Generalized Rank Conditions in Multiple View Geometry with Applications to Dynamical Scenes. - Kun Huang 001; Robert M. Fossum; Yi Ma 001 (ECCV (2), 2002)

Geometric Segmentation of Perspective Images Based on Symmetry Groups. - Allen Y. Yang; Shankar R. Rao; Kun Huang 001; Wei Hong 003; Yi Ma 001 (ICCV, 2003)

Identification of hybrid linear time-invariant systems via subspace embedding and segmentation (SES). - Kun Huang 001; Andrew Wagner; Yi Ma 001 (CDC, 2004)

Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications. - Kun Huang 001; Yi Ma 001; René Vidal (CVPR (2), 2004)

Tools for efficient subsetting and pipelined processing of large scale, distributed biomedical image data. - Matheus Ribeiro; Tahsin M. Kurç; Tony Pan; Kun Huang 001; Ümit V. Çatalyürek; Xi Zhang; Stephen Langella; Shannon Hastings; Scott Oster; Renato Ferreira 001; Joel H. Saltz (High Performance Computing Workshop, 2004)

Sparse representation of images with hybrid linear models. - Kun Huang 001; Allen Y. Yang; Yi Ma 001 (ICIP, 2004)

Large-baseline Matching and Reconstruction from Symmetry Cells. - Kun Huang 001; Allen Y. Yang; Wei Hong 003; Yi Ma 001 (ICRA, 2004)

On Symmetry and Multiple-View Geometry: Structure, Pose, and Calibration from a Single Image. - Wei Hong 003; Allen Y. Yang; Kun Huang 001; Yi Ma 001 (Int. J. Comput. Vis., 2004)

Rank Conditions on the Multiple-View Matrix. - Yi Ma 001; Kun Huang 001; René Vidal; Jana Kosecka; Shankar Sastry 001 (Int. J. Comput. Vis., 2004)

A Multi-Scale Hybrid Linear Model for Lossy Image Representation. - Wei Hong 003; John Wright 001; Kun Huang 001; Yi Ma 001 (ICCV, 2005)

Supporting Large Scale Medical and Scientific Datasets. - Ümit V. Çatalyürek; Shannon Hastings; Kun Huang 001; Vijay S. Kumar; Tahsin M. Kurç; Stephen Langella; Sivaramakrishnan Narayanan; Scott Oster; Tony Pan; Benjamin Rutt; Xi Zhang; Joel H. Saltz (PARCO, 2005)

Symmetry-based 3-D reconstruction from perspective images. - Allen Y. Yang; Kun Huang 001; Shankar R. Rao; Wei Hong 003; Yi Ma 001 (Comput. Vis. Image Underst., 2005)

Symmetry-based photo-editing. - Kun Huang 001; Wei Hong 003; Yi Ma 001 (Pattern Recognit., 2005)

XML database support for distributed execution of data-intensive scientific workflows. - Shannon Hastings; Matheus Ribeiro; Stephen Langella; Scott Oster; Ümit V. Çatalyürek; Tony Pan; Kun Huang 001; Renato Ferreira 001; Joel H. Saltz; Tahsin M. Kurç (SIGMOD Rec., 2005)

Spatial Segmentation of Temporal Texture Using Mixture Linear Models. - Lee Cooper 001; Jun Liu 043; Kun Huang 001 (WDV, 2006)

Automatic registration of large set of microscopic images using high-level features. - Jeff Prescott; Matthew Clary; Gregory J. Wiet; Tony Pan; Kun Huang 001 (ISBI, 2006)

Registration and 3D visualization of large microscopy images. - Kishore Mosaliganti; Tony Pan; Richard Sharp; Randall Ridgway; Srivathsan Iyengar; Alexandra Gulacy; Pamela Wenzel; Alain de Bruin; Raghu Machiraju; Kun Huang 001; Gustavo Leone; Joel H. Saltz (Image Processing, 2006)

Multiscale Hybrid Linear Models for Lossy Image Representation. - Wei Hong 003; John Wright 001; Kun Huang 001; Yi Ma 001 (IEEE Trans. Image Process., 2006)

