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Xin Li 0052
Person information
- affiliation: University of Leicester, Department of Cardiovascular Sciences, UK
- affiliation (PhD 2016): University of Leicester, Department of Engineering, UK
Other persons with the same name
- Xin Li — disambiguation page
- Xin Li 0001 — Duke Kunshan University, Data Science Research Center, China (and 3 more)
- Xin Li 0002 — University of California, San Diego, CA, USA (and 2 more)
- Xin Li 0003 (aka: Xin Shane Li) — Texas A&M University, TX, USA (and 2 more)
- Xin Li 0004 — City University of Hong Kong, Department of Information Systems, Hong Kong (and 1 more)
- Xin Li 0005 — University at Albany, NY, USA (and 3 more)
- Xin Li 0006 — Johns Hopkins University, Baltimore, Computer Science Department (and 1 more)
- Xin Li 0007 — Johns Hopkins University School of Medicine, Russell H. Morgan Department of Radiology and Radiological Science (and 1 more)
- Xin Li 0008 — Turn Inc. (and 1 more)
- Xin Li 0009 — University Carlos III, Madrid (and 1 more)
- Xin Li 0010 — East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, Shanghai, China (and 1 more)
- Xin Li 0011 — University of Illinois at Chicago, Dept. of Computer Science
- Xin Li 0012 — University of Illinois at Chicago, Dept. of Computer Science
- Xin Li 0013 — Temple University
- Xin Li 0014 — Columbia University, Department of Industrial Engineering and Operations Research
- Xin Li 0015 — Fraunhofer Institute for Computer Graphics Research, Darmstadt
- Xin Li 0016 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Xin Li 0017 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China (and 1 more)
- Xin Li 0018 — Beijing Yidianwangju Technology, Beijing, China / Microsoft BING, USA / Yahoo Labs, Sunnyvale, CA, USA / University of Illinois at Urbana-Champaign, IL, USA
- Xin Li 0019 — University of Nevada, Las Vegas, Department of Mathematical Sciences (and 1 more)
- Xin Li 0020 — University of Minnesota, Minneapolis, Department of Electrical and Computer Engineering, USA (and 1 more)
- Xin Li 0021 — University of Science and Technology of China, School of Mathematical Sciences, Hefei, China
- Xin Li 0022 — University of Central Florida, USA
- Xin Li 0023 — Norwegian University of Science and Technology, Trondheim, Norway
- Xin Li 0024 — Beijing University of Technology, College of Applied Sciences, China (and 1 more)
- Xin Li 0025 — Beijing Forestry University
- Xin Li 0026 — Villanova University, PA, USA
- Xin Li 0027 — Qingdao Agriculture University, Qingdao, China
- Xin Li 0028 — The Hong Kong University of Science and Technology
- Xin Li 0029 — Chinese Academy of Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Lanzhou, China
- Xin Li 0030 — City Universit of Hong Kong, Systems Engineering and Engineering Management
- Xin Li 0031 — China University of Mining and Technology, Xuzhou, China
- Xin Li 0032 — Xi'an Jiaotong University, School of Electronics and Information Engineering, Xi'an, China
- Xin Li 0033 — Beijing Institute of Technology, School of Computer Science, China (and 1 more)
- Xin Li 0034 — Peng Cheng Laboratory, Shenzhen, China (and 1 more)
- Xin Li 0035 — Massey University, Department of Management, Wellington, New Zealand
- Xin Li 0036 — Shanghai University, China
- Xin Li 0037 — China Three Gorges University, College of Science, Yichang, China
- Xin Li 0038 — Lanzhou Jiaotong University, School of Automation & Electrical Engineering, China
- Xin Li 0039 — Tianjin University, Tianjin Key Laboratory of Advanced Joining Technology, China
- Xin Li 0040 — Macau University of Science and Technology, School of Business, Macau
- Xin Li 0041 — Beijing University of Posts and Telecommunications, State Key Laboratory of Information Photonic and Optical Communication, China
