yusuke1997/dblp-id-title huggingface dataset:
Low Data Image Analysis with a Generative Adversarial Network: A Case Study on Women Pelvic MRI Scans
A Naïve Bayes classifier for differential diagnosis of Long QT Syndrome in children
Graph Representation of Chinese EMRs and its Short-text Classification Application 1
ENISI multiscale modeling of mucosal immune responses driven by high performance computing
A Deep Architecture for Surgical Workflow Recognition with Edge Information
The ontology-based knowledge representation modeling of the traditional-Chinese-medicine symptom
EpiTracer - an algorithm for identifying epicenters in condition-specific biological networks
FOIT: Fast Online Instance Transfer for Improved EEG Emotion Recognition
A Hybrid Convolutional and Recurrent Deep Neural Network for Breast Cancer Pathological Image Classification
Biomedical image segmentation for semantic visual feature extraction
Inferring semantic similarity through correlating information contents of gene ontology terms
Signature-based clustering for analysis of the wound microbiome
An Attention-based BI-GRU-CapsNet Model for Hypernymy Detection between Compound Entities
Mining Cancer Cell Line-Based Drugs to Benefit KRAS (G12D) Pancreatic Adenocarcinoma Patients
A large language model for predicting T cell receptor-antigen binding specificity
Spatially constrained fuzzy hyper-prototype clustering with application to brain tissue segmentation
Gene selection using 1-norm regularization for multi-class microarray data
A method on Face Recognition of Contaminated Small Sample
PRSAMF: Personalized recommendation based on sentiment analysis and matrix factorization
Semi-supervised Medical Image Segmentation based on Coarse-Fine Dual Training Streams
Semi-supervised Focal Cortical Dysplasia Lesion Segmentation with Dual Branch Consistency Regularization
De novo genome assembly tool comparison for highly heterozygous species Vitis vinifera cv. Sultanina
EpilepsyNet: A Self-Calibrating Deep Learning Network for Accurate and Robust Seizure Detection
Identifying Disease-related Brain Imaging Quantitative Traits and Related Genetic Variations via A Bidirectional Association Learning Method
Longitudinal Analysis of the Connectivity and Complexity of Complete Locked-in Syndrome Patients Electroencephalographic signal
Prediction of Protein-RNA interaction site using SVM-KNN algorithm with spatial information
Multimodal Learning for Predicting Mortality in Patients with Pulmonary Arterial Hypertension
Moxibustion at Da-zhui acupoint for sensorineural tinnitus with the pattern about deficiency of qi-and-blood: A study protocol for clinical trial
A fragment based alignment in linear space
Timely-MDA: A Benchmark for Generalizable MiRNA-Disease Association Prediction
Bootstrapping Radiography Pre-training via Siamese Masked Vision-Language Modeling with Complementary Self-distillation
Understanding biomedicai research collaborations through social network analysis: A case study
Explainable Deep Learning for Chest X-Ray Classification
Can I find information about rare diseases in some other language?
Integrated cellular and gene interaction model for cell migration in embryonic development
A Novel Class Imbalance-oriented Polynomial Neural Network Algorithm for Disease Diagnosis
miRNA and gene expression based cancer classification using self-learning and co-training approaches
MMSE: A generalized coherence measure for identifying linear patterns
Action recognition based on depth image sequence
The lookAfterRisk Project: Dynamic Cardiovascular Risk Assessment based on Remote Monitoring Solutions
MouseScholar: Evaluating an Image+Text Search System for Biocuration
Evaluation of nystagmus and direction in videonystagmography using wavelet transform and deep learning
Insight: Semantic provenance and analysis platform for multi-center neurology healthcare research
A Heterogeneous Network-based Contrastive Learning Approach for Predicting Drug-Target Interaction
A preliminary investigation of diabetic nephropathy biomarkers through machine learning approaches
Identifying heritable composite traits from multivariate phenotypes and genome-wide SNPs
Analysis on Medication Rules of Guide to Clinical Medical Records from the Prescriptions Containing Poria Cocos Based on Data Mining
Latent space feature representation on multiple biological network for synthetic lethality interaction prediction
A framework for analyzing DNA methylation data from Illumina Infinium HumanMethylation450 BeadChip
Copy number variation detection using partial alignment information
Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion
3D Skull Completion via Two-stage Conditional Diffusion-Based Signed Distance Fields
Facial StO2: A New Promising Biometric Identity
Fast alignment filtering of nanopore sequencing reads using locality-sensitive hashing
