yusuke1997/dblp-id-title huggingface dataset:
Brain stroke detection from MRI images using convolutional neural networks and XGBoost
Fundus image enhancement using visual transformation and maximum a posterior estimation
Autonomous grasping of 3-D objects by a vision-actuated robot arm using Brain-Computer Interface
Automatic detection of multiple types of pneumonia: Open dataset and a multi-scale attention network
SEC-GAN for robust speaker recognition with emotional state dismatch
STD-YOLOv7:A small target detector for micronucleus based on YOLOv7
Vaccination controllers for SEIR epidemic models based on fractional order dynamics
Control scheme of two d.o.f. CPM device to suppress the extension of ligament of the elbow
Label-free microscopic cell images adaptive enhancement via weighted fusion of bright, dark, and weak structure features
Hierarchical feature modeling with data augmentation and focal loss for drug-drug interaction extraction
Quantitative analysis of automatic voice disorder detection studies for hybrid feature and classifier selection
A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going
High-precision hemoglobin detection based on hyperspectral reconstruction of RGB images
Prospects and limitations of non-invasive blood glucose monitoring using near-infrared spectroscopy
ShockSurv: A machine learning model to accurately predict 28-day mortality for septic shock patients in the intensive care unit
Adversarial training based adaptive weighted hybrid network for autism spectrum disorder diagnosis
Dysphagia screening with sEMG, accelerometry and speech: Multimodal machine and deep learning approaches
CoSleepNet: Automated sleep staging using a hybrid CNN-LSTM network on imbalanced EEG-EOG datasets
The anterior contralateral response improves performance in a single trial auditory oddball BMI
Fully automated thyroid ultrasound screening utilizing multi-modality image and anatomical prior
A proof-of-concept investigation of multi-modal physiological signal responses to acute mental stress
Survey on segmentation and classification approaches of optic cup and optic disc for diagnosis of glaucoma
Few-shot learning with task adaptation for multi-category gastrointestinal endoscopy classification
ECG enhancement using a modified Bayesian framework and particle swarm optimization
Knowledge distillation-based deep learning classification network for peripheral blood leukocytes
Harmonious parameters and performance: Lightweight convolutional stage and local feature weighted fusion MLP for medical image segmentation
An integrated approach for magnification independent breast cancer classification
Brain tumor diagnosis using a step-by-step methodology based on courtship learning-based water strider algorithm
An efficient feature extraction scheme for classification of mental tasks based on inter-channel correlation in wavelet domain utilizing EEG signal
ZWNet: DarkNet53-based zero watermarking method for authentication of medical images inspired by Fibonacci Q-matrix and stationary wavelet transform
Development of myoelectric hand that determines hand posture and estimates grip force simultaneously
Exploiting inter-channel correlation in EEG signal reconstruction
DeepFilter: An ECG baseline wander removal filter using deep learning techniques
Myoformer: sEMG missing signal recovery for gesture recognition based on multi-channel self-attention mechanism
A new approach for effective retrieval and indexing of medical images
Compressive sensing applied to SSVEP-based brain-computer interface in the cloud for online control of a virtual wheelchair
Ultrasound image enhancement: A review
Image fusion by multiple features in the propagated filtering domain
Study on tower crane drivers' fatigue detection based on conditional empirical mode decomposition and multi-scale attention convolutional neural network
Automated and quantitative assessment of lymphatic contractile function based on NIR-II imaging
A hybrid fusion approach combining salience perception and generative adversarial networks for multimodal medical image integration
ECG PQRST complex detector and heart rate variability analysis using temporal characteristics of fiducial points
A morphological image processing method to improve the visibility of pulmonary nodules on chest radiographic images
Scatter correction based on quasi-Monte Carlo for CT reconstruction
Combining impedance cardiography with Windkessel model for blood pressure estimation
Prediction of pulse wave of target organ damage in hypertension based on multiple feature fusion
Analysis of EEG-derived brain networks for predicting rTMS treatment outcomes in MDD patients
Cross-domain knowledge integration framework for optical coherence tomography images denoising
A closed-loop brain-machine interface framework design for motor rehabilitation
