7 citations · 13 across the 2 of their papers we have counts for
3 papers
physics.med-ph2020★ 7 cited
A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images
Chen Zhao, Joyce H. Keyak, Jinshan Tang +10
Purpose: Proximal femur image analyses based on quantitative computed tomography (QCT) provide a method to quantify the bone density and evaluate osteoporosis and risk of fracture.…
stat.AP2019★ 6 cited
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records
Yanshan Wang, Yiqing Zhao, Terry M. Therneau +6
Machine learning has become ubiquitous and a key technology on mining electronic health records (EHRs) for facilitating clinical research and practice. Unsupervised machine learnin…
cs.IR2018
A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction
Yanshan Wang, Sunghwan Sohn, Sijia Liu +5
Objective: To automatically create large labeled training datasets and reduce the efforts of feature engineering for training accurate machine learning models for clinical informat…