default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDXiahai Zhuang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j44]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): 5288-5305 (2024)- [j43]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): 1640-1651 (2024) - [j42]Qian Wu, Yufei Chen, Wei Liu, Xiaodong Yue, Xiahai Zhuang:
Deep Closing: Enhancing Topological Connectivity in Medical Tubular Segmentation. IEEE Trans. Medical Imaging 43(11): 3990-4003 (2024) - [c65]Han Lu, Xiahai Zhuang, Qiang Luo:
A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition. AAAI 2024: 556-564 - [c64]Kaiwen Wan, Bomin Wang, Fuping Wu, Haiyu Gong, Xiahai Zhuang:
Context-Guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data. MICCAI (11) 2024: 157-166 - [c63]Yibo Gao, Zheyao Gao, Xin Gao, Yuanye Liu, Bomin Wang, Xiahai Zhuang:
Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis. MICCAI (10) 2024: 308-317 - [c62]Bomin Wang, Xinzhe Luo, Xiahai Zhuang:
Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning. MICCAI (2) 2024: 739-748 - [i59]Xinzhe Luo, Xin Wang, Linda Shapiro, Chun Yuan, Jianfeng Feng, Xiahai Zhuang:
Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry. CoRR abs/2401.02141 (2024) - [i58]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 abs/2405.02918 (2024) - [i57]Bomin Wang, Xinzhe Luo, Xiahai Zhuang:
Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning. CoRR abs/2406.17575 (2024) - [i56]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 abs/2406.19043 (2024) - [i55]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 abs/2406.19130 (2024) - [i54]Jiyao Liu, Yuxin Li, Shangqi Gao, Yuncheng Zhou, Xin Gao, Ningsheng Xu, Xiao-Yong Zhang, Xiahai Zhuang:
Trustworthy Contrast-enhanced Brain MRI Synthesis. CoRR abs/2407.07372 (2024) - 2023
- [j41]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: 102694 (2023) - [j40]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: 102808 (2023) - [j39]Lei Li, Wangbin Ding, Liqin Huang, Xiahai Zhuang, Vicente Grau:
Multi-modality cardiac image computing: A survey. Medical Image Anal. 88: 102869 (2023) - [j38]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: 102875 (2023) - [j37]Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang:
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability. Medical Image Anal. 89: 102889 (2023) - [j36]Shangqi Gao, Xiahai Zhuang:
Bayesian Image Super-Resolution With Deep Modeling of Image Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1405-1423 (2023) - [j35]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): 6021-6036 (2023) - [j34]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): 9206-9224 (2023) - [j33]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): 3302-3313 (2023) - [j32]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): 2118-2129 (2023) - [j31]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): 3474-3486 (2023) - [j30]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): 3752-3763 (2023) - [c61]Xin Wang, Xinzhe Luo, Xiahai Zhuang:
BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement. IPMI 2023: 319-331 - [c60]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: 21-31 - [c59]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: 178-188 - [e4]Xiahai Zhuang, Lei Li, Sihan Wang, Fuping Wu:
Left Atrial and Scar Quantification and Segmentation - First Challenge, LAScarQS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13586, Springer 2023, ISBN 978-3-031-31777-4 [contents] - [i53]Ke Zhang, Xiahai Zhuang:
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation. CoRR abs/2301.04882 (2023) - [i52]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 abs/2301.05392 (2023) - [i51]Sihan Wang, Fuping Wu, Lei Li, Zheyao Gao, Byung-Woo Hong, Xiahai Zhuang:
Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels. CoRR abs/2301.06043 (2023) - [i50]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 abs/2302.03537 (2023) - [i49]Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang:
