Dr Matthew Field
Lecturer
- PhD
- Bachelor of Engineering (Electrical)
Medicine & Health
School of Clinical Medicine
Dr Matthew Field is a researcher at the South Western Sydney Clinical School and the Ingham Institute for Applied Medical Research within the Medical Physics research team. Broadly he supports data science and machine learning projects within a collaborative network of radiation oncology and medical physics departments.
Matthew leads the technical development of a project to connect a network of hospital-based radiotherapy departments (nationally and internationally) to develop machine lea...
Phone
+61 2 8738 9220
E-mail
matthew.field@unsw.edu.au
Location
Ingham Institute for Applied Medical Research
1 Campbell Street Liverpool, NSW, 2170
- Publications
- Grants
- Teaching and Supervision
Chief investigator for one fellowship grant and co-investigator for 5 grants.
Date |
Investigators | Source | Title | Funds awarded |
2018 - 2021 | Holloway L., Sowmya A., Dowling J., Vinod S., Field M., Jameson M. | UNSW Biomedical seed grant | Learning from and Improving target volume delineation in radiotherapy | $443,588 |
2019 - 2022 | Field M. | Cancer Institute NSW Early Career Researcher Fellowship [ECF181215] | Improving lung cancer outcomes with data-driven prognostic imaging biomarkers in a collaborative medical imaging network | $420,251 |
2019 | Haidar A., Field M., et al. | Ingham Institute Data and Cancer Research Grant | Unsupervised Machine Learning for Detecting and Fixing Variations in Cancer Patients Medical Records | $15,000 |
2019 | Haidar A., Field M., et al. | Ingham Institute Data and Cancer Research Grant | Ensemble learning in Cancer Related Applications | $25,000 |
2019 | Huang X., Holloway L., Field M., et al. | Ingham Institute Data and Cancer Research Grant | Analyzing lung cancer guideline compliance with patient treatment outcomes using deep learning | $20,000 |
2021 - 2023 | Holloway L., Field M., et al. | Australian Research Data Commons - Platforms Program | Australian Cancer Data Network: distributed learning from clinical data | $997,000 |
-
Date
- 2018 - 2021
- Investigators
- Holloway L., Sowmya A., Dowling J., Vinod S., Field M., Jameson M.
- Source
- UNSW Biomedical seed grant
- Title
- Learning from and Improving target volume delineation in radiotherapy
- Funds awarded
- $443,588
-
-
Date
- 2019 - 2022
- Investigators
- Field M.
- Source
- Cancer Institute NSW Early Career Researcher Fellowship [ECF181215]
- Title
- Improving lung cancer outcomes with data-driven prognostic imaging biomarkers in a collaborative medical imaging network
- Funds awarded
- $420,251
-
-
Date
- 2019
- Investigators
- Haidar A., Field M., et al.
- Source
- Ingham Institute Data and Cancer Research Grant
- Title
- Unsupervised Machine Learning for Detecting and Fixing Variations in Cancer Patients Medical Records
- Funds awarded
- $15,000
-
-
Date
- 2019
- Investigators
- Haidar A., Field M., et al.
- Source
- Ingham Institute Data and Cancer Research Grant
- Title
- Ensemble learning in Cancer Related Applications
- Funds awarded
- $25,000
-
-
Date
- 2019
- Investigators
- Huang X., Holloway L., Field M., et al.
- Source
- Ingham Institute Data and Cancer Research Grant
- Title
- Analyzing lung cancer guideline compliance with patient treatment outcomes using deep learning
- Funds awarded
- $20,000
-
-
Date
- 2021 - 2023
- Investigators
- Holloway L., Field M., et al.
- Source
- Australian Research Data Commons - Platforms Program
- Title
- Australian Cancer Data Network: distributed learning from clinical data
- Funds awarded
- $997,000
-
My Research Supervision
Co-supervising two PhD students at UNSW and two PhD students at University of Wollongong