- Xin Li 0042 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China (and 1 more)
- Xin Li 0043 — Yanshan University, Key Lab of Industrial Computer Control Engineering of Hebei Province, Qinhuangdao, China
- Xin Li 0044 — Yanshan University, School of Information Science and Engineering, Qinhuangdao, China
- Xin Li 0045 — Shanghai Maritime University, College of Arts and Sciences, China
- Xin Li 0046 — Wuhan University of Technology, School of Energy and Power Engineering, China
- Xin Li 0047 — Chang'an University, College of Geology Engineering and Geomatics, Xi'an, China (and 1 more)
- Xin Li 0048 — Hangzhou Dianzi University, School of Computer Science and Technology, China
- Xin Li 0049 — China Three Gorges University, College of Electrical Engineering and New Energy, Yichang, China (and 1 more)
- Xin Li 0050 — Wuhan University, Architecture Department, School of Urban Design, China
- Xin Li 0051 — Peking University, School of Electronic Engineering and Computer Science, MOE Key Laboratory of High Confidence Software Technologies, Beijing, China
- Xin Li 0053 — Kyoto University, Fukui Institute for Fundamental Chemistry, Japan
- Xin Li 0054 — Beijing Jiaotong University, School of Civil Engineering, China
- Xin Li 0055 — Heilongjiang University, School of Mathematical Science, Harbin, China
- Xin Li 0056 — The Chinese University of Hong Kong, China
- Xin Li 0057 — University of California at Santa Cruz, Department of Computer Science and Engineering, CA, USA (and 1 more)
- Xin Li 0058 — Tsinghua University, Department of Mechanical Engineering, State Key Laboratory of Tribology / Beijing Key Laboratory of Precision/Ultra-Precision Manufacture Equipment and Control, China
- Xin Li 0059 — University of Alabama, Tuscaloosa, USA
- Xin Li 0060 — Peking University, Department of Biomedical Engineering, State Key Laboratory for Turbulence and Complex Systems, Beijing, China (and 1 more)
- Xin Li 0061 — Zhejiang University, School of Mathematical Sciences, Hangzhou, China
- Xin Li 0062 — Chinese Academy of Sciences, Institute of Optics and Electronics, Chengdu, China
- Xin Li 0063 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching, China
- Xin Li 0064 — iFlyTek Research, Hefei, China (and 3 more)
- Xin Li 0065 — Nanjing Medical University, Department of Health Policy / Department of Clinical Pharmacy, China
- Xin Li 0066 — Chengdu University of Technology, College of Management Science, China
- Xin Li 0067 — East China Normal University, Information Technology Support, Shanghai, China
- Xin Li 0068 — Wuhan University, School of Electronic Information, China
- Xin Li 0069 — China Medical University, School of Public Health, Shenyang, China
- Xin Li 0070 — Tianjin University, State Key Laboratory of Engines, China
- Xin Li 0071 — Hunan University of Finance and Economics, School of Information Technology and Management, Changsha, China
- Xin Li 0072 — Zhejiang University, Department of Civil Engineering, Hangzhou, China
- Xin Li 0073 — Hunan Institute of Technology, School of Computer and Information Science, Hengyang, China
- Xin Li 0074 — Shanghai Maritime University, Laboratory of Underwater Vehicles and Intelligent systems, China
- Xin Li 0075 — Anhui Science and Technology University, Department of Mathematics, Fengyang, China (and 1 more)
- Xin Li 0076 — Central South University, School of Automation, Changsha, China
- Xin Li 0077 — Guangdong University of Technology, School of Information Engineering, Guangzhou, China
- Xin Li 0078 — Samsung Telecommunications America, USA
- Xin Li 0079 — Inception Institute of Artificial Intelligence, Abu Dhabi, UAE (and 1 more)
- Xin Li 0080 — Lehigh University, Department of Computer Science and Engineering, Bethlehem, PA, USA
