yusuke1997/dblp-id-title huggingface dataset:
MSAR-Net: A multi-scale attention residual network for medical image segmentation
Enhancing poorly differentiated lung cancer classification with rotary position embedding and sparse attention in multiple instance learning
ETMO-NAS: An efficient two-step multimodal one-shot NAS for lung nodules classification
Characterizing EEG signals of meditative states using persistent homology and Hodge spectral entropy
An efficient hybrid optimization algorithm for detecting heart disease using adaptive stacked residual convolutional neural networks
CNAC-Seg: Effective segmentation for cervical nuclei in adherent cells and clusters via exploring gaps of receptive fields
QDCNN-DMN: A hybrid deep learning approach for brain tumor classification using MRI images
Localization of epileptic focus by gray matter reduction analysis from brain MR images for temporal lobe epilepsy patients
Enhancing brain tumor classification with a novel attention based explainable deep learning framework
Class-driven content-based medical image retrieval using hash codes of deep features
LAMFFNet: Lightweight Adaptive Multi-layer Feature Fusion network for medical image segmentation
Very fast digital 2D rigid motion estimation directly on continuous k-space data using an RNN
MedPrompt: LLM-CNN Fusion with Weight Routing for Medical Image Segmentation and Classification
Nonlocal linear minimum mean square error methods for denoising MRI
Phase slope transfer entropy analysis of EEG in patients with Parkinson's disease
Radiomic feature selection for response prediction of cancer treatment using sparse rank revealing QR factorization and adaptive graph: locally advanced breast cancer and head & neck cancer studies
Classification of seizure types based on multi-class specific bands common spatial pattern and penalized ensemble model
Advanced explainable AI-driven biomarker identification for early breast cancer detection using peripheral blood mononuclear cells: Insights into prognostic biomarkers
Feature extraction for abnormality detection in capsule endoscopy images
Modified algorithm to enhance illumination and detail in colour retinal images using the CLAHE technique with a Wiener filter
Localization of epileptic surgical area using automated hybrid approach based on higher-order statistics with sensitivity analysis and residual wavelet transform
Glottal Source Analysis of Voice Deficits in Newly Diagnosed Drug-naïve Patients with Parkinson's Disease: Correlation Between Acoustic Speech Characteristics and Non-Speech Motor Performance
A modified approach to objective surface generation within the Gauss-Newton parameter identification to ignore outlier data points
BiSS-Net: Bi-scope contextual state-space learning for automated Cobb angle measurement in full-body X-rays
An efficient voice pathology classification scheme based on applying multi-layer linear discriminant analysis to wavelet packet-based features
Cataract detection and visualization based on multi-scale deep features by RINet tuned with cyclic learning rate hyperparameter
A novel deep learning model for STN localization from LFPs in Parkinson's disease
Multi-dimensional input-based Adaptive Residual DenseNet with Attention Mechanism for patient emotion recognition from multi-modal data
Predicting freezing of gait in patients with Parkinson's disease by combination of Manually-Selected and deep learning features
Emotion recognition by distinguishing appropriate EEG segments based on random matrix theory
Bioelectrical impedance analysis of thermal-induced cutaneous nociception
Detection of arrhythmia from electrocardiogram signals using a novel gaussian assisted signal smoothing and pattern recognition
MTMC-AUR2CNet: Multi-textural multi-class attention recurrent residual convolutional neural network for COVID-19 classification using chest X-ray images
Enhancing semi-supervised medical image segmentation with boundary awareness and Competitive Contrastive Learning
Automated breast cancer classification using a hybrid deep learning framework with attention-integrated EfficientNet
Cluster analysis of CCA coefficients for robust detection of the asynchronous SSVEPs in brain-computer interfaces
A refined ResNet18 architecture with Swish activation function for Diabetic Retinopathy classification
A coupled diffusion approximation for spatiotemporal hemodynamic response and deoxygenated blood volume fraction in microcirculation
Cross-correlation as an alternative for Local Activation Times for the analysis of reentries in Directed Graph Mapping
Malignant ventricular arrhythmias prediction based on cardiorespiratory signals analysis and machine learning approach
Automatic recognition of coronary artery disease and congestive heart failure using a multi-granularity cascaded hybrid network
