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Joyce H. Keyak

University of California, Irvine

Division of Nephrology, University of California I

101 City Drive South, City Tower, Suite 400-ZOT;40

Orange, CA California 92868-3217

United States

  • University of California, Irvine

SCHOLARLY PAPERS

3

DOWNLOADS

115

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

A New Hip Fracture Risk Index Derived from FEA-Computed Proximal Femur Fracture Loads and Energies-to-Failure

Number of pages: 27 Posted: 06 Dec 2022
Xuewei Cao, Joyce H. Keyak, Sigurdur Sigurdsson, Chen Zhao, Weihua Zhou, Anqi Liu, Thomas F. Lang, Hong-Wen Deng, Vilmundur Guðnason and Qiuying Sha
Michigan Technological University, University of California, Irvine, Icelandic Heart Association, Michigan Technological University, Michigan Technological University, Tulane University, Tulane University - School of Medicine, Tulane University - Tulane Center of Bioinformatics and Genomics, Icelandic Heart Association and Michigan Technological University
Downloads 50 (1,063,489)

Abstract:

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Hip fracture risk, Principal component analysis, Bone strength, Finite element analysis, Osteoporosis

2.

PF-DAformer: Proximal Femur Segmentation via Domain Adaptive Transformer for Dual-Center QCT

Number of pages: 22 Posted: 19 Dec 2025
Weihua Zhou, Rochak Dhakal, Chen Zhao, Zixin Shi, Joyce H. Keyak, Hui Shen, Hong-Wen Deng, Kuan-Jui Su and Tadashi S. Kaneko
Michigan Technological University, Michigan Technological University, Kennesaw State University, Michigan Technological University, University of California, Irvine, Tulane University - Tulane Center of Bioinformatics and Genomics, Tulane University - Tulane Center of Bioinformatics and Genomics, Tulane University and affiliation not provided to SSRN
Downloads 33 (1,290,922)

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hip fracture, quantitative computed tomography, Image Segmentation, transformers, Domain Adaptation

3.

A Staged Approach Using Machine Learning and Uncertainty Quantification to Predict the Risk of Hip Fracture

Number of pages: 31 Posted: 18 Jul 2024
Anjum Shaik, Kristoffer Larsen, Nancy E. Lane, Chen Zhao, Kuan-Jui Su, Joyce H. Keyak, Qing Tian, Qiuying Sha, Hui Shen, Hong-Wen Deng and Weihua Zhou
Michigan Technological University, Michigan Technological University, affiliation not provided to SSRN, Kennesaw State University, Tulane University, University of California, Irvine, Tulane University, Michigan Technological University, Tulane University - Tulane Center of Bioinformatics and Genomics, Tulane University - Tulane Center of Bioinformatics and Genomics and Michigan Technological University
Downloads 32 (1,290,922)

Abstract:

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Hip fracture, dual-energy X-ray absorptiometry, bone mineral density, machine learning, uncertainty quantification