Automatic channel selection in EEG signals for classification of left or right hand movement in Brain Computer Interfaces using improved binary gravitation search algorithm
Joint ensemble empirical mode decomposition and tunable Q factor wavelet transform based sleep stage classifications
FastTrans-Net: Fusion network with shift window hierarchical attention in multi-level enhanced space for skin lesion segmentation
Melanoma Detection through Combining Reinforcement Learning, Generative Adversarial Network, and Bayesian Optimization
Heterogeneous domain adaptation for intracortical signal classification using domain consensus
Multi-class segmentation of skin lesions via joint dictionary learning
An efficient classification framework for breast cancer using hyper parameter tuned Random Decision Forest Classifier and Bayesian Optimization
A novel approach to multiclass psoriasis disease risk stratification: Machine learning paradigm
RIFATA: Remora improved invasive feedback artificial tree algorithm-enabled hybrid deep learning approach for root disease classification
Characterisation of baseline oscillation in congenital nystagmus eye movement recordings
Automatic Parkinson's disease detection based on the combination of long-term acoustic features and Mel frequency cepstral coefficients (MFCC)
Multimodal attention-gated cascaded U-Net model for automatic brain tumor detection and segmentation
Attention-enhanced U-Net based network for cancerous tissue segmentation
EEG-based multi-level stress classification with and without smoothing filter
Cross-modality synthesis aiding lung tumor segmentation on multi-modal MRI images
System identification methods for dynamic models of brain activity
Style-KD: Class-imbalanced medical image classification via style knowledge distillation
Epileptic seizure detection via logarithmic normalized functional values of singular values
Decision support system for the glaucoma using Gabor transformation
Muscle activation patterns during gait: A hierarchical clustering analysis
Hawk-Net: Medical image segmentation and classification using multi-scale convolutional self-attention-based image processor with DK-CNN-Mamba-xAttention Fusion Network
Slice Segmentation Propagator: Propagating the single slice annotation to 3D volume
LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams
SWATT: Semi-Wavelet Attention Module for Enhancing Brain Tumor Image Segmentation
Artificial pancreas clinical trials: Moving towards closed-loop control using insulin-on-board constraints
Scalp tapping-based protocol for adjusting the parameters of binaural hearing aids
Data-driven based approaches for early diagnosis of Ischemic Heart Disease (IHD): A review of recent advancements, challenges, and opportunities
Using cortico-muscular and cortico-cardiac coherence to study the role of the brain in the development of muscular fatigue
Patient-specific method for predicting epileptic seizures based on DRSN-GRU
Automated lung ultrasound scoring for evaluation of coronavirus disease 2019 pneumonia using two-stage cascaded deep learning model
Centerline-supervision multi-task learning network for coronary angiography segmentation
Assessment of flourishing levels of individuals by using resting-state fNIRS with different functional connectivity measures
LCSCNet: A multi-level approach for lung cancer stage classification using 3D dense convolutional neural networks with concurrent squeeze-and-excitation module
Beam multiply and sum: A tradeoff between delay and sum and filtered delay multiply and sum beamforming for ultrafast ultrasound imaging
Marker displacement data filtering in gait analysis: A technical note
Automatic identification of eye movements using the largest lyapunov exponent
Hand-over-face occlusion and distance adaptive heart rate detection based on imaging photoplethysmography and pixel distance in online learning
ExpACVO-Hybrid Deep learning: Exponential Anti Corona Virus Optimization enabled Hybrid Deep learning for tongue image segmentation towards diabetes mellitus detection
Postprandial blood glucose control using a hybrid adaptive PD controller with insulin-on-board limitation
TransNetV: An optimized hybrid model for enhanced colorectal cancer image classification
MNet-SAt: A Multiscale Network with Spatial-enhanced Attention for segmentation of polyps in colonoscopy
MFIFN: A multimodal feature interaction fusion network-based model for Alzheimer's disease classification
Contour-aware consistency for semi-supervised medical image segmentation
Attention Res-UNet with Guided Decoder for semantic segmentation of brain tumors
RBTM: A Hybrid gradient Regression-Based transformer model for biomedical question answering
Deep transfer learning-based SSVEP frequency domain decoding method
