个人简介
教授、博士生导师，大数据学院院长助理。2010年在UCL获博士学位。发表包括IEEE TPAMI、Med Imag Ana、IEEE TMI、MICCAI等论文80余篇。现任Med Imag Ana、Neurocomputing、Comp Bio Med等多个期刊的副主编或编委；NSFC评委以及某科技部重大专项论证专家。曾获国际MICCAI协会青年科学家奖提名，工作曾入选顶级期刊Med Imag Ana最高引用和热门下载论文。
近期论文
查看导师最新文章
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Multimodality combined computing & groupwise registration
X Wang#, X Luo#, X Zhuang. BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement. IPMI 2023 (tier one conference, Oral) Honorable Mention and runners-up to the Francois Erbsmann Prize NEW!!!
X Zhuang: Multivariate mixture model for myocardial segmentation combining multi-source images. IEEE Transactions on Pattern Analysis and Machine Intelligence (T PAMI) 41(12), 2933-2946, 2019 link code note&demo derivation
X Luo & X Zhuang: X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing. IEEE Transactions on Pattern Analysis and Machine Intelligence (T PAMI) 45(7): 9206 - 9224, 2023 link code
Interpretability & generalizability, weak supervision of deep learning
J Pei, A Men, Y Liu, X Zhuang* & Q Chen*. Evidential Multi-Source-Free Unsupervised Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence (T PAMI) 2024+
C Pei, et al. & X Zhuang. Multi-Source Domain Adaptation for Medical Image Segmentation. IEEE TMI 2023+
S Gao#, H Zhou#, Y Gao#, X Zhuang. BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability. Medical Image Analysis 89, 102889, 2023. code&tutorial, link in special issue
Elsevier-MedIA 1st Prize & Medical Image Analysis MICCAl Best Paper Award link NEW!!!
Z Gao# & Y Liu# et al. & X Zhuang. A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging. MICCAI 2023 Oral. MICCAI 2023 STAR Award; MICCAl Best Paper and Young Scientist Award finalist NEW!!!
S Gao & X Zhuang: Bayesian Image Super-Resolution with Deep Modeling of Image Statistics. IEEE Transactions on Pattern Analysis and Machine Intelligence (T PAMI) 45(2), 1405-1423, 2023 link code
F Wu & X Zhuang. Minimizing Estimated Risks on Unlabeled Data: A New Formulation for Semi-Supervised Medical Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (T PAMI) 45(5): 6021 - 6036, 2023 link code
Z Gao, F Wu, W Gao, X Zhuang: A New Framework of Swarm Learning Consolidating Knowledge from Multi-Center Non-IID Data for Medical Image Segmentation. IEEE Transactions on Medical Imaging 2023 (IF: 11.037) code
S Gao#, H Zhou#, Y Gao#, X Zhuang. Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation. MICCAI 2022. link (Best paper finalist)
F Wu & X Zhuang: Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation. IEEE Transactions on Medical Imaging 2021 (IF: 11.037) link code&data
C Pei, F Wu, L Huang, X Zhuang. Disentangle domain features for cross-modality cardiac image segmentation. Medical Image Analysis, 71, 102078, 2021 (IF:13.828) link code
F Wu & X Zhuang: CF Distance: A new domain discrepancy metric and application to explicit domain adaptation for cross-modality cardiac image segmentation. IEEE Trans on Medical Imaging 39 (12), 4274 - 4285, 2020 (IF: 11.037) link code data
Applications
S Gao & X Zhuang: Rank-One Network: An Effective Framework for Image Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence (T PAMI) 44(6), 3224-3238, 2022 link code
J Qiu, et al. & X Zhuang: MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination of Multi-Sequence CMR Images. Medical Image Analysis 84, 102694, Feb2023 (IF:13.828) link code
W Ding, et al. & X Zhuang: Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation. IEEE Transactions on Medical Imaging online 2023
K Wan et al. & X Zhuang: Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior Embedding. Medical Image Analysis 2023
L Li, W Ding, L Huang, X Zhuang* & V Grau*: Multi-Modality Cardiac Image Computing: A Survey. Medical Image Analysis 2023
L Li#, F Wu#, S Wang#, et al. & X Zhuang: MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. Medical Image Analysis 87, 102808, 2023 (IF:13.828) link
L Li, V Zimmer, J Schnabel, X Zhuang. Medical Image Analysis on Left Atrial LGE MRI for Atrial Fibrillation Studies: A Review. Medical Image Analysis, 77, 102360, 1-27, 2022 (IF:13.828) link
L Li, V Zimmer, J Schnabel, X Zhuang. AtrialJSQnet: A New Framework for Joint Segmentation and Quantification of Left Atrium and Scars Incorporating Spatial and Shape Information. Medical Image Analysis, 76, 102303, 2022 (IF:13.828) link code
X Zhuang et al.: Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. Medical Image Analysis 81, 102528: 1-13, 2022 (IF:13.828) link
W Ding, L Li, X Zhuang* & L Huang*: Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion. IEEE JBHI 26(7): 3104 - 3115, 2022 link code
D Jia & X Zhuang: Learning-Based Algorithms for Vessel Tracking: A Review. COMPUT MED IMAG GRAP 2021 link
L Li et al. & X Zhuang: Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework. Medical Image Analysis (IF: 11.148) 60, 2020 link
X Zhuang et al.: Evaluation of algorithms for multi-modality whole heart segmentation: An open-access grand challenge. Medical Image Analysis 58, 2019 (most cited and most downloaded Medical Image Analysis articles) link
X Zhuang & J Shen: Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI. Medical Image Analysis 31, 77–87, 2016 (most cited Medical Image Analysis articles) link
X Zhuang: Challenges and Methodologies of Fully Automatic Whole Heart Segmentation: A Review. Journal of Healthcare Engineering 4 (3): 371–407, 2013 pdf
X Zhuang et al.: A Nonrigid Registration Framework Using Spatially Encoded Mutual Information and Free-Form Deformations. IEEE Transactions on Medical Imaging, 30(10), 1819-1828, 2011. link pdf
X Zhuang et al.: A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI. IEEE Transactions on Medical Imaging, 29 (9), 1612-1625, 2010. link pdf
X Zhuang et al.: An atlas-based segmentation propagation framework using locally affine registration – Application to automatic whole heart segmentation. MICCAI2008, 425-433. link (runner-up for MICCAI Young Scientist Award)
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