Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKun Huang 0001
Person information
- affiliation: Indiana University School of Medicine, Department of Biostatistics & Health Data Science, USA
- affiliation: The Ohio State University, Department of Computer Science and Engineering / Department of Biomedical Informatics, Columbus, OH, USA
- affiliation (former): University of Illinois at Urbana-Champaign, IL, USA
Other persons with the same name
- Kun Huang — disambiguation page
- Kun Huang 0002
![[0000-0003-3298-991X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3298-991X")
— National University of Defense Technology, State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Changsha, China - Kun Huang 0003 — Chinese Academy of Sciences, Institute of Computing Technology, China (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j57]Yusong Liu, Tongxin Wang, Ben Duggan, Michael F. Sharpnack, Kun Huang, Jie Zhang, Xiufen Ye, Travis S. Johnson:
SPCS: a spatial and pattern combined smoothing method for spatial transcriptomic expression. Briefings Bioinform. 23(3) (2022)- [j56]Michael F. Sharpnack, Travis S. Johnson, Robert Chalkley, Zhi Han, David Carbone, Kun Huang, Kai He:
TSAFinder: exhaustive tumor-specific antigen detection with RNAseq. Bioinform. 38(9): 2422-2427 (2022) - [j55]Wei Shao, Xiao Luo, Zuoyi Zhang, Zhi Han, Vasu Chandrasekaran, Vladimir Turzhitsky, Vishal Bali, Anna R. Roberts, Megan Metzger, Jarod Baker, Carmen La Rosa, Jessica Weaver, Paul R. Dexter, Kun Huang:
Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data. BMC Bioinform. 23-S(3): 140 (2022) - [j54]Feng Gao, Kun Huang, Yi Xing:
Artificial Intelligence in Omics. Genom. Proteom. Bioinform. 20(5): 811-813 (2022) - [j53]Xiao Luo, Priyanka Gandhi, Susan Storey, Kun Huang:
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 26(4): 1737-1748 (2022) - [c48]Yingli Zuo, Yawen Wu, Zixiao Lu, Qi Zhu, Kun Huang, Daoqiang Zhang, Wei Shao:
Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors. MICCAI (2) 2022: 222-231 - 2021
- [j52]Yusong Liu, Xiufen Ye, Christina Y. Yu, Wei Shao, Jie Hou, Weixing Feng, Jie Zhang, Kun Huang:
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. 22-S(4): 111 (2021) - [j51]Xiao Luo, Priyanka Gandhi, Zuoyi Zhang, Wei Shao, Zhi Han, Vasu Chandrasekaran, Vladimir Turzhitsky, Vishal Bali, Anna R. Roberts, Megan Metzger, Jarod Baker, Carmen La Rosa, Jessica Weaver, Paul R. Dexter, Kun Huang:
Applying interpretable deep learning models to identify chronic cough patients using EHR data. Comput. Methods Programs Biomed. 210: 106395 (2021) - [j50]Zhi Huang, Zhi Han, Tongxin Wang, Wei Shao, Shunian Xiang, Paul Salama, Maher E. Rizkalla, Kun Huang, Jie Zhang:
TSUNAMI: Translational Bioinformatics Tool Suite for Network Analysis and Mining. Genom. Proteom. Bioinform. 19(6): 1023-1031 (2021) - [j49]Zixiao Lu, Xiaohui Zhan, Yi Wu, Jun Cheng, Wei Shao, Dong Ni, Zhi Han, Jie Zhang, Qianjin Feng, Kun Huang:
BrcaSeg: A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images. Genom. Proteom. Bioinform. 19(6): 1032-1042 (2021) - [j48]Xiao Luo, Susan Storey, Priyanka Gandhi, Zuoyi Zhang, Megan Metzger, Kun Huang:
Analyzing the symptoms in colorectal and breast cancer patients with or without type 2 diabetes using EHR data. Health Informatics J. 27(1): 146045822110007 (2021) - [j47]Xiao Luo, Priyanka Gandhi, Susan Storey, Zuoyi Zhang, Zhi Han, Kun Huang:
A Computational Framework to Analyze the Associations Between Symptoms and Cancer Patient Attributes Post Chemotherapy Using EHR Data. IEEE J. Biomed. Health Informatics 25(11): 4098-4109 (2021) - [j46]Wei Shao, Tongxin Wang, Zhi Huang, Zhi Han, Jie Zhang, Kun Huang:
Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images. IEEE Trans. Medical Imaging 40(12): 3739-3747 (2021) - [c47]Jing Su, Pengyue Zhang, Zuoyi Zhang, Michael Eadon, Xiaochun Li, Tian He, Stanley Taylor, Travis Johnson, Zhaorui Liu, Ziyang Tang, Baijian Yang, Qianqian Song, Kun Huang:
PASC CKD: revealing the progression trajectories of sustained COVID-19-related renal injury using real-world evidence. AMIA 2021 - [c46]Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang:
Towards Fair Cross-Domain Adaptation via Generative Learning. WACV 2021: 454-463 - 2020
- [j45]Wei Shao, Tongxin Wang, Liang Sun, Tianhan Dong, Zhi Han, Zhi Huang, Jie Zhang, Daoqiang Zhang, Kun Huang:
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers. Medical Image Anal. 65: 101795 (2020) - [j44]Andreas S. Panayides, Amir A. Amini, Nenad D. Filipovic, Ashish Sharma, Sotirios A. Tsaftaris, Alistair A. Young, David J. Foran, Nhan Do, Spyretta Golemati, Tahsin M. Kurç, Kun Huang, Konstantina S. Nikita, Ben P. Veasey, Michalis E. Zervakis, Joel H. Saltz, Constantinos S. Pattichis:
AI in Medical Imaging Informatics: Current Challenges and Future Directions. IEEE J. Biomed. Health Informatics 24(7): 1837-1857 (2020) - [j43]Wei Shao, Kun Huang, Zhi Han, Jun Cheng, Liang Cheng, Tongxin Wang, Liang Sun, Zixiao Lu, Jie Zhang, Daoqiang Zhang:
Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis. IEEE Trans. Medical Imaging 39(1): 99-110 (2020) - [c45]Tongxin Wang, Weijia Lu, Fan Yang, Li Liu, Zhongyi Dong, Weimin Tang, Jia Chang, Wenjing Huan, Kun Huang, Jianhua Yao:
Microsatellite Instability Prediction of Uterine Corpus Endometrial Carcinoma Based on H&E Histology Whole-Slide Imaging. ISBI 2020: 1289-1292 - [c44]Arunima Srivastava, Michael F. Sharpnack, Kun Huang, Parag Mallick, Raghu Machiraju:
PTR Explorer: An approach to identify and explore Post Transcriptional Regulatory mechanisms usingproteogenomics. PSB 2020: 475-486 - [i4]Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang:
Towards Fair Cross-Domain Adaptation via Generative Learning. CoRR abs/2003.02366 (2020) - [i3]Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma:
Learning to Parse Wireframes in Images of Man-Made Environments. CoRR abs/2007.07527 (2020) - [i2]Zhi Huang, Paul Salama, Wei Shao, Jie Zhang, Kun Huang:
Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters. CoRR abs/2008.03776 (2020)
2010 – 2019
- 2019
- [j42]Hao Ding, Michael F. Sharpnack, Chao Wang, Kun Huang, Raghu Machiraju:
Integrative cancer patient stratification via subspace merging. Bioinform. 35(10): 1653-1659 (2019) - [j41]Travis S. Johnson, Tongxin Wang, Zhi Huang, Christina Y. Yu, Yi Wu, Yatong Han, Yan Zhang, Kun Huang, Jie Zhang:
LAmbDA: label ambiguous domain adaptation dataset integration reduces batch effects and improves subtype detection. Bioinform. 35(22): 4696-4706 (2019) - [j40]Tongxin Wang, Jie Zhang, Kun Huang:
