7 citations · 11 across the 3 of their papers we have counts for
3 papers
stat.ML2022★ 4 cited
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery
Md Ashad Alam, Hui Shen, Hong-Wen Deng
Many statistical machine approaches could ultimately highlight novel features of the etiology of complex diseases by analyzing multi-omics data. However, they are sensitive to some…
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.ML2020
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets
Md Ashad Alam, Chuan Qiu, Hui Shen +2
In recent years, a comprehensive study of multi-view datasets (e.g., multi-omics and imaging scans) has been a focus and forefront in biomedical research. State-of-the-art biomedic…