yusuke1997/dblp-id-title huggingface dataset:
Segment anything model-based segmentation with inception-ResNet-v2 classifier for Parkinson's disease diagnosis and metaverse visualization
Inflammation dynamics of atopic dermatitis: Phase transition and scaling law of remission time
A simple pre-disease state prediction method based on variations of gene vector features
Exploring classical machine learning for identification of pathological lung auscultations
In silico analysis of a novel protein in CAR T- cell therapy for the treatment of hematologic cancer through molecular modelling, docking, and dynamics approach
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0
Unsteady analysis of the airflow in human nasal airway - a computational study
A multistage deep neural network model for blood pressure estimation using photoplethysmogram signals
Corrigendum to "Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art" [Comput. Biol. Med. 169 (2024) 107929]
Virtual screening, molecular simulations and bioassays: Discovering novel microsomal prostaglandin E Synthase-1 (mPGES-1) inhibitors
A model approach to sharing electronic medical records between and within the state hospitals in Turkey
Enhanced shear wave attenuation estimation with expanded bandwidth in viscoelastic media
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis
Graph theory analysis based on cross frequency coupling methods in major depressive disorder: A resting state EEG study
Explaining deep learning for ECG analysis: Building blocks for auditing and knowledge discovery
Interactive dynamic navigation for virtual endoscopy
Attention to early stages: predicting acute kidney injury in a post cardiosurgical ICU setting using an inclusive time-to-event model
Analysis of the sEMG/force relationship using HD-sEMG technique and data fusion: A simulation study
A spatiotemporal graph transformer approach for Alzheimer's disease diagnosis with rs-fMRI
PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images
SaB-Net: Self-attention backward network for gastric tumor segmentation in CT images
A tool for automated diabetic retinopathy pre-screening based on retinal image computer analysis
An innovative method for assessing the relationship between longitudinal brain volume measurements and neurodevelopmental outcomes in preterm infants
Model-based subcutaneous insulin for glycemic control of pre-term infants in the neonatal intensive care unit
Fluid structure interaction analysis reveals facial nerve palsy caused by vertebral-posterior inferior cerebellar artery aneurysm
Explainable deep learning based techniques for ECG-Based heart disease classification: A systematic literature review and future direction
Validating an SVM-based neonatal seizure detection algorithm for generalizability, non-inferiority and clinical efficacy
A multi-instance tumor subtype classification method for small PET datasets using RA-DL attention module guided deep feature extraction with radiomics features
Machine learning approaches to reveal pinealocyte changes in ageing and Alzheimer's disease
Inter-patient variations in flow boundary conditions at middle cerebral artery from 7T PC-MRI and influence on Computational Fluid Dynamics of intracranial aneurysms
Interpretable Auto Window setting for deep-learning-based CT analysis
Impact of transfer learning for human sperm segmentation using deep learning
A dynamic model using k-NN algorithm for predicting diabetes and breast cancer
Homogeneity- and density distance-driven active contours for medical image segmentation
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets
T-wave end detection using neural networks and Support Vector Machines
3-D H-scan ultrasound imaging of relative scatterer size using a matrix array transducer and sparse random aperture compounding
Building a challenging medical dataset for comparative evaluation of classifier capabilities
Classification algorithms applied to blood-based transcriptome meta-analysis to predict idiopathic Parkinson's disease
Acetowhite region segmentation in uterine cervix images using a registered ratio image
Biomechanical assessment in virtual surgical planning for mandibular reconstruction
Predicting the physiological effects of multiple drugs using electronic health record
Explainable transformer-based deep survival analysis in childhood acute lymphoblastic leukemia
Computational study on the integration of a piezoelectric element into an uncemented revision hip stem for energy supply of smart implant functions
