Zhaonan Sun

According to our database1, Zhaonan Sun authored at least 26 papers between 2009 and 2021.

Collaborative distances:



In proceedings 
PhD thesis 


On csauthors.net:


DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways.
IEEE Trans. Vis. Comput. Graph., 2021

Development and validation of the 3D U-Net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images.
BMC Medical Imaging, 2021

Deep Staging: An Interpretable Deep Learning Framework for Disease Staging.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach.
IEEE Trans. Knowl. Data Eng., 2020

New approaches in modeling belt-flesh-pelvis interaction using obese GHBMC models.
CoRR, 2020

Determination of strain rate in modelling belt-flesh-pelvis interaction during frontal crashes.
CoRR, 2020

Analyzing impact of genomic factors on HD progression through an integrated disease progress model.
Proceedings of the AMIA 2020, 2020

DPVis: Visual Exploration of Disease Progression Pathways.
CoRR, 2019

Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care.
CoRR, 2018

Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding.
CoRR, 2017

Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Exploring Factors that Associated with Missing Values in Observational Huntington's Disease Study Data.
Proceedings of the Summit on Clinical Research Informatics, 2017

An Exploration of Latent Structure in Observational Huntington's Disease Studies.
Proceedings of the Summit on Clinical Research Informatics, 2017

A Data-Driven Method for Generating Robust Symptom Onset Indicators in Disease Registry Data.
Proceedings of the AMIA 2017, 2017

Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation.
Proceedings of the AMIA 2017, 2017

Bayesian inference with historical data-based informative priors improves detection of differentially expressed genes.
Bioinform., 2016

Deep State Space Models for Computational Phenotyping.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

Modelling the Progression of CKD with EMR Data: a Partially Hidden Markov Approach.
Proceedings of the Summit on Clinical Research Informatics, 2016

Joint Modeling of Survival Events through Multi-task Learning Framework.
Proceedings of the AMIA 2016, 2016

Data-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems.
Proceedings of the AMIA 2016, 2016

LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Towards Computational Drug Repositioning: A Comparative Study of Single-task and Multi-task Learning.
Proceedings of the AMIA 2015, 2015

Systematic comparison of RNA-Seq normalization methods using measurement error models.
Bioinform., 2012

Multiple Kernel Learning and the SMO Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Comparison on Confidence Bands of Decision Boundary between SVM and Logistic Regression.
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009