Tag Archives: Machine learning
Huge congratulations to our PhD candidates, Nathaniel, Jake, and Brani for receiving the School teaching award for “Programs that Enhance Learning”. These legends have been running the Medical Physics Machine Learning Cluster. Hats off to all of them especially Nathaniel who coordinates the cluster. We are so proud of you guys! ========================= For more informationRead more…
Congratulations to UWA Medical Physics PhD candidates: Brani Rusanov, Jake Kendrick and Nathaniel Barry for winning the 2021 WA Health Hackathon among 16 participating teams. Very well done young men! We are proud of you. Here is a short description of the event: The 2021 WA Health Hackathon held on 22nd August consisted of 16Read more…
On the 14th of February four of our Medical Physics masters students, Nathaniel Barry, Dane Lynch, Jake Kendrick, Brani Rusanov, organized a workshop on “Machine Learning in Radiotherapy” at Sir Charles Gairdner Hospital. The presentation outlined various applications of machine learning along the external beam radiotherapy workflow from creating synthetic CT datasets from MRI imagesRead more…
On May 28, Dr. Hari Kirupananther, MBBS Hons from Fiona Stanley Hospital, Western Australia, presented on the Artificial Intelligence (AI) in Oncology and Medical Radiations. The event was organised by the Radiation Oncology Workforce Western Australia consortium of state radiotherapy institutions, funded by WA Health’s Cancer and Palliative Care Network, and hosted at the Sir Charles Gairdner Hospital (SCGH). Abstract:Read more…
During February 2019 the Medical Physics group received a visit from Prof. Renaud de Crevoisier and Prof. Oscar Acosta from the Laboratoire Traitement du Signal et de l’Image at the University of Rennes, France, joint supervisors of PhD student Eugenia Mylona who is spending four months with our group. Professors de Crevoisier and Acosta undertakeRead more…
