yusuke1997/dblp-id-title huggingface dataset:
Improving brain tumor classification performance with an effective approach based on new deep learning model named 3ACL from 3D MRI data
Brain tumor classification using the modified ResNet50 model based on transfer learning
Preliminary assessment of the effectiveness of neoadjuvant chemotherapy in breast cancer with the use of ultrasound image quality indexes
Design of a portable retinal imaging module with automatic abnormality detection
CAT-Net: Convolution, attention, and transformer based network for single-lead ECG arrhythmia classification
Wearable system for real-time monitoring of hemodynamic parameters: Implementation and evaluation
Performance analysis of a generalized motion capture system using microsoft kinect 2.0
A robust Fourier-based method to measure pulse pressure variability
Dissimilarity-based time-frequency distributions as features for epileptic EEG signal classification
Attention gated tensor neural network architectures for speech emotion recognition
ERNet: A deep framework for detection and classification of lung cancer from histopathological images
Self-training with dual uncertainty for semi-supervised MRI image segmentation
Short Communication: Continuous body movement-robust respiration rate detection using Frequency-Modulated Continuous Wave millimeter wave radar based on non-negative matrix factorization algorithm
rPPG-FuseNet: Non-contact heart rate estimation from facial video via RGB/MSR signal fusion
Automatic 3D model-based method for liver segmentation in MRI based on active contours and total variation minimization
An Improved Deep Persistent Memory Network for Rician Noise Reduction in MR Images
Concentric and eccentric isokinetic muscle activity separated by paired pattern classification of wavelet transformed mechanomyograms
EEG-based emotion recognition based on 4D feature representations and multiple attention mechanisms
Conflicting interactions in multiple closed-loop controlled critical care Treatments: A hemorrhage resuscitation-intravenous propofol sedation case study
CCFE: Complementary-Correlation based Feature Extraction for semi-supervised 3D medical image segmentation
Comparative analysis of ResNet, ResNet-SE, and attention-based RaNet for hemorrhage classification in CT images using deep learning
The impacts of temporal autocorrelations on EEG decoding
Ensemble artificial neural networks applied to predict the key risk factors of hip bone fracture for elders
A combined feature set for automatic diaphyseal Tibial fracture classification from X-Ray images
CotepRes-Net: An efficient U-Net based deep learning method of liver segmentation from Computed Tomography images
OCT sequence registration before and after percutaneous coronary intervention (stent implantation)
Analysis of heart rate variability during exercise stress testing using respiratory information
Functional brain network based multi-domain feature fusion of hearing-Impaired EEG emotion identification
A new morphological classification of keratoconus using few-shot learning in candidates for intrastromal corneal ring implants
A nasal cytology dataset for object detection and deep learning
CRCNet: Global-local context and multi-modality cross attention for polyp segmentation
EEG-based attention state classification via multi-domain feature fusion
Machine learning based severity classification of obstructive sleep apnea patients using awake EEG
Reliable semi-supervised mutual learning framework for medical image segmentation
Segmentation of gastric cancer from microscopic biopsy images using deep learning approach
MFUnetr: A transformer-based multi-task learning network for multi-organ segmentation from partially labeled datasets
Low complexity and accurate Machine learning model for waterborne pathogen classification using only three handcrafted features from optofluidic images
Mathematical model-based markers of autonomic nervous activity during the Valsalva Maneuver and comparison to heart rate variability
Chaotic based reconstructed phase space features for detecting ventricular fibrillation
MSCB-UNet : Elevating skin lesion segmentation performance with Multi-scale Spatial-Channel Bridging Network
Hybrid feature-based anxiety detection in autism using hybrid optimization tuned artificial neural network
Automatic detection of optic disc in color fundus retinal images using circle operator
Voice disorders assessed by (cross-) Sample Entropy of electroglottogram and microphone signals
A novel model of gravity challenge device
Kidney stone detection using an optimized Deep Believe network by fractional coronavirus herd immunity optimizer
A novel balance index for preliminary assessment of proprioception based on a balance-cognitive study
Deep CNN model based on serial-parallel structure optimization for four-class motor imagery EEG classification
