yusuke1997/dblp-id-title huggingface dataset:
GRNNLink: Predicting gene regulatory links from single-cell RNA-seq data using graph recurrent neural network
Optimizing Transformer and MLP with Hidden States Perturbation for Medical Visual Question Answering
Linking and querying genomic datasets using natural language
Rex: A toolset for reproducing software experiments
Robust hidden semi-Markov modeling of array CGH data
Hydrogen bonds meet self-attention: all you need for protein structure embedding
Identification of the expression, prognostic value and cancer immunity of Gasdermin E based on multi-omics data, machine learning and gene ontology
An Attention-based Label Mapping and Multi-factor Domain Adaptation Approach for ACS Prediction
Characterization of Long COVID using text mining on narrative medicine texts
Discovering functional gene pathways associated with cancer heterogeneity via sparse supervised learning
A New Classification Algorithm and a New Oversampling Method of Mapping Common Data Elements to the BRIDG Model
SAMMS: Multi-modality Deep Learning with the Foundation Model for the Prediction of Cancer Patient Survival
Distribution analysis of Pulmonary diseases in Traditional Chinese medicine based on FP-Growth algorithm
DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning
MFTEP: A Multimodal Fusion Deep Learning Framework for T Cell Receptor-epitope Interaction Prediction
Lung Disease Classification using Deep Convolutional Neural Network
Network-based gene prediction for TCM symptoms
On the reproducibility of biological image workflows by annotating computational results automatically
A Simplex Hypergraph Clustering Method for Detecting Higher-order Modules in Microbial Network
An Artificial Intelligence-Assisted Bronchial Automatic Identification Using Deep Learning Technique
An agent-based approach to predicting lymph node metastasis status in breast cancer
Selected aspects of electronic health record analysis from the big data perspective
Identifying diseases-related metabolites based on network
Quantifying and Removing Free-living Uncertainty for Effective Parkinson's Disease Diagnosis Using Smart Watch
The description of nanomaterials: A multi-disiciplinary uniform description system
Pathway Activity Autoencoders for Enhanced Omics Analysis and Clinical Interpretability
DCA: Densely Cross-scale Attention Network for Anatomically-plausible Medical Image Segmentation
Weakly Unpaired Image Translation from Hematoxylin and Eosin Staining Image to Immunohistochemistry Staining Image
Markov Guided Spatio-Temporal Networks for Brain Image Classification *
Brain MRI Segmentation using efficient 3D Fully Convolutional Neural Networks
High-resolution sample size enrichment of single-cell multi-modal low-throughput Patch-seq datasets
Combining GCN and Bi-LSTM for Protein Secondary Structure Prediction
A syntactic rule-based method for automatic pathway information extraction from biomédical literature
Automatic Extraction of Clinical Symptoms in Traditional Chinese Medicine for Electronic Medical Records
An Extracting Method of Symmetry Plane from Head CT images for Surgery Based on OBB and Image Mutual Information
Evaluating the relative value of care interventions based on clinical pathway variation detection and propensity score
Enhancing Risk Prediction in Mental Health Using Ensemble Hybrid Models and Administrative Healthcare Data with Irregular Intervals
Early illness recognition in older adults using transfer learning
A method of human motion reconstruction with sparse joints based on attention mechanism
An Effective Microbial-drug Relation Extraction Model Based on Dual Graph Convolutional Networks
A Novel Algorithm for Multi-class Cancer Diagnosis on MALDI-TOF Mass Spectra
Molecular Formula Image Segmentation with Shape Constraint Loss and Data Augmentation
Dysfunctional brain dynamics in Subjects with major depression: An EEG microstate spectral analysis
Probe Design for Compressive Sensing DNA Microarrays
Investigating Velopharyngeal Closure Force with Linear Regression
mEEG: A system for electroencephalogram data management and analysis
Evaluation of using a collective approach when selecting biomarker features from machine learning models
Acceleration of the Pair-HMM forward algorithm on FPGA with cloud integration for GATK
Discussion on themedication regularityand mechanismofancient prescriptionin treating hiccup basedon data miningand networkpharmacology
Coded Dynamic Consent framework using blockchain for healthcare information exchange
Prediction of PBMC Cell Types Using scRNAseq Reference Profiles
Towards the Design, Quality Assessment and Explainability of Synthetic Tabular Data Generation Techniques for Metabolic Syndrome Diagnosis
Resolution Enhancement of Diffusion-Weighted Images via Unified x-q Space Learning
