yusuke1997/dblp-id-title huggingface dataset:
UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation
Towards Reliable Isoform Quantification Using RNA-Seq Data
Deep Convolutional Autoencoder for EEG Noise Filtering
Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification
Cryptic binding site prediction with protein language models
Developing a linguistically annotated corpus of Chinese electronic medical record
PC-SENE: A node embedding based method for protein complex detection
Improved biomarker performance for the detection of hepatocellular carcinoma by inclusion of clinical parameters
Contrastive Meta-Learning for Drug-Target Binding Affinity Prediction
Identification of Cancer Development Related Pathways Based on Co-Expression Analyses
Detecting core protein complexes based on link patterns
Co-evolutionary genetic algorithm in symptom-herb relationship discovery
BA-SAM: Boundary-Aware Adaptation of Segment Anything Model for Medical Image Segmentation
XPFS: A new parallel PROSITE profile search algorithm on Xeon Phi
Predicting therapeutic outcomes in Rheumatoid Arthritis using real-world pharmacogenetic and clinical data
Correlating interactions with gene expressions to detect protein complexes in protein interaction networks
An Attention-based Semi-supervised Neural Network for Thyroid Nodules Segmentation
Collaborative phenotype inference from comorbid substance use disorders and genotypes
MICS: Medical image classification visual system
An Interpretable Causal Approach for Bronchopulmonary Dysplasia Prediction
Modelling enteric methane emissions from milking dairy cows with Bayesian networks
MEC: Misassembly error correction in contigs using a combination of paired-end reads and GC-contents
Covariate shift-adaptation using a transductive learning model for handling non-stationarity in EEG based brain-computer interfaces
A Study on the English Translation of the Articles on Tremor Syndrome in Golden Chamber Synopsis from the Perspective of Polysystem Theory
DDTExplainer: Mining Drug-Disease Therapeutic Mechanisms based on GNN Explainability
Accurately Clustering Single-cell RNA-seq data by Capturing Structural Relations between Cells through Graph Convolutional Network
Learning path design on knowledge graph by using reinforcement learning
Depth Sensor-Based In-Home Daily Activity Recognition and Assessment System for Stroke Rehabilitation
Optimizing Feature Selection for Unbalanced Metabolomics Data with A Background Factor: A Comparative Study in Parkinson's Disease
Predicted Regulatory Pathways for Long Noncoding RNA-SNHG7 via miR-34a and its Targets in Alzheimer's Disease
Scale-CoT: Integrating LLM with Psychiatric Scales for Analyzing Mental Health Issues on Social Media
Predicting Abandonment in Telehomecare Programs Using Sentiment Analysis: A System Proposal
Predicting Lymph Node Metastasis of Colorectal Cancer in CT Scans Using Attention-Based Multiple Instance Learning
Assessing stress levels via speech using three reading patterns
Toward precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis
Supervised prediction of aging-related genes from a context-specific protein interaction subnetwork
Retinal Vessel Segmentation Based on Multi-scale Line Detection and Morphological Transformation
A binary matrix factorization algorithm for protein complex prediction
Compression-based distance methods as an alternative to statistical methods for constructing phylogenetic trees
Towards the design of a comprehensive data de-identification solution
Module-level Gene-drug Interaction Identification via Hierarchical Optimal Transport
imiRTP: An Integrated Method to Identifying miRNA-target Interactions in Arabidopsis thaliana
MoSCHG: Multi-omics Single-cell Classification based on Heterogeneous Graphs and Supervised Contrastive Learning
HCCL: Hierarchical Channels and Contrastive Learning for Drug-Gene Multi-Relation Prediction
Analyzing Doxorubicin and Cardioprotective PLGA Nanoparticles on Murine Cardiomyocytes using Machine Learning Modeling to Mitigate Cardiotoxicity
UPS: A new approach for multiple sequence alignment using morphing techniques
A Novel Segmentation Algorithm for Throat Structures Identification
Sleep Stages Discrimination by Head Motion
Improving quality of ligand-binding site prediction with Bayesian optimization
S-PDB: Analysis and Classification of SARS-CoV-2 Spike Protein Structures
An information-theoretic algorithm to data-driven genetic pathway interaction network reconstruction of dynamic systems
Predicting the Semantic Characteristics of Pulmonary Nodules using Feature Selection Based on Maximum-relevance Minimum-redundancy
PredRBR: Accurate Prediction of RNA-Binding Residues in proteins using Gradient Tree Boosting
Mining molecular interactions from scientific literature using cloud computing