COMA-Net: Towards generalized medical image segmentation using complementary attention guided bipolar refinement modules
A residual GRU method with deep cross fusion for Alzheimer's disease progression prediction using missing variable-length time series data
Deep fusion of human-machine knowledge with attention mechanism for breast cancer diagnosis
A data partitioning method for increasing ensemble diversity of an eSVM-based P300 speller
External validation and sub-cohort analysis of stochastic forecasting models in NICU cohorts
Cardiocipherchain: Blockchain-based secure cardiovascular disease detection using cardiodeepnet and meta-heuristic optimization algorithms
Automatic epileptic EEG detection using DT-CWT-based non-linear features
Functional, structural, and phenotypic data fusion to predict developmental scores of pre-school children based on Canonical Polyadic Decomposition
Sinusoidal model-based diagnosis of the common cold from the speech signal
Effective use of prior information for high-performance embryo grading
Classification of healthy, Alzheimer and Parkinson populations with a multi-branch neural network
An image enhancement based method for improving rPPG extraction under low-light illumination
Adaptive multi-modal temporal fusion network with dynamic synergistic integration for breast cancer survival prediction
Temporal and topographic effects of longer auditory stimuli on slow oscillations during slow wave sleep
Automated detection and classification of high frequency oscillations (HFOs) in human intracereberal EEG
Advances in biological time series prediction by neural networks
Precision applied behavior analysis intervention for autism spectrum disorder using natural language processing and graph centrality
Prediction of ECG fiducial parameters from PPG signals for the analysis of cardiovascular diseases: A novel Gaussian process regression-based approach
Pixel-guided pattern alignment based Hopfield Neural Networks for generalize cancer diagnosis
An EEG-based stereoscopic research of the PSD differences in pre and post 2D&3D movies watching
Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit
Concurrent black-winged gated network with greylag goose feature selection for emotion-based stress-level prediction on IoT-based healthcare monitoring system
Improving EEG major depression disorder classification using FBSE coupled with domain adaptation method based machine learning algorithms
A robust non-contact heart rate estimation from facial video based on a non-parametric signal extraction model
Deep Learning based Vertebral Body Segmentation with Extraction of Spinal Measurements and Disorder Disease Classification
Bidirectional generative diffusion model with cascaded symmetric attention for brain connectivity-to-connectivity translation
A fusion algorithm based on composite decomposition for PET and MRI medical images
Test suite prioritization and hybrid deep model for software fault detection and localization
Utilization of fixed-time integral super twisting sliding mode controller for suppression of epileptic activity via stimulus current with DBS method
A new semantic mining approach for detecting ventricular tachycardia and ventricular fibrillation
Using artificial neural networks for anomaly detection in infrared thermography images for rapid diagnosis in an emergency care unit
A hybrid swarming computing approach to solve the biological nonlinear Leptospirosis system
Comparison between a pure functional connectivity and a mixed functional-topological model in functional connectivity. An application on parahippocampal gyrus-anterior division data
Noise spectral analysis and error estimation of continuous glucose monitors under real-life conditions of diabetes patients
A novel method for movement quality analysis of lower limb joints using surface electromyography signals and k-means clustering technique
Multiple inputs modeling of hybrid convolutional neural networks for human activity recognition
Automatic seizure detection based on Gray Level Co-occurrence Matrix of STFT imaged-EEG
An Adaptive Intelligent Polar Bear (AIPB) Optimization-Quantized Contempo Neural Network (QCNN) model for Parkinson's disease diagnosis using speech dataset
Effect of vowel context in cepstral and entropy analysis of pathological voices
Task performance-based adaptive velocity assist-as-needed control for an upper limb exoskeleton
Improved stacked ensemble with genetic algorithm for automatic ECG diagnosis of children living in high-altitude areas
Assessing hypoglycemia risk during hemodialysis using an explainable machine learning approach based on continuous glucose monitoring metrics
Calibrationless joint compressed sensing reconstruction for rapid parallel MRI
