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02/01/2023
ImageNomer: developing an fMRI and omics visualization tool to detect racial bias in functional connectivity
It can be difficult to identify trends and perform quality control in la...
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10/03/2022
Hip Fracture Prediction using the First Principal Component Derived from FEA-Computed Fracture Loads
Hip fracture risk assessment is an important but challenging task. Quant...
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10/03/2022
Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength
Background and aim: Hip fracture can be devastating. The proximal femora...
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01/13/2022
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery
Many statistical machine approaches could ultimately highlight novel fea...
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02/03/2021
A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images
Automatic CT segmentation of proximal femur is crucial for the diagnosis...
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01/25/2021
A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms
In stable coronary artery disease (CAD), reduction in mortality and/or m...
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06/09/2020
A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images
Purpose: Proximal femur image analyses based on quantitative computed to...
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04/29/2020