Impact of sampling frequency and signal quantization on myoelectric-based hand gesture recognition
Beat-to-beat heartbeat detection based on fuzzy weighted fusion in ballistocardiograms
A hybrid noise robust model for multireplay attack detection in Automatic speaker verification systems
Gene regulatory network inference from gene expression data based on knowledge matrix and improved rotation forest
STL Net: A spatio-temporal multi-task learning network for Autism spectrum disorder identification
Restoring prolonged standing via functional electrical stimulation after spinal cord injury: A systematic review of control strategies
Comparative study of EEG motor imagery classification based on DSCNN and ELM
Subject-specific CNN model with parameter-based transfer learning for SSVEP detection
S3AR U-Net: A separable squeezed similarity attention-gated residual U-Net for glottis segmentation
Dual phase hierarchical brain tumour detection and segmentation using unet based skip guidance residual convolutional transformer
Motor imagery EEG task recognition using a nonlinear Granger causality feature extraction and an improved Salp swarm feature selection
A novel supervisory control scheme to tackle variations in step length for walking with powered ankle prosthesis
Effects of noise and filtering strategies on the extraction of pulse rate variability from photoplethysmograms
T-VesselNet and GEMFNet: A transformer-based multi-scale fusion framework with graph enhancements for accurate and efficient retinal disease classification
Multi-centroid diastolic duration distribution based HSMM for heart sound segmentation
Reference free auscultation quality metric and its trends
The METINUS Plus method for nuclei quantification in tissue microarrays of breast cancer and axillary node tissue section
Characterisation of upper airway obstructions using wide-band snoring sounds
Investigation of dual-band antenna with low-SAR characteristics for bidirectional brain-machine interface applications
OSA-STNet: An automatic sleep staging model for OSA based on spatio-temporal collaborative information extraction
Cumulative effects of theta binaural beats on brain power and functional connectivity
Compressed sensing ECG using restricted Boltzmann machines
TCA-Net: Liver tumor segmentation based on a new contextual feature encoding module and attention mechanism
DRFnet: Deep registration based multi-atlas label fusion network for subcortical segmentation
Classification and analysis of epileptic EEG recordings using convolutional neural network and class activation mapping
Weakly-supervised deep learning model for prostate cancer diagnosis and Gleason grading of histopathology images
A new reconstruction algorithm based on ordered projection subset and divided pixel subset
Multimodal therapy for complete regression of malignant melanoma using constrained nonlinear optimal dynamic inversion
Advanced classification of ambulatory activities using spectral density distances and heart rate
VisionNet: An efficient vision transformer-based hybrid adaptive networks for eye cancer detection with enhanced cheetah optimizer
Current state of digital signal processing in myoelectric interfaces and related applications
Development of an enhanced U-Net model for brain tumor segmentation with optimized architecture
Anterior chamber angle classification in anterior segment optical coherence tomography images using hybrid attention based pyramidal convolutional network
Optimal Ensemble learning model for COVID-19 detection using chest X-ray images
Post-processing speech recordings during MRI
An approach for automated acute cerebral ischemic stroke lesion segmentation and correlation of significant features with modified Rankin Scale
Advancing colorectal cancer Diagnostics: Adapting NasNet-Mobile with an Adapted Water Cycle Algorithm
A novel hybrid ensemble based Alzheimer's identification system using deep learning technique
An interpretable MRI reconstruction network with two-grid-cycle correction and geometric prior distillation
DualCheXNet: dual asymmetric feature learning for thoracic disease classification in chest X-rays
Automatic detection of epileptic seizure events using the time-frequency features and machine learning
Research on fatigue driving detection using forehead EEG based on adaptive multi-scale entropy
Dynamic model scaling based on segmented tumor size for breast cancer detection
Diabetic retinopathy lesion segmentation using deep multi-scale framework
Dynamic-Pix2Pix: Medical image segmentation by injecting noise to cGAN for modeling input and target domain joint distributions with limited training data
Unveiling the alterations in the frequency-dependent connectivity structure of MEG signals in mild cognitive impairment and Alzheimer's disease
Integration of a knowledge-based constraint into generative models with applications in semi-automatic segmentation of liver tumors