FSAM: Fine-tuning SAM encoder and decoder for Medical Image Segmentation
Exploring the Patent Medication Rules and Mechanisms of Traditional Chinese Medicine Formulas for the Treatment of Depression Based on Data Mining and Network Pharmacology
DCR-GAT: 3D Convolutional Residual Graph Attention Network for Emotion Classification
Comparing gene expression similarity metrics for connectivity map
GeneSum: Large Language Model-based Gene Summary Extraction
Evaluation of AutoML Frameworks for Computational ADMET Screening in Drug Discovery & Development
Multimodal feature learning framework for disease biomarker discovery
A Mixed Integer Linear Program for Post-translational Modification Characterization
A Graph-Theoretic Approach for Identifying Bacterial Inter-correlations and Functional Pathways in Microbiome Data
Visual data exploration of soil bacteria susceptible to engineered nanomaterials
Network-based analysis of reverse phase protein array data
Using similarity learning to improve network-based gene function prediction
A Particle Swarm Optimization Algorithm Based on Multi-Population Mutual Learning for SNP-SNP Interaction Detection
Lung Cancer Detection via Federated Learning
Exploration of Joint Training Models for Interdisciplinary Graduate Students in Traditional Chinese Medicine Informatics
Human Arm Stabilization and Rehabilitation using Intelligent Control Techniques
Artifact Detection in Invasive Blood Pressure Data using Forecasting Methods and Machine Learning
Fast Westfall-Young permutation procedure for combinatorial regulation discovery
CAMPEOD: A Cross Attention-Based Multi-Scale Patch Embedding Organoid Detection Model
Prediction Indicators for Acute Exacerbations of Chronic Obstructive Pulmonary Disease By Combining Non-linear analyses and Machine
Admission duration model for infant treatment (ADMIT)
VIA-QMI: A visualized data analytic tool for Quantitative Multiplex Co-Immunoprecipitation(QMI) Platform
Human housekeeping genes interrogated with Gini-index and GTEx datasets
Adaptive Thresholding based on Multi-task Learning for Refining Binary Medical Image Segmentation
DNA mapping using Processor-in-Memory architecture
DPNet: A Dual-Path Network With Distance-Aware Attention for Medical Image Segmentation
A Framework for Personalized Medicine with Reverse Phase Protein Array and Drug Sensitivity
Improving the generalization of disease stage classification with deep CNN for Glioma histopathological images
Multifactor dimendionality reduction analysis for gene-gene interaction of multiple binary traits
Leveraging Spatial-Temporal-Scale Augmentation to Assess Motor Abilities in Stroke Patients
Thermal sensor based multi-occupancy motion tracking and visualisation in smart environments
Artifact Detection in Multichannel Sleep EEG using Random Forest Classifier
Genetic information for chronic disease prediction
Understanding heterogeneity in pregnancy-associated breast cancer
Machine Learning Techniques for Automated Melanoma Detection
Multi-Class Metabolic Pathway Prediction by Graph Attention-Based Deep Learning Method
Development of an EEG-based Brain-Controlled System for a Virtual Prosthetic Hand
LightK-DSGCN: Depression Detection in EEGs with Lightweight Kalman Filter-aided Dual-Stream Graph Convolutional Networks
A Term Association Approach for Genomics Information Retrieval
Unsupervised kernel parameter estimation by constrained nonlinear optimization for clustering nonlinear biological data
Visualizing Patient Trajectories and Disorder Co-occurrences in Child and Adolescent Mental Health
A Novel Mixed Effects Random Forest Approach for Predicting Dairy Cattle Methane Emissions
3D ARCNN: An Asymmetric Residual CNN for Decreasing False Positive Rate of Lung Nodules Detection
The Combined Focal Cross Entropy and Dice Loss Function for Segmentation of Protein Secondary Structures from Cryo-EM 3D Density maps
A weighted similarity measure approach to predict intensive care unit transfers
Improving prediction accuracy of influenza-like illnesses in hospital emergency departments
Generalizable multi-vaccine distribution strategy based on demographic and behavioral heterogeneity
DiscMLA: AUC-based discriminative motif learning
A novel framework for chimeric transcript detection based on accurate gene fusion model
Acupuncture combined with acupoint injection for treatment of peripheral facial paralysis review
KIT-LSTM: Knowledge-guided Time-aware LSTM for Continuous Clinical Risk Prediction
Knowledge-Enhanced Dual Graph Neural Network for Robust Medicine Recommendation
Integrating Gene Expression Data and Pathway Knowledge for In Silico Hypothesis Generation with IMPRes
Toward high accuracy and visualization: An interpretable feature extraction method based on genetic programming and non-overlap degree
