| Pulmonary nodule classification with deep residual networks A Nibali, Z He, D Wollersheim International journal of computer assisted radiology and surgery 12, 1799-1808, 2017 | 283 | 2017 |
| Numerical coordinate regression with convolutional neural networks A Nibali, Z He, S Morgan, L Prendergast arXiv preprint arXiv:1801.07372, 2018 | 266 | 2018 |
| 3d human pose estimation with 2d marginal heatmaps A Nibali, Z He, S Morgan, L Prendergast 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1477-1485, 2019 | 123 | 2019 |
| Semi-supervised learning for medical image classification using imbalanced training data T Huynh, A Nibali, Z He Computer methods and programs in biomedicine 216, 106628, 2022 | 70 | 2022 |
| Trajic: An effective compression system for trajectory data A Nibali, Z He IEEE Transactions on Knowledge and Data Engineering 27 (11), 3138-3151, 2015 | 59 | 2015 |
| Extraction and Classification of Diving Clips from Continuous Video Footage A Nibali, Z He, S Morgan, D Greenwood 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops …, 2017 | 25 | 2017 |
| Pose is all you need: The pose only group activity recognition system (pogars) H Thilakarathne, A Nibali, Z He, S Morgan Machine Vision and Applications 33 (6), 95, 2022 | 19 | 2022 |
| ASPset: An outdoor sports pose video dataset with 3D keypoint annotations A Nibali, J Millward, Z He, S Morgan Image and Vision Computing 111, 104196, 2021 | 18 | 2021 |
| A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture B Victor, Z He, A Nibali arXiv preprint arXiv:2210.01272, 2022 | 17 | 2022 |
| Enhancing trajectory prediction using sparse outputs: application to team sports B Victor, A Nibali, Z He, DL Carey Neural Computing and Applications 33, 11951-11962, 2021 | 10 | 2021 |
| The detection, tracking, and temporal action localisation of swimmers for automated analysis A Hall, B Victor, Z He, M Langer, M Elipot, A Nibali, S Morgan Neural Computing and Applications 33, 7205-7223, 2021 | 10 | 2021 |
| Remote monitoring of rodenticide depletion A Nibali, R Ross, L Parsons IEEE Internet of Things Journal 6 (4), 7116-7121, 2019 | 10 | 2019 |
| Numerical coordinate regression with convolutional neural networks. arXiv 2018 A Nibali, Z He, S Morgan, L Prendergast arXiv preprint arXiv:1801.07372, 0 | 9 | |
| Audio-based deep learning algorithm to identify alcohol inebriation (ADLAIA) AA Bonela, Z He, A Nibali, T Norman, PG Miller, E Kuntsche Alcohol 109, 49-54, 2023 | 8 | 2023 |
| Validity of neural networks in determining lower limb kinematics in stationary cycling RR Bini, VB Nascimento, A Nibali Sport Sciences for Health 20 (1), 127-136, 2024 | 4 | 2024 |
| Selection of object detections using overlap map predictions MS Rana, A Nibali, Z He Neural Computing and Applications 34 (21), 18611-18627, 2022 | 4 | 2022 |
| The promise of zero-shot learning for alcohol image detection: comparison with a task-specific deep learning algorithm AA Bonela, A Nibali, Z He, B Riordan, D Anderson-Luxford, E Kuntsche Scientific Reports 13 (1), 11891, 2023 | 3 | 2023 |
| Automated repair of fragmented tracks with 1D CNNs MS Rana, A Nibali, Z He, S Morgan Image and Vision Computing 101, 103982, 2020 | 3 | 2020 |
| How to apply zero‐shot learning to text data in substance use research: an overview and tutorial with media data B Riordan, AA Bonela, Z He, A Nibali, D Anderson‐Luxford, E Kuntsche Addiction 119 (5), 951-959, 2024 | 2 | 2024 |
| Group activity recognition using unreliable tracked pose H Thilakarathne, A Nibali, Z He, S Morgan arXiv preprint arXiv:2401.03262, 2024 | 2 | 2024 |
Zhen HeAssociate Professor, La Trobe UniversityVerified email at latrobe.edu.au