A 2.5D multi-path fusion network framework with focusing on z-axis 3D joint for medical image segmentation
Cross-modal challenging: Projection of brain response on stereoscopic image quality ranking
DFAN: Dual Frequency-Aware Network for 3D MRI volume super-resolution
DFENet: A dual-branch feature enhanced network integrating transformers and convolutional feature learning for multimodal medical image fusion
Efficient multichannel EEG compression by optimal tensor truncation
EEG signal biometric extraction to predict stroke severity
A classification framework for Autism Spectrum Disorder detection using sMRI: Optimizer based ensemble of deep convolution neural network with on-the-fly data augmentation
Removal of EOG artifacts from single channel EEG - An efficient model combining overlap segmented ASSA and ANC
An automatic teeth arrangement method based on an intelligent optimization algorithm and the Frenet-Serret formula
A noise prediction method for paper-based grayscale ECG denoising
Human fluorescent profile of urine as a simple tool of mining in data from autofluorescence spectroscopy
Periodicity-based nonlocal-means denoising method for electrocardiography in low SNR non-white noisy conditions
Row-sparse blind compressed sensing for reconstructing multi-channel EEG signals
Phonation threshold pressure at large asymmetries of the vocal folds
A generalized depression recognition framework based on cross-center and cross-task EEG signals
BCI oriented EEG analysis using log energy entropy of wavelet packets
Subjects self-select forearm gestures identification based on post-processing and integrating sEMG sensors and AS
EEG based epileptiform pattern recognition inside and outside the seizure states
EL-CNN: An enhanced lightweight classification method for colorectal cancer histopathological images
Clinical knowledge integrated multi-task learning network for breast tumor segmentation and pathological complete response prediction
Spatial interpretability of time-frequency relevance optimized in motor imagery discrimination using Deep&Wide networks
GCN-LSTM: A hybrid graph convolutional network model for schizophrenia classification
Dual Branch Network Based on Multi-Directional Feature Cross Fusion for Carotid Plaque and Vessel Co-Segmentation
FBSA-CNN: A convolutional neural network framework for EEG-based detection of non-acute methamphetamine use disorders
Reproducible and generalizable speech emotion recognition via an Intelligent Fusion Network
A three-layer decomposition method based on structural texture perception for fusion of CT and MRI images
An integrated machine learning approach for spasticity assessment combining passive and active movements
Using mutual information in supervised temporal event detection: Application to cough detection
Computational intelligence for emotion recognition in autism spectrum disorder: a systematic review of signal-based modeling, simulation, and clinical potential
Pathological image classification via embedded fusion mutual learning
Deep Learning Approach to Cardiovascular Disease Classification Employing Modified ECG Signal from Empirical Mode Decomposition
Windowed axial shuffle attention networks for medical image segmentation
A hierarchical attention-based multimodal fusion framework for predicting the progression of Alzheimer's disease
EEG signal classification based on improved variational mode decomposition and deep forest
White patchy skin lesion classification using feature enhancement and interaction transformer module
Dual-task physiological learning for radar-based continuous blood pressure monitoring: classification-regularized regression
WKPNet: A novel wavelet-KAN-POLA network for medical image segmentation
Model-based prediction of the individual training intensity for the lower back muscles with application to physical rehabilitation
Time domain implementation of pediatric epileptic seizure detection system for enhancing the performance of detection and easy monitoring of pediatric patients
Enhanced spatial-temporal learning network for dynamic facial expression recognition
Study on the variation of gait parameters associated with different slip probabilities during turn walking for individuals with flat feet
Joint Singular Spectrum Analysis and Generalized Moreau Envelope Total Variation for motion artifact removal from single channel EEG signals
Brain tumour segmentation and classification with reconstructed MRI using DCGAN
Efficient ROI-based compression of mammography images
A new personalized ECG signal classification algorithm using Block-based Neural Network and Particle Swarm Optimization
DRL-ECG-HF: Deep reinforcement learning for enhanced automated diagnosis of heart failure with imbalanced ECG data
Addressing intra-subject variability in electrocardiogram-based biometric systems through a hybrid architecture
