Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Tiancong Hua"'
Autor:
Georgios Tziritas, Yeonggul Jang, Jin Ma, Fumin Guo, Quanzheng Li, Tiancong Hua, Xiang Li, Lihong Liu, Angélica Atehortúa, James R. Clough, Zhiqiang Hu, Eric Kerfoot, Vicente Grau, Enzo Ferrante, Matthew Ng, Guanyu Yang, Mireille Garreau, Alejandro Debus, Elias Grinias, Jiahui Li, Wufeng Xue, Shuo Li, Wenjun Yan, Ilkay Oksuz, Hao Xu
Publikováno v:
IEEE Journal of Biomedical and Health Informatics
IEEE Journal of Biomedical and Health Informatics, Institute of Electrical and Electronics Engineers, 2021, 25 (9), pp.3541-3553. ⟨10.1109/JBHI.2021.3064353⟩
IEEE J Biomed Health Inform
IEEE Journal of Biomedical and Health Informatics, 2021, 25 (9), pp.3541-3553. ⟨10.1109/JBHI.2021.3064353⟩
IEEE Journal of Biomedical and Health Informatics, Institute of Electrical and Electronics Engineers, 2021, 25 (9), pp.3541-3553. ⟨10.1109/JBHI.2021.3064353⟩
IEEE J Biomed Health Inform
IEEE Journal of Biomedical and Health Informatics, 2021, 25 (9), pp.3541-3553. ⟨10.1109/JBHI.2021.3064353⟩
Automatic quantification of the left ventricle (LV) from cardiac magnetic resonance (CMR) images plays an important role in making the diagnosis procedure efficient, reliable, and alleviating the laborious reading work for physicians. Considerable ef
Autor:
Xiaomei Zhu, Tiancong Hua, Youyong Kong, Huazhong Shu, Guanyu Yang, Lijun Tang, Ziwei Lu, Jean-Louis Coatrieux, Liyu Hu, Jean-Louis Dillenseger
Publikováno v:
2019 IEEE International Conference on Image Processing (ICIP)
2019 IEEE International Conference on Image Processing (ICIP), Sep 2019, Taipei, Taiwan. pp.2174-2178, ⟨10.1109/ICIP.2019.8803163⟩
ICIP
2019 IEEE International Conference on Image Processing (ICIP), Sep 2019, Taipei, Taiwan. pp.2174-2178, ⟨10.1109/ICIP.2019.8803163⟩
ICIP
International audience; In this paper, an unsupervised cycle image registration convolutional neural network named CIRNet is developed for 3D medical image registration. Different from most deep learning based registration methods that require known
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f345011fc725d21b4b62ff5ed81981ef
https://hal.archives-ouvertes.fr/hal-02281541/document
https://hal.archives-ouvertes.fr/hal-02281541/document
Autor:
Jiasong Wu, Xiaomei Zhu, Tiancong Hua, Liyu Hu, Tan Pan, Guanyu Yang, Xiao Yang, Chao Lu, Huazhong Shu
Publikováno v:
Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges ISBN: 9783030120283
STACOM@MICCAI
STACOM@MICCAI
Automatic quantitative analysis of cardiac left ventricle (LV) function is one of challenging task for heart disease diagnosis. Four different parameters, i.e. regional wall thicknesses (RWT), area of myocardium and LV cavity, LV dimensions in differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9f9703ea52caa550153be5a3c4d9e7f
https://doi.org/10.1007/978-3-030-12029-0_46
https://doi.org/10.1007/978-3-030-12029-0_46
Publikováno v:
IEEE Access, Vol 11, Pp 85728-85746 (2023)
In heterogeneous multicore processor architectures, it is a critical concern to optimize the performance of typed tasks (real-time and non-real-time tasks) under limited power consumption. In this paper, we propose a power-constrained federated sched
Externí odkaz:
https://doaj.org/article/b5084fe1e74c44bdae66e39c9646066b
Publikováno v:
Sensors, Vol 24, Iss 2, p 651 (2024)
Participatory crowdsensing (PCS) is an innovative data sensing paradigm that leverages the sensors carried in mobile devices to collect large-scale environmental information and personal behavioral data with the user’s participation. In PCS, task a
Externí odkaz:
https://doaj.org/article/4b10e11b2f304f968226e164c1e668cf
Publikováno v:
IET Communications, Vol 16, Iss 13, Pp 1570-1581 (2022)
Abstract This paper discusses an artificial noise‐aided intelligent reflecting surface‐MIMO–OFDM system physical layer secure communication, in which two cases for the intelligent reflecting surface reflection coefficient models are considered
Externí odkaz:
https://doaj.org/article/359e7fa53acf425e91720501045bfa37
Publikováno v:
Sensors, Vol 23, Iss 17, p 7550 (2023)
Flying ad hoc networks (FANETs), composed of small unmanned aerial vehicles (UAVs), possess characteristics of flexibility, cost-effectiveness, and rapid deployment, rendering them highly attractive for a wide range of civilian and military applicati
Externí odkaz:
https://doaj.org/article/0b50cdfe458f47149460a885891c1cc9
Publikováno v:
Sensors, Vol 23, Iss 15, p 6668 (2023)
Channel estimation of an orthogonal frequency division multiplexing (OFDM) system based on compressed sensing can effectively reduce the pilot overhead and improve the utilization rate of spectrum resources. The traditional SAMP algorithm with a fixe
Externí odkaz:
https://doaj.org/article/20c7ebcfb7794a1390d00efec0fcf974
Publikováno v:
Sensors, Vol 23, Iss 10, p 4943 (2023)
Intelligent telemedicine technology has been widely applied due to the quick development of the Internet of Things (IoT). The edge-computing scheme can be regarded as a feasible solution to reduce energy consumption and enhance the computing capabili
Externí odkaz:
https://doaj.org/article/67fa881703824f43a106b473ad46cd69
Publikováno v:
IEEE Access, Vol 8, Pp 177053-177063 (2020)
In this paper, an interference detection algorithm based on fuzzy logic fusion is proposed for the interference monitoring system (IMS) of the global satellite navigation system (GNSS). In particular, for the problem of reduced detection performance
Externí odkaz:
https://doaj.org/article/65c2769a8b794af4b9f4ae424aa56030