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 or
Projects
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Sodium Selenate as a Disease Modifying Treatment for Progressive Supranuclear Palsy (Sodium Selenate for PSP)
O'Brien, T., Bertram, K., Vivash, L., Evans, A. H., Kimber, T. E., O'Sullivan, J. D., Malpas, C., Fielding, J., Velakoulis, D. & Law, M.
1/06/20 → 31/05/25
Project: Research
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Centre of Research Excellence in Neuroimaging
Bammer, R., Desmond, P. M., Bush, A., Breakspear, M. J., Drummond, K. J., Amukotuwa, S., Nowak, A. K., Watts, J., Law, M. & Bladin, C.
National Health and Medical Research Council (NHMRC) (Australia)
1/03/20 → 31/08/25
Project: Research
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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
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Clinical trial to determine the effects of statins on cognition: STAREE-Mind
Ryan, J., Zoungas, S., Law, M., Anderson, C. S., Chong, T., Heritier, S., Harding, I., Naismith, S., Liew, D. & O'Sullivan, M. J.
1/07/21 → 30/06/26
Project: Research
Research output
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BiDaML in practice: collaborative modeling of Big Data Analytics application requirements
Khalajzadeh, H., Simmons, A. J., Verma, T., Abdelrazek, M., Grundy, J., Hosking, J., He, Q., Ratnakanthan, P., Zia, A. & Law, M., 2021, Evaluation of Novel Approaches to Software Engineering: 15th International Conference, ENASE 2020 Prague, Czech Republic, May 5–6, 2020 Revised Selected Papers. Ali, R., Kaindl, H. & Maciaszek, L. A. (eds.). Cham Switzerland: Springer, p. 106-129 24 p. (Communications in Computer and Information Science; vol. 1375).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other
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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 AccessFile1 Citation (Scopus) -
A practical, collaborative approach for modeling big data analytics application requirements
Khalajzadeh, H., Simmons, A., Abdelrazek, M., Grundy, J., Hosking, J., He, Q., Ratnakanthan, P., Zia, A. & Law, M., Jun 2020, Proceedings - 2020 ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings, ICSE-Companion 2020. Rothermel, G. & Bae, D-H. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 256-257 2 p. 3390811Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other
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Clinical utility of deep learning motion correction for T1 weighted MPRAGE MR images
Pawar, K., Chen, Z., Seah, J., Law, M., Close, T. & Egan, G., Dec 2020, In: European Journal of Radiology. 133, 11 p., 109384.Research output: Contribution to journal › Article › Research › peer-review
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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 AccessFile