| Multiple pedestrian tracking using colour and motion models Z Jiang, DQ Huynh, W Moran, S Challa, N Spadaccini 2010 International Conference on Digital Image Computing: Techniques and …, 2010 | 40 | 2010 |
| Multiple pedestrian tracking from monocular videos in an interacting multiple model framework Z Jiang, DQ Huynh IEEE transactions on image processing 27 (3), 1361-1375, 2017 | 39 | 2017 |
| Tracking pedestrians using smoothed colour histograms in an interacting multiple model framework Z Jiang, DQ Huynh, W Moran, S Challa 2011 18th IEEE International Conference on Image Processing, 2313-2316, 2011 | 17 | 2011 |
| Coronary vessel segmentation using multiresolution and multiscale deep learning Z Jiang, C Ou, Y Qian, R Rehan, A Yong Informatics in Medicine Unlocked 24, 100602, 2021 | 12 | 2021 |
| Analyzing visual-search observers using eye-tracking data for digital breast tomosynthesis images Z Jiang, M Das, HC Gifford JOSA A 34 (6), 838-845, 2017 | 11 | 2017 |
| Combining background subtraction and temporal persistency in pedestrian detection from static videos Z Jiang, DQ Huynh, W Moran, S Challa 2013 IEEE International Conference on Image Processing, 4141-4145, 2013 | 11 | 2013 |
| Automated tracking approach with ant colonies for different cell population density distribution M Lu, B Xu, Z Jiang, A Sheng, P Zhu, J Shi Soft Computing 21, 3977-3992, 2017 | 8 | 2017 |
| Appearance and motion based data association for pedestrian tracking Z Jiang, DQ Huynh, W Moran, S Challa Image and Vision Computing New Zealand, 459-464, 2011 | 7 | 2011 |
| Towards using eye-tracking data to develop visual-search observers for x-ray breast imaging Z Jiang, Z Liang, M Das, HC Gifford Medical Imaging 2015: Image Perception, Observer Performance, and Technology …, 2015 | 4 | 2015 |
| A novel multiobject tracking approach in the presence of collision and division M Lu, B Xu, A Sheng, Z Jiang, L Wang, P Zhu, J Shi Computational and Mathematical Methods in Medicine 2015 (1), 695054, 2015 | 2 | 2015 |
| Evaluating recalibrating AI models for breast cancer diagnosis in a new context: insights from transfer learning, image enhancement and high-quality training data integration Z Jiang, Z Gandomkar, PD Trieu, S Tavakoli Taba, ML Barron, P Obeidy, ... Cancers 16 (2), 322, 2024 | 1 | 2024 |
| Part-based data association for visual tracking Z Jiang, DQ Huynh, J Zhang, Q Wu 2017 International Conference on Digital Image Computing: Techniques and …, 2017 | 1 | 2017 |
| Tracking multiple pedestrians through detection failures in videos Z Jiang, B Xu 2015 International Conference on Control, Automation and Information …, 2015 | 1 | 2015 |
| AI for interpreting screening mammograms: implications for missed cancer in double reading practices and challenging-to-locate lesions Z Jiang, Z Gandomkar, PD Trieu, ST Taba, ML Barron, SJ Lewis Scientific Reports 14 (1), 11893, 2024 | | 2024 |
| Reset-Free Reinforcement Learning via Multi-State Recovery and Failure Prevention for Autonomous Robots X Zhou, B Xu, Z Jiang, J Li, B Nener Tsinghua Science and Technology 29 (5), 1481-1494, 2024 | | 2024 |
| Familiarity, confidence and preference of artificial intelligence feedback and prompts by Australian breast cancer screening readers PDY Trieu, ML Barron, Z Jiang, ST Taba, Z Gandomkar, SJ Lewis Australian Health Review, 2024 | | 2024 |
| The investigation of AI models on cancer sizes of screening mammograms Z Jiang, Z Gandomkar, PD Trieu, ST Taba, ML Barron, SJ Lewis The Breast 74, 2024 | | 2024 |
| Artificial intelligence can improve cancer detection in a double reading screening mammography scenario Z Jiang, Z Gandomkar, PDY Trieu, ST Taba, ML Barron, SJ Lewis Medical Imaging 2024: Image Perception, Observer Performance, and Technology …, 2024 | | 2024 |
| The quality of training data for mammographic AI systems: investigating factors to reduce hype and increase clinical translation Z Jiang, PD Trieu, Z Gandomkar, ST Taba, ML Barron, SJ Lewis Digital Health Week 2 (1), 2023 | | 2023 |
| How do you solve a problem like concordance? a study of radiologists’ clinical annotations for mammographic AI training Z Jiang, PD Trieu, Z Gandomkar, ST Taba, ML Barron, SJ Lewis Medical Imaging 2023: Image Perception, Observer Performance, and Technology …, 2023 | | 2023 |