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability. CoRR abs/2303.01710 (2023) - [i48]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 abs/2306.12054 (2023) - [i47]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 abs/2309.10836 (2023) - 2022
- [j29]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: 102303 (2022) - [j28]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: 102360 (2022) - [j27]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: 102362 (2022) - [j26]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 H. 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: 102428 (2022) - [j25]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: 102528 (2022) - [j24]Shangqi Gao, Xiahai Zhuang:
Rank-One Network: An Effective Framework for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3224-3238 (2022) - [j23]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): 3104-3115 (2022) - [c58]Ke Zhang, Xiahai Zhuang:
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision. CVPR 2022: 11646-11655 - [c57]Tomislav Dobricki, Xiahai Zhuang, Kyoung-Jae Won, Byung-Woo Hong:
Survey on unsupervised learning methods for optical flow estimation. ICTC 2022: 591-594 - [c56]Ke Zhang, Xiahai Zhuang:
ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation. MICCAI (8) 2022: 162-172 - [c55]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: 360-369 - [c54]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: 517-527 - [c53]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: 349-358 - [i46]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 abs/2201.03186 (2022) - [i45]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 abs/2201.05344 (2022) - [i44]Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks. CoRR abs/2202.02000 (2022) - [i43]Ke Zhang, Xiahai Zhuang:
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision. CoRR abs/2203.01475 (2022) - [i42]Shangqi Gao, Xiahai Zhuang:
Bayesian Image Super-Resolution with Deep Modeling of Image Statistics. CoRR abs/2204.00623 (2022) - [i41]Ke Zhang, Xiahai Zhuang:
ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation. CoRR abs/2206.02118 (2022) - [i40]Xin Wang, Xinzhe Luo, Xiahai Zhuang:
Bayesian intrinsic groupwise registration via explicit hierarchical disentanglement. CoRR abs/2206.02377 (2022) - [i39]Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang:
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation. CoRR abs/2206.04336 (2022) - [i38]Zheyao Gao, Lei Li, Fuping Wu, Sihan Wang, Xiahai Zhuang:
Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation. CoRR abs/2206.05284 (2022) - [i37]Ke Zhang, Xiahai Zhuang:
Deep Compatible Learning for Partially-Supervised Medical Image Segmentation. CoRR abs/2206.09148 (2022) - [i36]Lei Li, Wangbin Ding, Liqun Huang, Xiahai Zhuang, Vicente Grau:
Multi-Modality Cardiac Image Computing: A Survey. CoRR abs/2208.12881 (2022) - [i35]Xinzhe Luo, Xiahai Zhuang:
X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing. CoRR abs/2211.01631 (2022) - [i34]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 abs/2211.03062 (2022) - 2021
- [j22]Dengqiang Jia, Xiahai Zhuang:
Learning-based algorithms for vessel tracking: A review. Comput. Medical Imaging Graph. 89: 101840 (2021) - [j21]Chenhao Pei, Fuping Wu, Liqin Huang, Xiahai Zhuang:
Disentangle domain features for cross-modality cardiac image segmentation. Medical Image Anal. 71: 102078 (2021) - [j20]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. W. 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): 3543-3554 (2021) - [j19]Fuping Wu, Xiahai Zhuang:
Unsupervised Domain Adaptation With Variational Approximation for Cardiac Segmentation. IEEE Trans. Medical Imaging 40(12): 3555-3567 (2021) - [c52]Sihan Wang, Lei Li, Xiahai Zhuang:
AttU-NET: Attention U-Net for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2021: 302-311 - [c51]Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang:
VSpSR: Explorable Super-Resolution via Variational Sparse Representation. CVPR Workshops 2021: 373-381 - [c50]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: 557-566 - [c49]Wangbin Ding, Lei Li, Liqin Huang, Xiahai Zhuang:
Unsupervised Multi-modality Registration Network Based on Spatially Encoded Gradient Information. STACOM@MICCAI 2021: 151-159 - [c48]Fuping Wu, Lei Li, Xiahai Zhuang:
Multi-modality Cardiac Segmentation via Mixing Domains for Unsupervised Adaptation. STACOM@MICCAI 2021: 179-188 - [c47]Lei Li, Wangbin Ding, Liqin Huang, Xiahai Zhuang:
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition. STACOM@MICCAI 2021: 259-267 - [c46]Zheyao Gao, Xiahai Zhuang:
Consistency Based Co-segmentation for Multi-view Cardiac MRI Using Vision Transformer. STACOM@MICCAI 2021: 306-314 - [i33]Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang:
VSpSR: Explorable Super-Resolution via Variational Sparse Representation. CoRR abs/2104.08575 (2021) - [i32]Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Unsupervised MMRegNet based on Spatially Encoded Gradient Information. CoRR abs/2105.07392 (2021) - [i31]Dengqiang Jia, Shangqi Gao, Qunlong Chen, Xinzhe Luo, Xiahai Zhuang:
A low-rank representation for unsupervised registration of medical images. CoRR abs/2105.09548 (2021) - [i30]Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang:
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs. CoRR abs/2106.08727 (2021) - [i29]Fuping Wu, Xiahai Zhuang:
Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation. CoRR abs/2106.08752 (2021) - [i28]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 abs/2106.09862 (2021) - [i27]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 H. 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 abs/2108.04016 (2021) - [i26]Lei Li, Wangbin Ding, Liqun Huang, Xiahai Zhuang:
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition. CoRR abs/2109.02171 (2021) - [i25]Lei Li, Fuping Wu, Sihang Wang, Xiahai Zhuang:
Multi-Modality Cardiac Image Analysis with Deep Learning. CoRR abs/2111.04736 (2021) - 2020
- [j18]Shangqi Gao, Xiahai Zhuang:
Robust approximations of low-rank minimization for tensor completion. Neurocomputing 379: 319-333 (2020) - [j17]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) - [j16]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): 4274-4285 (2020) - [c45]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: 219-229 - [c44]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: 118-127 - [c43]Xinzhe Luo, Xiahai Zhuang:
MvMM-RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation. MICCAI (3) 2020: 149-159 - [c42]Ke Zhang, Xiahai Zhuang:
Recognition and Standardization of Cardiac MRI Orientation via Multi-tasking Learning and Deep Neural Networks. MyoPS@MICCAI 2020: 167-176 - [c41]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: 208-218 - [c40]Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Cross-Modality Multi-atlas Segmentation Using Deep Neural Networks. MICCAI (3) 2020: 233-242 - [c39]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: 392-399 - [e3]Mihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li, Alistair A. Young, Tommaso Mansi, Avan Suinesiaputra:
Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12009, Springer 2020, ISBN 978-3-030-39073-0 [contents] - [e2]Xiahai Zhuang, Lei Li:
Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - First Challenge, MyoPS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Lecture Notes in Computer Science 12554, Springer 2020, ISBN 978-3-030-65650-8 [contents] - [i24]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 abs/2004.12314 (2020) - [i23]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 abs/2006.12434 (2020) - [i22]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 abs/2006.13011 (2020) - [i21]Xinzhe Luo, Xiahai Zhuang:
MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation. CoRR abs/2006.15573 (2020) - [i20]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 abs/2008.04729 (2020) - [i19]Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks. CoRR abs/2008.08946 (2020) - [i18]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 abs/2008.12205 (2020) - [i17]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 abs/2010.15647 (2020) - [i16]Ke Zhang, Xiahai Zhuang:
Recognition and standardization of cardiac MRI orientation via multi-tasking learning and deep neural networks. CoRR abs/2011.08761 (2020) - [i15]Yuncheng Zhou, Ke Zhang, Xinzhe Luo, Sihan Wang, Xiahai Zhuang:
Anatomy Prior Based U-net for Pathology Segmentation with Attention. CoRR abs/2011.08769 (2020) - [i14]Shangqi Gao, Xiahai Zhuang:
Rank-One Network: An Effective Framework for Image Restoration. CoRR abs/2011.12610 (2020) - [i13]Dengqiang Jia, Xiahai Zhuang:
Learning-Based Algorithms for Vessel Tracking: A Review. CoRR abs/2012.08929 (2020)
2010 – 2019
- 2019
- [j15]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng:
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation. IEEE Access 7: 99065-99076 (2019) - [j14]Dengqiang Jia, Xiahai Zhuang:
Directional fast-marching and multi-model strategy to extract coronary artery centerlines. Comput. Biol. Medicine 108: 67-77 (2019) - [j13]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Guang Yang:
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. Medical Image Anal. 58 (2019) - [j12]Xiahai Zhuang:
Multivariate Mixture Model for Myocardial Segmentation Combining Multi-Source Images. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 2933-2946 (2019) - [c38]Shangqi Gao, Xiahai Zhuang:
Multi-Scale Deep Neural Networks for Real Image Super-Resolution. CVPR Workshops 2019: 2006-2013 - [c37]Qian Yue, Xinzhe Luo, Qing Ye, Lingchao Xu, Xiahai Zhuang:
Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors. MICCAI (2) 2019: 559-567 - [i12]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. CoRR abs/1902.07877 (2019) - [i11]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang:
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. CoRR abs/1902.07880 (2019) - [i10]Yechong Huang, Jiahang Xu, Yuncheng Zhou, Tong Tong, Xiahai Zhuang:
Diagnosis of Alzheimer's Disease via Multi-modality 3D Convolutional Neural Network. CoRR abs/1902.09904 (2019) - [i9]Jiahang Xu, Fangyang Jiao, Yechong Huang, Xinzhe Luo, Qian Xu, Ling Li, Xueling Liu, Chuantao Zuo, Ping Wu, Xiahai Zhuang:
A Fully-Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images. CoRR abs/1902.09934 (2019) - [i8]Shangqi Gao, Xiahai Zhuang:
Multi-scale deep neural networks for real image super-resolution. CoRR abs/1904.10698 (2019) - [i7]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 abs/1906.07347 (2019) - [i6]Yechong Huang, Tao Song, Jieru Zhu, Wenqi Luo, Jiahang Xu, Xiahai Zhuang:
Mutual information neural estimation in CNN-based end-to-end medical image registration. CoRR abs/1908.08767 (2019) - 2018
- [j11]Huaixiao Tou, Lu Yao, Zhongyu Wei, Xiahai Zhuang, Bo Zhang:
Automatic infection detection based on electronic medical records. BMC Bioinform. 19-S(5): 55-63 (2018) - [j10]Jie Liu, Xiahai Zhuang, Hongzhi Xie, Shuyang Zhang, Lixu Gu:
Myocardium segmentation from DE MRI with guided random walks and sparse shape representation. Int. J. Comput. Assist. Radiol. Surg. 13(10): 1579-1590 (2018) - [c36]Lei Li, Guang Yang, Fuping Wu, Tom Wong, Raad Mohiaddin, David N. Firmin, Jenny Keegan, Lingchao Xu, Xiahai Zhuang:
Atrial Scar Segmentation via Potential Learning in the Graph-Cut Framework. STACOM@MICCAI 2018: 152-160 - [c35]Marta Nuñez Garcia, Xiahai Zhuang, Gerard Sanroma, Lei Li, Lingchao Xu, Constantine Butakoff, Oscar Camara:
Left Atrial Segmentation Combining Multi-atlas Whole Heart Labeling and Shape-Based Atlas Selection. STACOM@MICCAI 2018: 302-310 - [c34]Zenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang, Lei Li, Guang Yang, Guoyan Zheng:
Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images. MICCAI (4) 2018: 569-577 - [c33]Fuping Wu, Lei Li, Guang Yang, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Lingchao Xu, Xiahai Zhuang:
Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate Images. MICCAI (4) 2018: 604-612 - [e1]Mihaela Pop, Maxime Sermesant, Pierre-Marc Jodoin, Alain Lalande, Xiahai Zhuang, Guang Yang, Alistair A. Young, Olivier Bernard:
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges - 8th International Workshop, STACOM 2017, Held in Conjunction with MICCAI 2017, Quebec City, Canada, September 10-14, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10663, Springer 2018, ISBN 978-3-319-75540-3 [contents] - [i5]Fuping Wu, Lei Li, Guang Yang, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Lingchao Xu, Xiahai Zhuang:
Atrial fibrosis quantification based on maximum likelihood estimator of multivariate images. CoRR abs/1810.09075 (2018) - [i4]Lei Li, Fuping Wu, Guang Yang, Tom Wong, Raad Mohiaddin, David N. Firmin, Jenny Keegan, Lingchao Xu, Xiahai Zhuang:
Atrial scars segmentation via potential learning in the graph-cuts framework. CoRR abs/1810.09123 (2018) - [i3]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng:
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation. CoRR abs/1812.07907 (2018) - 2017
- [j9]Jie Liu, Xiahai Zhuang, Lianming Wu, Dongaolei An, Jianrong Xu, Terry M. Peters, Lixu Gu:
Myocardium Segmentation From DE MRI Using Multicomponent Gaussian Mixture Model and Coupled Level Set. IEEE Trans. Biomed. Eng. 64(11): 2650-2661 (2017) - [c32]Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Xujiong Ye, Gregory G. Slabaugh, Tom Wong, Raad Mohiaddin, Jennifer Keegan, David N. Firmin:
A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images. ISBI 2017: 844-848 - [c31]Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Xujiong Ye, Gregory G. Slabaugh, Tom Wong, Raad Mohiaddin, Jennifer Keegan, David N. Firmin:
Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients. Computer-Aided Diagnosis 2017: 101340O - [c30]Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Xujiong Ye, Greg G. Slabaugh, Tom Wong, Raad Mohiaddin, Jennifer Keegan, David N. Firmin:
Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI. Image Processing 2017: 1013313 - [c29]Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Xujiong Ye, Gregory G. Slabaugh, Tom Wong, Raad Mohiaddin, Jennifer Keegan, David N. Firmin:
Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders. MIUA 2017: 195-206 - [i2]Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Rick Wage, Xujiong Ye, Greg G. Slabaugh, Raad Mohiaddin, Tom Wong, Jennifer Keegan, David N. Firmin:
Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI. CoRR abs/1705.09529 (2017) - 2016
- [j8]Xiahai Zhuang, Juan Shen:
Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI. Medical Image Anal. 31: 77-87 (2016) - [c28]Dengqiang Jia, Wenzhe Shi, Daniel Rueckert, Liu Liu, Sébastien Ourselin, Xiahai Zhuang:
A Multi-resolution Multi-model Method for Coronary Centerline Extraction Based on Minimal Path. MIAR 2016: 320-328 - [c27]Xiahai Zhuang:
Multivariate Mixture Model for Cardiac Segmentation from Multi-Sequence MRI. MICCAI (2) 2016: 581-588 - [i1]Xiahai Zhuang:
Multivariate mixture model for myocardium segmentation combining multi-source images. CoRR abs/1612.08820 (2016) - 2015
- [j7]Junfeng Cai, Xiahai Zhuang, Yuanyuan Nie, Zhe Luo, Lixu Gu:
Real-time aortic valve segmentation from transesophageal echocardiography sequence. Int. J. Comput. Assist. Radiol. Surg. 10(4): 447-458 (2015) - 2014
- [c26]Liu Liu, Wenzhe Shi, Daniel Rueckert, Mingxing Hu, Sébastien Ourselin, Xiahai Zhuang:
Coronary centerline extraction based on ostium detection and model-guided directional minimal path. ISBI 2014: 133-136 - [c25]Jie Yang, Shaoting Zhang, Xiahai Zhuang, Long Jiang, Lixu Gu:
Robust and efficient 3D registration via depth map-based feature point matching in image-guided neurosurgery. ISBI 2014: 758-761 - [c24]Jie Liu, Xiahai Zhuang, Jing Liu, Shaoting Zhang, Guotai Wang, Lianming Wu, Jianrong Xu, Lixu Gu:
Myocardium segmentation combining T2 and DE MRI using Multi-Component Bivariate Gaussian mixture model. ISBI 2014: 886-889 - [c23]Wenzhe Shi, Herve Lombaert, Wenjia Bai, Christian Ledig, Xiahai Zhuang, Antonio M. Simoes Monteiro de Marvao, Timothy Dawes, Declan P. O'Regan, Daniel Rueckert:
Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation. MICCAI (1) 2014: 348-355 - 2013
- [j6]Jiahe Xi, Pablo Lamata, Steven A. Niederer, Sander Land, Wenzhe Shi, Xiahai Zhuang, Sébastien Ourselin, Simon G. Duckett, Anoop Shetty, C. Aldo Rinaldi, Daniel Rueckert, Reza Razavi, Nic Smith:
The estimation of patient-specific cardiac diastolic functions from clinical measurements. Medical Image Anal. 17(2): 133-146 (2013) - [j5]Catalina Tobon-Gomez, Mathieu De Craene, Kristin McLeod, Lennart Tautz, Wenzhe Shi, Anja Hennemuth, Adityo Prakosa, H. Wang, Gerry Carr-White, Stam Kapetanakis, Anja Lutz, Volker Rasche, Tobias Schaeffter, Constantine Butakoff, Ola Friman, Tommaso Mansi, Maxime Sermesant, Xiahai Zhuang, Sébastien Ourselin, Heinz-Otto Peitgen, Xavier Pennec, Reza Razavi, Daniel Rueckert, Alejandro F. Frangi, Kawal S. Rhode:
Benchmarking framework for myocardial tracking and deformation algorithms: An open access database. Medical Image Anal. 17(6): 632-648 (2013) - [j4]Wenzhe Shi, Martin Jantsch, Paul Aljabar, Luis Pizarro, Wenjia Bai, Haiyan Wang, Declan P. O'Regan, Xiahai Zhuang, Daniel Rueckert:
Temporal sparse free-form deformations. Medical Image Anal. 17(7): 779-789 (2013) - [c22]Hui Huang, Xiahai Zhuang, Yi Shao, Tian Lan, Liu Liu, Qiang Li:
Computer-aided scheme for functional index computation of left ventricle in cardiac CTA: segmentation and partitioning of left ventricle. Computer-Aided Diagnosis 2013: 867017 - [c21]Wenzhe Shi, Jose Caballero, Christian Ledig, Xiahai Zhuang, Wenjia Bai, Kanwal K. Bhatia, Antonio M. Simoes Monteiro de Marvao, Tim Dawes, Declan P. O'Regan, Daniel Rueckert:
Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch. MICCAI (3) 2013: 9-16 - [c20]Liu Liu, Wenzhe Shi, Daniel Rueckert, Mingxing Hu, Sébastien Ourselin, Xiahai Zhuang:
Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA. MICCAI (1) 2013: 542-549 - [c19]Haiyan Wang, Wenzhe Shi, Xiahai Zhuang, Xianliang Wu, Kai-Pin Tung, Sébastien Ourselin, Philip J. Edwards, Daniel Rueckert:
Landmark detection and coupled patch registration for cardiac motion tracking. Image Processing 2013: 86690J - [c18]Xiahai Zhuang, Jingjing Song, Songhua Zhan, Tian Lan, Hui Huang, Mingxing Hu, Sébastien Ourselin, Qiang Li:
A registration and atlas propagation based framework for automatic whole heart segmentation of CT volumes. Image Processing 2013: 86693W - [c17]Xiahai Zhuang, Wenzhe Shi, Haiyan Wang, Daniel Rueckert, Sébastien Ourselin:
Computation on shape manifold for atlas generation: application to whole heart segmentation of cardiac MRI. Image Processing 2013: 866941 - 2012
- [j3]Wenzhe Shi, Xiahai Zhuang, Haiyan Wang, Simon G. Duckett, Duy V. N. Luong, Catalina Tobon-Gomez, Kai-Pin Tung, Philip J. Edwards, Kawal S. Rhode, Reza Razavi, Sébastien Ourselin, Daniel Rueckert:
A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration. IEEE Trans. Medical Imaging 31(6): 1263-1275 (2012) - [c16]Wenzhe Shi, Xiahai Zhuang, Luis Pizarro, Wenjia Bai, Haiyan Wang, Kai-Pin Tung, Philip J. Edwards, Daniel Rueckert:
Registration Using Sparse Free-Form Deformations. MICCAI (2) 2012: 659-666 - 2011
- [j2]Xiahai Zhuang, Simon R. Arridge, David J. Hawkes, Sébastien Ourselin:
A Nonrigid Registration Framework Using Spatially Encoded Mutual Information and Free-Form Deformations. IEEE Trans. Medical Imaging 30(10): 1819-1828 (2011) - [c15]Wenzhe Shi, Xiahai Zhuang, Haiyan Wang, Simon G. Duckett, Declan P. O'Regan, Philip J. Edwards, Sébastien Ourselin, Daniel Rueckert:
Automatic Segmentation of Different Pathologies from Cardiac Cine MRI Using Registration and Multiple Component EM Estimation. FIMH 2011: 163-170 - [c14]Xiahai Zhuang, Wenzhe Shi, Simon G. Duckett, Haiyan Wang, Reza Razavi, David J. Hawkes, Daniel Rueckert, Sébastien Ourselin:
A Framework Combining Multi-sequence MRI for Fully Automated Quantitative Analysis of Cardiac Global And Regional Functions. FIMH 2011: 367-374 - [c13]Haiyan Wang, Wenzhe Shi, Xiahai Zhuang, Simon G. Duckett, Kai-Pin Tung, Philip J. Edwards, Reza Razavi, Sébastien Ourselin, Daniel Rueckert:
Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images. STACOM 2011: 45-54 - [c12]Wenzhe Shi, Xiahai Zhuang, Robin Wolz, Simon G. Duckett, Kai-Pin Tung, Haiyan Wang, Sébastien Ourselin, Philip J. Edwards, Reza Razavi, Daniel Rueckert:
A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation. STACOM 2011: 178-187 - [c11]Dong Ping Zhang, Xiahai Zhuang, Sébastien Ourselin, Daniel Rueckert:
Motion tracking of left ventricle and coronaries in 4D CTA. Image Processing 2011: 79624A - 2010
- [j1]Xiahai Zhuang, Kawal S. Rhode, Reza Razavi, David J. Hawkes, Sébastien Ourselin:
A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI. IEEE Trans. Medical Imaging 29(9): 1612-1625 (2010) - [c10]Xiahai Zhuang, Cheng Yao, YingLiang Ma, David J. Hawkes, Graeme P. Penney, Sébastien Ourselin:
Registration-based propagation for whole heart segmentation from compounded 3D echocardiography. ISBI 2010: 1093-1096 - [c9]Xiahai Zhuang, Kelvin K. Leung, Kawal S. Rhode, Reza Razavi, David J. Hawkes, Sébastien Ourselin:
Whole Heart Segmentation of Cardiac MRI Using Multiple Path Propagation Strategy. MICCAI (1) 2010: 435-443 - [c8]Xiahai Zhuang, David J. Hawkes, Sébastien Ourselin:
Spatial Information Encoded Mutual Information for Nonrigid Registration. WBIR 2010: 246-257
2000 – 2009
- 2009
- [c7]Xiahai Zhuang, Kawal S. Rhode, Reza Razavi, David J. Hawkes, Sébastien Ourselin:
Free-Form Deformations Using Adaptive Control Point Status for Whole Heart MR Segmentation. FIMH 2009: 303-311 - [c6]Xiahai Zhuang, David J. Hawkes, Sébastien Ourselin:
Unifying Encoding of Spatial Information in Mutual Information for Nonrigid Registration. IPMI 2009: 491-502 - 2008
- [c5]Xiahai Zhuang, Kawal S. Rhode, Simon R. Arridge, Reza Razavi, Derek L. G. Hill, David J. Hawkes, Sébastien Ourselin:
An Atlas-Based Segmentation Propagation Framework Using Locally Affine Registration - Application to Automatic Whole Heart Segmentation. MICCAI (2) 2008: 425-433 - [c4]Xiahai Zhuang, David J. Hawkes, William R. Crum, Redha Boubertakh, Sergio Uribe, David Atkinson, Philipp G. Batchelor, Tobias Schaeffter, Reza Razavi, Derek L. G. Hill:
Robust registration between cardiac MRI images and atlas for segmentation propagation. Image Processing 2008: 691408 - 2006
- [c3]Xiahai Zhuang, Lixu Gu:
Normal Vector Information Registration and Comparisons with Mutual Information. EMBC 2006: 3827-3830 - 2005
- [c2]Jianfeng Xu, Lixu Gu, Xiahai Zhuang, Terry M. Peters:
A Novel Multi-stage 3D Medical Image Segmentation: Methodology and Validation. CIS (1) 2005: 884-889 - [c1]Xiahai Zhuang, Lixu Gu, Jianfeng Xu:
Medical Image Alignment by Normal Vector Information. CIS (1) 2005: 890-895
Coauthor Index
[j41] [j40] [j39] [j38] [j33] [j31] [e4] [i52] [i51] [i50] [j29] [j28] [j27] [j25] [j23] [c54] [c53] [i46] [i45] [i44] [i38] [i36] [i34] [j20] [c52] [c50] [c49] [c48] [c47] [i32] [i30] [i28] [i26] [i25] [j17] [c45] [c44] [c41] [c40] [e2] [i23] [i22] [i20] [i19] [i18] [i17] [j13] [i12] [i11] [c36] [c35] [c34] [c33] [i5] [i4] [c31] [c30] [i2]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 22:35 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