Prediction of protein structural class using a combined representation of protein-sequence information and support vector machine
A Nonparametric Method for Detecting Differential DNA Methylation Regions
GMFQP: An Ontology-mediated Gut Microbiota Federated Query Platform
Eye movement pattern and mental retardation in depression
CSA-UNet: An Efficient Context Separable Attention UNet for Medical Image Segmentation
Knowledge Abstraction Matching for Medical Question Answering
Inhibition of notch signaling pathways contribute to neuroprotection effect by the combination of astragalus membranaceus and ligustrazine in rat model after thrombolysis of cerebral ischaemia
INDEED: R package for network based differential expression analysis
ImageSfERe: Image sharing for epilepsy research
What will regularized continuous learning performs if it was used to medical image segmentation: a preliminary analysis
An ontology-based approach to improve data querying and organization of Alzheimer's Disease data
Classification of Single Cell Types During Leukemia Therapy using Artificial Neural Networks
A unified approach to the computation and analysis of strings of gene expression states
ERU-Net: An Enhanced Regression U-Net with Attention Gate and Adaptive Feature Fusion Block for Brain Age Prediction
Enhancing the accuracy of knowledge discovery: A supervised learning method
A Feature Weighting Particle Swarm Optimization Method to Identify Biomarker Genes
A physiological signal processing system for optimal engagement and attention detection
Biomedical event extraction based on distributed representation and deep learning
Aid decision of Chinese traditional patent medicine based on manifold ranking
Automatic Sleep Staging via Frequency-Wise Spiking Neural Networks
MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation
LKC-NET: A Liver and Tumor Segmentation Method based on Large Kernel Parallel Dilated Convolution
Exploring the Ethical Challenges of Large Language Models in Emergency Medicine: A Comparative International Review
Navigating Sex-Specific Disease Dynamics in Incident Dementia
A new type of wavelet de-noising algorithm for lung sound signals
A Hybrid Neural Network Model with Entity-related Knowledge for Adverse Drug Reaction Detection
NCCD-RxNorm: Linking Chinese Clinical Drugs to International Drug Vocabulary
Grid-Search Integrated Optimized Support Vector Machine Model for Breast Cancer Detection
Guilt-by association approach to identify novel human aging-related genes using protein domains
Optimizing U-Net to Segment Left Ventricle from Magnetic Resonance Imaging
Analysis of facial muscle activation in children with autism using 3D imaging
scHiCSC: A Novel Single-Cell Hi-C Clustering Framework by Contact-Weight-Based Smoothing and Feature Fusion
Chinese Elderly Healthcare-Oriented Conversation: CareQA Dataset and Its Knowledge Distillation Based Generation Framework
Enabling Adaptive CNV Detection through A Novel Predictive Control Framework
Patient empowerment in online support group for temporomandibular disorder
CSABlock-based Cascade RCNN for Breast Mass Detection in Mammogram
Modeling antigenic property of the hepatitis C virus NS3 protein
MULABS: Multi-Task Learning with Attention-Based Scoring for Click-Through Rate Prediction on Sparse Data in Healthcare Real-World Scenarios
The Application of Network Structure Aanalysis in the Study of Disease Mechanisms
Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data
Efficient parallel algorithm for compound comparisons on multi-GPUs
An Efficient Methodology for PK-PD Data Analysis Based on Novel Bound Selection and Modified Spiral Dynamic Optimization Methods
Two-Stream Squeeze-and-Excitation Network for Multi-modal Sleep Staging
NEIMiner: A model driven data mining system for studying environmental impact of nanomaterials
A Selective Ensemble Learning Framework for ECG-Based Heartbeat Classification with Imbalanced Data
Guiding Exploration of Antimicrobial Peptide Space with a Deep Neural Network
Comparison of the Nanopore and PacBio sequencing technologies for DNA 5-methylcytosine detection
Deep learning boosted amyloidosis diagnosis
A supervised solution for redundant feature detection depending on instances
Predicting candidate disease-related lncRNAs based on network random walk
Integrated bioinformatics analysis identifies hub genes and pathways involved in the metastasis of synovial sarcoma
KtreeBnIp: An Efficient Epistasis Mining Approach Using K-tree Optimizing Bayesian Network
Exploring and Organizing Spatiotemporal Features such as Waves in High Throughput Brain Recordings by Lifting to Feature Space
Decoupling MIL Transformer-based Network for Weakly Supervised Polyp Detection
Towards Learning-based Surgical Planning of Glioma Resection via a Contrastively Constrained Siamese Neural Network