Multimodal emotion recognition based on audio and text by using hybrid attention networks
A portable SSVEP-BCI system for rehabilitation exoskeleton in augmented reality environment
2D spectral-temporal fitting of functional MRS improves the fitting precision and noise robustness
FPGA-based real-time compressed sensing of multichannel EEG signals for wireless body area networks
A deep neuro-fuzzy machine learning model using ORB features for malignant melanoma classification from mixed-origin skin images
Change-point of multiple biomarkers in women with ovarian cancer
Prior-guided generative adversarial network for mammogram synthesis
DGAA: Domain Generalization with Amplitude Alignment
Subject-specific mental workload classification using EEG and stochastic configuration network (SCN)
Automatic 3D mitral valve leaflet segmentation and validation of quantitative measurement
ECG-based monitoring of blood potassium concentration: Periodic versus principal component as lead transformation for biomarker robustness
Automatic classification of apnea and normal subjects using new features extracted from HRV and ECG-derived respiration signals
Disease identification method based on graph features between pulse cycles
Automated ischemic stroke prediction from Alberta stroke Program Early CT scores utilizing optimized progressive cyclical convolutional neural network on CT scans
SKF-YOLO: An enhanced method for real-time blood cell detection
Audio-video database from subacute stroke patients for dysarthric speech intelligence assessment and preliminary analysis
Machine learning applications in the diagnostic work-up of varicocele
Classification of autism spectrum disorders based on the adaptive fuzzy reasoning system
Med-LVDM: Medical latent variational diffusion model for medical image translation
FAFilTransNet: A feature adaptive filtering Transformer-based network for accurate liver lesion segmentation
Classification of Obstructive Sleep Apnoea from single-lead ECG signals using convolutional neural and Long Short Term Memory networks
Exploring the potential of pre-trained CNN models for robust maternal-fetal ultrasound plane classification
Scalar and vector features selection from hyperspectral images for ML classifiers to compare the effects of X-ray and carbon ion radiations in probability space
MRI reconstruction based on three regularizations: Total variation and two wavelets
Evaluation of COVID-19 chest computed tomography: A texture analysis based on three-dimensional entropy
Myocardial segmentation in cardiac magnetic resonance images using fully convolutional neural networks
A novel model-based PET detector block simulation approach
Join security and block watermarking-based evolutionary algorithm and Racah moments for medical imaging
Designing a clinical decision support system for Alzheimer's diagnosis on OASIS-3 data set
EEG-based visual stimuli classification via reusable LSTM
Deep feature fusion classification network (DFFCNet): Towards accurate diagnosis of COVID-19 using chest X-rays images
Bayesian optimization enhanced FKNN model for Parkinson's diagnosis
Acoustic feedback cancellation in hearing aids using dual adaptive filtering and gain-controlled probe signal
Cerebral microcirculation in neurointensive care patients: An observational and comparative analysis of laser Doppler flowmetry signals and clinical monitoring data
A sparse dictionary representation approach for anti-scattering grid artifact removal in X-ray images
Recurrence quantification analysis of sustained sub-maximal grip contractions in patients with various metabolic muscle disorders
Bichromatic visual stimulus with subharmonic response to achieve a high-accuracy SSVEP BCI system with low eye irritation
An efficient boundary-aware adversarial model for polyp segmentation in colonoscopy images
A dense kernel point convolutional neural network for chronic liver disease classification with hybrid chaotic slime mould and giant trevally optimizer
Functional brain network based on improved ensemble empirical mode decomposition of EEG for anxiety analysis and detection
Single-click interactive cell nucleus image segmentation: Boosting accuracy with enhanced exclusion map and refinement segmentation
Multiple instance learning for medical image classification based on instance importance
An automatic image registration scheme using Tsallis entropy
Automatic localization of anatomical landmarks in cardiac MR perfusion using random forests
Statistical analysis of the 180 degree walking turn: Common patterns, repeatability and prediction bands of turn signals
A blockchain-based deep learning system with optimization for skin disease classification
F-SVD based algorithm for variability and stability measurement of bio-signals, feature extraction and fusion for pattern recognition
