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ORCIDLei Li 0020
Person information
- affiliation: University of Oxford, Institute of Biomedical Engineering, UK
- affiliation (former): Shanghai Jiao Tong University, School of Biomedical Engineering, China
- affiliation (former): Fudan University, School of Data Science, Shanghai, China
Other persons with the same name
- Lei Li — disambiguation page
- Lei Li 0001
![[0000-0002-0688-9619]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0688-9619")
— Florida International University, School of Computing and Information Sciences, Miami, FL, USA - Lei Li 0002 — Hefei University of Technology, School of Computer and Information, Hefei, China (and 1 more)
- Lei Li 0003 (aka: Lei Thor Li) — Hong Kong University of Science and Technology (and 1 more)
- Lei Li 0004 — Baylor College of Medicine: Houston, TX, USA (and 2 more)
- Lei Li 0005 — Carnegie Mellon University, School of Computer Science, Language Technologies Institute, PA, USA (and 5 more)
- Lei Li 0006 — Duke University, Department of Mathematics, Durham, NC, USA (and 2 more)
- Lei Li 0007 — Zhejiang University, State Key Laboratory of Fluid Power and Mechatronics Systems, Hangzhou, China
- Lei Li 0008 — Shandong University of Finance and Economics, School of Computer Science and Technology, Jinan, China (and 1 more)
- Lei Li 0009 — Beijing University of Posts and Telecommunications, School of Artificial Intelligence, Beijing, China (and 1 more)
- Lei Li 0010 — South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China
- Lei Li 0011 — South China Agricultural University, College of Economics and Management, Guangzhou, China
- Lei Li 0012 — University of Connecticut, Department of Computer Science and Engineering, Storrs, CT, USA
- Lei Li 0013 — Qingdao University, School of Basic Medical Science / School of Data Science and Software Engineering, China (and 1 more)
- Lei Li 0014 — Jiangnan University, Business School, Wuxi, China
- Lei Li 0015 — George Mason University, Department of Statistics, Fairfax, VA, USA
- Lei Li 0016 — Central South University, Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Changsha, China
- Lei Li 0017 — Beihang University, School of Reliability and Systems Engineering, Beijing, China
- Lei Li 0019 — National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China
- Lei Li 0021 — Kennesaw State University, College of Computing and Software Engineering, GA, USA (and 2 more)
- Lei Li 0022 — Sun Yat-sen University, Department of Computer Science, Guangzhou, China
- Lei Li 0023 — Cornell University, Ithaca, NY, USA (and 1 more)
- Lei Li 0024 — California Institute of Technology, Department of Electrical Engineering, Pasadena, CA, USA
- Lei Li 0025 — China University of Petroleum, College of Science, Qingdao, China (and 1 more)
- Lei Li 0026 — University of Alberta, Department of Mechanical Engineering, Edmonton, AB, Canada
- Lei Li 0027 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Lei Li 0028 — Shangdong Technology and Business University, School of Information and Electronic Engineering, Yantai, China (and 1 more)
- Lei Li 0029 — Zhengzhou University, School of Physics and Engineering, China (and 1 more)
- Lei Li 0030 — Virginia Polytechnic Institute and State University, Department of Electrical and Computer Engineering, Blacksburg, VA, USA (and 1 more)
- Lei Li 0031 — Xidian University, School of Mechano-Electronic Engineering, Xi'an, China
- Lei Li 0032 — Northwestern Polytechnincal University, Department of Engineering Mechanics, Xi'an, China
- Lei Li 0033 — Southwest Jiaotong University, MoE Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Chengdu, China
- Lei Li 0034 — State Grid Shandong Electric Power Company, Jinan, China
- Lei Li 0035 — University of Franche-Comté, France
- Lei Li 0036 — Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA
- Lei Li 0037 — Beijing Normal University, Department of Information Management, Beijing, China (and 1 more)
- Lei Li 0038 — École Polytechnique, LIX, Paris, France (and 1 more)
- Lei Li 0039 — University of Hong Kong, Hong Kong (and 1 more)
- Lei Li 0040 — Zhejiang University, Hangzhou, China
- Lei Li 0041 — Fujitsu R&D Center, Ocean International Center, Beijing, China
- Lei Li 0042 — Hong Kong Baptist University, Department of Computer Science, Kowloon, Hong Kong
- Lei Li 0043 — East China Normal University, School of Data Science and Engineering, Shanghai, China (and 1 more)
