Xiahai Zhuang

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 132

Top Venues

CoRR

Medical Image Anal.

STACOM@MICCAI

IEEE Trans. Medical Imaging

Publications

Yuanye Liu, Zheyao Gao, Nannan Shi, Fuping Wu, Yuxin Shi, Qingchao Chen, Xiahai Zhuang
MERIT: Multi-view Evidential learning for Reliable and Interpretable liver fibrosis sTaging. CoRR (2024)
Yibo Gao, Zheyao Gao, Xin Gao, Yuanye Liu, Bomin Wang, Xiahai Zhuang
Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis. CoRR (2024)
Jiyao Liu, Yuxin Li, Shangqi Gao, Yuncheng Zhou, Xin Gao, Ningsheng Xu, Xiao-Yong Zhang, Xiahai Zhuang
Trustworthy Contrast-enhanced Brain MRI Synthesis. CoRR (2024)
Zi Wang, Fanwen Wang, Chen Qin, Jun Lyu, Ouyang Cheng, Shuo Wang, Yan Li, Mengyao Yu, Haoyu Zhang, Kunyuan Guo, Zhang Shi, Qirong Li, Ziqiang Xu, Yajing Zhang, Hao Li, Sha Hua, Binghua Chen, Longyu Sun, Mengting Sun, Qin Li, Ying-Hua Chu, Wenjia Bai, Jing Qin, Xiahai Zhuang, Claudia Prieto, Alistair A. Young, Michael Markl, He Wang, Lianming Wu, Guang Yang, Xiaobo Qu, Chengyan Wang
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. CoRR (2024)
Han Lu, Xiahai Zhuang, Qiang Luo
A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition. AAAI (2024)
Bomin Wang, Xinzhe Luo, Xiahai Zhuang
Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning. CoRR (2024)
Chenhao Pei, Fuping Wu, Mingjing Yang, Lin Pan, Wangbin Ding, Jinwei Dong, Liqin Huang, Xiahai Zhuang
Multi-Source Domain Adaptation for Medical Image Segmentation. IEEE Trans. Medical Imaging 43 (4) (2024)
Jiangbo Pei, Aidong Men, Yang Liu, Xiahai Zhuang, Qingchao Chen
Evidential Multi-Source-Free Unsupervised Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 46 (8) (2024)
Xinzhe Luo, Xin Wang, Linda Shapiro, Chun Yuan, Jianfeng Feng, Xiahai Zhuang
Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry. CoRR (2024)
Xin Wang, Xinzhe Luo, Xiahai Zhuang
BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement. IPMI (2023)
Xinlu Tang, Rui Guo, Chencheng Zhang, Xiahai Zhuang, Xiaohua Qian
A Causality-Driven Graph Convolutional Network for Postural Abnormality Diagnosis in Parkinsonians. IEEE Trans. Medical Imaging 42 (12) (2023)
Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability. CoRR (2023)
Chengyan Wang, Jun Lyu, Shuo Wang, Chen Qin, Kunyuan Guo, Xinyu Zhang, Xiaotong Yu, Yan Li, Fanwen Wang, Jianhua Jin, Zhang Shi, Ziqiang Xu, Yapeng Tian, Sha Hua, Zhensen Chen, Meng Liu, Mengting Sun, Xutong Kuang, Kang Wang, Haoran Wang, Hao Li, Ying-Hua Chu, Guang Yang, Wenjia Bai, Xiahai Zhuang, He Wang, Jing Qin, Xiaobo Qu
CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction. CoRR (2023)
Zheyao Gao, Yuanye Liu, Fuping Wu, Nannan Shi, Yuxin Shi, Xiahai Zhuang
A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging. CoRR (2023)
Xinzhe Luo, Xiahai Zhuang
$\mathcal {X}$-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Wangbin Ding, Lei Li, Junyi Qiu, Sihan Wang, Liqin Huang, Yinyin Chen, Shan Yang, Xiahai Zhuang
Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation. CoRR (2023)
Zheyao Gao, Yuanye Liu, Fuping Wu, Nannan Shi, Yuxin Shi, Xiahai Zhuang
A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging. MICCAI (5) (2023)
Junyi Qiu, Lei Li, Sihan Wang, Ke Zhang, Yinyin Chen, Shan Yang, Xiahai Zhuang
MyoPS-Net: Myocardial pathology segmentation with flexible combination of multi-sequence CMR images. Medical Image Anal. 84 (2023)
Ke Zhang, Xiahai Zhuang
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation. CoRR (2023)
Jiyao Liu, Yuxin Li, Nannan Shi, Yuncheng Zhou, Shangqi Gao, Yuxin Shi, Xiao-Yong Zhang, Xiahai Zhuang
Multi-phase Liver-Specific DCE-MRI Translation via A Registration-Guided GAN. SASHIMI@MICCAI (2023)
Shangqi Gao, Xiahai Zhuang
Bayesian Image Super-Resolution With Deep Modeling of Image Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang
Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding. Medical Image Anal. 89 (2023)
Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J. Fulton, Tewodros Weldebirhan Arega, Kumaradevan Punithakumar, Lei Li, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro F. Queiros, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hüllebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris N. Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stéphanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Zheyao Gao, Fuping Wu, Weiguo Gao, Xiahai Zhuang
A New Framework of Swarm Learning Consolidating Knowledge From Multi-Center Non-IID Data for Medical Image Segmentation. IEEE Trans. Medical Imaging 42 (7) (2023)
Sihan Wang, Fuping Wu, Lei Li, Zheyao Gao, Byung-Woo Hong, Xiahai Zhuang
Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels. CoRR (2023)
Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability. Medical Image Anal. 89 (2023)
Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. 87 (2023)
Fuping Wu, Xiahai Zhuang
Minimizing Estimated Risks on Unlabeled Data: A New Formulation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang
Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior. CoRR (2023)
Lei Li, Wangbin Ding, Liqin Huang, Xiahai Zhuang, Vicente Grau
Multi-modality cardiac image computing: A survey. Medical Image Anal. 88 (2023)
Wangbin Ding, Lei Li, Junyi Qiu, Sihan Wang, Liqin Huang, Yinyin Chen, Shan Yang, Xiahai Zhuang
Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation. IEEE Trans. Medical Imaging 42 (12) (2023)
Ke Zhang, Xiahai Zhuang
ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation. CoRR (2022)
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 81 (2022)
Xin Wang, Xinzhe Luo, Xiahai Zhuang
Bayesian intrinsic groupwise registration via explicit hierarchical disentanglement. CoRR (2022)
Kai-Ni Wang, Xin Yang, Juzheng Miao, Lei Li, Jing Yao, Ping Zhou, Wufeng Xue, Guang-Quan Zhou, Xiahai Zhuang, Dong Ni
AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images. Medical Image Anal. 77 (2022)
Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang
AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information. Medical Image Anal. 76 (2022)
Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Ke Zhang, Xiahai Zhuang
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision. CoRR (2022)
Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. Medical Image Anal. 79 (2022)
Lei Li, Wangbin Ding, Liqun Huang, Xiahai Zhuang, Vicente Grau
Multi-Modality Cardiac Image Computing: A Survey. CoRR (2022)
Ke Zhang, Xiahai Zhuang
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision. CVPR (2022)
Xinzhe Luo, Xiahai Zhuang
X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing. CoRR (2022)
Shangqi Gao, Xiahai Zhuang
Bayesian Image Super-Resolution with Deep Modeling of Image Statistics. CoRR (2022)
Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation. MICCAI (5) (2022)
Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation. CoRR (2022)
Shangqi Gao, Xiahai Zhuang
Rank-One Network: An Effective Framework for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 44 (6) (2022)
Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks. CoRR (2022)
Ke Zhang, Xiahai Zhuang
ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation. MICCAI (8) (2022)
Tomislav Dobricki, Xiahai Zhuang, Kyoung-Jae Won, Byung-Woo Hong
Survey on unsupervised learning methods for optical flow estimation. ICTC (2022)
Junyi Qiu, Lei Li, Sihan Wang, Ke Zhang, Yinyin Chen, Shan Yang, Xiahai Zhuang
MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination of Multi-Sequence CMR Images. CoRR (2022)
Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. CoRR (2022)
Kai-Ni Wang, Xin Yang, Juzheng Miao, Lei Li, Jing Yao, Ping Zhou, Wufeng Xue, Guang-Quan Zhou, Xiahai Zhuang, Dong Ni
AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images. CoRR (2022)
Sihan Wang, Fuping Wu, Lei Li, Zheyao Gao, Byung-Woo Hong, Xiahai Zhuang
Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels. STACOM@MICCAI (2022)
Zheyao Gao, Lei Li, Fuping Wu, Sihan Wang, Xiahai Zhuang
Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation. CoRR (2022)
Zheyao Gao, Lei Li, Fuping Wu, Sihan Wang, Xiahai Zhuang
Decoupling Predictions in Distributed Learning for Multi-center Left Atrial MRI Segmentation. MICCAI (1) (2022)
Ke Zhang, Xiahai Zhuang
Deep Compatible Learning for Partially-Supervised Medical Image Segmentation. CoRR (2022)
Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang
Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review. Medical Image Anal. 77 (2022)
Dengqiang Jia, Xiahai Zhuang
Learning-based algorithms for vessel tracking: A review. Comput. Medical Imaging Graph. 89 (2021)
Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang
Unsupervised MMRegNet based on Spatially Encoded Gradient Information. CoRR (2021)
Sihan Wang, Lei Li, Xiahai Zhuang
AttU-NET: Attention U-Net for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2021)
Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. CoRR (2021)
Wangbin Ding, Lei Li, Liqin Huang, Xiahai Zhuang
Unsupervised Multi-modality Registration Network Based on Spatially Encoded Gradient Information. STACOM@MICCAI (2021)
Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang
VSpSR: Explorable Super-Resolution via Variational Sparse Representation. CoRR (2021)
Lei Li, Wangbin Ding, Liqun Huang, Xiahai Zhuang
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition. CoRR (2021)
Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40 (12) (2021)
Fuping Wu, Lei Li, Xiahai Zhuang
Multi-modality Cardiac Segmentation via Mixing Domains for Unsupervised Adaptation. STACOM@MICCAI (2021)
Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang
Medical Image Analysis on Left Atrial LGE MRI for Atrial Fibrillation Studies: A Review. CoRR (2021)
Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang
VSpSR: Explorable Super-Resolution via Variational Sparse Representation. CVPR Workshops (2021)
Fuping Wu, Xiahai Zhuang
Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation. CoRR (2021)
Dengqiang Jia, Shangqi Gao, Qunlong Chen, Xinzhe Luo, Xiahai Zhuang
A low-rank representation for unsupervised registration of medical images. CoRR (2021)
Chenhao Pei, Fuping Wu, Liqin Huang, Xiahai Zhuang
Disentangle domain features for cross-modality cardiac image segmentation. Medical Image Anal. 71 (2021)
Zheyao Gao, Xiahai Zhuang
Consistency Based Co-segmentation for Multi-view Cardiac MRI Using Vision Transformer. STACOM@MICCAI (2021)
Fuping Wu, Xiahai Zhuang
Unsupervised Domain Adaptation With Variational Approximation for Cardiac Segmentation. IEEE Trans. Medical Imaging 40 (12) (2021)
Lei Li, Wangbin Ding, Liqin Huang, Xiahai Zhuang
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition. STACOM@MICCAI (2021)
Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs. CoRR (2021)
Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-center LGE MRIs. MICCAI (6) (2021)
Lei Li, Fuping Wu, Sihang Wang, Xiahai Zhuang
Multi-Modality Cardiac Image Analysis with Deep Learning. CoRR (2021)
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR (2020)
Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang
AtrialJSQnet: A New Framework for Joint Segmentation and Quantification of Left Atrium and Scars Incorporating Spatial and Shape Information. CoRR (2020)
Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang
Cross-Modality Multi-atlas Segmentation Using Deep Neural Networks. MICCAI (3) (2020)
Ke Zhang, Xiahai Zhuang
Recognition and Standardization of Cardiac MRI Orientation via Multi-tasking Learning and Deep Neural Networks. MyoPS@MICCAI (2020)
Dengqiang Jia, Xiahai Zhuang
Learning-Based Algorithms for Vessel Tracking: A Review. CoRR (2020)
Lei Li, Xin Weng, Julia A. Schnabel, Xiahai Zhuang
Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention. MICCAI (4) (2020)
Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang
Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks. CoRR (2020)
Lei Li, Xin Weng, Julia A. Schnabel, Xiahai Zhuang
Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention. CoRR (2020)
Chenyu Liu, Wangbin Ding, Lei Li, Zhen Zhang, Chenhao Pei, Liqin Huang, Xiahai Zhuang
Brain Tumor Segmentation Network Using Attention-Based Fusion and Spatial Relationship Constraint. BrainLes@MICCAI (1) (2020)
Lei Li, Fuping Wu, Guang Yang, Lingchao Xu, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Xiahai Zhuang
Atrial scar quantification via multi-scale CNN in the graph-cuts framework. Medical Image Anal. 60 (2020)
Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR (2020)
Xinzhe Luo, Xiahai Zhuang
MvMM-RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation. MICCAI (3) (2020)
Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information. CoRR (2020)
Ke Zhang, Xiahai Zhuang
Recognition and standardization of cardiac MRI orientation via multi-tasking learning and deep neural networks. CoRR (2020)
Xinzhe Luo, Xiahai Zhuang
MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation. CoRR (2020)
Fuping Wu, Xiahai Zhuang
CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation. IEEE Trans. Medical Imaging 39 (12) (2020)
Shangqi Gao, Xiahai Zhuang
Rank-One Network: An Effective Framework for Image Restoration. CoRR (2020)
Shangqi Gao, Xiahai Zhuang
Robust approximations of low-rank minimization for tensor completion. Neurocomputing 379 (2020)
Yuncheng Zhou, Ke Zhang, Xinzhe Luo, Sihan Wang, Xiahai Zhuang
Anatomy Prior Based U-net for Pathology Segmentation with Attention. CoRR (2020)
Yuncheng Zhou, Ke Zhang, Xinzhe Luo, Sihan Wang, Xiahai Zhuang
Anatomy Prior Based U-net for Pathology Segmentation with Attention. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Chenyu Liu, Wangbin Ding, Lei Li, Zhen Zhang, Chenhao Pei, Liqin Huang, Xiahai Zhuang
Brain Tumor Segmentation Network Using Attention-based Fusion and Spatial Relationship Constraint. CoRR (2020)
Qian Yue, Xinzhe Luo, Qing Ye, Lingchao Xu, Xiahai Zhuang
Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors. CoRR (2019)

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Xiahai Zhuang