A compartmental network model for the spread of whooping cough
Drug drug interaction extraction from literature using a skeleton long short term memory neural network
Affinity-Graph-Guided Contractive Learning for Pretext-Free Medical Image Segmentation with Minimal Annotation
Enhancing Nested Named Entity Recognition in Chinese EMRs: A Collaborative Approach
Conservative Q-Learning for Mechanical Ventilation Treatment Using Diagnose Transformer-Encoder
A Novel Drug-Drug Interaction Prediction Model Based on Line Subgraph Generation Strategy
Whole genome sequencing of disease animal models
An MDL-Based Genetic Algorithm for Genome Sequence Compression
Predicting learning stages during the serial reaction time task using event-related potentials
Improved classification and grading of interferents in serum specimens using machine learning
Robust One-Shot Brain Tissue Segmentation via Patch-wise Contrastive Learning and Dual-Head Variational Autoencoder
A Multidimensional Feature Extraction Method Based on MSTBN and EEMD-WPT for Emotion Recognition from EEG Signals
ST-ChIP: Accurate prediction of spatiotemporal ChIP-seq data with recurrent neural networks
Pixel-Level Clustering Reveals Intra-Tumor Heterogeneity in Non-Small Cell Lung Cancer
When the How Outweighs the What: the Pivotal Importance of Context
The effect of unhealthy β-cells in synchronized insulin secretion
Detection of Chronic Kidney Disease Using Neuro-Fuzzy Rule-based Classifier
Identification of Breast Cancer Gene Signature in Protein Interaction Network Using Graph Centrality
Deploying swarm intelligence in medical imaging
Extrapolating Prospective Glaucoma Fundus Images through Diffusion in Irregular Longitudinal Sequences
Discovering Frequent Patterns of Functional Associations in Protein Interaction Networks for Function Prediction
AIPPT: Predicts anti-inflammatory peptides using the most characteristic subset of bases and sequences by stacking ensemble learning strategies
GTDDA: Graph Convolutional Network and Graph Transformer Structure for Drug Repositioning
Optimization of Biomedical Language Model with Optuna and a Sentencepiece Tokenization for NER
Automatic Removal of Scalp EEG Artifacts Using an Interpretable Hybrid Deep Learning Method
A semantic approach to involve Twitter in LBD efforts
Test-Time Medical Image Segmentation Using CLIP-Guided SAM Adaptation
Flu MODELO 1.0: A simulation model and graphic interface for training and decision support for influenza management
Multi-Cohort Evaluation of an Automated Sleep Stage Detection Methodology Using ECG and Respiration Signals *
Sentiment Analysis based COVID-19 Vaccine Recommender System
Low-Quality Ultrasound Image Enhancement Using Spatially Variable Neural Implicit Network
BioExpDNN: Bioinformatic Explainable Deep Neural Network
Correlative study on TCM syndromes of congestive heart failure, cardiac function and brain natriuretic peptide
Learning to Follow Frequency View Guidance for Dental CT Images Deblurring
FF-MSPAM: A Multi-scale Parallel Attention Mechanism based Feature Fusion Model for Diagnosis of Parkinson's Disease
EpiMCBN: A Kind of Epistasis Mining Approach Using MCMC Sampling Optimizing Bayesian Network
MulMarker: a comprehensive framework for identifying multi-gene prognostic signatures
FedIO: Bridge Inner- and Outer-hospital Information for Perioperative Complications Prognostic Prediction via Federated Learning
Correlation-based network analysis for biomarkers in obesity
Evolution of GWAS results through ADNI cohorts
Descriptor based protein structure representation using triangular spatial relationships in 3-D
Machine Learning-Based Classification of VOCs for Breath Analyzer Linked to Different Chronic Diseases
PAIR: protein-aptamer interaction prediction based on language models and contrastive learning framework
CM-HTNet: CNN-Mamba-based Framework for Predicting Hemorrhagic Transformation Risk of AIS Patients using Sequence Relationship Modeling and Multi-Modal Cross Attention
AREDCI: Assessing Reproducibility and Differential Chromatin Interactions for ChIA-PET Sequencing Data
MVLncStack: A novel method for lncRNA subcellular localization prediction based on multi-view features
CTRhythm: Accurate Atrial Fibrillation Detection from Single-Lead ECG by Convolutional Neural Network and Transformer Integration
Recursive protein modeling: A divide and conquer strategy for protein structure prediction and its case study in CASP9
The Design and Implementation of Perioperative Adverse Events Advisory and Command System
Prediction of novel systems components in cell cycle regulation in malaria parasite by subnetwork alignments
DrugEL: Ensemble Learning Model for Identification of Druggable Proteins
Supervoxels-based Self-supervised Few-shot 3D Medical Image Segmentation via Multiple Features Transfer