Networks and models for the integrated analysis of multi omics data
Drug Repositioning for SARS-CoV-2 Based on Graph Neural Network
Automatic infection detection based on electronic medical records
Prediction of exosomal piRNAs based on deep learning for sequence embedding with attention mechanism
Likelihood of side effects depends on desired clinical impact: Affinities within a very small set of targets enables inference of promiscuity or specificity of kinase inhibitors
Algorithmic detection of inconsistent modeling among SNOMED CT concepts by combining lexical and structural indicators
Innovative navigation of health discussion forums based on relationship extraction and medical ontologies
Parallel algorithm for indexing large DNA sequences using MapReduce on Hadoop
Effectiveness of Applying Codon Usage Bias for Translational Initiation Sites Prediction
Detecting protein complex based on hierarchical compressing network embedding
A Morphology Focused Cell Detection Model for Histopathology Images
SNEP-DB: An integrated database to associate genomic and pathological aspects of psychiatric disorders
Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics
Uncovering Genomic Reassortments among Influenza Strains by Enumerating Maximal Bicliques
Enhancing Chest X-ray Diagnostics with Neighbor-assisted Multimodal Integration
Frequency Tree clustering for ICU mortality analytics using graph databases
The Performance of UMAP plus Linkage Compared with Daura-Clustering of Molecular Dynamics of the PD-1 Checkpoint Receptor
A Factual Aware Two-Stage Model for Medical Dialogue Summarization
A methodical assessment of interpolation techniques to metal artifact reduction in Computed Tomography
Joint clustering and alignment for nucleosome occupancy analysis
A deep graph convolution network with attention for clustering scRNA-seq data
Ensemble Learning Based on Active Example Selection for Solving Imbalanced Data Problem in Biomedical Data
Identifying MiRNA and Imaging Features Associated with Metastasis of Lung Cancer to the Brain
ResPocket: A Multi-Scale Feature Fusion Method for Improving Protein Binding Site Detection
An interpretable model for predicting side effects of analgesics for osteoarthritis
Convolutional Neural Network Techniques on X-ray Images for Covid-19 Classification
LncRNA-miRNA interaction prediction from the heterogeneous network through graph embedding ensemble learning
DSHP: A Novel Sequence Based Deep Learning Prediction Model for HPV Integration Site
MALBACsim: A Multiple Annealing and Looping Based Amplification Cycles simulator
Uncertainty-aware Condensation for OCT Cervical Dataset Combining Coreset Selection and Distillation
Ant Colony Optimization with Self-Evolving Parameter for Detecting Epistatic Interactions
Modeling competing endogenous RNA regulatory networks in glioblastoma multiforme
Channel Selection based Similarity Measurement for Motor Imagery Classification
Multi-modal Contrastive-Generative Pre-training for Fine-grained Skin Disease Diagnosis
Automated Particle Picking in Cryo-Electron Micrographs using Deep Regression
A Squeeze Convolutional Network For MRI Right Ventricle Segmentation
A General Endoscopic Image Enhancement Method Based on Pre-trained Generative Adversarial Networks
Computing transition paths in multiple-basin proteins with a probabilistic roadmap algorithm guided by structure data
CT Image Harmonization for Enhancing Radiomics Studies
Comparison of an atomic model and its cryo-EM image at the central axis of a helix
Ontology-based annotation and retrieval for large-scale VCF data
Multivariate Time Series Missing Data Imputation Using Recurrent Denoising Autoencoder
Biological Processes underlying the Reinforcing Primary Qi Delivered by Ginseng
Classification of genome-wide copy number variations and their associated SNP and gene networks analysis
MVP: Optimizing Multi-view Prompts for Medical Dialogue Summarization
Human Age Estimation from Gene Expression Data using Artificial Neural Networks
LncRNA Subcellular Localization Signals - Are the Two Ends Equal? A Machine Learning Analysis Across Multiple Cell Lines
VISWES: A system for finding related vaccinia virus protein sequences in cancer immune therapy
Representation of Chromosome Conformations Using a Shape Alphabet Across Modeling Methods
FalconProtein: Finetuning Falcon Foundation Model for Protein Engineering
Drug-target network in myocardial infarction: A structural analysis
Comparing Machine Learning Models for Intron Classification
A Study on Automatic Generation of Chinese Discharge Summary
"One-Shot" Reduction of Additive Artifacts in Medical Images
Single-Cell Topological Simplicial Analysis Reveals Higher-Order Cellular Complexity
The Construction of Sparse Probabilistic Boolean Networks: A Discrete Perspective
A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning
A comparison study on protein-protein interaction network models
STIP: An SNP-trait inference platform
Study on the Medication Law of Traditional Chinese medicine treating Lumbago based on TCM electronic medical record
Modeling and application of aorta coarctation: support system for pre-operative decision
Automatic detection of infectious diarrhea based on electronic medical records
A Novel Framework for Maternal ECG Removal from Single-Channel Abdominal Recording
ADCL: an adaptive dual contrastive learning framework based on MHGAT and VAE for cell type deconvolution in spatial transcriptomics
CAANet: CAM-guided Adaptive Attention Network for Weakly Supervised Semantic Segmentation of Thyroid Nodules
Harnessing the Power of Bayesian Neural Networks for Annotator Consensus Refinement to Enhance Meibomian Gland Dysfunction Classification
Molecular Graph Contrastive Learning with Parameterized Explainable Augmentations
Use of Spiking Neural Networks over Augmented EEG Dataset
Emotional-state brain network analysis revealed by minimum spanning tree using EEG signals
A clinical outcome evaluation model with local sample selection: A study on efficacy of acupuncture for cervical spondylosis
Extended Analysis of Topological-Pattern-Based Ontology Enrichment
Synthesizing with Diffusion model for improving medical image segmentation performance
Modeling heart procedures from EHRs: An application of exponential families
Applying a user-centered, rapid-prototyping methodology with quantified self: A case study with triathletes
BrainPST: Pre-training Stacked Transformers for Dynamic Brain Functional Network Analysis
YMamba: A Dual-Branch Network Fusing State Space Model and CNN for Medical Image Segmentation
Computerized neuropsychological assessment in mild cognitive impairment based on natural language processing-oriented feature extraction
Robust landmark-based image registration using l1 and l2 norm regularizations
Accelerating incremental wrapper based gene selection with K-Nearest-Neighbor
PPIExtractor: A protein-protein interaction Extractor for biomédical literature
Graphical User Interface for assistance with ICD-10 coding of Hospital Discharge Records
DGPDHGCN: A Heterogeneous Graph Convolutional Network Method for Predicting Drug-Disease Associations
Template-based prediction of RNA tertiary structure
Deep neural network based protein-protein interaction extraction from biomedical literature
Experimental Survey on Power Dissipation of k-mer-Handling Data Structures for Mobile Bioinformatics
MultiFacTV: Finding modules from higher-order gene expression profiles with time dimension
CGPG-GAN: An Acne Lesion Inpainting Model for Boosting Downstream Diagnosis
Predicting MCI progression with individual metabolic network based on longitudinal FDG-PET
Inferring Fuzzy Cognitive Map models for Gene Regulatory Networks from gene expression data
BTCN: Bridging the Gap Between Pre-trained and Downstream Models for Endoscopic Caries Detection
Machine learning based system for the automation of systematic literature reviews
NeuroPredictome: A Data-Driven Predictome Linking Neuroimaging to Phenotype
Artificial Neural Networks Classification of Patients with Parkinsonism based on Gait
Pancreas Modeling from IVGTT Data Using a Deterministic Optimal Search Method
AGMI: Attention-Guided Multi-omics Integration for Drug Response Prediction with Graph Neural Networks
Emotion Recognition based on Physiological Signals Multi-head Attention Contrastive Learning
Using NLP for Differential Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation
Quasi-palindrome effects on DNA sequence evolution
TCMISS-based analysis on the regularity of ancient TCM prescriptions for chronic renal failure
Classifying six glioma subtypes from combined gene expression and CNVs data based on compressive sensing approach
MFCNet: Multi-Feature Fusion Neural Network for Thoracic Disease Classification
SpliceCannon: A novel framework for the prediction of canonical and non-canonical splice sites based on deep learning
A scalable method for detecting multiple loci associated with traits using TF-IDF weighting and association rule mining
Model-free expectation maximization for divisive hierarchical clustering of multicolor flow cytometry data
Cardiac image registration by combining point set matching with surface structure features
Raw nanopore squiggle alignment for bacterial typing distinction enhancement
Features for automated tongue image shape classification
Probing Transmembrane Proteins Binding Domain via Multi-level Molecule Learning
Efficient updates of network motif instances in the extended protein-protein interaction network
Framework for Protein Structures Conformation Analysis
Few-Shot Knowledge Graph Completion based on Data Enhancement
Biomedical concept extraction using concept graphs and ontology-based mapping