Respiration and heartbeat motion correction of intraoperative thermographic images in neurosurgery
CMVHHO-DKMLC: A Chaotic Multi Verse Harris Hawks optimization (CMV-HHO) algorithm based deep kernel optimized machine learning classifier for medical diagnosis
EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier
Robust insulin estimation under glycemic variability using Bayesian filtering and Gaussian process models
Diabetic retinopathy detection using developed hybrid cascaded multi-scale DCNN with hybrid heuristic strategy
A Multi-Granularity Feature Mixing Framework for single-channel EEG sleep staging with Hybrid Data Enrichment
DAEGAN: Generative adversarial network based on dual-domain attention-enhanced encoder-decoder for low-dose PET imaging
A prediction model for healthcare time-series data with a mixture of deep mixed effect models using Gaussian processes
Feature generation and multi-sequence fusion based deep convolutional network for breast tumor diagnosis with missing MR sequences
Content-based image retrieval for medical diagnosis using fuzzy clustering and deep learning
Epileptic-seizure classification using phase-space representation of FBSE-EWT based EEG sub-band signals and ensemble learners
Comprehensive information integration network for left atrium segmentation on LGE CMR images
A monocular medical endoscopic images depth estimation method based on a confidence-guided dual-branch siamese network
Monitoring cardiovascular changes due to local anesthesia during and after tooth extraction using pulse wave analysis
Multi-stage framework with difficulty-aware learning for progressive dose prediction
Grading diabetic retinopathy using multiresolution based CNN
EEG-based functional connectivity to analyze motor recovery after stroke: A pilot study
Securing copyright protection for retinal images through watermark image encryption in a robust zero-watermarking system
Camera-based respiration rate monitoring using informative frame extraction
A new data augmentation convolutional neural network for human emotion recognition based on ECG signals
A subject-independent portable emotion recognition system using synchrosqueezing wavelet transform maps of EEG signals and ResNet-18
Trusted multi-scale classification framework for whole slide image
Automated detection of COVID-19 cough
YOLOv9-AGMA: An enhanced knowledge distillation network for breast ultrasound image classification
DERE-Net: A dual-encoder residual enhanced U-Net for muscle fiber segmentation of H&E images
Measuring stress using wearable devices
Bidimensional ensemble empirical mode decomposition of functional biomedical images taken during a contour integration task
Overnight glucose control in people with type 1 diabetes
Deep relative motion analysis for the identification and phenotyping of scarred myocardium using cine-MRI
Predicting hypoxic hypoxia using machine learning and wearable sensors
Computer aided thyroid nodule detection system using medical ultrasound images
Multiclass convolutional neural network based classification for the diagnosis of brain MRI images
ECAU-Net: Efficient channel attention U-Net for fetal ultrasound cerebellum segmentation
Neural signal compression using a minimum Euclidean or Manhattan distance cluster-based deterministic compressed sensing matrix
SEAformer: Selective Edge Aggregation transformer for 2D medical image segmentation
Cervical lesion segmentation via transformer-based network with attention and boundary-aware modules
CNN and swin-transformer based efficient model for Alzheimer's disease diagnosis with sMRI
NF-EEG: A generalized CNN model for multi class EEG motor imagery classification without signal preprocessing for brain computer interfaces
NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals
Lightweight blockchain mechanism for secure data transmission in healthcare system
A comparison of open-loop and closed-loop stimulation strategies to control excitation of retinal ganglion cells
A comparison of five different algorithms for EEG signal analysis in artifacts rejection for monitoring depth of anesthesia
Multi-ganglion ANN based feature learning with application to P300-BCI signal classification
Neural network-based physiological organ motion prediction and robot impedance control for teleoperated beating-heart surgery
Classification of acoustic signals with new feature: Fibonacci space (FSp)
Automated detection and classification of leukemia on a subject-independent test dataset using deep transfer learning supported by Grad-CAM visualization
An enhanced ResNet deep learning method for multimodal signal-based locomotion intention recognition
Centroid calculation of the blastomere from 3D Z-Stack image data of a 2-cell mouse embryo