Evaluation and Integration of Advanced AI Chatbots for Biological Pathway Curation
RPI-WGNN: ncRNA-Protein Interaction Prediction based on Weighted Graph Neural Networks
Penetration Testing for Securing IoT-Enabled Healthcare Systems: A Focus on Wearable Devices and Remote Surgery
Confidence-Guided Weakly-Supervised Visual Evidence Discovering for Trustworthy Glaucoma Diagnosis
Deformation Correction in Laparoscopic Liver Surgical Navigation Using Point Cloud Completion and Biomechanical Model
Sparse Attention-based Hierarchical Node Representation for Spatial Domain Identification
A novel identified temporal protein complexes strategy inspired by density-distance and brainstorming process
A Time-Guided Method for Constructing Combined Medical Event Chains
Markov blanket: Efficient strategy for feature subset selection method for high dimensional microarray cancer datasets
Computational challenges in microbiome research
Variable selection in heterogeneous datasets: A truncated-rank sparse linear mixed model with applications to genome-wide association studies
Classification of Left/Right Hand and Foot Movements from EEG using Machine Learning Algorithms
Predicting Emergency Department Visits Based on Cancer Patient Types
Imputing time-series microbiome abundance profiles with diffusion model
A multi-objective genetic algorithm based on neighborhood coevolution for community detection
Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion Module
Prediction of the Caenorhabditis elegans body posture and strains
Cross-Guided Attention and Combined Loss for Optimizing Gastrointestinal Visual Question Answering
Multi-label learning by exploiting label correlations for TCM diagnosing Parkinson's disease
BrainVGAE: End-to-End Graph Neural Networks for Noisy fMRI Dataset
Predict the Protein-protein Interaction between Virus and Host through Hybrid Deep Neural Network
Towards the Mental Health Ontology
Extending the ball-histogram method with continuous distributions and an application to prediction of DNA-binding proteins
SMMGCL: a novel multi-level graph contrastive learning framework for integrating spatial multi-omics data
UIMA based solution in pharma text
Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources
No-Reference Compression of Genomic Data Stored in FASTQ Format
Medical Big Data Mining: Joint Symptom Name Recognition and Severity Estimation
SLPal: Accelerating Long Sequence Alignment on Many-Core and Multi-Core Architectures
α-MOP: Molecule optimization with α-divergence
Automatic Psoriasis Lesion Segmentation from Raw Color Images using Deep Learning
seGOsa: Software environment for gene ontology-driven similarity assessment
RUPEE: Scalable protein structure search using run position encoded residue descriptors
Logical Model and Verification of Emotion Triggers for BDI Agents
Application of patient-reported outcomes in clinical evaluation of acupuncture for cervical spondylosis with artificial neural network
Utilizing XGBoost for the Prediction of Material Corrosion Rates from Embedded Tabular Data using Large Language Model
Applying clinical guidelines to conformance checking for diagnosis and treatment: a case study of ischemic stroke
Information interconnection Harris hawks hybrid optimization algorithm
Kinetic Modeling Using BioPAX Ontology
High-order Brain Network Analysis of Depression Based on Dynamic Functional Connectivity
A text-mining analysis on the application of traditional Chinese medicine external therapy and food therapy in hypertension treatment
Wavelet-Based Compression and Estimation of the $N$-State Stochastic Microtubule Signal
Evaluation of personalized treatment goals on engagement of SMI patients with an mHealth app
Study on the correlation between tongue diagnosis of traditional Chinese medical and assay result of health check
A WED Method for Evaluating the Performance of Change-Point Detection Algorithms
Discovering maximal cohesive subgraphs and patterns from attributed biological networks
A hybrid approach of support vector machines with logistic regression for β-turn prediction
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports
Joint Biomedical Entity and Relation Extraction with Unified Interaction Maps
LSL: A new measure to evaluate triclusters
ZHENG classification in Traditional Chinese Medicine based on modified specular-free tongue images
Convolutional Neural Network with an Element-wise Filter to Classify Dynamic Functional Connectivity
ACOsched: A scheduling algorithm in a federated cloud infrastructure for bioinformatics applications
A rare case of intracystic Her-2 positive young breast cancer
Determining and Validating Population Differences in Magnetic Resonance Angiography Using Sparse Representation
Hybrid Modified League Championship Algorithm and its Applications in Compartmental Pharmacokinetic-Pharmacodynamic Data Analysis