- Xin Li 0081 — Wayne State University, Computer Science Department, Detroit, MI, USA
- Xin Li 0082 — University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, China
- Xin Li 0083 — Shanghai University, Materials Genome Institute, China
- Xin Li 0084 — Peking University, School of Software & Microelectronics, Beijing, China (and 1 more)
- Xin Li 0085 — Zhejiang University, Department of Mechanical Engineering, State Key Laboratory of Fluid Power Transmission and Control, Hangzhou, China (and 1 more)
- Xin Li 0086 — Nanjing University of Posts and Telecommunications, Nanjing University of Posts and Telecommunications, China
- Xin Li 0087 — Harbin Institute of Technology, Harbin Institute of Technology, China
- Xin Li 0088 — People's Public Security University of China, School of Information Technology and Cyber Security, Beijing, China (and 1 more)
- Xin Li 0089 — Oak Ridge National Laboratory, Center for Nanophase Materials Sciences, TN, USA (and 1 more)
- Xin Li 0090 — Hohai University, College of Computer and Information, Nanjing, China
- Xin Li 0091 — Huazhong University of Science and Technology, Wuhan, China (and 1 more)
- Xin Li 0092 — Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, State Key Laboratory of Resources and Environmental Information System, Beijing, China (and 1 more)
- Xin Li 0093 — Tongji University, College of Electronics and Information Engineering, Shanghai, China (and 1 more)
- Xin Li 0094 — PLA Strategic Support Force Information Engineering University, Information Technology Institute, Zhengzhou, China
- Xin Li 0095 — Hunan University, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Changsha, China
- Xin Li 0096 — Zhengzhou University, School of Mathematics and Statistics, China
- Xin Li 0097 — Xidian University, Guangzhou Institute of Technology, China (and 2 more)
- Xin Li 0098 — Central South University, School of Automation, Changsha, China
- Xin Li 0099 — Southeast University, National ASIC Research Center, Nanjing, China
- Xin Li 0100 — Guangdong University of Petrochemical Technology, College of Computer Science, Maoming, China (and 2 more)
- Xin Li 0101 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
- Xin Li 0102 — Shantou University, College of Engineering, MOE Key Laboratory of Intelligent Manufacturing Technology, China
- Xin Li 0103 — Wuhan University, School of Remote Sensing and Information Engineering, China
- Xin Li 0104 — Beijing Institute of Technology, Beijing, China
- Xin Li 0105 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 2 more)
- Xin Li 0106 — Baidu Inc., Department of Computer Vision Technology, VIS, Beijing, China
- Xin Li 0107 — Liaoning Technical University, Faculty of Electrical and Control Engineering, Huludao, China
- Xin Li 0108 — University of Arizona, Tucson, AZ, USA
- Xin Li 0109 — East China Normal University, Software Engineering Institute, National Trusted Embedded Software Engineering Technology Research Center, Shanghai, China
- Xin Li 0110 — East China Normal University, Shanghai, China
- Xin Li 0111 — School of Rehabilitation Medicine, Capital Medical University, Bejing, China
- Xin Li 0112 — Huawei Technologies, Shenzhen, China
- Xin Li 0113 — University of Science and Technology of China, Hefei, China
- Xin Li 0114 — Polytechnical University, School of Electronics and Information, Xi'an, China
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Journal Articles
- 2024
- [j9]Marko Mäkynen, G. André Ng, Xin Li, Fernando S. Schlindwein, Timothy C. Pearce:
Compressed Deep Learning Models for Wearable Atrial Fibrillation Detection through Attention. Sensors 24(15): 4787 (2024) - [j8]Long Chen, Zheheng Jiang, Joseph Barker, Huiyu Zhou, Fernando S. Schlindwein, Will Nicolson, G. André Ng, Xin Li:
ECGVEDNET: A Variational Encoder-Decoder Network for ECG Delineation in Morphology Variant ECGs. IEEE Trans. Biomed. Eng. 71(7): 2143-2153 (2024) - 2023
- [j7]Marko Mäkynen, G. André Ng, Xin Li, Fernando S. Schlindwein:
Correction: Mäkynen et al. Wearable Devices Combined with Artificial Intelligence - A Future Technology for Atrial Fibrillation Detection? Sensors 2022, 22, 8588. Sensors 23(18): 7972 (2023) - 2021
- [j6]Tiago P. Almeida, Diogo C. Soriano, Michela Masè, Flavia Ravelli, Arthur S. Bezerra, Xin Li, Gavin S. Chu, João Salinet, Peter J. Stafford, G. André Ng, Fernando S. Schlindwein, Takashi Yoneyama:
Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation. IEEE Trans. Biomed. Eng. 68(4): 1131-1141 (2021) - [j5]Zheheng Jiang, Feixiang Zhou, Aite Zhao, Xin Li, Ling Li, Dacheng Tao, Xuelong Li, Huiyu Zhou:
Multi-View Mouse Social Behaviour Recognition With Deep Graphic Model. IEEE Trans. Image Process. 30: 5490-5504 (2021) - 2019
- [j4]Frederique Jos Vanheusden, Gavin S. Chu, Xin Li, João Loures Salinet Jr., Tiago P. Almeida, Nawshin Dastagir, Peter J. Stafford, G. André Ng, Fernando S. Schlindwein:
Systematic differences of non-invasive dominant frequency estimation compared to invasive dominant frequency estimation in atrial fibrillation. Comput. Biol. Medicine 104: 299-309 (2019) - 2018
- [j3]Tiago P. Almeida, Gavin S. Chu, Michael J. Bell, Xin Li, João Loures Salinet Jr., Nawshin Dastagir, Jiun H. Tuan, Peter J. Stafford, Ghulam André Ng, Fernando S. Schlindwein:
The temporal behavior and consistency of bipolar atrial electrograms in human persistent atrial fibrillation. Medical Biol. Eng. Comput. 56(1): 71-83 (2018) - 2017
- [j2]Xin Li, João Loures Salinet Jr., Tiago P. Almeida, Frederique Jos Vanheusden, Gavin S. Chu, Ghulam André Ng, Fernando S. Schlindwein:
An interactive platform to guide catheter ablation in human persistent atrial fibrillation using dominant frequency, organization and phase mapping. Comput. Methods Programs Biomed. 141: 83-92 (2017) - 2016
- [j1]Tiago P. Almeida, Gavin S. Chu, João Loures Salinet Jr., Frederique Jos Vanheusden, Xin Li, Jiun H. Tuan, Peter J. Stafford, Ghulam André Ng, Fernando S. Schlindwein:
Minimizing discordances in automated classification of fractionated electrograms in human persistent atrial fibrillation. Medical Biol. Eng. Comput. 54(11): 1695-1706 (2016)
Conference and Workshop Papers
- 2023
- [c31]Taher A. Biala, Ahmad Ramahi, Obianom Ekenedirichukwu, Xin Li, Fernando S. Schlindwein:
Use of AI to Assess Control and Diseased Children at 10 Years of Age. CinC 2023: 1-4 - [c30]Obianom Ekenedirichukwu, Marko Mäkynen, Noor Qaqos, Shamsu Idris Abdullahi, Fernando S. Schlindwein, G. André Ng, Xin Li:
Predicting Cardiac Arrest Recovery with Shallow and Deep Learning Models. CinC 2023: 1-4 - [c29]Noor Qaqos, Fernando S. Schlindwein, G. André Ng, Xin Li:
Choosing Electrogram Features for Predicting Catheter Ablation Outcomes in Persistent Atrial Fibrillation. CinC 2023: 1-4 - [c28]Noor Qaqos, Fernando S. Schlindwein, G. André Ng, Xin Li:
Evaluating Electrograms Domain Knowledge for Enhancing Catheter Ablation Outcomes Based on Time Series Features. CinC 2023: 1-4 - 2022
- [c27]Xin Li, Charlie Hugill, Gavin S. Chu, Mahmoud Ehnesh, Tiago P. Almeida, Bharat Sidhu, Ibrahim Antoun, Ahmed Kotb, Peter J. Stafford, G. André Ng, Fernando S. Schlindwein:
Can Sequentially Collected Electrograms Be Effectively Used for Dominant Frequency Mapping During Persistent AF? CinC 2022: 1-4 - [c26]Xin Li, G. André Ng, Fernando S. Schlindwein:
Transfer Learning in Heart Sound Classification using Mel Spectrogram. CinC 2022: 1-4 - 2021