Generalized gene co-expression analysis via subspace clustering using low-rank representation. BMC Bioinform. 20-S(7): 17-27 (2019) - [j39]Zachary B. Abrams, Travis S. Johnson, Kun Huang, Philip R. O. Payne, Kevin R. Coombes:
A protocol to evaluate RNA sequencing normalization methods. BMC Bioinform. 20-S(24): 679 (2019) - [j38]Sundaresan Raman, Shantanu Singh, Thierry Pécot, Enrico Caserta, Kun Huang, Jens Rittscher, Gustavo Leone, Raghu Machiraju:
Capturing variations in nuclear phenotypes. J. Comput. Sci. 36 (2019) - [c43]Priyanka Gandhi, Xiao Luo, Susan Storey, Zuoyi Zhang, Zhi Han, Kun Huang:
Identifying Symptom Clusters in Breast Cancer and Colorectal Cancer Patients using EHR Data. BCB 2019: 405-413 - [c42]Wei Shao, Tongxin Wang, Zhi Huang, Jun Cheng, Zhi Han, Daoqiang Zhang, Kun Huang:
Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma. MICCAI (4) 2019: 113-121 - [c41]Tongxin Wang, Travis S. Johnson, Jie Zhang, Kun Huang:
Topological Methods for Visualization and Analysis of High Dimensional Single-Cell RNA Sequencing Data. PSB 2019: 350-361 - 2018
- [j37]Xing Tang, Arunima Srivastava, Huayang Liu, Raghu Machiraju, Kun Huang, Gustavo Leone:
annoPeak: a web application to annotate and visualize peaks from ChIP-seq/ChIP-exo-seq. Bioinform. 34(16): 2879 (2018) - [c40]Jun Cheng, Zhi Han, Qianjin Feng, Liang Cheng, Jie Zhang, Kun Huang:
Genetic Mutations Associated with Histopathology Changes in Kidney Cancer. AMIA 2018 - [c39]Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma:
Learning to Parse Wireframes in Images of Man-Made Environments. CVPR 2018: 626-635 - [c38]Wei Shao, Jun Cheng, Liang Sun, Zhi Han, Qianjin Feng, Daoqiang Zhang, Kun Huang:
Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer. MICCAI (2) 2018: 648-656 - [c37]Heng Huang, Li Shen, Paul M. Thompson, Kun Huang, Junzhou Huang, Lin Yang:
Session introduction. PSB 2018: 304-306 - [c36]Arunima Srivastava, Chaitanya Kulkarni, Parag Mallick, Kun Huang, Raghu Machiraju:
Building trans-omics evidence: using imaging and 'omics' to characterize cancer profiles. PSB 2018: 377-388 - [c35]Travis S. Johnson, Sihong Li, Jonathan R. Kho, Kun Huang, Yan Zhang:
Network analysis of pseudogene-gene relationships: from pseudogene evolution to their functional potentials. PSB 2018: 536-547 - 2017
- [j36]Xing Tang, Arunima Srivastava, Huayang Liu, Raghu Machiraju, Kun Huang, Gustavo Leone:
annoPeak: a web application to annotate and visualize peaks from ChIP-seq/ChIP-exo-seq. Bioinform. 33(10): 1570-1571 (2017) - [j35]Pacharmon Kaewprag, Cheryl Newton, Brenda Vermillion, Sookyung Hyun, Kun Huang, Raghu Machiraju:
Predictive models for pressure ulcers from intensive care unit electronic health records using Bayesian networks. BMC Medical Informatics Decis. Mak. 17(2): 81-91 (2017) - [c34]Chao Wang, Hai Su, Lin Yang, Kun Huang:
Integrative Analysis for Lung Adenocarcinoma Predicts Morphological Features Associated with Genetic Variations. PSB 2017: 82-93 - [c33]Travis S. Johnson, Zachary B. Abrams, Yan Zhang, Kun Huang:
Mapping Neuronal Cell Types Using Integrative Multi-Species Modeling of Human and Mouse Single Cell RNA Sequencing. PSB 2017: 599-610 - [c32]Qihang Li, Kun Huang, Raghu Machiraju:
Spatiotemporal Visualization of Gene Expression in the Developing Mouse Brain. EuroVis (Short Papers) 2017: 121-125 - 2016