Digital twin of renal system with CT-radiography for the early diagnosis of chronic kidney diseases
A modality-wise multi-modal transfer learning and dual stream CNN-Transformer hybrid network for ACC-sEMG-based continuous estimation of finger joint angles
MS-HyFS: A novel multiscale hybrid framework with Scalable electrodes for motor imagery classification
High-precision personalized respiratory guidance model for enhanced breathing training: effects on heart rate variability
MRI-based automated diagnosis of Alzheimer's disease using Alzh-Net deep learning model
Respiratory sigh associated transient autonomic changes detected with a continuous wavelet method of heart rate variability analysis
A novel NASNet model with LIME explanability for lung disease classification
Prototype-oriented contrastive learning for semi-supervised medical image segmentation
Deep EEG feature learning via stacking common spatial pattern and support matrix machine
PRCNet: A parallel reverse convolutional attention network for colorectal polyp segmentation
An adaptive back-stepping control for blood glucose regulation in type 1 diabetes
Machine learning techniques for pulmonary nodule computer-aided diagnosis using CT images: A systematic review
Dual mode information fusion with pre-trained CNN models and transformer for video-based non-invasive anaemia detection
A classification method to classify bone marrow cells with class imbalance problem
On the existence of phase-synchronised states during motor imagery tasks
Pupil trajectory tracing from video-oculography with a new definition of pupil location
SEMG-based prediction of masticatory kinematics in rhythmic clenching movements
DMFusion: A dual-branch multi-scale feature fusion network for medical multi-modal image fusion
Automated detection of pancreatic cancer with segmentation and classification using fusion of UNET and CNN through spider monkey optimization
Saliency-guided automatic detection and segmentation of tumor in breast ultrasound images
Automatic segmentation of the cardiac MR images based on nested fully convolutional dense network with dilated convolution
A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms
Explainable artificial intelligence with fusion of feature engineering on oral disease diagnosis in dentistry using biomedical images
A deep learning outline aimed at prompt skin cancer detection utilizing gated recurrent unit networks and improved orca predation algorithm
Investigation on the effect of Womersley number, ECG and PPG features for cuff less blood pressure estimation using machine learning
Hybrid metaheuristic algorithm enhanced support vector machine for epileptic seizure detection
Multi-threshold image segmentation based on an improved differential evolution: Case study of thyroid papillary carcinoma
Study of 0.1-Hz vasomotion in microcirculation under local heating by means of imaging photoplethysmography
Accurate measurement of key structures in CBD patients using deep learning
Optimized active contor segmentation model for medical image compression
Evaluating five different adaptive decomposition methods for EEG signal seizure detection and classification
Conditional generative adversarial network driven variable-duration single-lead to 12-lead electrocardiogram reconstruction
Performance potential of classical machine learning and deep learning classifiers for isometric upper-body myoelectric control of direction in virtual reality with reduced muscle inputs
A novel PLI suppression method in ECG by notch filtering with a modulation-based detection and frequency estimation scheme
SeRL: Style-embedding representation learning for unsupervised CT images synthesis from unpaired MR images
Data programming enabled weak supervised labeling for ECG time series
SUVR quantification using attention-based 3D CNN with longitudinal Florbetapir PET images in Alzheimer's disease
Thyroid disease diagnosis based on feature interpolation Interaction and dynamic assignment Stacking model
Denoising of ECG signals based on noise reduction algorithms in EMD and wavelet domains
A novel Gray-Scale spatial exploitation learning Net for COVID-19 by crawling Internet resources
Performance evaluation of multi-channel electroencephalogram signal (EEG) based time frequency analysis for human emotion recognition
Accurate classification of depression through optimized machine learning models on high-dimensional noisy data
Noise reduction in speech signal of Parkinson's Disease (PD) patients using optimal variable stage cascaded adaptive filter configuration
Video-based human heart rate measurement using joint blind source separation
Multiscale Poincaré plot analysis of time series from laser speckle contrast imaging data
RMMLP:Rolling MLP and matrix decomposition for skin lesion segmentation
Trends in biomedical signal feature extraction
