Weiva Sieh

According to our database, Weiva Sieh authored at least 3 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Self-Supervised Deep Learning to Enhance Breast Cancer Detection on Screening Mammography.

John D. Miller, Vignesh A. Arasu, Albert X. Pu, Laurie R. Margolies, Weiva Sieh, Li Shen

CoRR, 2022

2017

FIRE: functional inference of genetic variants that regulate gene expression.

Nilah M. Ioannidis, Joe R. Davis, Marianne K. DeGorter, Nicholas B. Larson, Shannon K. McDonnell, Amy J. French, Alexis J. Battle, Trevor J. Hastie, Stephen N. Thibodeau, Stephen B. Montgomery, Carlos D. Bustamante, Weiva Sieh, Alice S. Whittemore

Bioinform., 2017

2015

Polychromatic X-Ray Absorptiometry to Quantify Breast Density Volume, Ratio and their Associated Breast Cancer Risk in Full-Digital Mammography.

Luis de Sisternes, Joseph Rothstein, Abra Jeffers, Weiva Sieh, Daniel L. Rubin

Proceedings of the AMIA 2015, 2015