Kun Huang
Orcid: 0000-0002-8530-370XAffiliations:
- Indiana University School of Medicine, Department of Biostatistics & Health Data Science, USA
- The Ohio State University, Department of Computer Science and Engineering / Department of Biomedical Informatics, Columbus, OH, USA
- University of Illinois at Urbana-Champaign, IL, USA (former)
According to our database1,
Kun Huang
authored at least 104 papers
between 2002 and 2022.
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Bibliography
2022
A Deep Language Model for Symptom Extraction From Clinical Text and its Application to Extract COVID-19 Symptoms From Social Media.
IEEE J. Biomed. Health Informatics, 2022
Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data.
BMC Bioinform., 2022
SPCS: a spatial and pattern combined smoothing method for spatial transcriptomic expression.
Briefings Bioinform., 2022
Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images.
IEEE Trans. Medical Imaging, 2021
A Computational Framework to Analyze the Associations Between Symptoms and Cancer Patient Attributes Post Chemotherapy Using EHR Data.
IEEE J. Biomed. Health Informatics, 2021
Analyzing the symptoms in colorectal and breast cancer patients with or without type 2 diabetes using EHR data.
Health Informatics J., 2021
<i>BrcaSeg</i>: A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images.
Genom. Proteom. Bioinform., 2021
Genom. Proteom. Bioinform., 2021
Applying interpretable deep learning models to identify chronic cough patients using EHR data.
Comput. Methods Programs Biomed., 2021
TPSC: a module detection method based on topology potential and spectral clustering in weighted networks and its application in gene co-expression module discovery.
BMC Bioinform., 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
PASC CKD: revealing the progression trajectories of sustained COVID-19-related renal injury using real-world evidence.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis.
IEEE Trans. Medical Imaging, 2020
IEEE J. Biomed. Health Informatics, 2020
Medical Image Anal., 2020
Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters.
CoRR, 2020
PTR Explorer: An approach to identify and explore Post Transcriptional Regulatory mechanisms usingproteogenomics.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
Microsatellite Instability Prediction of Uterine Corpus Endometrial Carcinoma Based on H&E Histology Whole-Slide Imaging.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Generalized gene co-expression analysis via subspace clustering using low-rank representation.
BMC Bioinform., 2019
LAmbDA: label ambiguous domain adaptation dataset integration reduces batch effects and improves subtype detection.
Bioinform., 2019
Topological Methods for Visualization and Analysis of High Dimensional Single-Cell RNA Sequencing Data.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Identifying Symptom Clusters in Breast Cancer and Colorectal Cancer Patients using EHR Data.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
2018
Building trans-omics evidence: using imaging and 'omics' to characterize cancer profiles.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Network analysis of pseudogene-gene relationships: from pseudogene evolution to their functional potentials.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the AMIA 2018, 2018
2017
Predictive models for pressure ulcers from intensive care unit electronic health records using Bayesian networks.
BMC Medical Informatics Decis. Mak., 2017
annoPeak: a web application to annotate and visualize peaks from ChIP-seq/ChIP-exo-seq.
Bioinform., 2017
Proceedings of the 19th Eurographics Conference on Visualization, 2017
Integrative Analysis for Lung Adenocarcinoma Predicts Morphological Features Associated with Genetic Variations.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Mapping Neuronal Cell Types Using Integrative Multi-Species Modeling of Human and Mouse Single Cell RNA Sequencing.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
2016
Single-Cell Co-expression Analysis Reveals Distinct Functional Modules, Co-regulation Mechanisms and Clinical Outcomes.
PLoS Comput. Biol., 2016
Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types.
BMC Bioinform., 2016
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016
2015
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Identify Critical Genes in Development with Consistent H3K4me2 Patterns across Multiple Tissues.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Proceedings of the 6th ACM Conference on Bioinformatics, 2015
2014
2013 IEEE Scientific Visualization Contest Winner: Observing Genomics and Phenotypical Patterns in the Developing Mouse Brain.
IEEE Computer Graphics and Applications, 2014
iGPSe: A visual analytic system for integrative genomic based cancer patient stratification.