- [c25]Tiago P. Almeida, Xin Li, Bharat Sidhu, Arthur S. Bezerra, Mahmoud Ehnesh, Ibrahim Anton, Ibrahim A. Nasser, Gavin S. Chu, Peter J. Stafford, Takashi Yoneyama, G. André Ng, Fernando S. Schlindwein:
Dominant Frequency and Organization Index for Substrate Identification of Persistent Atrial Fibrillation. CinC 2021: 1-4 - [c24]Long Chen, Zheheng Jiang, Tiago P. Almeida, Fernando S. Schlindwein, Jakevir S. Shoker, G. André Ng, Huiyu Zhou, Xin Li:
Spatio-Temporal ECG Network for Detecting Cardiac Disorders from Multi-Lead ECGs. CinC 2021: 1-4 - [c23]Mahmoud Ehnesh, Xin Li, Tiago P. Almeida, Sidhu Bharat, Ibrahim Antoun, Nawshin Dastagir, Peter J. Stafford, G. André Ng, Fernando S. Schlindwein:
Spatiotemporal Behaviour of Human Persistent Atrial Fibrillation from Long-Duration Recordings. CinC 2021: 1-4 - 2020
- [c22]Tiago P. Almeida, Mark Nothstein, Xin Li, Michela Masè, Flavia Ravelli, Diogo C. Soriano, Arthur S. Bezerra, Fernando S. Schlindwein, Takashi Yoneyama, Olaf Dössel, G. André Ng, Axel Loewe:
Phase Singularities in a Cardiac Patch Model With a Non-conductive Fibrotic Area During Atrial Fibrillation. CinC 2020: 1-4 - [c21]Arthur S. Bezerra, Takashi Yoneyama, Diogo C. Soriano, Giorgio Luongo, Xin Li, Flavia Ravelli, Michela Masè, Gavin S. Chu, Peter J. Stafford, Fernando S. Schlindwein, G. André Ng, Tiago P. Almeida:
Optimizing Atrial Electrogram Classification Based on Local Ablation Outcome in Human Atrial Fibrillation. CinC 2020: 1-4 - [c20]Zheheng Jiang, Tiago P. Almeida, Fernando S. Schlindwein, G. André Ng, Huiyu Zhou, Xin Li:
Diagnostic of Multiple Cardiac Disorders from 12-lead ECGs Using Graph Convolutional Network Based Multi-label Classification. CinC 2020: 1-4 - 2019
- [c19]Xin Li, G. André Ng, Fernando S. Schlindwein:
Convolutional and Recurrent Neural Networks for Early Detection of Sepsis Using Hourly Physiological Data from Patients in Intensive Care Unit. CinC 2019: 1-4 - [c18]Mahmoud Ehnesh, Xin Li, Nawshin Dastagir, Saaima Ahmad, Taher A. Biala, Peter J. Stafford, G. André Ng, Fernando S. Schlindwein:
Investigating the Optimal Recording Duration for Summarising Spatiotemporal Behaviours of Long Lifespan Rotors Using Phase Mapping of Non-Contact Electrograms During Persistent Atrial Fibrillation. CinC 2019: 1-4 - [c17]Frederique Jos Vanheusden, Ahmed Ulusow, Gavin S. Chu, Xin Li, João Loures Salinet Jr., Peter J. Stafford, G. André Ng, Fernando S. Schlindwein:
Are Atrial Fibrillation Dominant Frequency Areas the Source of Dominant Excitation Patterns? A Left Atrial Panoramic View. CinC 2019: 1-4 - [c16]Tiago P. Almeida, Laura A. Unger, Diogo C. Soriano, Xin Li, Olaf Dössel, Takashi Yoneyama, Axel Loewe:
Recurrence Quantification Analysis for Investigating Atrial Fibrillation Dynamics in a Heterogeneous Simulation Setup. EMBC 2019: 2277-2280 - 2018
- [c15]Xin Li, Gavin S. Chu, Tiago Paggi de Almeida, João Salinet, Amar R. Mistry, Zakariyya Vali, Peter J. Stafford, Fernando S. Schlindwein, G. André Ng:
A K-Nearest Neighbours Classifier for Predicting Catheter Ablation Responses Using Noncontact Electrograms During Persistent Atrial Fibrillation. CinC 2018: 1-4 - [c14]Xin Li, Gavin S. Chu, Tiago Paggi de Almeida, João Salinet, Amar R. Mistry, Zakariyya Vali, Peter J. Stafford, Fernando S. Schlindwein, G. André Ng:
Dominant Frequency Variability Mapping for Identifying Stable Drivers During Persistent Atrial Fibrillation Using Noncontact Mapping. CinC 2018: 1-4 - [c13]Tiago Paggi de Almeida, Diogo C. Soriano, Xin Li, Gavin S. Chu, João Loures Salinet Jr., Fernando S. Schlindwein, Peter J. Stafford, G. André Ng, Takashi Yoneyama:
Unsupervised k-Mean Classification of Atrial Electrograms From Human Persistent Atrial Fibrillation. CinC 2018: 1-4 - 2017
- [c12]Tiago P. Almeida, Fernando S. Schlindwein, João Loures Salinet Jr., Xin Li, Gavin S. Chu, Jiun H. Tuan, Peter J. Stafford, Ghulam André Ng, Diogo Soriano:
Deterministic Structures in Fractionated Atrial Electrograms During Human Persistent Atrial Fibrillation. CinC 2017 - [c11]João Loures Salinet Jr., Fernando S. Schlindwein, Peter J. Stafford, Tiago P. Almeida, Xin Li, Frederique Jos Vanheusden, María de la Salud Guillem Sánchez, G. André Ng:
Persistent Atrial Fibrillation Hierarchical Activation: from Highest DF Sites to Wave Fractionation at the Boundaries. CinC 2017 - 2016
- [c10]Tiago P. Almeida, Gavin S. Chu, Xin Li, João Loures Salinet Jr., Nawshin Dastagir, Michael J. Bell, Frederique Jos Vanheusden, Jiun H. Tuan, Peter J. Stafford, G. André Ng, Fernando S. Schlindwein:
Contributing Factors Concerning Inconsistencies in Persistent Atrial Fibrillation Ablation Outcomes. CinC 2016 - [c9]Nawshin Dastagir, Tiago P. Almeida, Xin Li, Frederique Jos Vanheusden, Gavin S. Chu, Peter J. Stafford, G. André Ng, Fernando S. Schlindwein:
Dynamic Behavior of Rotors during Human Persistent Atrial Fibrillation as observed using Non-Contact Mapping. CinC 2016 - 2015
- [c8]Tiago P. Almeida, Gavin S. Chu, João Loures Salinet Jr., Frederique Jos Vanheusden, Xin Li, Jiun H. Tuan, Peter J. Stafford, G. André Ng, Fernando S. Schlindwein:
Unifying Automated Fractionated Atrial Electrograms Classification using Electroanatomical Mapping Systems in Persistent Atrial Fibrillation Studies. CinC 2015: 53-56 - [c7]Nawshin Dastagir, Xin Li, Frederique Jos Vanheusden, Tiago P. Almeida, João Loures Salinet Jr., Gavin S. Chu, Peter J. Stafford, G. André Ng, Fernando S. Schlindwein:
Combination of Frequency and Phase to Characterise the Spatiotemporal Behaviour of Cardiac Waves during Persistent Atrial Fibrillation in Humans. CinC 2015: 57-60 - [c6]Xin Li, Gavin S. Chu, Tiago P. Almeida, Frederique Jos Vanheusden, Nawshin Dastagir, João Loures Salinet Jr., Peter J. Stafford, G. André Ng, Fernando S. Schlindwein:
Investigation on Recurrent High Dominant Frequency Spatiotemporal Patterns during Persistent Atrial Fibrillation. CinC 2015: 61-64 - [c5]João Loures Salinet Jr., María S. Guillem, Tiago P. Almeida, Xin Li, Daniel Gustavo Goroso, Gavin S. Chu, G. André Ng, Fernando S. Schlindwein:
Drifting Rotors Prevalence Is Associated with Dominant Frequency Reduction after Persistent Atrial Fibrillation Ablation. CinC 2015: 269-272 - 2014
- [c4]Xin Li, João Loures Salinet Jr., Tiago P. Almeida, Frederique Jos Vanheusden, Gavin S. Chu, G. André Ng, Fernando S. Schlindwein:
A Platform to guide Catheter Ablation of Persistent Atrial Fibrillation using Dominant Frequency Mapping. CinC 2014: 649-652 - [c3]Nawshin Dastagir, João Loures Salinet Jr., Frederique Jos Vanheusden, Tiago P. Almeida, Xin Li, Gavin S. Chu, G. André Ng, Fernando S. Schlindwein:
Spatiotemporal Behaviour of High Dominant Frequency during Persistent Atrial Fibrillation. CinC 2014: 653-656 - [c2]João Loures Salinet Jr., Jiun H. Tuan, Angela S. M. Salinet, Xin Li, Peter J. Stafford, G. André Ng, Fernando S. Schlindwein:
Distinctive Patterns of Dominant Frequency Trajectory Behaviour in Persistent Atrial Fibrillation: Spatio-temporal Characterisation. CinC 2014: 657-660 - 2013
- [c1]Frederique Jos Vanheusden, Xin Li, Gavin S. Chu, Tiago P. Almeida, G. André Ng, Fernando S. Schlindwein:
Analysis of Spatial Variability for the Development of Reduced Lead Body Surface Maps. CinC 2013: 535-538
Informal and Other Publications
- 2020
- [i1]Zheheng Jiang, Feixiang Zhou, Aite Zhao, Xin Li, Ling Li, Dacheng Tao, Xuelong Li, Huiyu Zhou:
Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model. CoRR abs/2011.02451 (2020)
Coauthor Index
aka: Tiago Paggi de Almeida
aka: Ghulam André Ng
aka: João Salinet
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