Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set
2016 · npj Breast Cancer · 353 citations
https://doi.org/10.1038/npjbcancer.2016.12
Y
Yitan Zhu
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
76
Papers
4.0K
Citations
24
h-index
35
i10-index
Yitan Zhu is an academic researcher from Argonne National Laboratory. The author has contributed to research in topics: Gene expression and cancer classification & Bioinformatics and Genomic Networks & Computational Drug Discovery Methods. The author has an h-index of 24, co-authored 65 publications.
Papers by this author
worksPrediction of chronic kidney disease progression using recurrent neural network and electronic health records
2023 · Scientific Reports · 36 citations
https://doi.org/10.1038/s41598-023-49271-2
Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative
2024 · EBioMedicine · 2 citations
https://doi.org/10.1016/j.ebiom.2024.105333
Additional file 1: of Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling
2019 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.8874941
Scalable Bayesian Nonparametric Clustering and Classification
2019 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.8243045.v1
Scalable Bayesian Nonparametric Clustering and Classification
2019 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.8243045
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat