| Recent advances in fibrosis and scar segmentation from cardiac MRI: a state-of-the-art review and future perspectives Y Wu, Z Tang, B Li, D Firmin, G Yang Frontiers in Physiology 12, 709230, 2021 | 42 | 2021 |
| Human treelike tubular structure segmentation: A comprehensive review and future perspectives H Li, Z Tang, Y Nan, G Yang Computers in Biology and Medicine, 106241, 2022 | 34 | 2022 |
| Fuzzy attention neural network to tackle discontinuity in airway segmentation Y Nan, J Del Ser, Z Tang, P Tang, X Xing, Y Fang, F Herrera, W Pedrycz, ... IEEE Transactions on Neural Networks and Learning Systems, 2023 | 33 | 2023 |
| Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels M Li, Y Fang, Z Tang, C Onuorah, J Xia, J Del Ser, S Walsh, G Yang IEEE Transactions on Emerging Topics in Computational Intelligence 7 (1), 26-35, 2022 | 20 | 2022 |
| Adversarial Transformer for Repairing Human Airway Segmentation Z Tang, Y Nan, S Walsh, G Yang IEEE Journal of Biomedical and Health Informatics, 2022 | 12 | 2022 |
| Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge Y Nan, X Xing, S Wang, Z Tang, FN Felder, S Zhang, RE Ledda, X Ding, ... Medical Image Analysis, 2024 | 9 | 2024 |
| From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare M Li, P Xu, J Hu, Z Tang, G Yang arXiv preprint arXiv:2409.09727, 2024 | 1 | 2024 |
| Corrigendum to ‘Human treelike tubular structure segmentation:: A comprehensive review and future perspectives’[Comput. Biol. Med., Vol. 151 (Pt A), 2022, p. 106241-106241] H Li, Z Tang, Y Nan, G Yang | | 2023 |
| Enhancing Super-Resolution Networks through Realistic Thick-Slice CT Simulation Z Tang, X Xing, G Yang arXiv preprint arXiv:2307.10182, 2023 | | 2023 |
Yang NanDepartment of Bioengineering, Imperial College London確認したメール アドレス: imperial.ac.uk