Drivers of mortality in COVID ARDS depend on patient sub-type
Three-dimensional multi-field modelling of gastric arrhythmias and their effects on antral contractions
Automated detection of masses in mammograms by local adaptive thresholding
Analysis of the haemodynamic changes caused by surgical and transcatheter aortic valve replacements by means fluid-structure interaction simulations
Applications of machine learning for peripheral artery disease diagnosis and management: A systematic review
Probabilistic neural networks employing Lyapunov exponents for analysis of Doppler ultrasound signals
Active surface model improvement by energy function optimization for 3D segmentation
Automatic head and neck tumor segmentation through deep learning and Bayesian optimization on three-dimensional medical images
Prospective role of lupeol from Pterocarpus santalinus leaf against diabetes: An in vitro, in silico, and in vivo investigation
Corrigendum to 'Analysis of factors that induce cysteine bonding state' [Computers in Biology and Medicine 39 (2009) 332-339]
MDMNI-DGD: A novel graph neural network approach for druggable gene discovery based on the integration of multi-omics data and the multi-view network
Early computational detection of potential high-risk SARS-CoV-2 variants
Deep diagnostic agent forest (DDAF): A deep learning pathogen recognition system for pneumonia based on CT
The revolutionary impact of 6G technology on empowering health and building a smart society: A scoping review
Advancing musculoskeletal tumor diagnosis: Automated segmentation and predictive classification using deep learning and radiomics
Emotion analysis and recognition in 3D space using classifier-dependent feature selection in response to tactile enhanced audio-visual content using EEG
Towards a social and context-aware multi-sensor fall detection and risk assessment platform
In silico analysis revealed the potential circRNA-miRNA-mRNA regulative network of non-small cell lung cancer (NSCLC)
A comparative study of statistical, radiomics, and deep learning feature extraction techniques for medical image classification in optical and radiological modalities
Using finite element analysis to determine effects of the motion loading method on facet joint forces after cervical disc degeneration
A computer-aided approach to detect the fetal behavioral states using multi-sensor Magnetocardiographic recordings
Application of artificial intelligence in active assisted living for aging population in real-world setting with commercial devices - A scoping review
Pulmonary nodule registration in serial CT scans using global rib matching and nodule template matching
Exploiting task relationships for Alzheimer's disease cognitive score prediction via multi-task learning
MHAN: Multi-Stage Hybrid Attention Network for MRI reconstruction and super-resolution
Identification of key genes in colorectal cancer diagnosis by co-expression analysis weighted gene co-expression network analysis
Using partial decision trees to predict Parkinson's symptoms: A new approach for diagnosis and therapy in patients suffering from Parkinson's disease
The effect of inlet velocity profile on the bifurcation COPD airway flow
COVID-19 image classification using deep learning: Advances, challenges and opportunities
A joint analysis proposal of nonlinear longitudinal and time-to-event right-, interval-censored data for modeling pregnancy miscarriage
MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder
A straightforward approach to computer-aided polyp detection using a polyp-specific volumetric feature in CT colonography
Brain tumour histopathology through the lens of deep learning: A systematic review
EmiNet: Moving bacteria detection on optical endomicroscopy images trained on synthetic data
Diagnosis and prediction of COVID-19 severity: can biochemical tests and machine learning be used as prognostic indicators?
3D segmentation of exterior wall surface of abdominal aortic aneurysm from CT images using variable neighborhood search
MS-TCNet: An effective Transformer-CNN combined network using multi-scale feature learning for 3D medical image segmentation
A threshold fuzzy entropy based feature selection for medical database classification
TCM-KLLaMA: Intelligent generation model for Traditional Chinese Medicine Prescriptions based on knowledge graph and large language model
MRI in CFD for chronic type B aortic dissection: Ready for prime time?