The GPU on biomedical image processing for color and phenotype analysis. - Antonio Ruiz; Manuel Ujaldon; Jose Antonio Andrades; Jose Becerra; Kun Huang 001; Tony Pan; Joel H. Saltz (BIBE, 2007)

Multi-Resolution Image Segmentation Using the 2-Point Correlation Functions. - Firdaus Janoos; M. Okan Irfanoglu; Kishore Mosaliganti; Raghu Machiraju; Kun Huang 001; Pamela Wenzel; Alain de Bruin; Gustavo Leone (ISBI, 2007)

Volume Rendering Phenotype Differences in Mouse Placenta Microscopy Data. - Richard Sharp; Randall Ridgway; Kishore Mosaliganti; Pamela Wenzel; Tony Pan; Alain de Bruin; Raghu Machiraju; Kun Huang 001; Gustavo Leone; Joel H. Saltz (Comput. Sci. Eng., 2007)

Detection and Visualization of Surface-Pockets to Enable Phenotyping Studies. - Kishore Mosaliganti; Firdaus Janoos; Richard Sharp; Randall Ridgway; Raghu Machiraju; Kun Huang 001; Pamela Wenzel; Alain de Bruin; Gustavo Leone; Joel H. Saltz (IEEE Trans. Medical Imaging, 2007)

Geometry-driven visualization of microscopic structures in biology. - Kishore Mosaliganti; Raghu Machiraju; Kun Huang 001 (ISBI, 2008)

Geometry-driven Visualization of Microscopic Structures in Biology. - Kishore Mosaliganti; Raghu Machiraju; Kun Huang 001; Gustavo Leone (Comput. Graph. Forum, 2008)

An imaging workflow for characterizing phenotypical change in large histological mouse model datasets. - Kishore Mosaliganti; Tony Pan; Randall Ridgway; Richard Sharp; Lee Cooper 001; Alex Gulacy; Ashish Sharma 001; M. Okan Irfanoglu; Raghu Machiraju; Tahsin M. Kurç; Alain de Bruin; Pamela Wenzel; et al. (J. Biomed. Informatics, 2008)

Reconstruction of Cellular Biological Structures from Optical Microscopy Data. - Kishore Mosaliganti; Lee Cooper 001; Richard Sharp; Raghu Machiraju; Gustavo Leone; Kun Huang 001; Joel H. Saltz (IEEE Trans. Vis. Comput. Graph., 2008)

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. - Terry Camerlengo; Hatice Gulcin Ozer; Pearlly Yan; Jeffrey D. Parvin; Tim Hui-Ming Huang; Kun Huang 001; Mingxiang Teng; Lang Li 001; Yunlong Liu; Francisco Perez; Tahsin M. Kurç (BIBM, 2009)

Clinical Attribute Network for Chronic Lymphocytic Leukemia. - Abhisek Kundu; Hatice Gulcin Ozer; Tara Borlawsky; Kristin C. Circle; Kun Huang 001; Philip R. O. Payne (BIBM, 2009)

A Comprehensive Analysis Workflow for Genome-Wide Screening Data from ChIP-Sequencing Experiments. - 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 001 (BICoB, 2009)

Using Frequent Co-expression Network to Identify Gene Clusters for Breast Cancer Prognosis. - Jie Zhang 010; Kun Huang 001; Yang Xiang; Ruoming Jin (IJCBS, 2009)

Comparative study on ChIP-seq data: normalization and binding pattern characterization. - Cenny Taslim; Jiejun Wu; Pearlly Yan; Greg Singer; Jeffrey D. Parvin; Tim Hui-Ming Huang; Shili Lin; Kun Huang 001 (Bioinform., 2009)

Feature-based registration of histopathology images with different stains: An application for computerized follicular lymphoma prognosis. - Lee Cooper 001; Olcay Sertel; Jun Kong 002; Gerard Lozanski; Kun Huang 001; Metin N. Gurcan (Comput. Methods Programs Biomed., 2009)

Robust 3D reconstruction and identification of dendritic spines from optical microscopy imaging. - Firdaus Janoos; Kishore Mosaliganti; Xiaoyin Xu; Raghu Machiraju; Kun Huang 001; Stephen T. C. Wong (Medical Image Anal., 2009)

