| A deep learning-based approach for gait analysis in Huntington disease S Zhang, SK Poon, K Vuong, A Sneddon, CT Loy MEDINFO 2019: Health and wellbeing e-networks for all, 477-481, 2019 | 31 | 2019 |
| Deep learning based dental implant failure prediction from periapical and panoramic films C Zhang, L Fan, S Zhang, J Zhao, Y Gu Quantitative Imaging in Medicine and Surgery 13 (2), 935, 2023 | 16 | 2023 |
| Female serotonin transporter‐knockout rat: a potential model of irritable bowel syndrome Z Bi, S Zhang, Y Meng, Y Feng, Y Wang, E Wang, X Pan, R Zhu, H Fan, ... The FASEB Journal 35 (7), e21701, 2021 | 15 | 2021 |
| Deep learning-based motion estimation for uninterrupted tracking of awake rodents in PET S Zhang, M Balamurali, A Kyme 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018 | 5 | 2018 |
| Causal heterogeneity discovery by bottom-up pattern search for personalised decision making J Li, L Liu, S Zhang, S Ma, TD Le, J Liu Applied Intelligence 53 (7), 8180-8194, 2023 | 4* | 2023 |
| A new and automated risk prediction of coronary artery disease using clinical endpoints and medical imaging-derived patient-specific insights: protocol for the retrospective … D Adikari, R Gharleghi, S Zhang, L Jorm, A Sowmya, D Moses, SY Ooi, ... BMJ open 12 (6), e054881, 2022 | 3* | 2022 |
| Assessing Encoder-Decoder Architectures for Robust Coronary Artery Segmentation S Zhang, R Gharleghi, S Singh, A Sowmya, S Beier 2023 38th International Conference on Image and Vision Computing New Zealand …, 2023 | | 2023 |
| A Novel Approach to Coronary Artery Tree Generation M Glombek, S Zhang, C Shen, R Gharleghi, D Li, S Beier Heart, Lung and Circulation 32, S223, 2023 | | 2023 |
| Augmented Deep Learning-Based Motion Estimation for Extreme Pose Tracking of Awake Rodents S Zhang, M Balamurali, A Kyme 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022 | | 2022 |
