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2020 – today
- 2024
[j43]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)- [j42]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) - [c62]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 - [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]