Optimized sampling and parameter estimation for quantification in whole body PET. - Kevin Ho-Shon; Dagan Feng 001; Randall A. Hawkins; Steven R. Meikle; Michael J. Fulham; Xianjin Li (IEEE Trans. Biomed. Eng., 1996)

Impact of MRI Protocols on Alzheimer's Disease Detection. - Saruar Alam; Len Hamey; Kevin Ho-Shon (DICTA, 2018)

Modality Classification and Concept Detection in Medical Images Using Deep Transfer Learning. - Sonit Singh; Kevin Ho-Shon; Sarvnaz Karimi; Len Hamey (IVCNZ, 2018)

Biomedical Concept Detection in Medical Images: MQ-CSIRO at 2019 ImageCLEFmed Caption Task. - Sonit Singh; Sarvnaz Karimi; Kevin Ho-Shon; Len Hamey (CLEF (Working Notes), 2019)

Registration Based Data Augmentation for Multiple Sclerosis Lesion Segmentation. - Ava Assadi Abolvardi; Len Hamey; Kevin Ho-Shon (DICTA, 2019)

From Chest X-Rays to Radiology Reports: A Multimodal Machine Learning Approach. - Sonit Singh; Sarvnaz Karimi; Kevin Ho-Shon; Len Hamey (DICTA, 2019)

Convolutional Neural Networks for Prostate Magnetic Resonance Image Segmentation. - Tahereh Hassanzadeh; Leonard G. C. Hamey; Kevin Ho-Shon (IEEE Access, 2019)

UNET-Based Multi-Task Architecture for Brain Lesion Segmentation. - Ava Assadi Abolvardi; Len Hamey; Kevin Ho-Shon (DICTA, 2020)

Show, tell and summarise: learning to generate and summarise radiology findings from medical images. - Sonit Singh; Sarvnaz Karimi; Kevin Ho-Shon; Len Hamey (Neural Comput. Appl., 2021)