BMC Bioinform., 2014
Mining massive SNP data for identifying associated SNPs and uncovering gene relationships.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014
2013
Research and applications: Identifying survival associated morphological features of triple negative breast cancer using multiple datasets.
J. Am. Medical Informatics Assoc., 2013
Gene co-expression analysis predicts genetic aberration loci associated with colon cancer metastasis.
Int. J. Comput. Biol. Drug Des., 2013
Int. J. Comput. Biol. Drug Des., 2013
2012
Weighted Frequent Gene Co-expression Network Mining to Identify Genes Involved in Genome Stability.
PLoS Comput. Biol., 2012
Netw. Model. Anal. Health Informatics Bioinform., 2012
BMC Syst. Biol., 2012
A signal processing approach for enriched region detection in RNA polymerase II ChIP-seq data.
BMC Bioinform., 2012
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Non parametric cell nuclei segmentation based on a tracking over depth from 3D fluorescence confocal images.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Parallel Automatic Registration of Large Scale Microscopic Images on Multiprocessor CPUs and GPUs.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011
Acceleration of Two Point Correlation Function Calculation for Pathology Image Segmentation.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011
Chromatin signature analysis and prediction of genome-wide novel promoters using finite mixture model.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Predicting Parkinson's disease related genes using frequent gene co-expression analysis.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
Identifying smoking associated gene co-expression networks related to oral cancer initiation.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
2010
Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia.
BMC Bioinform., 2010
BMC Bioinform., 2010
Two-point correlation as a feature for histology images: Feature space structure and correlation updating.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
J. Signal Process. Syst., 2009
Tensor classification of N-point correlation function features for histology tissue segmentation.
Medical Image Anal., 2009
Robust 3D reconstruction and identification of dendritic spines from optical microscopy imaging.
Medical Image Anal., 2009
Feature-based registration of histopathology images with different stains: An application for computerized follicular lymphoma prognosis.
Comput. Methods Programs Biomed., 2009
Comparative study on ChIP-seq data: normalization and binding pattern characterization.
Bioinform., 2009
Using Frequent Co-expression Network to Identify Gene Clusters for Breast Cancer Prognosis.
Proceedings of the International Joint Conferences on Bioinformatics, 2009
A Comprehensive Analysis Workflow for Genome-Wide Screening Data from ChIP-Sequencing Experiments.
Proceedings of the Bioinformatics and Computational Biology, 2009
Enabling Data Analysis on High-Throughput Data in Large Data Depository Using Web-Based Analysis Platform - A Case Study on Integrating QUEST with GenePattern in Epigenetics Research.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009
2008
IEEE Trans. Vis. Comput. Graph., 2008
An imaging workflow for characterizing phenotypical change in large histological mouse model datasets.
J. Biomed. Informatics, 2008
Comput. Graph. Forum, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
IEEE Trans. Medical Imaging, 2007
Comput. Sci. Eng., 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
2006
IEEE Trans. Image Process., 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the Dynamical Vision, ICCV 2005 and ECCV 2006 Workshops, 2006
2005
XML database support for distributed execution of data-intensive scientific workflows.
SIGMOD Rec., 2005
Comput. Vis. Image Underst., 2005
Supporting Large Scale Medical and Scientific Datasets.
Proceedings of the Parallel Computing: Current & Future Issues of High-End Computing, 2005
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005
2004
On Symmetry and Multiple-View Geometry: Structure, Pose, and Calibration from a Single Image.
Int. J. Comput. Vis., 2004
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004
Proceedings of the 2004 International Conference on Image Processing, 2004
Tools for efficient subsetting and pipelined processing of large scale, distributed biomedical image data.
Proceedings of the Grid Computing: The New Frontier of High Performance Computing [post-proceedings of the High Performance Computing Workshop, 2004
Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004
Identification of hybrid linear time-invariant systems via subspace embedding and segmentation (SES).
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004
2003
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003
2002
Generalized Rank Conditions in Multiple View Geometry with Applications to Dynamical Scenes.
Proceedings of the Computer Vision, 2002