| The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge N Heller, F Isensee, KH Maier-Hein, X Hou, C Xie, F Li, Y Nan, G Mu, ... Medical image analysis 67, 101821, 2021 | 526 | 2021 |
| Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions Y Nan, J Del Ser, S Walsh, C Schönlieb, M Roberts, I Selby, K Howard, ... Information Fusion 82, 99-122, 2022 | 123 | 2022 |
| FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification P Tang, X Yan, Y Nan, S Xiang, S Krammer, T Lasser Medical Image Analysis 76, 102307, 2022 | 81 | 2022 |
| Identification of glomerular lesions and intrinsic glomerular cell types in kidney diseases via deep learning C Zeng(co-first), Y Nan(co-first), F Xu, Q Lei, F Li, T Chen, S Liang, X Hou, ... The Journal of pathology 252 (1), 53-64, 2020 | 79 | 2020 |
| Weakly supervised biomedical image segmentation by reiterative learning Q Liang(Tutor), Y Nan, G Coppola, K Zou, W Sun, D Zhang, Y Wang, G Yu IEEE Journal of biomedical and health informatics 23 (3), 1205-1214, 2018 | 59 | 2018 |
| Guangrui Mu, Zhiyong Lin, Miofei Han, et al. The state of the art in kidney and kidney tumor segmentation in contrast-enhanced ct imaging: Results of the kits19 challenge N Heller, F Isensee, KH Maier-Hein, X Hou, C Xie, F Li, Y Nan Medical image analysis 67 (101821), 1, 2021 | 54 | 2021 |
| Calibrating the dice loss to handle neural network overconfidence for biomedical image segmentation M Yeung, L Rundo, Y Nan, E Sala, CB Schönlieb, G Yang Journal of Digital Imaging 36 (2), 739-752, 2023 | 39 | 2023 |
| Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation H Li, Y Nan, J Del Ser, G Yang Neural Computing and Applications 35 (30), 22071-22085, 2023 | 37 | 2023 |
| Multi-site, multi-domain airway tree modeling M Zhang, Y Wu, H Zhang, Y Qin, H Zheng, W Tang, C Arnold, C Pei, P Yu, ... Medical image analysis 90, 102957, 2023 | 35 | 2023 |
| LKAU-Net: 3D large-kernel attention-based u-net for automatic MRI brain tumor segmentation H Li, Y Nan, G Yang Annual conference on medical image understanding and analysis, 313-327, 2022 | 34 | 2022 |
| Human treelike tubular structure segmentation: A comprehensive review and future perspectives H Li, Z Tang, Y Nan, G Yang Computers in Biology and Medicine 151, 106241, 2022 | 33 | 2022 |
| A triple-stage self-guided network for kidney tumor segmentation X Hou, C Xie, F Li, J Wang, C Lv, G Xie, Y Nan 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 341-344, 2020 | 33 | 2020 |
| 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 | 32 | 2023 |
| Feature pyramid nonlocal network with transform modal ensemble learning for breast tumor segmentation in ultrasound images P Tang, X Yang, Y Nan, S Xiang, Q Liang IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …, 2021 | 30 | 2021 |
| Angle aided circle detection based on randomized Hough transform and its application in welding spots detection Q Liang, J Long, Y Nan, G Coppola, K Zou, D Zhang, W Sun Math. Biosci. Eng 16 (3), 1244-1257, 2019 | 28 | 2019 |
| Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images G Zhang, K Chen, S Xu, PC Cho, Y Nan, X Zhou, C Lv, C Li, G Xie Computerized Medical Imaging and Graphics 90, 101929, 2021 | 26 | 2021 |
| Large-kernel attention for 3D medical image segmentation H Li, Y Nan, J Del Ser, G Yang Cognitive Computation 16 (4), 2063-2077, 2024 | 19 | 2024 |
| Mambamir: An arbitrary-masked mamba for joint medical image reconstruction and uncertainty estimation J Huang, L Yang, F Wang, Y Nan, AI Aviles-Rivero, CB Schönlieb, ... arXiv preprint arXiv:2402.18451, 2024 | 15 | 2024 |
| Adversarial Transformer for Repairing Human Airway Segmentation Z Tang, Y Nan, S Walsh, G Yang IEEE Journal of Biomedical and Health Informatics, 2023 | 11 | 2023 |
| Multi-site, multi-domain airway tree modeling (ATM'22): a public benchmark for pulmonary airway segmentation M Zhang, Y Wu, H Zhang, Y Qin, H Zheng, W Tang, C Arnold, C Pei, P Yu, ... arXiv preprint arXiv:2303.05745, 2023 | 11 | 2023 |
Xiaodan Xing (邢潇丹)Imperial College LondonVerified email at ic.ac.uk