Tensor classification of N-point correlation function features for histology tissue segmentation. - Kishore Mosaliganti; Firdaus Janoos; M. Okan Irfanoglu; Randall Ridgway; Raghu Machiraju; Kun Huang 001; Joel H. Saltz; Gustavo Leone; Michael C. Ostrowski (Medical Image Anal., 2009)

Non-rigid Registration for Large Sets of Microscopic Images on Graphics Processors. - Antonio Ruiz; Manuel Ujaldon; Lee Cooper 001; Kun Huang 001 (J. Signal Process. Syst., 2009)

Two-point correlation as a feature for histology images: Feature space structure and correlation updating. - Lee Cooper 001; Joel H. Saltz; Raghu Machiraju; Kun Huang 001 (CVPR Workshops, 2010)

Multi-dimensional discovery of biomarker and phenotype complexes. - Philip R. O. Payne; Kun Huang 001; Kristin Keen-Circle; Abhisek Kundu; Jie Zhang 010; Tara Borlawsky (BMC Bioinform., 2010)

Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia. - Jie Zhang 010; Yang Xiang; Liya Ding 001; Kristin Keen-Circle; Tara Borlawsky; Hatice Gulcin Ozer; Ruoming Jin; Philip R. O. Payne; Kun Huang 001 (BMC Bioinform., 2010)

Identifying smoking associated gene co-expression networks related to oral cancer initiation. - Jie Zhang 010; Thomas Knobloch; Jeffrey D. Parvin; Christopher Weghorst; Kun Huang 001 (BIBM Workshops, 2011)

Predicting Parkinson's disease related genes using frequent gene co-expression analysis. - Jie Zhang 010; Shiwei Ni; Jeffrey D. Parvin; Yufeng Yang; Kun Huang 001 (BIBM Workshops, 2011)

Chromatin signature analysis and prediction of genome-wide novel promoters using finite mixture model. - Cenny Taslim; Shili Lin; Kun Huang 001; Tim Hui-Ming Huang (GENSiPS, 2011)

Acceleration of Two Point Correlation Function Calculation for Pathology Image Segmentation. - Lee A. D. Cooper; Joel H. Saltz; Ümit V. Çatalyürek; Kun Huang 001 (HISB, 2011)

Parallel Automatic Registration of Large Scale Microscopic Images on Multiprocessor CPUs and GPUs. - Lee Cooper 001; Kun Huang 001; Manuel Ujaldon (IPDPS Workshops, 2011)

Detecting cellular events in brain cortex using time-lapse microscopy. - Liya Ding 001; Kun Huang 001; C. Ryan Insolera; Song-Hai Shi (ISBI, 2011)

Non-parametric Population Analysis of Cellular Phenotypes. - Shantanu Singh; Firdaus Janoos; Thierry Pécot; Enrico Caserta; Kun Huang 001; Jens Rittscher; Gustavo Leone; Raghu Machiraju (MICCAI (2), 2011)

Comparing Multiple Chip-Sequencing Experiments. - Hatice Gulcin Ozer; Yi-Wen Huang; Jiejun Wu; Jeffrey D. Parvin; Tim Hui-Ming Huang; Kun Huang 001 (J. Bioinform. Comput. Biol., 2011)

Non parametric cell nuclei segmentation based on a tracking over depth from 3D fluorescence confocal images. - Thierry Pécot; Shantanu Singh; Enrico Caserta; Kun Huang 001; Raghu Machiraju; Gustavo Leone (ISBI, 2012)

Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery. - Yang Xiang; David Fuhry; Ruoming Jin; Ye Zhao 003; Kun Huang 001 (PAKDD (1), 2012)

A signal processing approach for enriched region detection in RNA polymerase II ChIP-seq data. - Zhi Han; Lu Tian; Thierry Pécot; Tim Hui-Ming Huang; Raghu Machiraju; Kun Huang 001 (BMC Bioinform., 2012)

