Researcher

Fields of Research (FoR)

Pattern Recognition and Data Mining, Control Systems, Robotics and Automation, Image Processing, Radiation Therapy, Medical Physics, Oncology and Carcinogenesis

Biography

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...view more

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 learning models for various cancer prediction applications.

Professional affiliation:
Institute of Electrical and Electronic Engineers (IEEE) - member
The Trans Tasman Radiation Oncology Group (TROG) - Affiliate member

Journal Review:
Pattern Recognition
Radiotherapy and Oncology
Journal of Medical Imaging and Radiation Oncology
Sensors
Sensor Review
IEEE Robotics and Automation Letters
IEEE Reviews in Biomedical Engineering
Physical and Engineering Sciences in Medicine
Expert Systems with Applications
Artificial Intelligence in Medicine


My Grants

 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

 


My Qualifications

  • PhD
  • Bachelor of Engineering (Electrical)

My Research Supervision


Supervision keywords


Areas of supervision

machine learning in medicine and cancer therapy, medical image analysis, distributed computing, cancer therapy decision support systems.


Currently supervising

Co-supervising two PhD students at UNSW and two PhD students at University of Wollongong

 

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Location

Ingham Institute for Applied Medical Research

1 Campbell Street Liverpool, NSW, 2170

Contact

+61 2 8738 9220