of COVID-19 infection "Etaware-CDT-2020 prototype design" (corroborated by rRT-PCR data)
Motor imagery classification by active source dynamics
Quantitative electroencephalographic biomarkers behind major depressive disorder
Classification of autism spectrum disorder based on fluctuation entropy of spontaneous hemodynamic fluctuations
Phonocardiography for robust fetal heart rate estimation in real clinical conditions
Linear regression with frequency division technique for robust simultaneous and proportional myoelectric control during medium and high contraction-level variation
Neural architecture search for real-time quality assessment of wearable multi-lead ECG on mobile devices
Grid cell firing field detection using compressed sensing
Multiclass classification of oral mucosal lesions by deep learning from clinical images without performing any restrictions
Gannet devil optimization-based deep learning for skin lesion segmentation and identification
Adaptive dynamic skip connection convolution network for sleep stage classification by using single-channel electrocardiogram
T-CADiff: Conditional guidance based diffusion model for medical image segmentation
Audio-video emotional response mapping based upon Electrodermal Activity
Optimized DEC: An effective cough detection framework using optimal weighted Features-aided deep Ensemble classifier for COVID-19
MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks
MSS-JDA: Multi-Source Self-Selected Joint Domain Adaptation method based on cross-subject EEG emotion recognition
FFBFormer: Integrating Multi-Scale Transformer Networks for Glioma Diagnosis in Decision-Making System
Integrated lung field segmentation of injured region with anatomical structure analysis by failure-recovery algorithm from chest CT images
BMANet: Boundary-guided multi-level attention network for polyp segmentation in colonoscopy images
MH-COVIDNet: Diagnosis of COVID-19 using deep neural networks and meta-heuristic-based feature selection on X-ray images
Study on venture capital multi-attribute group decision-making based on improved Hamming-Hausdorff distance and weighted bidirectional projection
Uncertainty-weighted feature alignment and information interaction network for multi-scale medical image segmentation
Calibrating EEG features in motor imagery classification tasks with a small amount of current data using multisource fusion transfer learning
Localization of mixed intracranial hemorrhages by using a ghost convolution-based YOLO network
Development of a biofeedback system using harmonic musical intervals to control heart rate variability with a generative adversarial network
Diffuse to fuse EEG spectra - Intrinsic geometry of sleep dynamics for classification
Wading corvus optimization based text generation using deep CNN and BiLSTM classifiers
Synchroextracting chirplet transform-based epileptic seizures detection using EEG
Hypoglycemia-induced EEG complexity changes in Type 1 diabetes assessed by fractal analysis algorithm
Optimized dynamic global structure enhanced multi-channel graph neural network based automatic cataract disease classification
Self-paced selective learning with dual-domain augmentation for cardiac MRI segmentation
ASFCP-Net: Axial Spatial-Frequency Domain Collaborative Perception Dual-Branch Network for breast lesion segmentation in ultrasound images
Optimized feature selection for the classification of uterine magnetomyography signals for the detection of term delivery
Limitations of principal component analysis in COVID-19 CT image classification
Oriented fractal analysis for improved bone microarchitecture characterization
A new approach to fully-reversible watermarking in medical imaging with breakthrough visibility parameters
Characterization of REM/NREM sleep using breath sounds in OSA
Approach and application of extracting matching features from E-nose signals for AI tasks
Review of ECG detection and classification based on deep learning: Coherent taxonomy, motivation, open challenges and recommendations
Hemispheric lateralization during active and imagined movements assessed by transcranial doppler ultrasound
DOKD-MFR: Integrating Dual Online Knowledge Distillation with Multi-scale Feature Refinement for pneumonia image recognition
Left atrial overload detection in ECG using frequency domain features with machine learning and deep learning algorithms
Source-free unsupervised adaptive segmentation for knee joint MRI
Uncertainty parameter weighted entropy-based fuzzy c-means algorithm using complemented membership functions for noisy volumetric brain MR image segmentation
PCA-ICA for automatic identification of critical events in continuous coma-EEG monitoring
Manual acupuncture manipulation recognition model with a multimodal fusion of tactile and visual features
Breast cancer diagnosis using evolving deep convolutional neural network based on hybrid extreme learning machine technique and improved chimp optimization algorithm
A New optimized sequential method for lung tumor diagnosis based on deep learning and converged search and rescue algorithm
Attention combined pyramid vision transformer for polyp segmentation
A novel Discrete Wavelet-Concatenated Mesh Tree and ternary chess pattern based ECG signal recognition method
Cadence control system for paediatric functional electrical stimulation cycling
DM-RRG: Radiology image report generation with disease-topic guidance and multi-grained Image-Text alignment
Unsupervised disease tags for automatic radiology report generation
Detection of peripheral arterial disease using Doppler spectrogram based expert system for Point-of-Care applications
Preprocessing and pattern recognition for Single-Lead cardiac dynamic model
A Transformer utilizing bidirectional cross-attention for multi-modal classification of Age-Related Macular Degeneration
Low-complexity adaptive minimum variance ultrasound beam-former based on diagonalization
Classification of low-functioning and high-functioning autism using task-based EEG signals
Exploring non-Euclidean relationships in EEG emotion recognition: A dynamic graph attention network
Automatic segmentation of prostate and organs at risk in CT images using an encoder-decoder structure based on residual neural network
3D reconstruction of coronary arteries and atherosclerotic plaques based on computed tomography angiography images
VocDoc, what happened to my voice? Towards automatically capturing vocal fatigue in the wild
Editorial for the VSI: Control of prostheses
What filter passband should be applied to the ballistocardiogram?