Decoding human brain activity with deep learning
Thin vessel segmentation in fundus images using attention UNet and modified Frangi filtering
Estimating the true respiratory mechanics during asynchronous pressure controlled ventilation
LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
Dual-domain MIM based contrastive learning for CAD of developmental dysplasia of the hip with ultrasound images
A novel deep wavelet convolutional neural network for actual ECG signal denoising
Graph attention networks meet transformers: A synergistic approach for multimodal stress recognition from physiological signals
Style transformation and distance map guided nucleus instance segmentation via multi task learning
Paralleformer: An efficient parallel Transformer algorithm for pathological images classification of chondroblastoma and giant cell tumor of bone
Multi-Level severity classification for diabetic retinopathy based on hybrid optimization enabled deep learning
Multi-task coordinate attention gating network for speech emotion recognition under noisy circumstances
Discrimination of different myocardial infarction stages using wide band electrocardiogram
Elucidating the novel framework of liver tumour segmentation and classification using improved Optimization-assisted EfficientNet B7 learning model
Diffusion probabilistic multi-cue level set for reducing edge uncertainty in pancreas segmentation
Deep reinforcement learning architectures for automatic organ segmentation
Myelodysplastic syndrome risk assessment using priority linked correlated feature set using ResNet50
Multi-level hierarchical prototype for few-shot medical image segmentation
A segmentation-informed deep learning framework to register dynamic two-dimensional magnetic resonance images of the vocal tract during speech
Advances in biomedical signal processing for communication disorders
Deep learning based coronary artery disease detection and segmentation using ultrasound imaging with adaptive gated SCNN models
Deep Convolutional Spiking Neural Network optimized with Arithmetic optimization algorithm for lung disease detection using chest X-ray images
Multigroup recognition of dementia patients with dynamic brain connectivity under multimodal cortex parcellation
VR-based approach for MCI assessment system using fNIRS and graph convolutional network
Automatic and tunable algorithm for EEG artifact removal using wavelet decomposition with applications in predictive modeling during auditory tasks
Oral cancer detection using feature-level fusion and novel self-attention mechanisms
A review of the key technologies for sEMG-based human-robot interaction systems
New approaches for rapid setpoint determination and uninterrupted tracking in non-invasive continuous blood pressure monitoring based on volume-clamp method
A deep learning based 2-dimensional hip pressure signals analysis method for sitting posture recognition
The recognition of grasping force using LDA
Quantification of spinal deformities using combined SCP and geometric 3D reconstruction
A graph-based spine segmentation method: Combining target detection with unsupervised segmentation
Automatic boundary detection and severity assessment of mitral regurgitation
Lung image quality assessment and diagnosis using generative autoencoders in unsupervised ensemble learning
Deep learning for preoperative prediction of the EGFR mutation and subtypes based on the MRI image of spinal metastasis from primary NSCLC
A wearable electromyography armband for gesture recognition
Automatic glottis segmentation for laryngeal endoscopic images based on U-Net
Deep belief network Assisted quadratic logit boost classifier for brain tumor detection using MR images
Benign-malignant classification of pulmonary nodule with deep feature optimization framework
Robust H∞ control of T-S fuzzy blood glucose regulation system via adaptive event-triggered scheme
Deep learning based torsional nystagmus detection for dizziness and vertigo diagnosis
An appraisal of nodules detection techniques for lung cancer in CT images
Atrial fibrillation classification and detection from ECG recordings
Cognitive investigation on the effect of augmented reality-based reading on emotion classification performance: A new dataset
Continuous wavelet filtering on webcam photoplethysmographic signals to remotely assess the instantaneous heart rate
A novel approach for early gastric cancer detection using a hybrid of alexnet, extreme learning machine, and adjusted gorilla troops optimization
A shock advisory algorithm based on hybrid network for ECG disturbed by cardiopulmonary resuscitation
Optimal regeneration and repair of critical size articular cartilage driven by endogenous CLECSF1
Synthesis of Convolutional Neural Network architectures for biomedical image classification
