Dr Shenjun Zhong is currently the research fellow and informatics officer in Monash Biomedical Imaging (MBI), Monash University. He obtained the doctoral degree in Monash University, working on diffusion MRI tractography and GPU CUDA C/C++ accelerated implementations (2016). Shenjun worked on various deep learning applications in medical imaging, including using CNN for MRI motion correction, object detection and image segmentation, and using LSTM for diffusion streamline embedding and generation. He worked as a data scientist in Telstra for large scale deep learning-based chatbots and NLP projects. Shenjun’s research interests are deep learning applications in computer vision and NLP, particularly in the medical imaging domain.
The groundbreaking Australian Mild Traumatic Brain Injury (AUS-mTBI) study will see thousands of volunteers from across the country who have had a recent concussion have the option to opt-in to repo
01 August 2024
16 March 2024
The Commonwealth Government Department of Education has today announced National Imaging Facility (NIF) will receive $28m under the National Collaborative Research Infrastructure Strategy (NCRIS), to
19 October 2023
The Victorian Government has invested $14.83m in National Imaging Facility’s (NIF) research infrastructure in Victoria, in partnership with the Victorian Biomedical Imaging Capability (VBIC), equati
04 July 2023