After commencing his career in engineering, James made the move to medical imaging research at the University of Melbourne, completing a PhD in new techniques for magnetic resonance imaging. With a desire to translate technological advances to improved clinical outcomes, Dr Korte has worked as a researcher at PeterMac since 2018, his research interests include exploiting medical images to improve clinical decision making, radiation treatment delivery and developing personalised treatment positions.
His work in medical imaging includes the early assessment of treatment response following kidney radiotherapy, moving beyond shape measures and using textural information when classifying tumours, and improving clinical efficiency using artificial intelligence to outline radiation-sensitive organs for treatment planning.
James is currently developing a rotating radiotherapy chair[4,5] to provide an upright treatment position for patients who struggle with lying down, which is the current clinical treatment position. The radiotherapy chair is being designed in collaboration with the Radiation Engineering Workshop and Biomedical Engineering Department. The first patients will be imaged as part of a two year clinical trial, supported by our lung cancer and head and neck clinicians. The project is funded by grants from the Peter MacCallum Foundation and the Cancer Council Victoria.
Magna Cum Laude Merit Award for work "The impact of radiomic feature reproducibility on a head and neck cancer radiotherapy response model”, International Society of Magnetic Resonance in Medicine, 2020
Top 5 in the Head and Neck Cancer MRI auto-contouring grand challenge (RT-MAC), American Association of Physicists in Medicine, 2019
Top 5 in the CT ventilation imaging grand challenge (RT-MAC), American Association of Physicists in Medicine, 2019
1. Korte, J. C., Reynolds, H., Lasocki, A., Vanneste, B. G. L., Miclea, R., Backes, W. H., ... & Siva, S. (2020, October). FASTRACK II magnetic resonance imaging sub-study Diffusion and perfusion biomarkers for renal SABR response. In Journal of Physics: Conference Series (Vol. 1662, No. 1, p. 012018).
2. Korte, J.C., Hardcastle, N., Ng, S.P., Clark, B., Kron, T. and Jackson, P., 2021. Cascaded deep learning‐based auto‐segmentation for head and neck cancer patients: Organs at risk on T2‐weighted magnetic resonance imaging. Medical physics, 48(12), pp.7757-7772.
3. Korte, J.C., Cardenas, C., Hardcastle, N., Kron, T., Wang, J., Bahig, H., Elgohari, B., Ger, R., Court, L., Fuller, C.D. and Ng, S.P., 2021. Radiomics feature stability of open-source software evaluated on apparent diffusion coefficient maps in head and neck cancer. Scientific reports, 11(1), pp.1-11.
4. Korte, J., Hardcastle, N., Everitt, S. and Kron, T., 2019. EP-2088 Upright open-source cone beam CT imaging for radiotherapy. Radiotherapy and Oncology, 133, pp.S1152-S1153.
5. Rahim, S., Korte, J., Hardcastle, N., Hegarty, S., Kron, T. and Everitt, S., 2020. Upright radiation therapy—a historical reflection and opportunities for future applications. Frontiers in Oncology, 10, p.213.