Longitudinal dementia trajectories for Alzheimer's Disease characterization and prediction
An expert system for selecting wart treatment method
A noise-robust sparse approach to the time-frequency representation of visual evoked potentials
A comprehensive review of neurotransmitter modulation via artificial intelligence: A new frontier in personalized neurobiochemistry
GloGen: PPG prompts for few-shot transfer learning in blood pressure estimation
Artificial neural networks as a method to improve the precision of subcutaneous adipose tissue thickness measurements by means of the optical device LIPOMETER
FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery
Cheminformatics-based selection and synergism of herbal extracts with anticancer agents on drug resistance tumor cells - ACHN and A2780/CP cell lines
Dynamical pattern of successive bits to predict the outcomes of the SSRI and rTMS depression therapies using EEG signals
Explaining electroencephalogram channel and subband sensitivity for alcoholism detection
A hybrid method for 3D mosaicing of OCT images of macula and Optic Nerve Head
Mechano-electric finite element model of the left atrium
Rich features based Conditional Random Fields for biological named entities recognition
A clinical-in silico study on the effectiveness of multipoint bicathodic and cathodic-anodal pacing in cardiac resynchronization therapy
VRML metabolic network visualizer
Multi-constraint point set registration with redundant point removal for the registration of coronary arteries
Efficient electrocardiogram generation based on cardiac electric vector simulation model
Partitioned estimation methodology of biological neuronal networks with topology-based module detection
Health technology adoption Framework's evaluation
PRA-Net: Part-and-Relation Attention Network for depression recognition from facial expression
Improving microsurgical suture training with automated phase recognition and skill assessment via deep learning
Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals
A molecular prospective provides new insights into implication of PDYN and OPRK1 genes in alcohol dependence
Hybrid physics-based and data-driven modeling of vascular bifurcation pressure differences
Comprehensive analysis of machine learning models for prediction of sub-clinical mastitis: Deep Learning and Gradient-Boosted Trees outperform other models
Prognostication of metastatic death in uveal melanoma patients: A Markov multi-state model
Quantification of particle deposition in asymmetrical tracheobronchial model geometry
Analysis of the relation between health statistics and eating habits in Japanese prefectures using fuzzy robust regression model
Methodological accuracy of digital and manual model analysis in orthodontics - A retrospective clinical study
Joint learning-based feature reconstruction and enhanced network for incomplete multi-modal brain tumor segmentation
Robust and smooth Couinaud segmentation via anatomical structure-guided point-voxel network
Documentation integrity: Authorship functionalities of EHR in a Saudi Arabian hospital
Lipophagy-related gene RAB7A is involved in immune regulation and malignant progression in hepatocellular carcinoma
Integrating multimodal learning for improved vital health parameter estimation
Automatic motion artifact detection in electrodermal activity signals using 1D U-net architecture
Integrating QSAR modeling, ADMET screening, molecular docking, and molecular dynamics simulations to identify potential MCF-7 inhibitors
Genome wide classification and characterisation of CpG sites in cancer and normal cells
Optimization of montages and electric currents in tDCS
FDE-net: Frequency-domain enhancement network using dynamic-scale dilated convolution for thyroid nodule segmentation
Automatic cerebral microbleeds detection from MR images via multi-channel and multi-scale CNNs
Identification of potential inhibitor targeting KRAS mutation in Papillary Thyroid Carcinoma through molecular docking and dynamic simulation analysis
A finite element study on the effects of follower load on the continuous biomechanical responses of subaxial cervical spine
Boosting support vector machines for cancer discrimination tasks
Neural network study for standardizing pulse-taking depth by the width of artery
Towards federated transfer learning in electrocardiogram signal analysis
A mosaic structure multi-level vascular network design for skull tissue engineering
Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review
Optimal drug regimens in cancer chemotherapy: A multi-objective approach
Modeling and simulation of a low-grade urinary bladder carcinoma
Identifying novel disease categories through divergence optimization: An approach to prevent misdiagnosis in medical imaging
