Description:
Date: Monday, 9 February 2026
Time: 1:00–2:00 pm
Format: Online Seminar
Host: Michael Bailey (ACPSEM & Illawarra Cancer Care Centre)
This seminar will explore both the clinical and technical dimensions of synthetic CT, with presentations from two leading researchers working at the interface of AI, imaging, and clinical translation.
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Topics
- Clinical applications of synthetic imaging
- Clinical implementation and validation
- MRI-only treatment planning in radiation therapy
- Mainstream technical methods for synthetic CT
- Comparative results across current approaches
- Key insights into synthetic CT algorithm design
Speakers
Dr Bowen Xin
Dr Bowen Xin is an imaging AI scientist at CSIRO’s Australian e-Health Research Centre. His research focuses on medical computer vision, including image synthesis, segmentation, and translational imaging analysis.
He has led teams to first place in multiple international medical AI competitions, published in leading journals such as eBioMedicine (The Lancet) and Medical Image Analysis, and secured over $400,000 in competitive grant funding as an early-career researcher.
His current work centres on synthetic CT development for lung and abdominal cancers, with projects progressing toward clinical validation in collaboration with clinical, industry, and university partners.
Peter Greer
Peter Greer is Chief Medical Physicist at Calvary Mater Newcastle Hospital, with research interests spanning treatment verification and MRI in radiation therapy.
In collaboration with CSIRO’s Biomedical Imaging Research Group, he has been involved in the research, development, and implementation of MRI-only treatment planning since 2005.
This work has directly contributed to the clinical adoption of MRI-only workflows, including contemporary deep-learning-based commercial solutions now used in radiation oncology planning and adaptive treatments.
Brani Rusanov
Brani is a PhD candidate at UWA and has worked heavily in synthetic image generation model development and validation. He also recently finished his TEAP training at Sir Charles Gairdner Hospital and is actively involved in AI auto-segmentation and synthetic image generation research.
This session will be of interest to medical physicists, researchers, and clinicians working with AI, imaging, and advanced treatment planning.
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