yusuke1997/dblp-id-title huggingface dataset:
A self-attention based faster R-CNN for polyp detection from colonoscopy images
Classification of histopathological whole slide images based on multiple weighted semi-supervised domain adaptation
Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels
Mouse emulation based on facial electromyogram
Control of neuromuscular blockade with Gaussian process models
COVID-19 diagnosis with Deep Learning: Adjacent-pooling CTScan-COVID-19 Classifier Based on ResNet and CBAM
EEG signal enhancement using cascaded S-Golay filter
Nocturnal low glucose detection in healthy elderly from one-lead ECG using convolutional denoising autoencoders
Cancer omic data based explainable AI drug recommendation inference: A traceability perspective for explainability
Deep learning-based computer-aided diagnostic system for lumbar degenerative diseases classification using MRI
A pathology image segmentation framework based on deblurring and region proxy in medical decision-making system
Multi-relational mixed perception based short time series prediction of Alzheimer's disease progression
New geometrically invariant multiple zero-watermarking algorithm for color medical images
A continuously coupled attention neural network for MSI status classification in whole slide images
An IoT enabled secured clinical health care framework for diagnosis of heart diseases
DDBTC approach with binary particle swarm optimization for greedy-DCNN based CBIR system
ALR-Mamba: Adaptive long-span region Mamba for hormone receptor status prediction of breast cancer
Brain tumor classification utilizing deep features derived from high-quality regions in MRI images
Gastric cancer detection using a hybrid version of gated recurrent unit network and adjusted tyrannosaurus optimization algorithm
2.5D lightweight RIU-Net for automatic liver and tumor segmentation from CT
Nonlinear directed information flow estimation for fNIRS brain network analysis based on the modified multivariate transfer entropy
Identification lymph node metastasis in esophageal squamous cell carcinoma using whole slide images and a hybrid network of multiple instance and transfer learning
Segmentation domain adaptation for enhanced white blood cell classification using spatial co-occurrence feature embedding
Electroencephalographic cross-frequency coupling and multiplex brain network under manual acupuncture stimulation
Efficient Parkinson's disease classification from dynamic foot pressure data: A combined approach of clustering and feature selection
FVCM-Net: Interpretable privacy-preserved attention driven lung cancer detection from CT scan images with explainable HiRes-CAM attribution map and ensemble learning
Holographic convolutional attention neural network for motor imagery decoding based on EEG temporal-spatial frequency features
A novel hybrid deep CNN model for breast cancer classification using Lipschitz-based image augmentation and recursive feature elimination
Simultaneous and proportional control of wrist and finger force via motor unit activity
Blood pressure estimation from appropriate and inappropriate PPG signals using A whole-based method
EFDFNet: A multimodal deep fusion network based on feature disentanglement for attention state classification
Are armband sEMG devices dense enough for long-term use? - Sensor placement shifts cause significant reduction in recognition accuracy
Detection, localization, segmentation, and classification in colorectal cancer screening using deep learning: A systematic review
Automated and precise recognition of human zygote cytoplasm: A robust image-segmentation system based on a convolutional neural network
Cervical spine fracture detection utilizing YOLOv8 and deep attention-based vertebrae classification ensuring XAI
Combined modulatory effects of excitatory interneurons and pre- and post-feedback inhibition microcircuits on absence seizures
Automatic image segmentation of nuclear stained breast tissue sections using color active contour model and an improved watershed method
Multi-lead ECG signal analysis for myocardial infarction detection and localization through the mapping of Grassmannian and Euclidean features into a common Hilbert space
MS-FTSCNN: An EEG emotion recognition method from the combination of multi-domain features
Comparison of brain effective connectivity in different states of attention and consciousness based on EEG signals
Kullback-Leibler distance and graph cuts based active contour model for local segmentation
Novel architecture with selected feature vector for effective classification of mitotic and non-mitotic cells in breast cancer histology images
Data fitting for the neural mass model using Unscented Kalman Filters
Wavelet threshold based TDL and TDR algorithms for real-time ECG signal compression