DeepIH: A deep learning-based near-patient system for treatment recommendation in infantile hemangiomas
Patient-specific hemodynamics modeling of carotid artery stenosis in a swine model based on 3D rotational angiography
Novel data fusion strategy for human gait analysis using multiple kinect sensors
Denoising optical coherence tomography using second order total generalized variation decomposition
A 3D insulin sensitivity prediction model enables more patient-specific prediction and model-based glycaemic control
Two-level coarse-to-fine classification algorithm for asthma wheezing recognition in children's respiratory sounds
An optimized hybrid deep learning based approach for brain tumor classification
Automatic skin tumor detection in dermoscopic samples using Online Patch Fuzzy Region Based Segmentation
Complexity-based analysis of the correlation between stride interval variability and muscle reaction at different walking speeds
Deep learning-enabled detection and localization of gastrointestinal diseases using wireless-capsule endoscopic images
Data-driven Human Energy Expenditure Prediction: Contrasting Personalized and Population-Based Models
Construction of unbiased dental template and parametric dental model for precision digital dentistry
Discrimination between different degrees of coronary artery disease using time-domain features of the finger photoplethysmogram in response to reactive hyperemia
Erratum to "Online classification algorithm for eye-movement-based communication systems using two temporal EEG sensors" [Biomed. Signal Process. Control 16 (2015) 40-47]
A morphology-based radiological image segmentation approach for efficient screening of COVID-19
A novel multi-scale context aggregation and feature pooling network for Mpox classification
Comparison by multivariate auto-regressive method of seizure prediction for real patients and virtual patients
Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection
Spatial feature fusion in 3D convolutional autoencoders for lung tumor segmentation from 3D CT images
ULD-Net: A U-shaped branch large kernel depthwise convolution volume network for 3D medical image segmentation
Time-Series autocorrelative structure of cerebrovascular reactivity metrics in severe neural injury: An evaluation of the impact of data resolution
Visual enhancement of chest X-ray scans through metaheuristic-based optimization of Gamma correction and CLAHE
Wavelet U-Net++ for accurate lung nodule segmentation in CT scans: Improving early detection and diagnosis of lung cancer
Identification of periodic bursts in surface EMG: Applications to the erector spinae muscles of sitting violin players
Adaptive reinforcement ensemble transfer learning for robust lung tumor detection
G3CM-MBUNet: Task sensitive multi-graph convolution module combined with multibranch U-Net for multi-task learning of tumors
WMCF-Net: Wavelet pooling-based multiscale contextual fusion network for polyp classification
MOSMOS: Multi-organ segmentation facilitated by medical report supervision
On a standing wave Central Pattern Generator and the coherence problem
PhysKANNet: A KAN-based model for multiscale feature extraction and contextual fusion in remote physiological measurement
A review on recent developments in cancer detection using Machine Learning and Deep Learning models
GUDU: Geometrically-constrained Ultrasound Data augmentation in U-Net for echocardiography semantic segmentation
Channel separation-based network for the automatic anatomical site recognition using endoscopic images
Blood glucose prediction for type 2 diabetes using clustering-based domain adaptation
Exploiting multi-scale signal information in joint compressed sensing recovery of multi-channel ECG signals
Brain tumor Classification using Optimized and Relief-based Feature Reduction and Regression Neural Network
Electrocardiogram beat type dictionary based compressed sensing for telecardiology application
DCML: Deep contrastive mutual learning for COVID-19 recognition
Copula as a dynamic measure of cardiovascular signal interactions
A robust signal preprocessing framework for wrist pulse analysis
Deep fuzzy model for non-linear effective connectivity estimation in the intuition of consciousness correlates
Human activity recognition and fall detection using convolutional neural network and transformer-based architecture
Lower limb Locomotion Mode Recognition based on sEMG: A pilot study in healthy individuals and stroke patients
A new approach for daily life Blood-Pressure estimation using smart watch
Localization of seizure onset zone with epilepsy propagation networks based on graph convolutional network
Alzheimer's disease prediction using CAdam optimized reinforcement learning-based deep convolutional neural network model
Atrial lead system for enhanced P-wave recording: A comparative study on optimal leads using gradient boosting and deep learning algorithms
A CAD system design for Alzheimer's disease diagnosis using temporally consistent clustering and hybrid deep learning models
EEG-based classification framework for the detection of Alzheimer's disease and mild cognitive impairment