Zhaonan Sun

Publication Activity (10 Years)

Years Active: 2009-2021
Publications (10 Years): 22

Top Topics

Electronic Health Records

Bayesian Inference

Differentially Expressed Genes

Multitask Learning

Top Venues

Publications

Liuyi Yao, Zijun Yao, Jianying Hu, Jing Gao, Zhaonan Sun
Deep Staging: An Interpretable Deep Learning Framework for Disease Staging. ICHI (2021)
Xiang Liu, Zhaonan Sun, Chao Han, Yingpu Cui, Jiahao Huang, Xiangpeng Wang, Xiaodong Zhang, Xiaoying Wang
Development and validation of the 3D U-Net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images. BMC Medical Imaging 21 (1) (2021)
Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng
DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways. IEEE Trans. Vis. Comput. Graph. 27 (9) (2021)
Zhaonan Sun, Bronislaw D. Gepner, Sang-Hyun Lee, Joshua Rigby, Neil Singh, Jason R. Kerrigan
Determination of strain rate in modelling belt-flesh-pelvis interaction during frontal crashes. CoRR (2020)
Zhaonan Sun, Bronislaw Gepner, Jason R. Kerrigan
New approaches in modeling belt-flesh-pelvis interaction using obese GHBMC models. CoRR (2020)
Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu
Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach. IEEE Trans. Knowl. Data Eng. 32 (7) (2020)
Sanjoy Dey, Zhaonan Sun, Amrita Mohan, Cristina Sampaio, Jianying Hu
Analyzing impact of genomic factors on HD progression through an integrated disease progress model. AMIA (2020)
Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng
DPVis: Visual Exploration of Disease Progression Pathways. CoRR (2019)
Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu
Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care. CoRR (2018)
Bin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng
Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach. AAAI (2018)
Xiang Li, Zhaonan Sun, Xin Du, Haifeng Liu, Gang Hu, Guotong Xie
Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation. AMIA (2017)
Zhengping Che, Yu Cheng, Zhaonan Sun, Yan Liu
Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding. CoRR (2017)
Zhaonan Sun, Ying Li, Soumya Ghosh, Yu Cheng, Amrita Mohan, Cristina Sampaio
A Data-Driven Method for Generating Robust Symptom Onset Indicators in Disease Registry Data. AMIA (2017)
Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. ICDM (2017)
Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. CoRR (2017)
Soumya Ghosh, Zhaonan Sun, Ying Li, Yu Cheng, Amrita Mohan, Cristina Sampaio, Jianying Hu
An Exploration of Latent Structure in Observational Huntington's Disease Studies. CRI (2017)
Zhaonan Sun, Ying Li, Soumya Ghosh, Yu Cheng, Amrita Mohan, Cristina Sampaio, Jianying Hu
Exploring Factors that Associated with Missing Values in Observational Huntington's Disease Study Data. CRI (2017)
Zhaonan Sun, Xu Liu, Ping Zhang, Jianying Hu, Juan Wisnivesky
Joint Modeling of Survival Events through Multi-task Learning Framework. AMIA (2016)
Zhaonan Sun, Yu Cheng, Amos Cahan, Fei Wang, Jianying Hu
Modelling the Progression of CKD with EMR Data: a Partially Hidden Markov Approach. CRI (2016)
Ying Li, Ping Zhang, Zhaonan Sun, Jianying Hu
Data-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems. AMIA (2016)
Ben Li, Zhaonan Sun, Qing He, Yu Zhu, Zhaohui S. Qin
Bayesian inference with historical data-based informative priors improves detection of differentially expressed genes. Bioinform. 32 (5) (2016)
Soumya Ghosh, Yu Cheng, Zhaonan Sun
Deep State Space Models for Computational Phenotyping. ICHI (2016)
Zhaonan Sun, Fei Wang, Jianying Hu
LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management. KDD (2015)
Ping Zhang, Zhaonan Sun, Fei Wang, Jianying Hu
Towards Computational Drug Repositioning: A Comparative Study of Single-task and Multi-task Learning. AMIA (2015)
Zhaonan Sun, Yu Zhu
Systematic comparison of RNA-Seq normalization methods using measurement error models. Bioinform. 28 (20) (2012)
S. V. N. Vishwanathan, Zhaonan Sun, Nawanol Ampornpunt, Manik Varma
Multiple Kernel Learning and the SMO Algorithm. NIPS (2010)
Xing Wang, Xin Wang, Zhaonan Sun
Comparison on Confidence Bands of Decision Boundary between SVM and Logistic Regression. NCM (2009)