A dynamic time order network for time-series gene expression data analysis. - Pengyue Zhang; Raphaël Mourad; Yang Xiang; Kun Huang 001; Tim Hui-Ming Huang; Kenneth P. Nephew; Yunlong Liu; Lang Li 001 (BMC Syst. Biol., 2012)

k-Neighborhood decentralization: A comprehensive solution to index the UMLS for large scale knowledge discovery. - Yang Xiang; Kewei Lu; Stephen L. James; Tara Borlawsky; Kun Huang 001; Philip R. O. Payne (J. Biomed. Informatics, 2012)

Merging network patterns: a general framework to summarize biomedical network data. - Yang Xiang; David Fuhry; Kamer Kaya; Ruoming Jin; Ümit V. Çatalyürek; Kun Huang 001 (Netw. Model. Anal. Health Informatics Bioinform., 2012)

Weighted Frequent Gene Co-expression Network Mining to Identify Genes Involved in Genome Stability. - Jie Zhang 010; Kewei Lu; Yang Xiang; Muhtadi Islam; Shweta Kotian; Zeina Kais; Cindy Lee; Mansi Arora; Hui-wen Liu; Jeffrey D. Parvin; Kun Huang 001 (PLoS Comput. Biol., 2012)

Transactional Database Transformation and Its Application in Prioritizing Human Disease Genes. - Yang Xiang; Philip R. O. Payne; Kun Huang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Identify condition-specific gene co-expression networks. - Vikram Kalluru; Raghu Machiraju; Kun Huang 001 (Int. J. Comput. Biol. Drug Des., 2013)

Gene co-expression analysis predicts genetic aberration loci associated with colon cancer metastasis. - Jie Zhang 010; Shiwei Ni; Yang Xiang; Jeffrey D. Parvin; Yufeng Yang; Yongjian Zhou; Kun Huang 001 (Int. J. Comput. Biol. Drug Des., 2013)

Research and applications: Identifying survival associated morphological features of triple negative breast cancer using multiple datasets. - Chao Wang 081; Thierry Pécot; Debra L. Zynger; Raghu Machiraju; Charles L. Shapiro; Kun Huang 001 (J. Am. Medical Informatics Assoc., 2013)

Mining massive SNP data for identifying associated SNPs and uncovering gene relationships. - Amy Webb; Aaron Albin; Zhan Ye; Majid Rastegar-Mojarad; Kun Huang 001; Jeffrey D. Parvin; Wolfgang Sadee; Lang Li 001; Simon M. Lin; Yang Xiang (BCB, 2014)

iGPSe: A visual analytic system for integrative genomic based cancer patient stratification. - Hao Ding; Chao Wang 081; Kun Huang 001; Raghu Machiraju (BMC Bioinform., 2014)

2013 IEEE Scientific Visualization Contest Winner: Observing Genomics and Phenotypical Patterns in the Developing Mouse Brain. - Qihang Li; Gabriel Zachmann; David Feng 001; Kun Huang 001; Raghu Machiraju (IEEE Computer Graphics and Applications, 2014)

Visualizing Multidimensional Data with Glyph SPLOMs. - A. Yates; Amy Webb; Michael F. Sharpnack; H. Chamberlin; Kun Huang 001; Raghu Machiraju (Comput. Graph. Forum, 2014)

MICA: MicroRNA integration for active module discovery. - Ayat Hatem; Kamer Kaya; Jeffrey D. Parvin; Kun Huang 001; Ümit V. Çatalyürek (BCB, 2015)

Identify Critical Genes in Development with Consistent H3K4me2 Patterns across Multiple Tissues. - Nan Meng; Raghu Machiraju; Kun Huang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Guest Editors Introduction to the Special Issue on Software and Databases. - Dong Xu 002; Kun Huang 001; Jeanette Schmidt (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

GRAPHIE: graph based histology image explorer. - Hao Ding; Chao Wang 081; Kun Huang 001; Raghu Machiraju (BMC Bioinform., 2015)

Session Introduction. - Kelly Regan; Zachary B. Abrams; Michael F. Sharpnack; Arunima Srivastava; Kun Huang 001; Nigam Shah; Philip R. O. Payne (PSB, 2016)

Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types. - Nan Meng; Raghu Machiraju; Kun Huang 001 (BMC Bioinform., 2016)