Mandible-YOLO: The fracture region is detected only once
A hybrid DenseNet121-UNet model for brain tumor segmentation from MR Images
A medical report generation method based on local visual modeling and image-text co-enhancement
Patient-specific seizure detection in long-term EEG using wavelet decomposition
MSGAT: Multi-scale gated axial reverse attention transformer network for medical image segmentation
Multi-modal physiological signals based fear of heights analysis in virtual reality scenes
Improving heart rate variability information consistency in Doppler cardiogram using signal reconstruction system with deep learning for Contact-free heartbeat monitoring
Hybrid BCI robotic arm control system based on MI and SSVEP
A novel convolutional neural network structure for differential diagnosis of wide QRS complex tachycardia
Automated diagnosis of Retinopathy of prematurity from retinal images of preterm infants using hybrid deep learning techniques
Robust correlation technology for online monitoring of changes in the state of the heart by means of laptops and smartphones
TANet: Triple Attention Network for medical image segmentation
Impact of respiration on cardiovascular coupling using Granger causality analysis in healthy subjects
Time series signal forecasting using artificial neural networks: An application on ECG signal
IDTL-rPPG: Remote heart rate estimation using instance-based deep transfer learning
A computerized assessment tool for the upper extremities motor performance in individuals with Parkinson's disease
Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data
Identification of disease related biomarkers in time varying 'Omic data: A non-negative matrix factorization aided multi level self organizing map based approach
A monitoring method of freezing of gait based on multimodal fusion
Identification of non-small-cell lung cancer subtypes by unsupervised clustering of CT image features with distinct prognoses and gene pathway activities
Domain adaptation for epileptic EEG classification using adversarial learning and Riemannian manifold
Audio texture and age-wise analysis of disordered speech in children having specific language impairment
Multi Path Heterogeneous Neural Networks: Novel comprehensive classification method of facial nerve function
Spectral separation of evoked and spontaneous cortical activity, Part 2: Somatosensory high frequency oscillations
TPCP-Net: An efficient information enhancement network with a parameter quantity below 1M for Polyp segmentation
Design of model reference adaptive-PID controller for automated portable duodopa pump in Parkinson's disease patients
An alternative EMG normalization method: Heterogeneous recurrence quantification analysis of isometric maximum voluntary contraction movements
A deep learning study on osteosarcoma detection from histological images
Robust semantic segmentation of retinal fluids from SD-OCT images using FAM-U-Net
Research on the real-time control system of lower-limb gait movement based on motor imagery and central pattern generator
Evaluating the event-related potentials relevant to two groups of the Quran memorizers and non-memorizers during the retrieval phase of the visual memory
Hybrid optimized deep fuzzy clustering-based segmentation and Deep Maxout Network for Alzheimer's disease classification
Improved transformation of morphometric measurements for a priori parameter estimation in a physiologically-based pharmacokinetic model of ethanol
Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images
Co-registration method of wearable magnetocardiography system and CT
Rehabilitation bridge: Detecting the absence of bone wall in temporal CT via the supervision of a few abnormal examples
Enhanced use practices in SSVEP-based BCIs using an analytical approach of canonical correlation analysis
A feature aggregation and feature fusion network for retinal vessel segmentation
New accurate deep learning model for Diabetic Retinopathy detection utilizing sequential pre-processing and transfer learning
Novel FBP based sparse-view CT reconstruction scheme using self-shaping spatial filter based morphological operations and scaled reprojections
Novel prediction model on OSCC histopathological images via deep transfer learning combined with Grad-CAM interpretation
EEGSNet: A novel EEG cognitive recognition model using spiking neural network
High-frequency SSVEP-BCI system for detecting intermodulation frequency components using task-discriminant component analysis
Convolutional masked encoder and contrastive learning for small-scale medical language-image pre-training
Grid-tuned ensemble models for 2D spectrogram-based autism classification
Evaluation of alcohol intoxication and withdrawal syndromes based on analysis of tremor signals
