Projects |
|
Research Projects |
1. Applications of Machine Learning /
Deep Learning in Healthcare:
a.
Segmentation and classification of
lesions
b. Diagnosis, grading, treatment planning and response assessment of Cancer
c. Using Multiparametric MRI features
2. T1-Perfusion / Dynamic Contrast
Enhanced (DCE) MRI
a.
Developments of methods/techniques
and software tools for data analysis
b.
Evaluating clinical potential for:
i. Intracranial mass lesions
ii. Head & Neck Cancer
iii. Breast Cancer
3. Chemical Exchange Saturation
Transfer (CEST) MRI
a.
Developments of methods/techniques
and software tools for data analysis
b.
Clinical applications (Diagnosis):
i. Intracranial mass lesions
4. Quantitative Multiparametric MRI (DCE-MRI, Diffusion MRI, SWI MRI, T1, T2, etc.)
a.
Developments of methods/techniques,
protocols and software tools for data analysis
b.
Evaluating clinical potential for:
i. Intracranial mass lesions
ii. Head & Neck Cancer
iii. Breast Cancer
5. Medical Image/Signal Processing and
Data Analysis
a.
Developments of methods and software
tools for
i. Preprocessing
ii. Segmentation
iii. Registration
iv. Quantitation
b.
Evaluating Clinical application for:
i. Intracranial mass lesions
ii. Breast Cancer
iii. Osteoarthritis
iv. Liver Fibrosis