Precision Medicine: What Challenges Are We Facing? - Yu Xue 001; Eric-Wubbo Lameijer; Kai Ye 001; Kunlin Zhang; Suhua Chang; Xiaoyue Wang; Jianmin Wu; Ge Gao; Fangqing Zhao; Jian Li; Chunsheng Han; Shuhua Xu; et al. (Genom. Proteom. Bioinform., 2016)

Single-Cell Co-expression Analysis Reveals Distinct Functional Modules, Co-regulation Mechanisms and Clinical Outcomes. - Jie Wang 066; Shuli Xia; Brian Arand; Heng Zhu; Raghu Machiraju; Kun Huang 001; Hongkai Ji; Jiang Qian (PLoS Comput. Biol., 2016)

Mapping Neuronal Cell Types Using Integrative Multi-Species Modeling of Human and Mouse Single Cell RNA Sequencing. - Travis S. Johnson; Zachary B. Abrams; Yan Zhang; Kun Huang 001 (PSB, 2017)

Open Data for Discovery Science. - Philip R. O. Payne; Kun Huang 001; Nigam H. Shah; Jessica D. Tenenbaum (PSB, 2017)

Integrative Analysis for Lung Adenocarcinoma Predicts Morphological Features Associated with Genetic Variations. - Chao Wang 081; Hai Su; Lin Yang 002; Kun Huang 001 (PSB, 2017)

Spatiotemporal Visualization of Gene Expression in the Developing Mouse Brain. - Qihang Li; Kun Huang 001; Raghu Machiraju (EuroVis (Short Papers), 2017)

annoPeak: a web application to annotate and visualize peaks from ChIP-seq/ChIP-exo-seq. - Xing Tang; Arunima Srivastava; Huayang Liu; Raghu Machiraju; Kun Huang 001; Gustavo Leone (Bioinform., 2017)

Predictive models for pressure ulcers from intensive care unit electronic health records using Bayesian networks. - Pacharmon Kaewprag; Cheryl Newton; Brenda Vermillion; Sookyung Hyun; Kun Huang 001; Raghu Machiraju (BMC Medical Informatics Decis. Mak., 2017)

Genetic Mutations Associated with Histopathology Changes in Kidney Cancer. - Jun Cheng 006; Zhi Han; Qianjin Feng; Liang Cheng; Jie Zhang 010; Kun Huang 001 (AMIA, 2018)

Learning to Parse Wireframes in Images of Man-Made Environments. - Kun Huang 001; Yifan Wang; Zihan Zhou 001; Tianjiao Ding; Shenghua Gao; Yi Ma 001 (CVPR, 2018)

Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer. - Wei Shao 005; Jun Cheng 006; Liang Sun 009; Zhi Han; Qianjin Feng; Daoqiang Zhang; Kun Huang 001 (MICCAI (2), 2018)

Session introduction. - Heng Huang; Li Shen 001; Paul M. Thompson; Kun Huang 001; Junzhou Huang; Lin Yang 002 (PSB, 2018)

Network analysis of pseudogene-gene relationships: from pseudogene evolution to their functional potentials. - Travis S. Johnson; Sihong Li; Jonathan R. Kho; Kun Huang 001; Yan Zhang (PSB, 2018)

Building trans-omics evidence: using imaging and 'omics' to characterize cancer profiles. - Arunima Srivastava; Chaitanya Kulkarni; Parag Mallick; Kun Huang 001; Raghu Machiraju (PSB, 2018)

Identification of topological features in renal tumor microenvironment associated with patient survival. - Jun Cheng 006; Xiaokui Mo; Xusheng Wang; Anil Parwani; Qianjin Feng; Kun Huang 001 (Bioinform., 2018)

Identifying Symptom Clusters in Breast Cancer and Colorectal Cancer Patients using EHR Data. - Priyanka Gandhi; Xiao Luo 002; Susan Storey; Zuoyi Zhang; Zhi Han; Kun Huang 001 (BCB, 2019)

PPGNet: Learning Point-Pair Graph for Line Segment Detection. - Ziheng Zhang; Zhengxin Li; Ning Bi; Jia Zheng 002; Jinlei Wang; Kun Huang 001; Weixin Luo; Yanyu Xu; Shenghua Gao (CVPR, 2019)

Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma. - Wei Shao 005; Tongxin Wang; Zhi Huang; Jun Cheng 006; Zhi Han; Daoqiang Zhang; Kun Huang 001 (MICCAI (4), 2019)

Topological Methods for Visualization and Analysis of High Dimensional Single-Cell RNA Sequencing Data. - Tongxin Wang; Travis S. Johnson; Jie Zhang 010; Kun Huang 001 (PSB, 2019)

Wireframe Parsing With Guidance of Distance Map. - Kun Huang 001; Shenghua Gao (IEEE Access, 2019)

Integrative cancer patient stratification via subspace merging. - Hao Ding; Michael F. Sharpnack; Chao Wang 081; Kun Huang 001; Raghu Machiraju (Bioinform., 2019)

LAmbDA: label ambiguous domain adaptation dataset integration reduces batch effects and improves subtype detection. - Travis S. Johnson; Tongxin Wang; Zhi Huang; Christina Y. Yu; Yi Wu; Yatong Han; Yan Zhang; Kun Huang 001; Jie Zhang 010 (Bioinform., 2019)

A protocol to evaluate RNA sequencing normalization methods. - Zachary B. Abrams; Travis S. Johnson; Kun Huang 001; Philip R. O. Payne; Kevin R. Coombes (BMC Bioinform., 2019)

Generalized gene co-expression analysis via subspace clustering using low-rank representation. - Tongxin Wang; Jie Zhang 010; Kun Huang 001 (BMC Bioinform., 2019)

Capturing variations in nuclear phenotypes. - Sundaresan Raman; Shantanu Singh; Thierry Pécot; Enrico Caserta; Kun Huang 001; Jens Rittscher; Gustavo Leone; Raghu Machiraju (J. Comput. Sci., 2019)

Microsatellite Instability Prediction of Uterine Corpus Endometrial Carcinoma Based on H&E Histology Whole-Slide Imaging. - Tongxin Wang; Weijia Lu; Fan Yang 081; Li Liu 017; Zhongyi Dong; Weimin Tang; Jia Chang; Wenjing Huan; Kun Huang 001; Jianhua Yao 001 (ISBI, 2020)

PTR Explorer: An approach to identify and explore Post Transcriptional Regulatory mechanisms usingproteogenomics. - Arunima Srivastava; Michael F. Sharpnack; Kun Huang 001; Parag Mallick; Raghu Machiraju (PSB, 2020)

Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters. - Zhi Huang; Paul Salama; Wei Shao 005; Jie Zhang 010; Kun Huang 001 (CoRR, 2020)

Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers. - Wei Shao 005; Tongxin Wang; Liang Sun 009; Tianhan Dong; Zhi Han; Zhi Huang; Jie Zhang 010; Daoqiang Zhang; Kun Huang 001 (Medical Image Anal., 2020)

AI in Medical Imaging Informatics: Current Challenges and Future Directions. - Andreas S. Panayides; Amir A. Amini; Nenad D. Filipovic; Ashish Sharma 001; Sotirios A. Tsaftaris; Alistair A. Young; David J. Foran; Nhan Do; Spyretta Golemati; Tahsin M. Kurç; Kun Huang 001; Konstantina S. Nikita; et al. (IEEE J. Biomed. Health Informatics, 2020)

Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis. - Wei Shao 005; Kun Huang 001; Zhi Han; Jun Cheng 006; Liang Cheng; Tongxin Wang; Liang Sun 009; Zixiao Lu; Jie Zhang 010; Daoqiang Zhang (IEEE Trans. Medical Imaging, 2020)

Image saliency detection via multi-scale iterative CNN. - Kun Huang 001; Shenghua Gao (Vis. Comput., 2020)

PASC CKD: revealing the progression trajectories of sustained COVID-19-related renal injury using real-world evidence. - Jing Su 003; Pengyue Zhang; Zuoyi Zhang; Michael Eadon; Xiaochun Li 003; Tian He; Stanley Taylor; Travis Johnson; Zhaorui Liu; Ziyang Tang; Baijian Yang 001; Qianqian Song; et al. (AMIA, 2021)