- Lei Li 0044 — Tongji University, College of Electronic and Information Engineering, Shanghai, China (and 1 more)
- Lei Li 0045 — Hosei University, Department of Applied Informatics, Tokyo, Japan (and 2 more)
- Lei Li 0046 — Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology, Changchun, China (and 1 more)
- Lei Li 0047 — BGP, CNPC, Research and Development Center, Zhuozhou, China
- Lei Li 0048 — Xiamen University, Department of Software Engineering, Fujian, China
- Lei Li 0049 — Chinese Academy of Sciences, Institute of Software, Laboratory of General Software, Beijing, China (and 1 more)
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2020 – today
- 2024
[j18]Yuhao Huang, Xin Yang, Lian Liu, Han Zhou, Ao Chang, Xinrui Zhou, Rusi Chen, Junxuan Yu, Jiongquan Chen, Chaoyu Chen, Sijing Liu, Haozhe Chi, Xindi Hu, Kejuan Yue, Lei Li, Vicente Grau, Deng-Ping Fan, Fajin Dong, Dong Ni:
Segment anything model for medical images? Medical Image Anal. 92: 103061 (2024)- [j17]Lei Li, Julià Camps, Zhinuo Jenny Wang, Marcel Beetz, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau:
Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. IEEE Trans. Medical Imaging 43(7): 2466-2478 (2024) - [c22]Zilong Wang, Xinyang Ge, Xiaorong Chen, Lei Li, Wangbin Ding, Yuanye Liu, Fuping Wu, Dengqiang Jia:
Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution. ShapeMI@MICCAI 2024: 48-58 - [i33]Chen Chen, Lei Li, Marcel Beetz, Abhirup Banerjee, Ramneek Gupta, Vicente Grau:
Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction. CoRR abs/2403.10581 (2024) - [i32]Lei Li, Julià Camps, Blanca Rodríguez, Vicente Grau:
Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey. CoRR abs/2406.11445 (2024) - [i31]Lei Li, Hannah J. Smith, Yilin Lyu, Julià Camps, Blanca Rodríguez, Abhirup Banerjee, Vicente Grau:
Personalized Topology-Informed 12-Lead ECG Electrode Localization from Incomplete Cardiac MRIs for Efficient Cardiac Digital Twins. CoRR abs/2408.13945 (2024) - 2023
- [j16]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) - [j15]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) - [j14]Lei Li, Wangbin Ding, Liqin Huang, Xiahai Zhuang, Vicente Grau:
Multi-modality cardiac image computing: A survey. Medical Image Anal. 88: 102869 (2023) - [j13]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) - [j12]Gongping Chen, Lei Li, Jianxun Zhang, Yu Dai:
Rethinking the unpretentious U-net for medical ultrasound image segmentation. Pattern Recognit. 142: 109728 (2023) - [j11]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) - [j10]Gongping Chen, Lei Li, Yu Dai, Jianxun Zhang, Moi Hoon Yap:
AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images. IEEE Trans. Medical Imaging 42(5): 1289-1300 (2023) - [j9]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) - [c21]Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, Vicente Grau:
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. EMBC 2023: 1-4 - [c20]Lei Li, Julià Camps, Zhinuo J. Wang, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau:
Influence of Myocardial Infarction on QRS Properties: A Simulation Study. FIMH 2023: 223-232 - [e2]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] - [i30]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) - [i29]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) - [i28]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) - [i27]Lei Li, Julià Camps, Zhinuo J. Wang, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau:
Influence of Myocardial Infarction on QRS Properties: A Simulation Study. CoRR abs/2304.01796 (2023) - [i26]Lei Li, Julià Camps, Zhinuo J. Wang, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau:
Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. CoRR abs/2307.04421 (2023) - [i25]Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, Vicente Grau:
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. CoRR abs/2307.07298 (2023) - 2022
- [j8]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) - [j7]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) - [j6]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) - [j5]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) - [j4]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) - [c19]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 - [c18]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 - [c17]Lei Li, Julià Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau:
