We’re interested in developing imaging techniques, machine learning algorithms, and combinations of them for diagnosis of human diseases and prediction of clinical outcomes. Below are highlighted current projects under active investigation.
Degenerative neuro-disease prediction based on MRI
Body tissue segmentation using deep learning
Bone Mineral Density prediction using plain radiographs via deep learning
Multiple sclerosis lesion segmentation with deep learning
A resolution converter using deep learning to make modified SED
Tactile illusion prediction using deep learning
Guided MRA Super Resolution
Osteonecrosis of the femoral head stage classification using deep learning
White matter hyperintensity volume estimation via deep learning