Towards Fair Cross-Domain Adaptation via Generative Learning. - Tongxin Wang; Zhengming Ding; Wei Shao 005; Haixu Tang; Kun Huang 001 (WACV, 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. - Yusong Liu; Xiufen Ye; Christina Y. Yu; Wei Shao 005; Jie Hou; Weixing Feng; Jie Zhang 010; Kun Huang 001 (BMC Bioinform., 2021)

Applying interpretable deep learning models to identify chronic cough patients using EHR data. - Xiao Luo 002; Priyanka Gandhi; Zuoyi Zhang; Wei Shao 005; Zhi Han; Vasu Chandrasekaran; Vladimir Turzhitsky; Vishal Bali; Anna R. Roberts; Megan Metzger; Jarod Baker; Carmen La Rosa; et al. (Comput. Methods Programs Biomed., 2021)

TSUNAMI: Translational Bioinformatics Tool Suite for Network Analysis and Mining. - Zhi Huang; Zhi Han; Tongxin Wang; Wei Shao 005; Shunian Xiang; Paul Salama; Maher E. Rizkalla; Kun Huang 001; Jie Zhang 010 (Genom. Proteom. Bioinform., 2021)

BrcaSeg: A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images. - Zixiao Lu; Xiaohui Zhan; Yi Wu; Jun Cheng 006; Wei Shao 005; Dong Ni 001; Zhi Han; Jie Zhang 010; Qianjin Feng; Kun Huang 001 (Genom. Proteom. Bioinform., 2021)

Analyzing the symptoms in colorectal and breast cancer patients with or without type 2 diabetes using EHR data. - Xiao Luo 002; Susan Storey; Priyanka Gandhi; Zuoyi Zhang; Megan Metzger; Kun Huang 001 (Health Informatics J., 2021)

A Computational Framework to Analyze the Associations Between Symptoms and Cancer Patient Attributes Post Chemotherapy Using EHR Data. - Xiao Luo 002; Priyanka Gandhi; Susan Storey; Zuoyi Zhang; Zhi Han; Kun Huang 001 (IEEE J. Biomed. Health Informatics, 2021)

Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images. - Wei Shao 005; Tongxin Wang; Zhi Huang; Zhi Han; Jie Zhang 010; Kun Huang 001 (IEEE Trans. Medical Imaging, 2021)

Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors. - Yingli Zuo; Yawen Wu; Zixiao Lu; Qi Zhu 001; Kun Huang 001; Daoqiang Zhang; Wei Shao 005 (MICCAI (2), 2022)

SPCS: a spatial and pattern combined smoothing method for spatial transcriptomic expression. - Yusong Liu; Tongxin Wang; Ben Duggan; Michael F. Sharpnack; Kun Huang 001; Jie Zhang 010; Xiufen Ye; Travis S. Johnson (Briefings Bioinform., 2022)

TSAFinder: exhaustive tumor-specific antigen detection with RNAseq. - Michael F. Sharpnack; Travis S. Johnson; Robert Chalkley; Zhi Han; David Carbone; Kun Huang 001; Kai He (Bioinform., 2022)

Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data. - Wei Shao 005; Xiao Luo 002; Zuoyi Zhang; Zhi Han; Vasu Chandrasekaran; Vladimir Turzhitsky; Vishal Bali; Anna R. Roberts; Megan Metzger; Jarod Baker; Carmen La Rosa; Jessica Weaver; et al. (BMC Bioinform., 2022)

A Deep Language Model for Symptom Extraction From Clinical Text and its Application to Extract COVID-19 Symptoms From Social Media. - Xiao Luo 002; Priyanka Gandhi; Susan Storey; Kun Huang 001 (IEEE J. Biomed. Health Informatics, 2022)

Artificial Intelligence in Omics. - Feng Gao 001; Kun Huang 001; Yi Xing (Genom. Proteom. Bioinform., 2022)

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science. - Betina Idnay; Zihan Xu; William G. Adams; Mohammad Adibuzzaman; Nicholas R. Anderson 001; Neil Bahroos; Douglas S. Bell; Cody Bumgardner; Thomas R. Campion Jr.; Victor M. Castro; James J. Cimino; I. Glenn Cohen; et al. (CoRR, 2024)