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2020 – today
- 2021
[j5]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): 170 (2021)- [j4]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): 3685-3700 (2021) - [c16]Liuyi Yao, Zijun Yao, Jianying Hu, Jing Gao, Zhaonan Sun:
Deep Staging: An Interpretable Deep Learning Framework for Disease Staging. ICHI 2021: 130-137 - 2020
- [j3]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): 1276-1289 (2020) - [c15]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 - [i6]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 abs/2007.12062 (2020) - [i5]Zhaonan Sun, Bronislaw Gepner, Jason R. Kerrigan:
New approaches in modeling belt-flesh-pelvis interaction using obese GHBMC models. CoRR abs/2007.12340 (2020)
2010 – 2019
- 2019
- [i4]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 abs/1904.11652 (2019) - 2018
- [c14]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: 101-108 - [i3]Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu:
Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care. CoRR abs/1802.06476 (2018) - 2017
- [c13]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 - [c12]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 - [c11]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 - [c10]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 - [c9]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: 787-792 - [i2]Zhengping Che, Yu Cheng, Zhaonan Sun, Yan Liu:
Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding. CoRR abs/1701.07474 (2017) - [i1]Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu:
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. CoRR abs/1709.01648 (2017) - 2016
- [j2]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): 682-689 (2016) - [c8]Ying Li, Ping Zhang, Zhaonan Sun, Jianying Hu:
Data-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems. AMIA 2016 - [c7]Zhaonan Sun, Xu Liu, Ping Zhang, Jianying Hu, Juan Wisnivesky:
Joint Modeling of Survival Events through Multi-task Learning Framework. AMIA 2016 - [c6]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 - [c5]Soumya Ghosh, Yu Cheng, Zhaonan Sun:
Deep State Space Models for Computational Phenotyping. ICHI 2016: 399-402 - 2015
- [c4]Ping Zhang, Zhaonan Sun, Fei Wang, Jianying Hu:
Towards Computational Drug Repositioning: A Comparative Study of Single-task and Multi-task Learning. AMIA 2015 - [c3]Zhaonan Sun, Fei Wang, Jianying Hu:
LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management. KDD 2015: 1145-1154 - 2012
- [j1]Zhaonan Sun, Yu Zhu:
Systematic comparison of RNA-Seq normalization methods using measurement error models. Bioinform. 28(20): 2584-2591 (2012) - 2010
- [c2]S. V. N. Vishwanathan, Zhaonan Sun, Nawanol Ampornpunt, Manik Varma:
Multiple Kernel Learning and the SMO Algorithm. NIPS 2010: 2361-2369
2000 – 2009
Coauthor Index
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