Dr Gobert Lee

Lecturer in Statistical Science

College of Science and Engineering

place Tonsley (4.10)
GPO Box 2100, Adelaide 5001, South Australia
Qualifications

PhD, Flinders University

Honours, awards and grants
  • Australian Mathematical Society, WIMSIG Cheryl E Praeger Award, 2019
  • Australian Mathematical Society, WIMSIG Cheryl E Praeger Award, 2017
  • FSE Reinventing Teaching and Learning grant, 2016
  • Channel 7 Children's Research Foundation grant, 2012-2014
  • Flinders Establishment Grant 2011-2013
  • Lyn Wrigley Breast Cancer Research & Development Fund, Breast Cancer Research Grant, 2011
Research expertise
Artificial intelligence and image processing
Statistics
Research interests

My primary research areas are application of Artificial Intelligence and Machine Learning in Medical Image Analysis as well as statistical issues related to radiologic studies. More specifically, my research focuses on Machine Learning for breast cancer detection in screening mammograms, auto-contouring of brain tumor and organs at risk for radiotherapy as well as Multi-organ segmentation on CT images and construction of human voxel models for radiation dose calculation.

Teaching interests

I have previously taught/co-taught

  • MDSC2000 Skills for Medical Scientists 2
  • STAT2702 Probability
  • STAT2700 Applied Statistics Laboratory
  • STAT1412 Data Analysis Laboratory
  • STAT1412 Data Analysis Laboratory (offshore)
Topic coordinator
STAT1132 Statistics 1
STAT2701 Statistical Project
STAT3701 Statistical Science
COMP7702 Pattern Recognition
Topic lecturer
STAT1132 Statistics 1
STAT3701 Statistical Science
STAT2701 Statistical Project
Supervisory interests
Medical image analysis
Statistics
Publications
Further information

Prospective PHD students: email gobert.lee@flinders.edu.au

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Current Projects in Medical Image Analysis/Statistical Pattern Recognition

1.Full-Body CT Segmentation (png)

2.Temporal Breast Cancer Detection (png)

3.Breast Cancer Detection on Dense Breast (png)

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