- [j34]Nan Meng, Raghu Machiraju, Kun Huang:
Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types. BMC Bioinform. 17(S-17): 291-303 (2016) - [j33]Jie Wang, Shuli Xia, Brian Arand, Heng Zhu, Raghu Machiraju, Kun Huang, Hongkai Ji, Jiang Qian:
Single-Cell Co-expression Analysis Reveals Distinct Functional Modules, Co-regulation Mechanisms and Clinical Outcomes. PLoS Comput. Biol. 12(4) (2016) - [c31]Kelly Regan, Zachary B. Abrams, Michael F. Sharpnack, Arunima Srivastava, Kun Huang, Nigam Shah, Philip R. O. Payne:
Session Introduction. PSB 2016: 1-8 - 2015
- [j32]Hao Ding, Chao Wang, Kun Huang, Raghu Machiraju:
GRAPHIE: graph based histology image explorer. BMC Bioinform. 16(S11): S10 (2015) - [j31]Dong Xu, Kun Huang, Jeanette Schmidt:
Guest Editors Introduction to the Special Issue on Software and Databases. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 793-794 (2015) - [j30]Nan Meng, Raghu Machiraju, Kun Huang:
Identify Critical Genes in Development with Consistent H3K4me2 Patterns across Multiple Tissues. IEEE ACM Trans. Comput. Biol. Bioinform. 12(5): 1104-1111 (2015) - [c30]Ayat Hatem, Kamer Kaya, Jeffrey D. Parvin, Kun Huang, Ümit V. Çatalyürek:
MICA: MicroRNA integration for active module discovery. BCB 2015: 136-145 - 2014
- [j29]Hao Ding, Chao Wang, Kun Huang, Raghu Machiraju:
iGPSe: A visual analytic system for integrative genomic based cancer patient stratification. BMC Bioinform. 15: 203 (2014) - [j28]Qihang Li, Gabriel Zachmann, David Feng, Kun Huang, Raghu Machiraju:
2013 IEEE Scientific Visualization Contest Winner: Observing Genomics and Phenotypical Patterns in the Developing Mouse Brain. IEEE Computer Graphics and Applications 34(5): 88-97 (2014) - [j27]A. Yates, Amy Webb, Michael F. Sharpnack, H. Chamberlin, Kun Huang, Raghu Machiraju:
Visualizing Multidimensional Data with Glyph SPLOMs. Comput. Graph. Forum 33(3): 301-310 (2014) - [c29]Amy Webb, Aaron Albin, Zhan Ye, Majid Rastegar-Mojarad, Kun Huang, Jeffrey D. Parvin, Wolfgang Sadee, Lang Li, Simon M. Lin, Yang Xiang:
Mining massive SNP data for identifying associated SNPs and uncovering gene relationships. BCB 2014: 304-313 - [i1]Hao Ding, Chao Wang, Kun Huang, Raghu Machiraju:
iGPSe: A Visual Analytic System for Integrative Genomic Based Cancer Patient Stratification. CoRR abs/1407.2107 (2014) - 2013
- [j26]Vikram Kalluru, Raghu Machiraju, Kun Huang:
Identify condition-specific gene co-expression networks. Int. J. Comput. Biol. Drug Des. 6(1/2): 50-59 (2013) - [j25]Jie Zhang, Shiwei Ni, Yang Xiang, Jeffrey D. Parvin, Yufeng Yang, Yongjian Zhou, Kun Huang:
Gene co-expression analysis predicts genetic aberration loci associated with colon cancer metastasis. Int. J. Comput. Biol. Drug Des. 6(1/2): 60-71 (2013) - [j24]Chao Wang, Thierry Pécot, Debra L. Zynger, Raghu Machiraju, Charles L. Shapiro, Kun Huang:
Research and applications: Identifying survival associated morphological features of triple negative breast cancer using multiple datasets. J. Am. Medical Informatics Assoc. 20(4): 680-687 (2013) - 2012
- [j23]Zhi Han, Lu Tian, Thierry Pécot, Tim Hui-Ming Huang, Raghu Machiraju, Kun Huang:
A signal processing approach for enriched region detection in RNA polymerase II ChIP-seq data. BMC Bioinform. 13(S-2): S2 (2012) - [j22]Pengyue Zhang, Raphaël Mourad, Yang Xiang, Kun Huang, Tim Hui-Ming Huang, Kenneth P. Nephew, Yunlong Liu, Lang Li:
A dynamic time order network for time-series gene expression data analysis. BMC Syst. Biol. 6(S-3): S9 (2012) - [j21]Yang Xiang, David Fuhry, Kamer Kaya, Ruoming Jin, Ümit V. Çatalyürek, Kun Huang:
Merging network patterns: a general framework to summarize biomedical network data. Netw. Model. Anal. Health Informatics Bioinform. 1(3): 103-116 (2012) - [j20]Jie Zhang, Kewei Lu, Yang Xiang, Muhtadi Islam, Shweta Kotian, Zeina Kais, Cindy Lee, Mansi Arora, Hui-wen Liu, Jeffrey D. Parvin, Kun Huang:
Weighted Frequent Gene Co-expression Network Mining to Identify Genes Involved in Genome Stability. PLoS Comput. Biol. 8(8) (2012) - [c28]Thierry Pécot, Shantanu Singh, Enrico Caserta, Kun Huang, Raghu Machiraju, Gustavo Leone:
Non parametric cell nuclei segmentation based on a tracking over depth from 3D fluorescence confocal images. ISBI 2012: 170-173 - [c27]Yang Xiang, David Fuhry, Ruoming Jin, Ye Zhao, Kun Huang:
Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery. PAKDD (1) 2012: 505-516 - 2011
- [j19]Hatice Gulcin Ozer, Yi-Wen Huang, Jiejun Wu, Jeffrey D. Parvin, Tim Hui-Ming Huang, Kun Huang:
Comparing Multiple Chip-Sequencing Experiments. J. Bioinform. Comput. Biol. 9(2): 269-282 (2011) - [c26]Jie Zhang, Thomas Knobloch, Jeffrey D. Parvin, Christopher Weghorst, Kun Huang:
Identifying smoking associated gene co-expression networks related to oral cancer initiation. BIBM Workshops 2011: 1039-1041 - [c25]Jie Zhang, Shiwei Ni, Jeffrey D. Parvin, Yufeng Yang, Kun Huang:
Predicting Parkinson's disease related genes using frequent gene co-expression analysis. BIBM Workshops 2011: 1042-1044 - [c24]Cenny Taslim, Shili Lin, Kun Huang, Tim Hui-Ming Huang:
Chromatin signature analysis and prediction of genome-wide novel promoters using finite mixture model. GENSiPS 2011: 13-16 - [c23]Lee A. D. Cooper, Joel H. Saltz, Ümit V. Çatalyürek, Kun Huang:
Acceleration of Two Point Correlation Function Calculation for Pathology Image Segmentation. HISB 2011: 174-181 - [c22]Lee A. D. Cooper, Kun Huang, Manuel Ujaldon:
Parallel Automatic Registration of Large Scale Microscopic Images on Multiprocessor CPUs and GPUs. IPDPS Workshops 2011: 1367-1376 - [c21]Shantanu Singh, Firdaus Janoos, Thierry Pécot, Enrico Caserta, Kun Huang, Jens Rittscher, Gustavo Leone, Raghu Machiraju:
Non-parametric Population Analysis of Cellular Phenotypes. MICCAI (2) 2011: 343-351 - 2010
- [j18]Philip R. O. Payne, Kun Huang, Kristin Keen-Circle, Abhisek Kundu, Jie Zhang, Tara Borlawsky:
Multi-dimensional discovery of biomarker and phenotype complexes. BMC Bioinform. 11(S-9): S3 (2010) - [j17]Jie Zhang, Yang Xiang, Liya Ding, Kristin Keen-Circle, Tara Borlawsky, Hatice Gulcin Ozer, Ruoming Jin, Philip R. O. Payne, Kun Huang:
Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia. BMC Bioinform. 11(S-9): S5 (2010) - [c20]Lee A. D. Cooper, Joel H. Saltz, Raghu Machiraju, Kun Huang:
Two-point correlation as a feature for histology images: Feature space structure and correlation updating. CVPR Workshops 2010: 79-86
2000 – 2009
- 2009
- [j16]Cenny Taslim, Jiejun Wu, Pearlly Yan, Greg Singer, Jeffrey D. Parvin, Tim Hui-Ming Huang, Shili Lin, Kun Huang:
Comparative study on ChIP-seq data: normalization and binding pattern characterization. Bioinform. 25(18): 2334-2340 (2009) - [j15]Lee A. D. Cooper, Olcay Sertel, Jun Kong, Gerard Lozanski, Kun Huang, Metin N. Gurcan:
Feature-based registration of histopathology images with different stains: An application for computerized follicular lymphoma prognosis. Comput. Methods Programs Biomed. 96(3): 182-192 (2009) - [j14]Kishore Mosaliganti, Firdaus Janoos, M. Okan Irfanoglu, Randall Ridgway, Raghu Machiraju, Kun Huang, Joel H. Saltz, Gustavo Leone, Michael C. Ostrowski:
Tensor classification of N-point correlation function features for histology tissue segmentation. Medical Image Anal. 13(1): 156-166 (2009) - [j13]Firdaus Janoos, Kishore Mosaliganti, Xiaoyin Xu, Raghu Machiraju, Kun Huang, Stephen T. C. Wong:
Robust 3D reconstruction and identification of dendritic spines from optical microscopy imaging. Medical Image Anal. 13(1): 167-179 (2009) - [j12]Antonio Ruiz, Manuel Ujaldon, Lee A. D. Cooper, Kun Huang:
Non-rigid Registration for Large Sets of Microscopic Images on Graphics Processors. J. Signal Process. Syst. 55(1-3): 229-250 (2009) - [c19]Terry Camerlengo, Hatice Gulcin Ozer, Pearlly Yan, Jeffrey D. Parvin, Tim Hui-Ming Huang, Kun Huang, Mingxiang Teng, Lang Li, Yunlong Liu, Francisco Perez, Tahsin M. Kurç:
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. BIBM 2009: 392-395 - [c18]Hatice Gulcin Ozer, Doruk Bozdag, Terry Camerlengo, Jiejun Wu, Yi-Wen Huang, Timothy D. R. Hartley, Jeffrey D. Parvin, Tim Hui-Ming Huang, Ümit V. Çatalyürek, Kun Huang:
A Comprehensive Analysis Workflow for Genome-Wide Screening Data from ChIP-Sequencing Experiments. BICoB 2009: 320-330 - [c17]Jie Zhang, Kun Huang, Yang Xiang, Ruoming Jin:
Using Frequent Co-expression Network to Identify Gene Clusters for Breast Cancer Prognosis. IJCBS 2009: 428-434 - 2008
- [j11]Kishore Mosaliganti, Raghu Machiraju, Kun Huang, Gustavo Leone:
Geometry-driven Visualization of Microscopic Structures in Biology. Comput. Graph. Forum 27(3): 871-878 (2008) - [j10]Kishore Mosaliganti, Tony Pan, Randall Ridgway, Richard Sharp, Lee A. D. Cooper, Alex Gulacy, Ashish Sharma, M. Okan Irfanoglu, Raghu Machiraju, Tahsin M. Kurç, Alain de Bruin, Pamela Wenzel, Gustavo Leone, Joel H. Saltz, Kun Huang:
An imaging workflow for characterizing phenotypical change in large histological mouse model datasets. J. Biomed. Informatics 41(6): 863-873 (2008) - [j9]Kishore Mosaliganti, Lee A. D. Cooper, Richard Sharp, Raghu Machiraju, Gustavo Leone, Kun Huang, Joel H. Saltz:
Reconstruction of Cellular Biological Structures from Optical Microscopy Data. IEEE Trans. Vis. Comput. Graph. 14(4): 863-876 (2008) - [c16]Kishore Mosaliganti, Raghu Machiraju, Kun Huang:
Geometry-driven visualization of microscopic structures in biology. ISBI 2008: 828-831 - 2007
- [j8]Richard Sharp, Randall Ridgway, Kishore Mosaliganti, Pamela Wenzel, Tony Pan, Alain de Bruin, Raghu Machiraju, Kun Huang, Gustavo Leone, Joel H. Saltz:
Volume Rendering Phenotype Differences in Mouse Placenta Microscopy Data. Comput. Sci. Eng. 9(1): 38-47 (2007) - [j7]Kishore Mosaliganti, Firdaus Janoos, Richard Sharp, Randall Ridgway, Raghu Machiraju, Kun Huang, Pamela Wenzel, Alain de Bruin, Gustavo Leone, Joel H. Saltz:
Detection and Visualization of Surface-Pockets to Enable Phenotyping Studies. IEEE Trans. Medical Imaging 26(9): 1283-1290 (2007) - [c15]Antonio Ruiz, Manuel Ujaldon, Jose Antonio Andrades, Jose Becerra, Kun Huang, Tony Pan, Joel H. Saltz:
The GPU on biomedical image processing for color and phenotype analysis. BIBE 2007: 1124-1128 - [c14]Firdaus Janoos, M. Okan Irfanoglu, Kishore Mosaliganti, Raghu Machiraju, Kun Huang, Pamela Wenzel, Alain de Bruin, Gustavo Leone:
Multi-Resolution Image Segmentation Using the 2-Point Correlation Functions. ISBI 2007: 300-303 - 2006
- [j6]Wei Hong, John Wright, Kun Huang, Yi Ma:
Multiscale Hybrid Linear Models for Lossy Image Representation. IEEE Trans. Image Process. 15(12): 3655-3671 (2006) - [c13]Lee A. D. Cooper, Jun Liu, Kun Huang:
Spatial Segmentation of Temporal Texture Using Mixture Linear Models. WDV 2006: 142-150 - [c12]Jeff Prescott, Matthew Clary, Gregory J. Wiet, Tony Pan, Kun Huang:
Automatic registration of large set of microscopic images using high-level features. ISBI 2006: 1284-1287 - [c11]Kishore Mosaliganti, Tony Pan, Richard Sharp, Randall Ridgway, Srivathsan Iyengar, Alexandra Gulacy, Pamela Wenzel, Alain de Bruin, Raghu Machiraju, Kun Huang, Gustavo Leone, Joel H. Saltz:
Registration and 3D visualization of large microscopy images. Medical Imaging: Image Processing 2006: 61442V - 2005
- [j5]Allen Y. Yang, Kun Huang, Shankar R. Rao, Wei Hong, Yi Ma:
Symmetry-based 3-D reconstruction from perspective images. Comput. Vis. Image Underst. 99(2): 210-240 (2005) - [j4]Kun Huang, Wei Hong, Yi Ma:
Symmetry-based photo-editing. Pattern Recognit. 38(6): 825-834 (2005) - [j3]Shannon Hastings, Matheus Ribeiro, Stephen Langella, Scott Oster, Ümit V. Çatalyürek, Tony Pan, Kun Huang, Renato Ferreira, Joel H. Saltz, Tahsin M. Kurç:
XML database support for distributed execution of data-intensive scientific workflows. SIGMOD Rec. 34(3): 50-55 (2005) - [c10]Wei Hong, John Wright, Kun Huang, Yi Ma:
A Multi-Scale Hybrid Linear Model for Lossy Image Representation. ICCV 2005: 764-771 - [c9]Ümit V. Çatalyürek, Shannon Hastings, Kun Huang, Vijay S. Kumar, Tahsin M. Kurç, Stephen Langella, Sivaramakrishnan Narayanan, Scott Oster, Tony Pan, Benjamin Rutt, Xi Zhang, Joel H. Saltz:
Supporting Large Scale Medical and Scientific Datasets. PARCO 2005: 3-14 - 2004
- [j2]Yi Ma, Kun Huang, René Vidal, Jana Kosecka, Shankar Sastry:
Rank Conditions on the Multiple-View Matrix. Int. J. Comput. Vis. 59(2): 115-137 (2004) - [j1]Wei Hong, Allen Y. Yang, Kun Huang, Yi Ma:
On Symmetry and Multiple-View Geometry: Structure, Pose, and Calibration from a Single Image. Int. J. Comput. Vis. 60(3): 241-265 (2004) - [c8]Kun Huang, Andrew Wagner, Yi Ma:
Identification of hybrid linear time-invariant systems via subspace embedding and segmentation (SES). CDC 2004: 3227-3234 - [c7]Kun Huang, Yi Ma, René Vidal:
Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications. CVPR (2) 2004: 631-638 - [c6]Matheus Ribeiro, Tahsin M. Kurç, Tony Pan, Kun Huang, Ümit V. Çatalyürek, Xi Zhang, Stephen Langella, Shannon Hastings, Scott Oster, Renato Ferreira, Joel H. Saltz:
Tools for efficient subsetting and pipelined processing of large scale, distributed biomedical image data. High Performance Computing Workshop 2004: 403-422 - [c5]