Acoustic analysis of voice signal: Comparison of four applications software
Medical image fusion using discrete fractional wavelet transform
Segmentation of skin lesion using superpixel guided generative adversarial network with dual-stream patch-based discriminators
Prognostic staging of esophageal cancer based on prognosis index and cuckoo search algorithm-support vector machine
Navigating challenges in mitosis detection: A Difficulty-Aware Learning Paradigm
In-phase matrix profile: A novel method for the detection of major depressive disorder
A novel approach for semi-quantitative assessment of reliability of blood flow values in DCE-CT perfusion
DRCAM: Dose Reduction via Contrast Amplification Modeling for brain contrast-enhanced magnetic resonance images
Unveiling human eye temperature with deep learning-powered segmentation
MMS-SleepNet: A knowledge-based multimodal and multiscale network for sleep staging
Intra-modality masked image modeling: A self-supervised pre-training method for brain tumor segmentation
QT interval time lag in response to heart rate changes during stress test for Coronary Artery Disease diagnosis
Unsupervised learning method via triple reconstruction for the classification of ultrasound breast lesions
T-MPEDNet: Unveiling the Synergy of Transformer-aware Multiscale Progressive Encoder-Decoder Network with Feature Recalibration for Tumor and Liver Segmentation
Kalman-based compartmental estimation for covid-19 pandemic using advanced epidemic model
Multi-scale AM-FM analysis for the classification of surface electromyographic signals
Motion estimation of elbow joint from sEMG using continuous wavelet transform and back propagation neural networks
A novel feature extraction method based on TQWT and instantaneous energy variation for Parkinson's disease detection
A novel hybrid kernel function relevance vector machine for multi-task motor imagery EEG classification
An objective approach to identifying individual atrial fibrillation triggers: A simulation study
On the harmonic-to-noise ratio as an acoustic cue of vocal timbre of Parkinson speakers
An evidence accumulation based block diagonal cluster model for intent recognition from EEG
Attention-guided model for mitral regurgitation analysis based on multi-task learning
Tibial nerve somatosensory evoked response detection using uni and multivariate coherence
CMNet: Cascaded context fusion and multi-attention network for multiple lesion segmentation of diabetic retinopathy images
A recurrent convolutional neural network approach for sensorless force estimation in robotic surgery
Sperm morphology analysis by using the fusion of two-stage fine-tuned deep networks
Efficient adaptive enhanced adaboost based detection of spinal abnormalities by Machine learning approaches
Increasing the accuracy in the diagnosis of stomach cancer based on color and lint features of tongue
A pipeline methodology for melanoma detection using Developed design of the Archimedes optimizer
Healthcare diagnostics with an adaptive deep learning model integrated with the Internet of medical Things (IoMT) for predicting heart disease
Personality analysis based on multi-characteristic EEG signals
Application of an EMG interference filtering method to dynamic ECGs based on an adaptive wavelet-Wiener filter and adaptive moving average filter
Periodontal bone loss detection based on hybrid deep learning and machine learning models with a user-friendly application
CT and MRI image fusion algorithm based on hybrid ℓ0ℓ1 layer decomposing and two-dimensional variation transform
Deep BiLSTM neural network model for emotion detection using cross-dataset approach
Human knee abnormality detection from imbalanced sEMG data
Artificial intelligence-based multiclass diabetes risk stratification for big data embedded with explainability: From machine learning to attention models
A predictive model of shear thrombus growth for the coronary arteries using integrated numerical simulation and artificial intelligence
An attention-guided multi-scale fusion network for surgical instrument segmentation
Heart rate variability analysis during hypnosis using wavelet transformation
Machine learning with ensemble stacking model for automated sleep staging using dual-channel EEG signal
Spectral feature extraction using the UFIR iterative smoother algorithm for ECG signal classification
A multi model ensemble based deep convolution neural network structure for detection of COVID19
Comparing the performance of classic voice-driven assistive systems for dysarthric speech
Multiscale multidimensional recurrence quantitative analysis for analysing MEG signals in patients with schizophrenia
A DCNN system based on an iterative method for automatic landmark detection in cephalometric X-ray images
Analysis and classification of heart rate using CatBoost feature ranking model