Reducing interdataset covariate shift in sleep EEG of traumatic brain injured humans and mice using Transfer Euclidean Alignment
MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice loss
Estimation of fibre architecture and scar in myocardial tissue using electrograms: An in-silico study
DeepCilia: Automated, deep-learning based engine for precise ciliary beat frequency estimation
Optimized feature selection for enhanced accuracy in knee osteoarthritis detection and severity classification with machine learning
Intent recognition of torso motion using wavelet transform feature extraction and linear discriminant analysis ensemble classification
BASCNet: Bilateral adaptive spatial and channel attention network for breast density classification in the mammogram
A dynamic model to characterize beat-to-beat adaptation of repolarization to heart rate changes
Atrial fibrillation detection method combining multi-scale bands and spatio-temporal features of ECG
Artificial intelligence approaches to physiological parameter analysis in the monitoring and treatment of non-communicable diseases: A review
Comprehending the impact of deep learning algorithms on optimizing for recurring impediments associated with stress prediction using ECG data through statistical analysis
CMAC-Net: Cascade Multi-Scale Attention Convolution Network for diabetic retinopathy lesion segmentation
Brain computer interface controlled automatic electric drive for neuro-aid system
Effective heart disease prediction using novel MLP-EBMDA approach
Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI
Hand gesture classification using time-frequency images and transfer learning based on CNN
Auto-segmentation of pancreatic tumor in multi-modal image using transferred DSMask R-CNN network
SLINet: Dysphasia detection in children using deep neural network
Corrigendum to "Multi-classification of fundus diseases based on DSRA-CNN" [Biomed. Signal Process. Control 77 (2022) 103763]
Spectral jitter modeling and estimation
Accurate detection of speech auditory brainstem responses using a spectral feature-based ANN method
Width-wise vessel bifurcation for improved retinal vessel segmentation
Denoising of 3D Magnetic resonance images based on balanced low-rank tensor and nonlocal self-similarity
Enhanced diagnosis of thyroid-associated eye diseases based on deep learning: A novel triplet loss design strategy
STCNet: Alternating CNN and improved transformer network for COVID-19 CT image segmentation
A genetic algorithm approach to the inverse problem of treatment planning for intensity-modulated radiotherapy
Energy and sparse coding coefficients as sufficient measures for VEBs classification
Factor analysis-based approach for early uptake automatic quantification of breast cancer by 18 F-FDG PET images sequence
Infant cry classification by MFCC feature extraction with MLP and CNN structures
SaltGAN: A feature-infused and loss-controlled generative adversarial network with preserved checkpoints for evolving histopathology images
Hardware-software codesign in an SoC-FPGA platform to implement a fusion framework using reduced dual-stack convolutional autoencoder
PEW-SegDiff: Feature Pyramids Edge-Weighted Diffusion Segmentation model for ultrasound thyroid nodule
An endoscopic images and diagnostic records based multimodal method for severity grading of gastric cancer
Towards mapping low-cost BCG to ECG using deep learning
Yolo-HLSAM: Adapting foundation segment anything model for semi-automatic detection and segmentation of breast cancer microcalcification clusters
A review of deep learning-based segmentation and registration of infant brain MRI
Using an innovative method for breast cancer diagnosis based on Extreme Gradient Boost optimized by Simplified Memory Bounded A*
Quantitative identification of blood pressure information through directly decoding intrafascicular vagal activities
Social cognition and functional brain network in autism spectrum disorder: Insights from EEG graph-theoretic measures
White-light endoscopic colorectal lesion detection based on improved YOLOv7
Feasibility study of 40 Hz trans-eyelid visual stimulation combined with SSVEP technology in healthy adults for neuromodulation
A deep framework for enhancement of diagnostic information in CSMRI reconstruction
Detection of sleep apnea using deep neural networks and single-lead ECG signals
Epileptic seizure prediction by the detection of seizure waveform from the pre-ictal phase of EEG signal
A Hybrid Approach for Early Diagnosis of Cardiac Ischemia from Electrocardiogram Signal: Combining Classical and Deep Learning-Based Features
A decision support system for automatic sleep staging from HRV using wavelet packet decomposition and energy features
Virtual constraint control of Knee-Ankle prosthesis using an improved estimate of the thigh phase-variable