An algorithm for online detection of temporal changes in operator cognitive state using real-time psychophysiological data
Sliding window averaging for the extraction of representative waveforms from motor unit action potential trains
Wavelet-based multifractal analysis of C.elegans sequences based on FCGS signal
Independent component analysis of Raman spectra: Application on paraffin-embedded skin biopsies
Emotion recognition based on EEG signals and face images
One-dimensional convolutional neural network architecture for classification of mental tasks from electroencephalogram
A series of exponential function, as a novel methodology in detecting brain tumor
SeizureLSTM: An optimal attention-based trans-LSTM network for epileptic seizure detection using optimal weighted feature integration
Anthropometric Vision System for measuring the Windlass mechanism during the gait cycle
DieleNet: Dielectric properties based breast cancer classification using deep learning
Automatic slice selection and diagnosis of breast ultrasound image using deep learning
Detection of extra pulses in synthesized glottal area waveforms of dysphonic voices
Effective shapes of tDCS electrodes in stroke patients: A modeling study
Fuzzy adaptive neurofeedback training: An efficient neurofeedback training procedure providing a more accurate progress rate for trainee
Structural semantic enhancement network for low-dose CT denoising
Prediction of echocardiographic parameters in Chagas disease using heart rate variability and machine learning
Denoising of magnetic resonance images of brain tumor using BT-Autonet
Quantitative evaluation of segmentation accuracy of subsegmental infarcts using 2DSTE and synthetic ultrasonic data in a spheroidal model of the left ventricle
Segmentation of overlapping Cryptosporidium and Giardia (oo)cysts using bidirectional contour tracing
Comparison of Mueller matrix differential decomposition and transformation
Deep end-to-end transfer learning for robust inter-subject and inter-day hand gesture recognition using surface EMG
Real-time fall detection with ground height awareness using LiDAR and a camera of a mobile device
Corrigendum to "Unified approach for accurate brain tumor Multi-Classification and segmentation through fusion of advanced methodologies". [Biomed. Signal Process. Contr. 100, Part A (2025) 106872. DoI: https://doi.org/10.1016/j.bspc.2024.106872]
Deformable registration network based on multi-scale features and cumulative optimization for medical image alignment
Learning contextual representations with copula function for medical image segmentation
LMAF-Net: a lightweight multi-scale attention fusion network for retinal vessel segmentation
Algorithmic detection of the beginning and end of bipolar electrograms: Implications for novel methods to assess local activation time during atrial tachycardia
Efficient contact-based registration for minimally invasive anterior hip arthroplasty
Enhancing speech emotion recognition with the Improved Weighted Average Support Vector method
EGDN-KL: Dynamic graph-deviation network for EEG anomaly detection
Automatic pharynx and larynx cancer segmentation framework (PLCSF) on contrast enhanced MR images
Discrete neighborhood difference pattern-based feature extraction and hybrid deep learning model for melanoma skin cancer detection
On-mask sensor network for lung disease monitoring
The multimodal MRI brain tumor segmentation based on AD-Net
Detection of ventricular tachycardia and fibrillation using adaptive variational mode decomposition and boosted-CART classifier
Premature ventricular contraction analysis for real-time patient monitoring
FPGA-based communication interface for persons with motor neuron diseases
The FNS-based analysis of precursors and cross-correlations in EEG signal related to an imaginary motor task
Mathematical modeling and simulation of atherosclerotic formation and progress at arterial bifurcations
Meal-time and duration monitoring using wearable sensors
Development of a new method M2LC for few-slice-annotated MRI image segmentation and validation of its performance on multiple datasets
MCM-UNet: Mamba convolutional mixing network for skin lesion image segmentation
Hybrid CNN-LSTM and modified wild horse herd Model-based prediction of genome sequences for genetic disorders
Brain power mapping with optimized deep learning for EEG-based pilot fatigue detection
Exploiting Level 1 and Level 3 features of fingerprints for liveness detection
On the design of automatic voice condition analysis systems. Part III: review of acoustic modelling strategies
Alzheimer's disease detection through wavelet-based shifted elliptical local binary pattern
Opacity specification based on visibility ratio and occlusion vector in direct volume rendering
Multi-scale contextual information enhancement network based on multi-level feature similarity fusion for improved mammogram classification