Spatial Clusters of Diseases: Remodeling the Concept. - Ge Lin; Donglin Zeng (Ann. GIS, 1999)

Effects of Healthy Aging Measured By Intracranial Compartment Volumes Using a Designed MR Brain Database. - Bénédicte Mortamet; Donglin Zeng; Guido Gerig; Marcel Prastawa; Elizabeth Bullitt (MICCAI, 2005)

Tumor Therapeutic Response and Vessel Tortuosity: Preliminary Report in Metastatic Breast Cancer. - Elizabeth Bullitt; Nancy U. Lin; Matthew G. Ewend; Donglin Zeng; Eric P. Winer; Lisa A. Carey; J. Keith Smith (MICCAI (2), 2006)

A comparative study of mobile electronic data entry systems for clinical trials data collection. - Elodia B. Cole; Etta D. Pisano; Gregory J. Clary; Donglin Zeng; Marcia Koomen; Cherie M. Kuzmiak; Bo Kyoung Seo; Yeonhee Lee; Dag Pavic (Int. J. Medical Informatics, 2006)

Preventing facial recognition when rendering MR images of the head in three dimensions. - François Budin; Donglin Zeng; Arpita Ghosh; Elizabeth Bullitt (Medical Image Anal., 2008)

Learning Optimal Individualized Treatment Rules from Electronic Health Record Data. - Yuanjia Wang; Peng Wu; Ying Liu; Chunhua Weng; Donglin Zeng (ICHI, 2016)

Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes. - Yuanjia Wang; Tianle Chen; Donglin Zeng (J. Mach. Learn. Res., 2016)

Principal components adjusted variable screening. - Zhongkai Liu; Rui Song 006; Donglin Zeng; Jiajia Zhang (Comput. Stat. Data Anal., 2017)

Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment Options. - Xuan Zhou; Yuanjia Wang; Donglin Zeng (DSAA, 2018)

High dimensional precision medicine from patient-derived xenografts. - Naim U. Rashid; Daniel J. Luckett; Jingxiang Chen; Michael T. Lawson; Longshaokan Wang; Yunshu Zhang; Eric B. Laber; Yufeng Liu; Jen Jen Yeh; Donglin Zeng; Michael R. Kosorok (CoRR, 2019)

Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment. - Yuan Chen; Donglin Zeng; Tianchen Xu; Yuanjia Wang (NeurIPS, 2020)

Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatments. - Yuan Chen; Donglin Zeng; Tianchen Xu; Yuanjia Wang (CoRR, 2020)

Microvascular Ultrasonic Imaging of Angiogenesis Identifies Tumors in a Murine Spontaneous Breast Cancer Model. - Sarah E. Shelton; Jodi Stone; Fei Gao; Donglin Zeng; Paul A. Dayton (Int. J. Biomed. Imaging, 2020)

Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model. - Yuan Chen; Wenbo Fei; Qinxia Wang; Donglin Zeng; Yuanjia Wang (NeurIPS, 2021)

Classification and Prediction of Post-Trauma Outcomes Related to PTSD Using Circadian Rhythm Changes Measured via Wrist-Worn Research Watch in a Large Longitudinal Cohort. - Ayse S. Cakmak; Erick Andres Perez-Alday; Giulia Da Poian; Ali Bahrami Rad; Thomas J. Metzler; Thomas Neylan; Stacey L. House; Francesca L. Beaudoin; Xinming An; Jennifer S. Stevens; Donglin Zeng; Sarah D. Linnstaedt; et al. (IEEE J. Biomed. Health Informatics, 2021)

Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion. - Haixu Ma; Donglin Zeng; Yufeng Liu (NeurIPS, 2022)

Non-asymptotic Properties of Individualized Treatment Rules from Sequentially Rule-Adaptive Trials. - Daiqi Gao; Yufeng Liu; Donglin Zeng (J. Mach. Learn. Res., 2022)

Asymptotic Inference for Multi-Stage Stationary Treatment Policy with High Dimensional Features. - Daiqi Gao; Yufeng Liu; Donglin Zeng (CoRR, 2023)

Learning Optimal Group-structured Individualized Treatment Rules with Many Treatments. - Haixu Ma; Donglin Zeng; Yufeng Liu (J. Mach. Learn. Res., 2023)

Fusing Individualized Treatment Rules Using Secondary Outcomes. - Daiqi Gao; Yuanjia Wang; Donglin Zeng (AISTATS, 2024)

Reinforcement Learning with Hidden Markov Models for Discovering Decision-Making Dynamics. - Xingche Guo; Donglin Zeng; Yuanjia Wang (CoRR, 2024)

Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls. - Mochuan Liu; Yuanjia Wang; Haoda Fu; Donglin Zeng (J. Mach. Learn. Res., 2024)

Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing. - Jitao Wang; Chengchun Shi; John D. Piette; Joshua R. Loftus; Donglin Zeng; Zhenke Wu (CoRR, 2025)

Continuous-Time Hidden Markov Factor Model for Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae. - Lin Ge; Xinming An; Donglin Zeng; Samuel A. McLean; Ronald C. Kessler; Rui Song 006 (IEEE J. Biomed. Health Informatics, 2025)