| 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 | 43 | 2018 |
| 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 | 31 | 2022 |
| 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 | 10 | 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 | 10 | 2020 |
| 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 | 9* | 2023 |
| 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 | 7* | 2023 |
| 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 | 6 | 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 | 6 | 2017 |
| 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 | 3 | 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, ... | 2 | 2022 |
| 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, ... Data Driven Treatment Response Assessment and Preterm, Perinatal, and …, 2018 | 2 | 2018 |
| 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 | 1 | 2022 |
| 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 |
| Precise Few-Shot Fat-Free Thigh Muscle Segmentation in T1-Weighted MRI S Chen, Z Tang, D Liu, C Fornusek, M Barnett, C Wang, M Cabezas, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | | 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 | | 2023 |
| 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, 2023 | | 2023 |
| A deep learning based semantic segmentation framework for multiple sclerosis in MRI Y Song, S Liu, C Zhang, S Lill, C Wang, Y Gao, Z Tang, Y You, ... Multiple Sclerosis Journal 24 (2 Supplement), 861-2, 2018 | | 2018 |
Chenyu WangBrain and Mind Centre, University of Sydney; Sydney Neuroimaging Analysis CentreVerified email at sydney.edu.au