Inter/Intra-Constraints Optimization for Fast Vessel Enhancement in X-ray Angiographic Image Sequence
Mining meaningful topics from massive biomedical literature
Health Insurance Anomaly Detection Based on Dynamic Heterogeneous Information Network
A composite three-stage normalization method for cDNA microarray data
Diff-SFCT: A Diffusion Model with Spatial-Frequency Cross Transformer for Medical Image Segmentation
Multiview 3-D Echocardiography Image Fusion with Mutual Information Neural Estimation
Research trends in the relationship between berberine and diabetes: a bibliometric and visualization analysis in 2004-2024
Developing Attractor Analysis Techniques for a Compositional Boolean Network Framework
Chinese Word Segmentation in Electronic Medical Record Text via Graph Neural Network-Bidirectional LSTM-CRF Model
Domain-specific Knowledge Guided Self-supervised Learning for Pathological Image Segmentation
MMDA: Disease Analysis Model Based on Anthropometric Measurement
Statistical Machine Learning and Computational Biology
The interpretation of researching thoughts on migraine treated by acupuncture integrated with Chinese traditional medicine
Meta-analysis of protein structural alignment
RoKEPG: RoBERTa and Knowledge Enhancement for Prescription Generation of Traditional Chinese Medicine
From Non-Expert to Expert: Recurrent Refined Learning for Medical Image Segmentation
SeqFRT: Towards Effective Adaption of Foundation Model via Sequence Feature Reconstruction in Computational Pathology
Estimating New York Heart Association Classification for Heart Failure Patients from Information in the Electronic Health Record
Multi-Task Learning for Suicide Risk Detection on Chinese Dialogue
Research on the component law of Chinese medicine for knee osteoarthritis and the development of new recipes through unsupervised data mining methods
A conceptual data model for transcriptome project pipeline
Single-cell RNA sequencing data clustering using graph convolutional networks
Varying Mutational Classes Illuminate Differential Genetic Patterns Between Schizophrenia and Bipolar Disorder
Protein Network Analysis by the Interaction Force between Protein Molecules
DETR-SAM: Combining Feature-Fused DETR Detector and Fine-Tuned SAM for Automatic Aortic Dissection Segmentation in CTA Image
Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data
Supraventricular Tachycardia Detection via Machine Learning Algorithms
Simple yet Effective ECG Identity Authentication with Low EER & without Retraining
Robust Federated Semi-Supervised Learning for Medical Image Classification via Pseudo-Label Filtering
Budgeted transcript discovery: A framework for joint exploration and validation studies
Identification of Depression-Related Electroencephalographic Patterns Using Astrocyte Spiking Neural Network
C2BERT: Cross-contrast BERT for Chinese Biomedical Sentence Representation
Interpreting Lung Cancer Health Disparity between African American Males and European American Males
Predicting Multidrug Resistance Using Temporal Clinical Data and Machine Learning Methods
Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data
Identifying and Characterizing Opioid Addiction States Using Social Media Posts
Genome variant calling workflow implementation and deployment in HPC infrastructure
ESclassifier: A random forest classifier for detection of exon skipping events from RNA-Seq data
Predicting the lifespan of cancer patients by replicating known quantum embedding processes in novel circuit schemes in Qiskit
GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules
Weakened and Imbalanced Gene Expression of Rheumatoid Arthritis Patients with Qi-Blood-Deficiency Syndrome
Detection of Mammalian Coding Sequences Using a Hybrid Approach of Chaos Game Representation and Machine Learning
Professor Wenbin Fu's experience in treating Tourette syndrome on the theory of regulating Spirit
SHAREChain: Healthcare data sharing framework using Blockchain-registry and FHIR
Federated Learning for Chronic Obstructive Pulmonary Disease Classification with Partial Personalized Attention Mechanism
A new DP algorithm for comparing gene expression data using geometric similarity
Particle swarm optimization-based bio-network discovery method for the diagnosis of colorectal cancer
Prediction of hot regions in protein-protein interactions based on complex network and community detection
Cell type identification for single cell RNA data by bulk data reference projection
Decomposing protein interactome networks by graph entropy
An ant colony optimization algorithm for learning brain effective connectivity network from fMRI data
In silico strategy to model LMP1 of Epstein-Barr virus protein
Time and Time-Frequency Features Integrated CNN Model for Heart Sound Signals Detection