T-wave width as an index for quantification of ventricular repolarization dispersion: Evaluation in an isolated rabbit heart model
Adaptive noise-aware denoising network: Effective denoising for CT images with varying noise intensity
Stochastic model for enhanced PET image reconstruction
Delineation of malignant skin tumors by hyperspectral imaging using diffusion maps dimensionality reduction
Segmentation outperforms registration in quantitative analysis of brain iron
FDADE: Flow direction algorithm with differential evolution for measurement of intima-media thickness of the carotid artery in ultrasound images
Visualization of blood vessels in in vitro raw speckle images using an energy-based on DWT coefficients
A reliable breast cancer diagnosis approach using an optimized deep learning and conformal prediction
The effect of arm position on classification of hand gestures with intramuscular EMG
dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI
Selection of insole pressure sensors for ground reaction force estimation through studying principal component analysis
YOLOSkin: A fusion framework for improved skin cancer diagnosis using YOLO detectors on Nvidia Jetson Nano
Multi-Affinity network integration based on multi-omics data for tumor stratification
Combining the neural mass model and Hodgkin-Huxley formalism: Neuronal dynamics modelling
ROMP-DCP: Dictionary learning via regularized orthogonal matching pursuit and difference of convex programming for robust fluorescence molecular tomography
A classification method for EEG motor imagery signals based on parallel convolutional neural network
SDHM2T: A scale direction heteroid micro to macro transition network for retinal vessel segmentation
Comparison of analysis methods for determination of dynamic tissue conductivity during microseconds-long pulsed electric fields
Training samples-optimizing based dictionary learning algorithm for MR sparse superresolution reconstruction
Personalized lifestyle recommendations for improved diabetes management leveraging machine learning
A multi-modal ensemble framework for breast cancer segmentation and classification using genetic U-Net and HBoost
Automated diagnosis of epileptic EEG using entropies
Automatic diagnosis of cardiac arrhythmias based on three stage feature fusion and classification model using DWT
Exploring quantile graphs: A novel approach for classifying Parkinson's disease-related events during the TUG test
Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI system
EAswin-unet: Segmenting CT images of COVID-19 with edge-fusion attention
Nonnegative block-sparse Bayesian learning algorithm for EEG brain source localization
Motion-robust anterior-posterior imaging ballistocardiography for non-contact heart rate measurements
DSCA-Net: Double-stage Codec Attention Network for automatic nuclear segmentation
Nonlinear analyses applied in cerebral autoregulation and blood flow changes in patients with acute intracerebral hemorrhage
An optimized bidirectional vision transformer based colorectal cancer detection using histopathological images
Cognitive assistant DeepNet model for detection of cardiac arrhythmia
Automated brain disease classification using exemplar deep features
Identification the immune related marker genes and transcription-factor network in ruptured cerebral aneurysms using bioinformatics analysis and machine-learning strategies
Intracranial volumetric changes govern cerebrospinal fluid flow in the Aqueduct of Sylvius in healthy adults
Efficient multi-scale learning via scale embedding for diabetic retinopathy multi-lesion segmentation
Patient-specific method of sleep electroencephalography using wavelet packet transform and Bi-LSTM for epileptic seizure prediction
An EEG-based methodology for the estimation of functional brain connectivity networks: Application to the analysis of newborn EEG seizure
Continuous estimation of finger joint angles under different static wrist motions from surface EMG signals
A cluster based model for brain activity data staging
Anomaly detection applied to the classification of cytology images
Generalized sparse discriminant analysis for event-related potential classification
COVID-19 disease identification from chest CT images using empirical wavelet transformation and transfer learning
Heart rate measurement based on spatiotemporal features of facial key points
DS-Former: A dual-stream encoding-based transformer for 3D medical image segmentation
Heart disease prediction using hyper parameter optimization (HPO) tuning
Auditory stimulus reconstruction from ECoG with DNN and self-attention modules
Evidence based management of medical devices: A follow-up experiment
A classification system of day 3 human embryos using deep learning
Comparison of beamformers for EEG source signal reconstruction
Pain intensity estimation via multimodal fusion: Leveraging ternary textures of derivatives in EDA and PPG signals