An action recognition method for manual acupuncture techniques using a tactile array finger cot
Multi-modal learning for inpatient length of stay prediction
Improving blood cells classification in peripheral blood smears using enhanced incremental training
Computational modelling of cerebral oedema and osmotherapy following ischaemic stroke
Effect of velocity and acceleration in joint angle estimation for an EMG-Based upper-limb exoskeleton control
Molecular and metabolic mechanisms of bufalin against lung adenocarcinoma: New and comprehensive evidences from network pharmacology, metabolomics and molecular biology experiment
Cyclotorsion measurement using scleral blood vessels
A new way for surgical education - development and evaluation of a computer-based training module
Design and hierarchical analysis of magnetic actuated robot: A governing equation based approach
Optimal route planning for image-guided EBUS bronchoscopy
Virtual screening of DrugBank database for hERG blockers using topological Laplacian-assisted AI models
Automatic assessment of Alzheimer's disease diagnosis based on deep learning techniques
An optimised radial basis function algorithm for fast non-rigid registration of medical images
GraformerDIR: Graph convolution transformer for deformable image registration
Theoretical and experimental study on the molecular recognition of adrenaline by supramolecular complexation with crown ethers
Deep learning segmentation of Primary Sjögren's syndrome affected salivary glands from ultrasonography images
A computational framework to simulate the thermochemical process during thermochemical ablation of biological tissues
Deep structure tensor graph search framework for automated extraction and characterization of retinal layers and fluid pathology in retinal SD-OCT scans
An automated segmentation framework for nasal computational fluid dynamics analysis in computed tomography
CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer
Vibro-acoustic sensing of tissue-instrument-interactions allows a differentiation of biological tissue in computerised palpation
Rhythm-based heartbeat duration normalization for atrial fibrillation detection
Effect of whole-body vibration and sitting configurations on lumbar spinal loads of vehicle occupants
The role of weak interactions in evaluation of inhibitory potential of Indinavir as an HIV protease inhibitor and its comparison with innovative drug candidates
Analysis of a new therapeutic target and construction of a prognostic model for breast cancer based on ferroptosis genes
Flexibility-aware graph model for accurate epitope identification
Integrated analysis of single-cell and bulk RNA sequencing data reveals the association between hypoxic tumor cells and exhausted T cells in predicting immune therapy response
A Global and Local Feature fused CNN architecture for the sEMG-based hand gesture recognition
Plasma protein-based identification of neuroimage-driven subtypes in mild cognitive impairment via protein-protein interaction aware explainable graph propagational network
Mass spectrometry-based immunopeptidomics and computational vaccinology strategies for the identification of universal Shigella immunogenic candidates
Topology adaptive vessel network skeleton extraction with novel medialness measuring function
Are invasive cortical stimulations effective in brain atrophy?
A motion-tolerant approach for monitoring SpO 2 and heart rate using photoplethysmography signal with dual frame length processing and multi-classifier fusion
Impact of TGF-b on breast cancer from a quantitative proteomic analysis
Combining multi-dimensional molecular fingerprints to predict the hERG cardiotoxicity of compounds
Development and validation of a mathematical model for evaluating shear-induced damage of von Willebrand factor
Discovering driver nodes in chronic kidney disease-related networks using Trader as a newly developed algorithm
Multiscale representation for automatic identification of structures in medical images
Automated FBSE-EWT based learning framework for detection of epileptic seizures using time-segmented EEG signals
Diabetic retinopathy prediction based on vision transformer and modified capsule network
Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph
Numerical modelling of biopotential field for detection of breast tumour
MSRA-Net: Tumor segmentation network based on Multi-scale Residual Attention
Patient-specific prediction of arterial wall elasticity using medical image-informed in-silico simulations
A three-dimensional model for arterial tree representation, generated by constrained constructive optimization
Designing digital prescribing: A new approach with branch diagrams
Postoperative evaluation platform of female breast implant surgery with breast configuration indicator
