Projects per year
Personal profile
Biography
The aim of our research is to determine imaging, genomic, other biomarkers in the early diagnosis of neurogenerative diseases (e.g. Alzheimers Disease), apply artificial intelligence for diagnoses and test new therapeutic agents in clinical trials.
Our research centres on pre-clinical and translational clinical imaging in neurological disease but also some non-neurological diseases. We utilize state of the art and ultra-high field MRI, PET, CT, magnetic particle imaging, photon microscopy approaches towards imaging pathology. We also house a data warehouse and repository for imaging, genomics, biomarker, pathology and other data to be used for machine learning, deep learning, artificial intelligence applications in diagnostics and therapeutics. We also perform pre-clinical and clinical trials on novel therapeutics in neurodegenerative diseases and non-neurological diseases.
External positions
Head of Diagnostic and Interventional Radiology research, Alfred Health
Research area keywords
- Neuroscience
- Alzheimer's Disease
- Artificial intelligence
- Imaging
- Radiology, Radiography, Ultrasound, Imaging, Evidence Based Practice
- Traumatic brain injury
- MRI
- Neuroimaging
- Informatics
- Bioinformatics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
- 3 Active
Sodium Selenate as a Disease Modifying Treatment for Progressive Supranuclear Palsy (Sodium Selenate for PSP)
O'Brien, T., Bertram, K., Vivash, L., Evans, A., Kimber, T. E., O'Sullivan, J. D., Malpas, C., Fielding, J., Velakoulis, D. & Law, M.
1/06/20 → 31/05/25
Project: Research
Next Generation of bespoke treatments: Artificial intelligence aiding in prognoses in treatment plans
Law, M. & Seah, J.
18/12/18 → 31/12/21
Project: Research
Research Output
Advanced ADC histogram, perfusion, and permeability metrics show an association with survival and pseudoprogression in newly diagnosed diffuse intrinsic pontine glioma: A report from the pediatric brain tumor consortium
Vajapeyam, S., Brown, D., Billups, C., Patay, Z., Vezina, G., Shiroishi, M. S., Law, M., Baxter, P., Onar-Thomas, A., Fangusaro, J. R., Dunkel, I. J. & Poussaint, T. Y., Apr 2020, In : American Journal of Neuroradiology. 41, 4, p. 718-724 7 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access
File
Microstructural correlates of 23Na relaxation in human brain at 7 Tesla
Kolbe, S. C., Syeda, W., Blunck, Y., Glarin, R., Law, M., Johnston, L. A. & Cleary, J. O., 1 May 2020, In : NeuroImage. 211, 8 p., 116609.Research output: Contribution to journal › Article › Research › peer-review
Open Access
File
Tracer kinetic models as temporal constraints during brain tumor DCE-MRI reconstruction
Lingala, S. G., Guo, Y., Bliesener, Y., Zhu, Y., Lebel, R. M., Law, M. & Nayak, K. S., 1 Jan 2020, In : Medical Physics. 47, 1, p. 37-51 15 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access
Treatment of symptomatic fibroid disease using uterine fibroid embolisation: An Australian perspective
Clements, W., Ang, W. C., Law, M. & Goh, G. S., Jun 2020, In : Australian and New Zealand Journal of Obstetrics and Gynaecology. 60, 3, p. 324-329 6 p.Research output: Contribution to journal › Review Article › Other › peer-review
7-Tesla MRI of the brain in a research subject with bilateral, total knee replacement implants: Case report and proposed safety guidelines
Barisano, G., Culo, B., Shellock, F. G., Sepehrband, F., Martin, K., Stevens, M., Wang, D. J., Toga, A. W. & Law, M., 1 Apr 2019, In : Magnetic Resonance Imaging. 57, p. 313-316 4 p.Research output: Contribution to journal › Article › Other › peer-review
1
Citation
(Scopus)