Cascade SEIRD: Forecasting the Spread of COVID-19 with Dynamic Parameters Update
Learning Topological Representation of Sensor Network with Persistent Homology in HCI Systems
CCBox: Improving Box-supervised Nuclei Segmentation with Consistency Constraint
A framework for robust differential network modular structure discovery from RNA-seq data
MHSA: A Multi-scale Hypergraph Network for Mild Cognitive Impairment Detection via Synchronous and Attentive Fusion
CancerVis: An interactive exploratory tool for cancer biomarker analysis
Masked Modality Complementary Modeling for Brain Tumor Segmentation
Toward Depression Recognition Using EEG and Eye Tracking: An Ensemble Classification Model CBEM
Transformer-Based Gene Expression Levels Prediction Using Multimodal Information
Dive into Plane: Lightweight & Modular Linear Projection Cross-dimensional Network for Retinal Vessel Segmentation in OCTA Images
Extremal Optimization for the Protein Structure Alignment
Algorithms for inferring multiple microbial networks
Autonomic Dysfunction in Amyotrophic Lateral Sclerosis: Preliminary Insights from Insula Imaging and Heart Rate Variability Studies
An unsupervised deep learning framework for gene regulatory network inference from single-cell expression data
Virtual Doctor: The role, responsibilities, and counterparts of the general medical AI
Feature weighting for antimicrobial peptides classification: A multi-objective evolutionary approach
ImmPort: Shared research data for bioinformatics and immunology
Adaptive local learning in sampling based motion planning for protein folding
BayesImpute: a Bayesian imputation method for single-cell RNA-seq data
TR-index: Semantic Characterization for Non-invasive Fetal ECG Signal Quality Assessment
Learning Personal Food Preferences via Food Logs Embedding
Physicochemical Property-guided Conditional VAE for Antimicrobial Peptides Generation
Multigrid discretization method for PopZ polarization in Caulobacter cell cycle
Self-Supervised Learning with Heterogeneous Graph Neural Network for COVID-19 Drug Recommendation
A logistic regression based algorithm for identifying human disease genes
A common factor-analytic model for classification
Cerebrovascular Segmentation Algorithm Based on Focused Multi-Gaussians Model and Weighted 3D Markov Random Field
Scalable and Efficient Multigraph Integration with Sparse-Clustered Deep Graph Normalization
Augmenting LASSO regression with decision tree for identifying the correlation of genetic polymorphism and adverse events
NarratingSleep: A Language Model-Based Framework for Sleep Staging
A graph model and grammar for multi-scale modelling using XL
REPO-TRIAL: Common mechanism-based drug repurposing and endophenotyping
Packing protein side-chains by parallel ant colonies
Lymph Node Metastasis Classification Based on Semi-Supervised Multi-View Network
Learning-Disability Recognition by Using Sparse Spatio-Temporal Graph Neural Networks
Data Mining and Analysis of Prescription Rules for Plague in Ancient Books of Case Records of Qing Dynasty
Fully Convolutional Multi-Scale ScSE-DenseNet for Automatic Pneumothorax Segmentation in Chest Radiographs
Dynamic Curriculum Learning with Co-training for Medical Dialogue Generation
A Complex-Valued Dual-Domain Dilated Convolution Neural Network for Brain MRI Reconstruction
A novel framework based on network embedding for the simulation and analysis of disease progression
BioVLAB-MMIA: A Reconfigurable Cloud Computing Environment for microRNA and mRNA Integrated Analysis
RecSleepNet: An Automatic Sleep Staging Model Based on Feature Reconstruction
CEO a cloud epistasis computing model in GWAS
An Improved Method for Using Sample Entropy to Reveal Medical Information in Data from Continuously Monitored Physiological Signals
Application of Bayesian network in information fusion analysis of four diagnostic methods of traditional Chinese medicine
Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks
TexAnASD: Text Analytics for ASD Risk Gene Predictions
Enhancing Artifact Removal From Scalp EEG Using State-Wise Deep Convolutional Network
Context-Aware U-Net for Biomedical Image Segmentation
High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach
Assessment of Machine Learning Methods for Classification in Single Cell ATAC-seq
Shallow-Deep Synergy: Boosting Cross-Domain Generalization in Histopathological Image Segmentation
High Functional Coherence in k-Partite Protein Cliques of Protein Interaction Networks
Efficient GPU-accelerated extraction of imperfect inverted repeats from DNA sequences
Communities analysis in protein-protein interaction networks
Ultrasound Tongue Contour Extraction using Dilated Convolutional Neural Network
MuSCaKDE - Multi-Scale modeling of Carbamoylated collagen: Kernel Density Estimation applied from all atom to rigid body simulation
Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature
ccKOPLS: Confounder-correcting kernel-based orthogonal projections to latent structures
TransCaller: An End-to-end Accelerated Transformer-based Nanopore Basecaller on GPUs
NoSQL distributed database for DICOM objects
MEMO-stab: Sequence-based Annotation of Mutation Effect on Transmembrane Protein Stability with Protein Language Model-Driven Machine Learning
eIMES 3D mobile: A mobile application for diagnostic procedures
Reinforcement Learning for Enhancing Classifier Performance
IMRDriver: coding and non-coding cancer driver genes identification based on network propagation
Information Geometry Approach to Analyzing Simulated EEG Signals of Alzheimer's Disease Patients and Healthy Control Subjects
Attention and Frequency-Domain Fusion Network for Detecting Skeleton Edge Points in Ankle Joint Fracture Diagnosis
Fast Approximate Spectral Clustering via Adaptive Filtering of Random Graph Signals
Predicting Malignancy from Mammography Findings and Surgical Biopsies
Incremental wrapper based gene selection with Markov blanket
PMMVar: Leveraging Multi-level Protein Structures for Enhanced Coding Variant Pathogenicity Prediction
An Adaptive Segmentation Technique to Detect Brain Tumors Using 2D Unet
Multi-Scale Co-Attention Reinforced U-Net for Medical Image Segmentation
Zero-Shot Diagnosis of Unseen Pulmonary Diseases via Spatial Domain Adaptive Correction and Guidance by ChatGPT-4o
Seizure Forecasting from Subcutaneous EEG Using Long Short Term Memory Neural Networks: Algorithm Development and Optimization
Competitive pathway analysis using Structural Equation Models (CPA-SEM) for gene expression data
AProvBio: An architecture for data provenance in bioinformatics workflows using graph database
Prediction of the pro-longevity or anti-longevity effect of Caenorhabditis Elegans genes based on Bayesian classification methods
IMRT beam angle optimization using differential evolution
Large-scale Parallel Design for Cryo-EM Structure Determination on Heterogeneous Many-core Architectures
Cluster-based query expansion using language modeling in the biomedical domain
Graph Networks for Precision Medical Diagnostics and Treatment Optimization
The Potential Regulation Networks of A Core Formula of Chinese Medicine Against Insomnia
Probabilistic Partial Least Square Regression: A Robust Model for Quantitative Analysis of Raman Spectroscopy Data
ALLNet: A Hybrid Convolutional Neural Network to Improve Diagnosis of Acute Lymphocytic Leukemia (ALL) in White Blood Cells
Detecting adverse drug events with multiple representations of clinical measurements
A relevance-novelty combined model for genomics search result diversification
In Silico Target Portal: An integrated Oncology target discovery web portal
SeqMed: Recommending Medication Combination with Sequence Generative Adversarial Nets
A Graph Neural Network based fMRI classification
Alternate Interaction Multi-Task Hierarchical Model for Medical Images
Feature selection based on functional group structure for microRNA expression data analysis
DeepDualEPI: Predicting Promoter-Enhancer Interactions Based on DNA Sequence and Genomic Signals
Outlier Detection for Spotting Micro-expressions
MSSOrg: a multi-scale SSM-based model for organoid location and classification
Discovering a Biomechanical Prediction Model for Adolescent Idiopathic Scoliosis by Combining PINN with State Space Models
Mapping client messages to a unified data model with mixture feature embedding convolutional neural network
Chest Radiography Few-Shot Image Synthesis for Automated Pathology Screening Applications
Truncation of protein sequences for fast profile alignment with application to subcellular localization
An adaptive feature selection method for microarray data analysis
A Digital Mammograhpy and Digital Breast Tomosynthesis Combined Method for Breast Cancer Classification
Expanding Medical Knowledge: A Clinical Decision Support System Utilizing Literature
Computer-aided diagnosis of four common cutaneous diseases using deep learning algorithm
An exploration of semantic relations in neural word embeddings using extrinsic knowledge
Analysis of Protein Protein Dimeric Interfaces
Incorporating miRNA target sites in protein-coding RNA
Jueyin of six-meridian syndrome differentiation on Parkinson's disease
Predicting miRNA-disease association based on Hybrid Graph Autoencoder
Dual-Stream Neural Architecture for Integrative Analysis of Large Multimodal Model in Mood Disorder Classification
Cross-Domain Transfer in Residual Networks for Clinical Image Partitioning
Functional Gene Detection and Clustering from Seed Gene Sets
Trustworthy Enhanced Multi-view Multi-modal Alzheimer's Disease Prediction with Brain-wide Imaging Transcriptomics Data
2.5D ASF-UNet: Adjacent Slice Spatial Feature Fusion Model for WMH Segmentation from 3D MR Brain Image
IIESC-Net: Incorporating Implicit and Explicit Structural Constraints for Hip Joint Landmark Detection in pelvic X-ray
Leveraging Spectrum to Enhance the Accuracy of Retinal Layer Segmentation
Fully-Automated Patient-Agnostic Diabetes Management with Deep Reinforcement Learning
Towards Efficient Medical Dialogue Summarization with Compacting-Abstractive Model
Software framework for similarity-based prediction of protein interfaces
MultiP-SChlo: Multi-label protein subchloroplast localization prediction
Predicting of microbe-drug associations via a pre-completion-based label propagation algorithm
Novel image features for categorizing biomedical images
IBFNet: A Dual Auxiliary Branch Network for Multimodal Hidden Emotion Recognition
Quantitative models for statistical nucleosome occupancy prediction
SURFR: A Real-Time Platform for Non-Coding RNA Fragmentation Analysis Using Wavelets
Attention-Based Multi-Task Learning in Pharmacovigilance
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning
Modelling a network as a spring system to estimate edge vulnerability
Traditional Chinese medicine clinical records classification using knowledge-powered document embedding
Analysis of Multiplex Gene Expression Maps Obtained by Voxelation
Use CPET data to predict the intervention effect of aerobic exercise on young hypertensive patients
System evaluation of electro-acupuncture (EA) for functional constipation
Harnessing Transfer Learning for Dementia Prediction: Leveraging Sex-Different Mild Cognitive Impairment Prognosis
Gene Ontology aided Compound Protein Binding Affinity Prediction Using BERT Encoding
Predicting Lymph Node Metastasis and Distant Metastasis using Differential Correlations of miRNAs and Their Target RNAs in Cancer
An integrative network-driven pipeline for the prioritization of Alzheimer's disease genes
CorGAN: Context aware Recurrent Generative Adversarial Network for Medical Image Generation
Robust Composite Interval Mapping for QTL Analysis by Minimum beta-Divergence Method
A population-based evolutionary algorithm for sampling minima in the protein energy surface
Bayesian Network Approach to Modelling Nitrogen Utilization Efficiency of Dairy Cows
Identifying possible lncRNA-disease associations based on deep learning and positive-unlabeled learning
A multi-modal machine learning approach towards predicting patient readmission
Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs
RabbitQCPlus: More Efficient Quality Control for Sequencing Data
Walking in the PPI network to identify the risky SNP of osteoporosis with decision tree algorithm
Towards automatic sensor-based triage for individual remote monitoring during mass casualty incidents
Integrating phenotype-genotype data for prioritization of candidate symptom genes
Automated wound identification system based on image segmentation and Artificial Neural Networks
Silicone Oil-Water Interaction and Emulsification Visual Simulation for Intraocular Silicone Oil Tamponade
BioRank: A Similarity Assessment Method for Single Cell Clustering
A deep learning based scoring system for prioritizing susceptibility variants for mental disorders
Health tracking framework for Hajj pilgrims using electronic health records for Hajj
A Three-Step Framework for Automatically Registering Immunohistochemical and H&E Stained Whole Slide Images Targeting Clinical Applications
Automatic methods to extract New York heart association classification from clinical notes
Towards a generic platform for the self-management of chronic conditions
HNEDTI: Prediction of drug-target interaction based on heterogeneous network embedding
Segment Any Nuclei: A Prompt-free Segment Anything Model for Nuclei from Histology Image
Fuzzy Cognitive Map Decision Support for Aging in Place for the Elderly
AccSleepNet: An Axis-Aware Hybrid Deep Fusion Model for Sleep Stage Classification Using Wrist-Worn Accelerometer Data
Classifying continuous hand grips and movements using myoelectric and accelerometer signals
Automated Molecule Generation using Deep Q-Learning and Graph Neural Networks
Protein Functional Family Classification Based on Multilevel Feature Information
Parallel machine learning approaches for reverse engineering genome-scale networks
M-Finder: Functional association mining from protein interaction networks weighted by semantic similarity
Microarray Image Denoising Using a Two-Stage Multiresolution Technique
Calibration of Rule-Based Stochastic Biochemical Models using Statistical Model Checking
Alzheimer's Disease Diagnosis Using Enhanced Inception Network Based on Brain Magnetic Resonance Image
Multimodal classification of Parkinson's disease using delay differential analysis
Document Classification for Mining Host Pathogen Protein-Protein Interactions
SURFr: Algorithm for identification and analysis of ncRNA-derived RNAs
