Ziqian Xie

The University of Texas Health Science Center — United States

Medicine · Health Sciences

10h-index1.2kcitations42works5.12yr avg
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Research Topics

Antimicrobial Resistance in Staphylococcus(9), Machine Learning in Healthcare(9), Genetic Associations and Epidemiology(7), Advanced Neuroimaging Techniques and Applications(5), Bacterial Identification and Susceptibility Testing(5)

Publications42 total

Learning heritable multimodal brain representation via contrastive learning
2026Open Access
P-1686. Deep Learning Prediction Model for Staphylococcus aureus Positivity and Antibiotic Susceptibility Patterns Using A Large Longitudinal Electronic Health Record Dataset
Open Forum Infectious Diseases·2026Open Access
Unveiling the genetic architecture of white matter tracks through unsupervised deep representation learning of fractional anisotropy images
Alzheimer s & Dementia·2025Open Access
Towards Precision Protein-Ligand Affinity Prediction Benchmark: A Complete and Modification-Aware DAVIS Dataset
arXiv (Cornell University)·2025Open Access
Uncovering genetic architecture of the heart via genetic association studies of unsupervised deep learning derived endophenotypes
2025Open Access
Unveiling genetic architecture of white matter microstructure through unsupervised deep representation learning of fractional anisotropy maps
2025Open Access
Unveiling genetic architecture of white matter microstructure through unsupervised deep representation learning of fractional anisotropy maps
2025Open Access
A Reinforcement Learning (RL)-Motivated Simulation Framework for Evaluating Vancomycin Dosing Strategies
PubMed Central·2025Open Access
A Folding-Docking-Affinity framework for protein-ligand binding affinity prediction
Communications Chemistry·2025· 7 citedOpen Access
Vision Transformer Autoencoders for Unsupervised Representation Learning: Revealing Novel Genetic Associations through Learned Sparse Attention Patterns
2025· 1 citedOpen Access
Efficient multi-phenotype genome-wide analysis identifies genetic associations for unsupervised deep-learning-derived high-dimensional brain imaging phenotypes
2024· 4 citedOpen Access
iGWAS: Image-based genome-wide association of self-supervised deep phenotyping of retina fundus images
PLoS Genetics·2024· 15 citedOpen Access
Protein-ligand binding affinity prediction: Is 3D binding pose needed?
2024Open Access
A Folding–Docking–Affinity framework for protein–ligand binding affinity prediction
2024Open Access
Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imaging
Communications Biology·2024· 30 citedOpen Access
Dissecting Query-Key Interaction in Vision Transformers
arXiv (Cornell University)·2024· 1 citedOpen Access
Deep learning model for personalized prediction of positive MRSA culture using time-series electronic health records
Nature Communications·2024· 39 citedOpen Access
A deep-learning-based two-compartment predictive model (PKRNN-2CM) for vancomycin therapeutic drug monitoring
2024Open Access
Dynamic Prognosis Prediction for Patients on DAPT After Drug‐Eluting Stent Implantation: Model Development and Validation
Journal of the American Heart Association·2024· 10 citedOpen Access
A Reinforcement Learning (RL)-Motivated Simulation Framework for Evaluating Vancomycin Dosing Strategies.
PubMed·2024
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Frequent Co-authors

Degui Zhi(30), Laila Rasmy(16), Masayuki Nigo(10), Bingyu Mao(9), Wanheng Zhang(6), Cui Tao(5), Wei He(5), Han Chen(5), Luca Giancardo(5), Yang Xiang(4), Bijun S. Kannadath(4), Khush Patel(4), Yujia Zhou(4), Sheikh Muhammad Saiful Islam(4), Myriam Fornage(4), Shuiwang Ji(4), Degui Zhi(4), Xingzhong Zhao(4), Odelia Schwartz(3), Assaf Gottlieb(3)