| Multiple sclerosis lesion analysis in brain magnetic resonance images: techniques and clinical applications Y Ma, C Zhang, M Cabezas, Y Song, Z Tang, D Liu, W Cai, M Barnett, ... IEEE Journal of Biomedical and Health Informatics 26 (6), 2680-2692, 2022 | 46 | 2022 |
| MS-GAN: GAN-based semantic segmentation of multiple sclerosis lesions in brain magnetic resonance imaging C Zhang, Y Song, S Liu, S Lill, C Wang, Z Tang, Y You, Y Gao, ... 2018 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2018 | 44 | 2018 |
| A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis M Barnett, D Wang, H Beadnall, A Bischof, D Brunacci, H Butzkueven, ... npj Digital Medicine 6 (1), 196, 2023 | 20 | 2023 |
| Multiple sclerosis lesion segmentation: revisiting weighting mechanisms for federated learning D Liu, M Cabezas, D Wang, Z Tang, L Bai, G Zhan, Y Luo, K Kyle, L Ly, ... Frontiers in Neuroscience 17, 1167612, 2023 | 17 | 2023 |
| LG-Net: lesion gate network for multiple sclerosis lesion inpainting Z Tang, M Cabezas, D Liu, M Barnett, W Cai, C Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 16 | 2021 |
| 3D conditional adversarial learning for synthesizing microscopic neuron image using skeleton-to-neuron translation Z Tang, D Zhang, Y Song, H Wang, D Liu, C Zhang, S Liu, H Peng, W Cai 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1775-1779, 2020 | 12 | 2020 |
| Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies S Aja-Fernández, C Martín-Martín, Á Planchuelo-Gómez, A Faiyaz, ... NeuroImage: Clinical 39, 103483, 2023 | 10 | 2023 |
| Automatic 3D single neuron reconstruction with exhaustive tracing Z Tang, D Zhang, S Liu, Y Song, H Peng, W Cai Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 8 | 2017 |
| High angular diffusion tensor imaging estimation from minimal evenly distributed diffusion gradient directions Z Tang, S Chen, A D’Souza, D Liu, F Calamante, M Barnett, W Cai, ... Frontiers in Radiology 3, 1238566, 2023 | 6 | 2023 |
| TW-BAG: tensor-wise brain-aware gate network for inpainting disrupted diffusion tensor imaging Z Tang, X Wang, L Zhu, M Cabezas, D Liu, M Barnett, W Cai, C Wang 2022 International Conference on Digital Image Computing: Techniques and …, 2022 | 6 | 2022 |
| AI-enhanced 3D biomedical data analytics for neuronal structure reconstruction H Wang, Y Song, Z Tang, C Zhang, J Yu, D Liu, D Zhang, S Liu, W Cai Humanity Driven AI: Productivity, Well-being, Sustainability and Partnership …, 2021 | 5 | 2021 |
| Towards a personalized MRgFUS treatment for tremor disorders: A study on the number of ablations using deep learning and structural connectivity Z Tang, M Cabezas, K Kyle, A D'Souza, S Tisch, B Jonker, Y Barnett, ... | 3 | 2022 |
| Enhancing angular resolution via directionality encoding and geometric constraints in brain diffusion tensor imaging S Chen, Z Tang, M Cabezas, X Wang, A D'Souza, M Barnett, F Calamante, ... arXiv preprint arXiv:2409.07186, 2024 | 2 | 2024 |
| Reducing the impact of disrupted brain regions in diffusion tensor imaging with inpainting Z Tang, X Wang, M Cabezas, L Zhu, D Liu, M Barnett, W Cai, C Wang Proceedings of the International Society of Magnetic Resonance in Medicine …, 2023 | 2 | 2023 |
| Deep learning distinguishes connectomes from focal epilepsy patients and controls: feasibility and clinical implications C Maher, Z Tang, A D’Souza, M Cabezas, W Cai, M Barnett, O Kavehei, ... Brain Communications 5 (6), fcad294, 2023 | 2 | 2023 |
| Automatic segmentation of thigh muscle in longitudinal 3D T1-weighted magnetic resonance (MR) images Z Tang, C Wang, P Hoang, S Liu, W Cai, D Soligo, R Oliver, M Barnett, ... International Workshop on Preterm, Perinatal and Paediatric Image Analysis …, 2018 | 2 | 2018 |
| FOD-Net 2.0: End-to-end FOD enhancement for low angular diffusion acquisitions using deep learning X Wang, Z Tang, M Cabezas, A D’Souza, F Calamante, D Liu, M Barnett, ... Annual Meeting of the International Society for Magnetic Resonance in …, 2023 | 1 | 2023 |
| Diffusion MRI fibre orientation distribution inpainting Z Tang, X Wang, M Cabezas, A D’Souza, F Calamante, D Liu, M Barnett, ... International Workshop on Computational Diffusion MRI, 65-76, 2022 | 1 | 2022 |
| Attention-based Semantic Segmentation of Thigh Muscle with T1-weighted Magnetic Resonance Imaging Z Tang, K Kyle, MH Barnett, C Fornusek, W Cai, C Wang | 1 | 2020 |
| Disentanglement-Based Unsupervised Domain Adaptation for Nuclei Instance Segmentation J Long, D Liu, Z Tang, W Cai 2024 39th International Conference on Image and Vision Computing New Zealand …, 2024 | | 2024 |
Chenyu WangBrain and Mind Centre, University of Sydney; Sydney Neuroimaging Analysis CentreE-mail megerősítve itt: sydney.edu.au
