Jin Chen

Orcid: 0000-0001-6721-3199

Affiliations:
  • University of Kentucky, Department of Internal Medicine, KY, USA
  • Michigan State University, East Lansing, MI, USA


According to our database1, Jin Chen authored at least 58 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models.
IEEE J. Biomed. Health Informatics, July, 2023

DiffusionCT: Latent Diffusion Model for CT Image Standardization.
CoRR, 2023

Assessing Fairness of AlphaFold2 Prediction of Protein 3D Structures.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022
Correction to: Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation.
Briefings Bioinform., 2022

Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation.
Briefings Bioinform., 2022

UDA-CT: A General Framework for CT Image Standardization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

KIT-LSTM: Knowledge-guided Time-aware LSTM for Continuous Clinical Risk Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement.
Genom. Proteom. Bioinform., 2021

Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer.
CoRR, 2021

CT Image Harmonization for Enhancing Radiomics Studies.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Alzheimer's Disease Classification Using Genetic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

KGDAL: knowledge graph guided double attention LSTM for rolling mortality prediction for AKI-D patients.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

Cross-Vendor CT Image Data Harmonization Using CVH-CT.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Identifying Opioid Use Disorder from Longitudinal Healthcare Data using a Multi-stream Transformer.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Mining Relationships among Multiple Entities in Biological Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Predicting substance use disorder using long-term attention deficit hyperactivity disorder medication records in Truven.
Health Informatics J., 2020

ELMV: a Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values.
CoRR, 2020

STAN-CT: Standardizing CT Image using Generative Adversarial Network.
CoRR, 2020

Identifying emerging phenomenon in long temporal phenotyping experiments.
Bioinform., 2020

ELMV: an Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

STAN-CT: Standardizing CT Image using Generative Adversarial Networks.
Proceedings of the AMIA 2020, 2020

2019
MC-eLDA: Towards Pathogenesis Analysis in Traditional Chinese Medicine by Multi-Content Embedding LDA.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Insomnia Prediction Using Temporal Feature of Spindles.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Identifying Acute Kidney Injury Trajectory Phenotypes Associated with Hospital Mortality.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

A Knowledge Graph Enhanced Topic Modeling Approach for Herb Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2019

DoRC: Discovery of rare cells from ultra-large scRNA-seq data.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Joint Multi-Leaf Segmentation, Alignment, and Tracking for Fluorescence Plant Videos.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Predicting Substance Use Disorder in ADHD Patients using Long-Short Term Memory Model.
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

Chrysanthemum Abnormal Petal Type Classification using Random Forest and Over-sampling.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Identifying Representative Network Motifs for Inferring Higher-order Structure of Biological Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

OLIVER: A Tool for Visual Data Analysis on Longitudinal Plant Phenomics Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Enhancing Radiomic Features of CT Images using Generative Adversarial Network with Alternative Improvement.
Proceedings of the AMIA 2018, 2018

2017
A novel method to measure the semantic similarity of HPO terms.
Int. J. Data Min. Bioinform., 2017

PhenoCurve: capturing dynamic phenotype-environment relationships using phenomics data.
Bioinform., 2017

2016
Multi-modality imagery database for plant phenotyping.
Mach. Vis. Appl., 2016

Extending gene ontology with gene association networks.
Bioinform., 2016

Inter-functional analysis of high-throughput phenotype data by non-parametric clustering and its application to photosynthesis.
Bioinform., 2016

Growing Depth Image Superpixels for Foliage Modeling.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016

Measuring phenotype semantic similarity using Human Phenotype Ontology.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Joint Multi-Leaf Segmentation, Alignment and Tracking from Fluorescence Plant Videos.
CoRR, 2015

Measuring semantic similarities by combining gene ontology annotations and gene co-function networks.
BMC Bioinform., 2015

Plant photosynthesis phenomics data quality control.
Bioinform., 2015

Incremental Distributed Weighted Class Discriminant Analysis on Interval-Valued Emitter Parameters.
Proceedings of the Knowledge Science, Engineering and Management, 2015

A web tool for measuring gene semantic similarities by combining gene ontology and gene co-function networks.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

Improving biological significance of gene expression biclusters with key missing genes.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014
Wireless Spectrum Occupancy Prediction Based on Partial Periodic Pattern Mining.
IEEE Trans. Parallel Distributed Syst., 2014

An integrative approach for measuring semantic similarities using gene ontology.
BMC Syst. Biol., 2014

Towards integrative gene functional similarity measurement.
BMC Bioinform., 2014

Multi-leaf alignment from fluorescence plant images.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Multi-leaf tracking from fluorescence plant videos.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Functional approach to high-throughput plant growth analysis.
BMC Syst. Biol., 2013

Identifying cross-category relations in gene ontology and constructing genome-specific term association networks.
BMC Bioinform., 2013

2012
Detection and Decomposition: Treatment-induced Cyclic gene Expression Disruption in High-Throughput Time-Series Datasets.
J. Bioinform. Comput. Biol., 2012

Frequency-based time-series gene expression recomposition using PRIISM.
BMC Syst. Biol., 2012

Optimal timepoint sampling in high-throughput gene expression experiments.
Bioinform., 2012

Wireless Spectrum Occupancy Prediction Based on Partial Periodic Pattern Mining.
Proceedings of the 20th IEEE International Symposium on Modeling, 2012

Mining frequent partial periodic patterns in spectrum usage data.
Proceedings of the 20th IEEE International Workshop on Quality of Service, 2012


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