Image-to-Image Orthodontics Transfer Employing Gray Level CO-Occurrence Matrix Loss
The Exploration of the Mechanism of Qiwei Baizhu San in the Treatment of Type 2 Diabetes Based on Network Pharmacology Integrating Macromolecular Docking
LLMs for Autism Treatment: Current Trends and Emerging Strategies
A morphometrics approach for inclusion of localised characteristics from medical imaging studies into genome-wide association studies
A computational model based on long short-term memory for predicting organellar genes in plastid genomes
Mode Collapse Alleviation of Reinforcement Learning-based GANs in Drug Design
Identifying functional modules in tissue specific protein interaction network
A General Fine-tuned Transfer Learning Model for Predicting Clinical Task Acrossing Diverse EHRs Datasets
Human Perception Mechanism based CNN-RNN Framework for Dimensional Emotion Recognition
Heterogeneous Information Network Based Clustering for Categorizations of Traditional Chinese Medicine Formula
Classifying Anxiety and Depression through LLMs Virtual Interactions: A Case Study with ChatGPT
Enhancing Depression Detection from Narrative Interviews Using Language Models
Shape-aware Multi-task Learning for Semi-supervised 3D Medical Image Segmentation
Drug response prediction for lung cancer patients using biophysical simulation and machine learning
Hypergraph regularized NMF by L2, 1-norm for Clustering and Com-abnormal Expression Genes Selection
An Enhanced Few-Shot Learning Method for Genomic Variant Detection
Study of colorimetrie parameters on normal tongue tip color under different standard illuminants
A Text Mining Approach to Discovering COVID-19 Relevant Factors
UMCL: Unified Medical Image-Text-Label Contrastive Learning With Continuous Prompt
DGEAHorNet: High-order Spatial Interaction Network with Dual Cross Global Efficient Attention for Skin Lesion Segmentation
A graph-based elastic net for variable selection and module identification for genomic data analysis
A novel saliency detection method via manifold ranking and compactness prior
Clinical Phrase Mining with Language Models
spGCLF: a versatile deep graph contrastive learning framework for spatial transcriptomics analysis
MRSMRS: Mining repetitive sequences in a MapReduce setting
Mutual Information Estimation-Based Disentangled Representation Network for Medical Image Fusion
Complex network approach for analyzing TCM clinical herb-symptom relationships
Deep learning for skin lesion segmentation
New approaches for better-informed decisions
An improved RL-based framework for multiple biomedical event extraction via self-supervised learning
Toward personalized pan-omic association analysis under complex structures and big data
PaRCL: Pathology-aware Representation Contrastive Learning for Glaucoma Classification on Fundus Images
Distributed gene clinical decision support system based on cloud computing
Pretraining Transformers for TCR-pMHC Binding Prediction
A topological AUC-based biomarker ensemble method for the complex disease analysis
Attention U-net for Interpretable Classification on Chest X-ray Image
Cox-PASNet: Pathway-based Sparse Deep Neural Network for Survival Analysis
Disentangling Disease-sensitive Multimodal Neuroimaging Phenotypes and Related Genetic Factors: A Multimodal Study of ADNI Cohort
Interesting things for computer systems to do: Keeping and data mining millions of patient records, guiding patients and physicians, and passing medical licensing exams
Clustering and topic modeling over tweets: A comparison over a health dataset
Deep Learning Based MS2 Feature Detection for Data-Independent Shotgun Proteomics
Therapeutic strategy to identify potential RAGE inhibitors against Alzheimer's disease: An in-silico approach
Spatio-temporal autoencoder for feature learning in patient data with missing observations
Artificial bee colony algorithm based on self-adjusting random grouping for high-order epistasis detection
Temporal Action-aware Network with Sequence Regularization for Phase Recognition
On a Survival Gradient Boosting, Neural Network and Cox PH Based Approach to Predicting Dementia Diagnosis Risk on ADNI
Critical protein detection in dynamic PPI networks with multi-source integrated deep belief nets
NanoStringBioNet: Integrated R framework for bioscience knowledge discovery from NanoString nCounter data
Recurrent Neural Network for Gene Regulation Network Construction on Time Series Expression Data
PV-SSM: Exploring Pure Visual State Space Model for High-dimensional Medical Data Analysis
A Prior Knowledge Intergrated Scheme for Detection and Segmentation of Lymphomas in 3D PET Images based on DBSCAN and GAs
Scalable biobanking: A modular electronic Honest Broker and Biorepository for integrated clinical, specimen and genomic research
DeAFusion: Detail-Aware Image Fusion for Whitematter Hyperintensity Segmentation