REBSA: Enhanced backtracking search for multi-threshold segmentation of breast cancer images
Corrigendum to "Artificial intelligence system for verification of schizophrenia via theta-EEG rhythm" [Biomedical Signal Processing and Control 81 (2023) 104485]
TMSA-Net:A novel attention mechanism for improved motor imagery EEG signal processing
Deep sample clustering domain adaptation for breast histopathology image classification
MAPI-Net: A context and location fusion network for multi-lesion segmentation in intravascular OCT
Towards energy- and interference-aware health monitoring by using WBANs in medicine services
Realtime PPG based respiration rate estimation for remote health monitoring applications
Data-driven motor imagery EEG classifier using difference subspace method
Diagnosis of Parkinson's disease using higher order statistical analysis of alpha and beta rhythms
Empirical validation of task-related component analysis reformulation for computational complexity reduction
An adaptive window-based hybrid artifact removal method for Ultra-Wide Band imaging enhancement of early breast cancer detection
SleepWatcher: Detecting sleep apnea/hypopnea syndrome from wearable devices using deep learning
Characteristic patch-based deep and handcrafted feature learning for red lesion segmentation in fundus images
Automating LC-MS/MS mass chromatogram quantification: Wavelet transform based peak detection and automated estimation of peak boundaries and signal-to-noise ratio using signal processing methods
Eye blink characterization from frontal EEG electrodes using source separation and pattern recognition algorithms
Breast cancer diagnosis using hybrid AlexNet-ELM and chimp optimization algorithm evolved by Nelder-mead simplex approach
Efficient lossless compression scheme for multi-channel ECG signal processing
Extraction of apparent BOLD components in resting state fMRI signals by a novel method called "BOLD-filter"
DFE-Net: Dual-branch feature extraction network for Enhanced segmentation in skin lesion
Retinal vessel image segmentation based on edge information guidance and multi-scale feature fusion
A study of decodable breathing patterns for augmentative and alternative communication
Design of subject independent 3D VAD emotion detection system using EEG signals and machine learning algorithms
Two stages framework based on foundation model and Kolmogorov Cross-Domain Decoupled Network for spinal disease analysis
Detection of alcoholism by combining EEG local activations with brain connectivity features and Graph Neural Network
Hilbert marginal spectrum analysis for automatic seizure detection in EEG signals
Complex network properties analysis of upper trunk muscle fatigue in firefighters carrying self-contained breathing apparatus
Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field
CBA-YOLOv5s: A hip dysplasia detection algorithm based on YOLOv5s using angle consistency and bi-level routing attention
Combining thermal imaging and machine learning to noninvasively characterize palm perfusion during local blood pressure changes
Classification of heart sounds using fractional fourier transform based mel-frequency spectral coefficients and traditional classifiers
Deep time-frequency features and semi-supervised dimension reduction for subject-independent emotion recognition from multi-channel EEG signals
LiM-Net: Lightweight multi-level multiscale network with deep residual learning for automatic liver segmentation in CT images
Improved Alzheimer's disease diagnosis using multimodal sparse similarity feature selection and auxiliary data
ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform
Semi 3D-TENet: Semi 3D network based on temporal information extraction for coronary artery segmentation from angiography video
Data fusion for estimating respiratory rate from a single-lead ECG
Detection of varicose vein disease using optimized kernel Boosted ResNet-Dropped long Short term Memory
Epileptic seizure detection using novel Multilayer LSTM Discriminant Network and dynamic mode Koopman decomposition
A deep model towards accurate boundary location and strong generalization for medical image segmentation
HyOCNN: Hybrid-optimized convolutional neural network for robust image classification
Weighted sparsity regularization for solving the inverse EEG problem: A case study
An enhanced EMG-driven Musculoskeletal model based on non-negative matrix factorization
DC-net: Dual-Consistency semi-supervised learning for 3D left atrium segmentation from MRI
Classification of SSVEP signals using the combined FoCCA-KNN method and comparison with other machine learning methods
White blood cell classification network using MobileNetv2 with multiscale feature extraction module and attention mechanism
