Dr Kevin Jang
Sydney Medical School | Faculty of Medicine and Health
Kevin is a Radiation Oncology Registrar and Clinical Lecturer at the University of Sydney. He graduated Bachelor of Medicine, Bachelor of Surgery (MBBS) with the H.Neil Smith Prize in 2019. This was followed by Internship/Residency at Nepean and Royal Prince Alfred Hospital, where he developed an interest in Radiation Oncology. In 2023, he commenced five years of Advanced Training through the Royal Australian and New Zealand College of Radiologists (NSW Training Network).
Radiomics, Machine Learning, Cancer Imaging, History/Philosophy of Medicine
Member of the Academy of Medical Educators (MAcadMEd) - United Kingdom
Royal Australian and New Zealand College of Radiologists (RANZCR) - Trainee Member
European Society for Therapeutic Radiology and Oncology (ESTRO) - Trainee Member
American Society for Radiation Oncology (ASTRO)- International Member-in-Training
The Royal Society of Arts (London) - Fellow
University of Sydney Cancer Research Network- Member
Sydney Clinical Imaging Network- Member
Cancer Institute of NSW- Reviewer
Australian Medical Association- Member
NSW/ACT Young Achiever of the Year - Finalist (2023) - 7News Australia
Early Career Research Scholarship (2022) - The Avant Foundation
Fellowship (2022) - The Royal Society of Arts, London
Professor Andrew Kaye Poster Prize - Co-Author (2022) - Neurosurgical Society of Australasia
Australian Government RTP Scholarship (2021) - The University of Sydney
DPET Funding Grant (2021) - Nepean Hospital and Health Education and Training Institute
Summer Research Scholarship (2019-2020) - The University of Sydney
H. Neil Smith Prize (2019) - James Cook University
Summer Research Scholarship (2018-2019) - Macquarie University
Publications
Book Chapters
- Jian, A., Jang, K., Russo, C., Liu, S., Di Ieva, A. (2021). Foundations of multiparametric brain tumour imaging characterization using machine learning. In Victor E. Staartjes, Luca Regli, Carlo Serra (Eds.), Machine Learning in Clinical Neuroscience, (pp. 183-193). Switzerland: Springer. [More Information]
Journals
- Mulcahy, M., Elalingam, T., Jang, K., D'Souza, M., Tait, M. (2021). Bilateral cervical plexus block for anterior cervical spine surgery: study protocol for a randomised placebo-controlled trial. Trials, 22(1), 424. [More Information]
- Jian, A., Jang, K., Manuguerra, M., Liu, S., Magnussen, J., Di Ieva, A. (2021). Machine Learning for the Prediction of Molecular Markers in Glioma on Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis. Neurosurgery, 89(1), 31-44. [More Information]
- Jang, K. (2021). Nicolaus Steno and the Cartesian Brain. Medicina Historica, 5(1), e2021003.
2021
- Mulcahy, M., Elalingam, T., Jang, K., D'Souza, M., Tait, M. (2021). Bilateral cervical plexus block for anterior cervical spine surgery: study protocol for a randomised placebo-controlled trial. Trials, 22(1), 424. [More Information]
- Jian, A., Jang, K., Russo, C., Liu, S., Di Ieva, A. (2021). Foundations of multiparametric brain tumour imaging characterization using machine learning. In Victor E. Staartjes, Luca Regli, Carlo Serra (Eds.), Machine Learning in Clinical Neuroscience, (pp. 183-193). Switzerland: Springer. [More Information]
- Jian, A., Jang, K., Manuguerra, M., Liu, S., Magnussen, J., Di Ieva, A. (2021). Machine Learning for the Prediction of Molecular Markers in Glioma on Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis. Neurosurgery, 89(1), 31-44. [More Information]
2020
- Jang, K., Rosenfeld, J., Di Ieva, A. (2020). Paulus of Aegina and the Historical Origins of Spine Surgery. World Neurosurgery, 133, 291-301. [More Information]
- Jang, K., Russo, C., Di Ieva, A. (2020). Radiomics in gliomas: clinical implications of computational modeling and fractal-based analysis. Neuroradiology, 62(7), 771-790. [More Information]