Context encoder transfer learning approaches for retinal image analysis
Reducing sojourn points from recurrence plots to improve transition detection: Application to fetal heart rate transitions
Colorectal cancer classification using weakly annotated whole slide images: Multiple instance learning optimization study
COVID-19 forecasting using new viral variants and vaccination effectiveness models
Transient flow prediction in an idealized aneurysm geometry using data assimilation
MI-DABAN: A dual-attention-based adversarial network for motor imagery classification
Staging of upper limb lymphedema from routine lymphoscintigraphic examinations
Imputation methods for high-dimensional mixed-type datasets by nearest neighbors
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling
Ontology-based integration and querying of heterogeneous rare disease data sources - POLVAS perspective
Progressive multi-task learning for fine-grained dental implant classification and segmentation in CBCT image
AUDILAB: A knowledge-based quality audit simulator for testing laboratories
Impartial feature selection using multi-agent reinforcement learning for adverse glycemic event prediction
Automatic grading of human blastocysts from time-lapse imaging
A 3D segmentation network of mandible from CT scan with combination of multiple convolutional modules and edge supervision in mandibular reconstruction
A lightweight network guided with differential matched filtering for retinal vessel segmentation
Biomimetic model of skeletal muscle isometric contraction: II. A phenomenological model of the skeletal muscle excitation-contraction coupling process
Automated detection and classification of tumor histotypes on dynamic PET imaging data through machine-learning driven voxel classification
Cerebrospinal fluid flow dynamics in the aqueduct of Sylvius for rigid and deformable brain models
Computer-aided diagnosis of cervical lymph nodes on ultrasonography
Effect of stimulation sites on the performance of electromagnetic middle ear implant: A finite element analysis
Most suitable mother wavelet for the analysis of fractal properties of stride interval time series via the average wavelet coefficient method
HSNet: A hybrid semantic network for polyp segmentation
Deep learning innovations in diagnosing diabetic retinopathy: The potential of transfer learning and the DiaCNN model
CytomegaloVirusDb: Multi-omics knowledge database for cytomegaloviruses
Predicting ergonomic risk among laboratory technicians using a Cheetah Optimizer-Integrated Deep Convolutional Neural Network
Enhancing automatic multilabel diagnosis of electrocardiogram signals: A masked transformer approach
Analysis of the response of human iPSC-derived cardiomyocyte tissue to I CaL block. A combined in vitro and in silico approach
Machine learning prediction, molecular dynamics simulation, and in vitro studies of putative leads from citrus essential oil metabolites as potential dipeptidyl peptidase-4 inhibitors
Unraveling the relapse-associated landscape and individualized therapy in stage I lung adenocarcinoma based on immune and mitochondrial metabolism hallmarks via multi-omics analyses
Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy
Proposing a convolutional neural network for stress assessment by means of derived heart rate from functional near infrared spectroscopy
Automated labeling in medical data: A semi-supervised density-based approach for efficient diagnosis model development
Meta-adaptive-weighting-based bilateral multi-dimensional refined space feature attention network for imbalanced breast cancer histopathological image classification
Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction
Inferring functional miRNA-mRNA regulatory modules in epithelial-mesenchymal transition with a probabilistic topic model
The design of an fast Fourier filter for enhancing diagnostically relevant structures - endodontic files
Identification and analysis of Nonlinear behaviors of vocal fold biomechanics during phonation to assess efficacy of surgery for benign laryngeal Diseases
ACSN: Attention capsule sampling network for diagnosing COVID-19 based on chest CT scans
Boundary delineation in transrectal ultrasound image for prostate cancer
Automatic eczema classification in clinical images based on hybrid deep neural network
Toward personalized human-in-the-loop training: Real-time estimation of individual motor learning dynamics using the dual-rate model
Filtering affects the calculation of the largest Lyapunov exponent
Dual consistency regularization with subjective logic for semi-supervised medical image segmentation
The exponential decay characteristic of the spectral distribution of blood pressure wave in radial artery
Automated integration of facial and intra-oral images of anterior teeth