Deep Computational Model for the Inference of Ventricular Activation Properties. STACOM@MICCAI 2022: 369-380 - [i24]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) - [i23]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) - [i22]Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks. CoRR abs/2202.02000 (2022) - [i21]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) - [i20]Lei Li, Julià Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau:
Deep Computational Model for the Inference of Ventricular Activation Properties. CoRR abs/2208.04028 (2022) - [i19]Lei Li, Wangbin Ding, Liqun Huang, Xiahai Zhuang, Vicente Grau:
Multi-Modality Cardiac Image Computing: A Survey. CoRR abs/2208.12881 (2022) - [i18]Gongping Chen, Lei Li, Yu Dai, Jianxun Zhang:
NU-net: An Unpretentious Nested U-net for Breast Tumor Segmentation. CoRR abs/2209.07193 (2022) - [i17]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
- [j3]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) - [c16]Sihan Wang, Lei Li, Xiahai Zhuang:
AttU-NET: Attention U-Net for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2021: 302-311 - [c15]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 - [c14]Wangbin Ding, Lei Li, Liqin Huang, Xiahai Zhuang:
Unsupervised Multi-modality Registration Network Based on Spatially Encoded Gradient Information. STACOM@MICCAI 2021: 151-159 - [c13]Fuping Wu, Lei Li, Xiahai Zhuang:
Multi-modality Cardiac Segmentation via Mixing Domains for Unsupervised Adaptation. STACOM@MICCAI 2021: 179-188 - [c12]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 - [i16]Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Unsupervised MMRegNet based on Spatially Encoded Gradient Information. CoRR abs/2105.07392 (2021) - [i15]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) - [i14]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) - [i13]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) - [i12]Lei Li, Fuping Wu, Sihang Wang, Xiahai Zhuang:
Multi-Modality Cardiac Image Analysis with Deep Learning. CoRR abs/2111.04736 (2021) - 2020
- [j2]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) - [c11]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 - [c10]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 - [c9]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 - [c8]Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Cross-Modality Multi-atlas Segmentation Using Deep Neural Networks. MICCAI (3) 2020: 233-242 - [c7]Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Nooshin Ghavami, Robert Wright, Lei Li, Jacqueline Matthew, Joseph V. Hajnal, Julia A. Schnabel:
A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation. ASMUS/PIPPI@MICCAI 2020: 264-273 - [e1]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] - [i11]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) - [i10]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) - [i9]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) - [i8]Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks. CoRR abs/2008.08946 (2020) - [i7]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) - [i6]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)
2010 – 2019
- 2019
- [j1]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) - [i5]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) - [i4]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) - 2018
- [c6]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 - [c5]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 - [c4]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 - [c3]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 - [i3]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) - [i2]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) - 2017
- [c2]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 - [c1]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 - [i1]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)
Coauthor Index
[j16] [j15] [j14] [j13] [j11] [j9] [e2] [i30] [i29] [i28] [j8] [j7] [j6] [j5] [j4] [c19] [c18] [i24] [i23] [i22] [i21] [i19] [i17] [j3] [c16] [c15] [c14] [c13] [c12] [i16] [i15] [i14] [i13] [i12] [j2] [c11] [c10] [c9] [c8] [e1] [i11] [i10] [i9] [i8] [i7] [i6] [j1] [i5] [i4] [c6] [c5] [c4] [c3] [i3] [i2] [c2] [c1] [i1]
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