A simple two-compartment model for analysis of feedback control of glucose regulation
Semantic information-guided attentional GAN-based ultrasound image synthesis method
Combining Gabor energy with equilibrium optimizer algorithm for multi-modality medical image fusion
Electroencephalogram (EEG) classification using a bio-inspired deep oscillatory neural network
Sparse-sampling photoacoustic computed tomography: Deep learning vs. compressed sensing
ECG signal compression and denoising via optimum sparsity order selection in compressed sensing framework
A template matched-filter based scheme for detection and estimation of t-wave alternans
Research of pulse position based on gradient pressure method
Preoperative path planning algorithm for lung puncture biopsy based on path constraint and multidimensional space distance optimization
A multi-wavelet optimization approach using similarity measures for electrocardiogram signal classification
A comparison of denoising methods for X-ray fluoroscopic images
A parallel dual-domain crossing network combining attention enhancement and multimodal fusion for MRI reconstruction
Enhancing Segment Anything Model with spatial context and textural detail for cardiac MRI segmentation
How the Oxynet web applications are used to crowdsource and interpret cardiopulmonary exercising tests data
A review of methods for automatic detection of macular edema
Occupational health improvement study on lumbar paraspinal muscle of surface electromyography across several tasks - A review
Automated segmentation and classification of retinal features for glaucoma diagnosis
A deep unsupervised saliency model for lung segmentation in chest X-ray images
SE-CNN integrated with transfer learning: Enhancing myoelectric pattern recognition amid electrode shift and damage interferences
DCSwin-UNet: Dual Encoder U-Net based on CNN and Swin Transformer with Trainable Multiplication Layer for brain tumor segmentation from MRI images
Correction of inhomogeneous magnetic resonance images using multiscale retinex for segmentation accuracy improvement
Blink-induced artifacts in aqueous flare measurements by EOG-based spot fluorometer and their reduction using unsupervised clustering
Investigation of the impact of cross-frequency coupling on the assessment of depression severity through the analysis of resting state EEG signals
Measurement of whole-brain atrophy progression using microwave signal analysis
Fully-automated fetal left ventricular myocardial performance index measurement in pulsed-wave Doppler ultrasound based on tubular structure enhancement and intensity projection waveform peak detection: A feasibility study
Optimum target range bin selection method for time-frequency analysis to detect falls using wideband radar and a lightweight network
Ensemble quantum deep learning for segmentation and classification of central nervous system demyelinating diseases
A novel time representation input based on deep learning for ECG classification
Challenging the status quo: Why artificial intelligence models must go beyond accuracy in cervical cancer diagnosis
Multimodal learning for non-small cell lung cancer prognosis
Short-term HRV in young adults for momentary assessment of acute mental stress
Wavelet Common Spatial Pattern in asynchronous offline brain computer interfaces
FPGA implementation of an automatic wheezing detection system
Data-efficient federated semi-supervised learning framework via pseudo supervision refinement strategy for lung tumor segmentation
Video-based continuous affect recognition of children with Autism Spectrum Disorder using deep learning
A survey of blood oxygen saturation assessment from video
Overall optimization of CSP based on ensemble learning for motor imagery EEG decoding
Model design of a superconducting quantum interference device of magnetic field sensors for magnetocardiography
Artificial intelligence-based approach for atrial fibrillation detection using normalised and short-duration time-frequency ECG
EEG biomarkers of cognitive load: Insights from incremental element encoding in short-term working memory
Sleep apnea syndrome classification based om temporal ECG and SPO2 by using multimodal multichannel transfer module with squeeze and excitation
Iridology based human health conditions predictions with computer vision and deep learning
Enhancing meibography based assessment of gland morphology by utilizing an image-rotating Mask R-CNN approach
Classification and recognition of brain tumors from MRI images based on improved YOLOv6
MV-STCNet: Breast cancer diagnosis using spatial and temporal dual-attention guided classification network based on multi-view ultrasound videos
A dual tri-path CNN system for brain tumor segmentation
Deep feature extraction based brain image classification model using preprocessed images: PDRNet