Survey of biological network alignment: cross-species analysis of conserved systems
NutriA: a Responsive Web App to Monitor Nutrition and Clinical Outcomes in Inflammatory Bowel Disease Patients
Online Multi-Instance Multi-Label learning for protein function prediction
Multi-omic data integration applied to molecular tumor classification
Explainable Pulmonary Disease Diagnosis with Prompt-Based Knowledge Extraction
On using Compressed Sensing and peak detection method for the Dynamic Instability parameters estimation for Microtubules modeled in three states
Explainability-guided Mathematical Model-Based Segmentation of Transrectal Ultrasound Images for Prostate Brachytherapy
Wavelet-based Multi-branch Convolutional Neural Network for Cross-individual ALS Disease Identification with EMG Signal
Generating More Knowledge from Our Data and More Value from Our Studies: The Value of Expert Information Science Skills
Predicting upper limb disability progression in primary progressive multiple sclerosis using machine learning and statistical methods
Spatial-Frequency Dual Domain Attention Network For Medical Image Segmentation
Storage Efficient Implementation of Standardized Electronic Health Records Data
LDCNN-DTI: A Novel Light Deep Convolutional Neural Network for Drug-Target Interaction Predictions
Integrated Local and Global Information for Health Risk Prediction Model
The research for digitalization of four great classical literatures of traditional Chinese medicine knowledge for clinic use
AC-CAM: Affinity-Aware Contrast CAM for Weakly-Supervised Semantic Segmentation on MRI Brain Tumor
BioRel: A Large-Scale Dataset for Biomedical Relation Extraction
Developing a Clustering Structure with Consideration of Cross-Domain Text Classification based on Deep Sparse Auto-encoder
An improved ensemble learning method with SMOTE for protein interaction hot spots prediction
iQuant: A fast yet accurate GUI tool for transcript quantification
A clustering algorithm for identifying hierarchical and overlapping protein complexes in large PPI networks
Self-distillation Augmented Masked Autoencoders for Histopathological Image Understanding
Secondary Structure-Guided Novel Protein Sequence Generation with Latent Graph Diffusion
On accurate, automated and insightful deviation analysis of clinical protocols
SEACOIN2.0: an interactive mining and visualization tool for information retrieval, summarization and knowledge discovery
Ensemble-based depression detection in speech
Comparative study of pulse-diagnosis signals between 2 kinds of liver disease patients based on the combination of unsupervised learning and supervised learning
Predicting protein functions through non-negative matrix factorization regularized by protein-protein interaction network and gene functional information
Transformer-Based Multi-Scale Fusion for Robust Predicting Microsatellite Instability from Pathological Images
MEGNet: A MEG-Based Deep Learning Model for Cognitive and Motor Imagery Classification
Recognizing Nested Named Entity in Biomedical Texts: A Neural Network Model with Multi-Task Learning
Using Quartets to Compare the NCD and MCMC Methods for Constructing Phylogenetic Trees
Muli-Task Dual-view Model for Drug Combination Analysis: In Vivo and In Vitro Perspectives
Mutual information mining for component law and development of new recipes for ankylosing spondylitis
Semantics-driven frequent data pattern mining on electronic health records for effective adverse drug event monitoring
Labor contraction prediction via demographic and obstetrical information analysis
Robust Metabolic Syndrome Risk Index Based on Triangular Areal Similarity
Intrinsic Disorder in Putative Protein Sequences
HMNPPID: A Database of Protein-protein Interactions Associated with Human Malignant Neoplasms
Joint learning of representations of medical concepts and words from EHR data
An integration of deep learning with feature fusion for protein-protein interaction prediction
Phenotyping Multiple Organ Dysfunction Syndrome Using Temporal Trends in Critically Ill Children
A Network of Simultaneous Segmentation and Registration for Right Ventricle MRI
Comparative study among three different artificial neural networks to infectious diarrhea forecasting
Individualized seizure cluster prediction using machine learning and ambulatory intracranial EEG
AiProAnnotator: Low-rank Approximation with network side information for high-performance, large-scale human Protein abnormality Annotator
Drug Repurposing Therapeutics Prediction using Hierarchical Graph Neural Network
Exploring the medication rule of traditional Chinese medicine for gastric ulcer based on data mining technology
An Artificial Intelligence-Based Framework for Supporting Management of Patients Affected by Dementia
Data integration in machine learning