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Interpretability & generalizability, weak supervision of deep learning
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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 (<0.1%) link
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Y Gao et al. & X Zhuang. Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Classification. MICCAI 2025
Young Scientist Award (~0.2%)
NEW!!!
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J Pei, R Li, A Men, Y Liu, X Zhuang* & Q Chen*. Selection, Ensemble, and Adaptation: Advancing Multi-Source-Free Domain Adaptation via Architecture Zoo.
IEEE Transactions on Pattern Analysis and Machine Intelligence (T PAMI) 2025+
NEW!!!
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Y Xu, A Men, Y Liu, X Zhuang* & Q Chen*. Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation.
IEEE Transactions on Pattern Analysis and Machine Intelligence (T PAMI) 2025+
NEW!!!
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Y Li et al. & X Zhuang. Uncertainty-Supervised Interpretable and Robust Evidential Segmentation, MICCAI 2025
(Oral, 2%)
NEW!!!
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Y Liu#, Z Gao#, et al. & X Zhuang*. MERIT: Multi-view Evidential Learning for Reliable and Interpretable Liver Fibrosis Staging. Medical Image Analysis 2025: 103507
NEW!!!
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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
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C Pei, et al. & X Zhuang. Multi-Source Domain Adaptation for Medical Image Segmentation. IEEE TMI 2023
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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
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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
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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
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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
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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)
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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
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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
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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
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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
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Multimodality combined computing & Applications
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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
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X Luo, et al., X Zhuang. Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration. IEEE Transactions on Pattern Analysis and Machine Intelligence (T PAMI) 2025+
NEW!!!
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W Ding, et al. & X Zhuang:
CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR. IEEE TMI, 2025+
NEW!!!
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Y Liu et al. & X Zhuang. BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images, MICCAI 2025
(Oral, 2%)
NEW!!!
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X Sheng et al. & X Zhuang. Automated Characterization of Myocardial Scar Topological Patterns for Ventricular Tachycardia Screening, MICCAI 2025 (Oral, 2%)
NEW!!!
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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
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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
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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
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W Ding, et al. & X Zhuang: Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation. IEEE Transactions on Medical Imaging online 2023
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K Wan et al. & X Zhuang: Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior Embedding. Medical Image Analysis 2023
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L Li, W Ding, L Huang, X Zhuang* & V Grau*: Multi-Modality Cardiac Image Computing: A Survey. Medical Image Analysis 2023
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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
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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
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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
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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
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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
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D Jia & X Zhuang:
Learning-Based Algorithms for Vessel Tracking: A Review.
COMPUT MED IMAG GRAP 2021
link
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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
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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
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X Zhuang & J Shen:
Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI.
Medical Image Analysis 31, 77–87, 2016
(ESI most cited paper; Medical Image Analysis most cited articles)
link
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X Zhuang:
Challenges and Methodologies of Fully Automatic Whole Heart Segmentation: A Review.
Journal of Healthcare Engineering 4 (3): 371–407, 2013
pdf
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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
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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
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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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