Modified binary salp swarm algorithm in EEG signal classification for epilepsy seizure detection
A skewness reformed complex diffusion based unsharp masking for the restoration and enhancement of Poisson noise corrupted mammograms
Hilbert-envelope features for cardiac disease classification from noisy phonocardiograms
Investigating convolutional and transformer-based models for classifying Mild Cognitive Impairment using 2D spectral images of resting-state EEG
Wireless capsule endoscopy anomaly classification via dynamic multi-task learning
Analysis of localized bioimpedance from healthy young adults during activities of the vocal folds using Cole-impedance model representation
Cardiovascular disease detection based on deep learning and multi-modal data fusion
A hybrid approach of neural networks for age and gender classification through decision fusion
Gradient-based edge detection with skeletonization (GES) segmentation for magnetic resonance optic nerve images
A novel model to optimize multiple imputation algorithm for missing data using evolution methods
A comparative study of time-frequency features based spatio-temporal analysis with varying multiscale kernels for emotion recognition from EEG
Spider-Net: High-resolution multi-scale attention network with full-attention decoder for tumor segmentation in kidney, liver and pancreas
Weakly supervised glottis segmentation on endoscopic images with point supervision
Multi-sensory assessment for hand pattern recognition
A convolutional neural network based system for detection of actinic keratosis in clinical images of cutaneous field cancerization
Integrating a novel SRCRN network for segmentation with representative batch-mode experiments for detecting melanoma
A two-stage framework for denoising electrooculography signals
A signal prediction-based method for motor imagery EEG classification
Subject independent emotion recognition using EEG signals employing attention driven neural networks
AR based quadratic feature extraction in the VMD domain for the automated seizure detection of EEG using random forest classifier
Single Electrode Energy on Clinical Brain-Computer Interface Challenge
EATNet: An extensive attention-based approach for cervical precancerous lesions diagnosis in histopathological images
Accurate estimation of information transfer rate based on symbol occurrence probability in brain-computer interfaces
ADHD detection using dynamic connectivity patterns of EEG data and ConvLSTM with attention framework
Comparison of classification techniques for the control of EOG-based HCIs
Adversarial learning network for recovering rPPG signals from low-resolution images for remote heart rate measurement
Evi-SSUNet: A multi-task network for reliable surgical scene understanding in X-ray images
Pre-movement pattern decoding from motor evoked potentials for reducing interaction delay
A prototypical network for few-shot recognition of speech imagery data
Analysis of drivers' mental workload in V-shaped undersea tunnels based on heart rate variability
A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration
Pseudo-colored rate map representation for speech emotion recognition
Discrete learning-based intelligent methodology for heart disease diagnosis
Performance evaluation of deep learning algorithms in MRI breast lesion segmentation and detection
Deep discriminative learning model with calibrated attention map for the automated diagnosis of diffuse large B-cell lymphoma
Arrhythmia detection based on multi-scale fusion of hybrid deep models from single lead ECG recordings: A multicenter dataset study
Retinal image registration using log-polar transform and robust description of bifurcation points
Estimating brain periodic sources activities in steady-state visual evoked potential using local fourier independent component analysis
Depression detection in read and spontaneous speech: A Multimodal approach for lesser-resourced languages
A novel fusion strategy for locomotion activity recognition based on multimodal signals
Simultaneous estimation of grip force and wrist angles by surface electromyography and acceleration signals
FedROS-RandNN: A lightweight online Federated Learning framework for glycemic forecasting using Randomized Neural Networks
Regularised differentiation of measurement data in systems for monitoring of human movements
Classification of young healthy individuals with different exercise levels based on multiple musculoskeletal ultrasound images
Nearly-lossless-to-lossy medical image compression by the optimized JPEGXT and JPEG algorithms through the anatomical regions of interest
Continuous fascicle orientation measurement of medial gastrocnemius muscle in ultrasonography using frequency domain Radon transform
MedMamba: Multi-scale deformable attention via state space models for robust medical image segmentation