Research output per year
Research output per year
Personal profile
Funding overview
- NHMRC Project Grants APP1164804, Gottardo N, Endersby R, Ebert MA, McDonald K, Reducing the harm caused by radiation for children with brain cancer: bridging the gap between research and practice, 2019 – 2021 $666,109.60
- Commonwealth Department of Health Medical Research Future Fund APP1152501, Scott A, Nowak A, Francis R, Gan H, Hicks R, Foroudi F, Koh E-S, Rosenthal M, Khasraw M, Ebert M Prospective, multicentre trial evaluating FET-PET in high grade glioma, 2018 – 2023 $1,520,000
- Cure Brain Cancer Foundation Innovation grants, Gottardo N, Endersby R, Johns T, Ebert M Sensitising brain cancer to conventional treatment using novel drugs, 2018-2019 $200,000
- NHMRC Project Grants APP1126955, Haworth A, Williams S, Ebert MA, Reynolds H, Dowling J, Wraith D, Liney G, Mears C, Betts J, Murphy D Biofocussed prostate cancer RadioTherapy (BiRT): A personalised approach to delivering the right dose to the right place, 2017-2020 $599,365.40
- NHMRC Project Grants APP1102198, Holloway L, Haworth A, Dowling J, Ebert MA, Jameson M, Kron T, Vinod S, Leong T, Greer P, Creutzberg, C, Ensuring radiotherapy clinical trials provide the correct answer, 2016-2020, $566,598.20
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Correlation of Preclinical In Vivo Imaging Modalities and Immunohistochemistry for Tumor Hypoxia and Vasculature
D'alonzo, R. A., Keam, S., Hoang, T. S., Gill, S., Rowshanfarzad, P., Nowak, A. K., Cook, A. M. & Ebert, M. A., Feb 2025, In: In Vivo. 39, 1, p. 55-79 25 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Evaluating the impact of the Radiomics Quality Score: a systematic review and meta-analysis
Barry, N., Kendrick, J., Molin, K., Li, S., Rowshanfarzad, P., Hassan, G. M., Dowling, J., Parizel, P. M., Hofman, M. S. & Ebert, M. A., Mar 2025, In: European Radiology. 35, 3, p. 1701-1713 13 p., e240262.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Evaluating the prognostic value of radiomics and clinical features in metastatic prostate cancer using [68Ga]Ga-PSMA-11 PET/CT
Molin, K., Barry, N., Gill, S., Hassan, M., Francis, R., Ong, J. S. L., Ebert, M. & Kendrick, J., 9 Jan 2025, (E-pub ahead of print) In: Physical and Engineering Sciences in Medicine. p. 1-13 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Fractionated low-dose radiotherapy primes the tumor microenvironment for immunotherapy in a murine mesothelioma model
D’Alonzo, R. A., Keam, S., Gill, S., Rowshanfarzad, P., Nowak, A. K., Ebert, M. A. & Cook, A. M., 3 Jan 2025, (E-pub ahead of print) In: Cancer immunology, immunotherapy. 74, 2, 44.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Guidance on selecting and evaluating AI auto-segmentation systems in clinical radiotherapy: insights from a six-vendor analysis
Rusanov, B., Ebert, M. A., Sabet, M., Rowshanfarzad, P., Barry, N., Kendrick, J., Alkhatib, Z., Gill, S., Dass, J., Bucknell, N., Croker, J., Tang, C., White, R., Bydder, S., Taylor, M., Slama, L. & Mukwada, G., 13 Jan 2025, (E-pub ahead of print) In: Physical and Engineering Sciences in Medicine. 16 p., e13873.Research output: Contribution to journal › Article › peer-review
Open Access
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Clinical Evaluation of Deep Learning for Identification and Prognosis in Metastatic Prostate Cancer
Kendrick, J. (Investigator 01), Ebert, M. (Investigator 02), Hassan, M. (Investigator 03), Barry, N. (Investigator 04), Rowshan Farzad, P. (Investigator 05), Rusanov, B. (Investigator 06), Ong, J. (Investigator 07) & Dell'Oro, M. (Investigator 08)
Department of Health (Western Australia)
1/01/25 → 1/01/27
Project: Research
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Unveiling Glioblastoma complexity: development of an analysis pipeline to uncover insights from FET PET imaging utilizing machine learning and data from Australians largest glioblastoma clinical trial
Ebert, M. (Investigator 01), Safdar, S. (Investigator 02), Francis, R. (Investigator 03), Koh, E.-S. (Investigator 04) & Barry, N. (Investigator 05)
Charlies Foundation for Research
1/01/24 → 30/09/25
Project: Research
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IFIRST trial imaging database
Ebert, M. (Investigator 01), Kennedy, A. (Investigator 02) & Francis, R. (Investigator 03)
Medical Research Future Fund MRFF
8/10/21 → 31/12/26
Project: Research
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PRIMARY2 trial imaging data support via XNAT
Francis, R. (Investigator 01), Ebert, M. (Investigator 02) & Kennedy, A. (Investigator 03)
1/08/21 → 31/07/25
Project: Research
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Mixed radiotherapy fractionation: modulating tumour microenvironment to stimulate and enhance immunotherapy
Ebert, M. (Investigator 01), Cook, A. (Investigator 02), Nowak, A. (Investigator 03), Gill, S. (Investigator 04) & Jeraj, R. (Investigator 05)
1/05/19 → 31/07/25
Project: Research