Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Gongsen Zhang"'
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
PurposeAs a non-invasive method for brain diseases, transcranial focused ultrasound (tFUS) offers higher spatial precision and regulation depth. Due to the altered path and intensity of sonication penetrating the skull, the focus and intensity in the
Externí odkaz:
https://doaj.org/article/7c53256e915f47d8b804834a8f591eb2
Publikováno v:
Radiation Oncology, Vol 17, Iss 1, Pp 1-17 (2022)
Externí odkaz:
https://doaj.org/article/1cd64866d9564eb6b38aacc589954447
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
PurposeThe aim of this study is to develop an augmented reality (AR)–assisted radiotherapy positioning system based on HoloLens 2 and to evaluate the feasibility and accuracy of this method in the clinical environment.MethodsThe obtained simulated
Externí odkaz:
https://doaj.org/article/065b7b98dafa4c819ef25229910933e7
Autor:
Yuchun Wei, Yuhong Sun, Junyan Liu, Gongsen Zhang, Xueting Qin, Shengnan Xu, Shijie Wang, Yuanyuan Tao, Jinli Pei, Jinming Yu
Publikováno v:
European Journal of Nuclear Medicine and Molecular Imaging. 50:453-464
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba8ef9b0dba15b64643403637929d8a6
https://doi.org/10.1007/s00259-022-05962-y
https://doi.org/10.1007/s00259-022-05962-y
Autor:
Gongsen Zhang, Zejun Jiang, Jian Zhu, Tianyuan Dai, Xiaolong He, Xinchao Liu, Yankui Chang, Linlin Wang
Publikováno v:
Medical Physics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9599e432af868c3486118c78541dd08
https://doi.org/10.1002/mp.16417
https://doi.org/10.1002/mp.16417
Purpose: To develop a 3D dose distribution prediction deep learning model for volumetric modulated arc radiotherapy (VMAT) of cervical cancer, and to explore the impact of different multichannel input data on the prediction accuracy, especially to pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3d6c747ac556b8bc7ce6be5c9ba0612
https://doi.org/10.21203/rs.3.rs-2056810/v1
https://doi.org/10.21203/rs.3.rs-2056810/v1
Publikováno v:
Radiation Protection Dosimetry. 190:58-65
To help minimise occupational radiation exposure in interventional radiology, we conceptualised a virtual reality-based radiation safety training system to help operators understand complex radiation fields and to avoid high radiation areas through g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6330dd30d74598bd1830e71ac8166d72
https://doi.org/10.1093/rpd/ncaa082
https://doi.org/10.1093/rpd/ncaa082
Autor:
Wei, Yuchun1, Sun, Yuhong2, Liu, Junyan3, Zhang, Gongsen4, Qin, Xueting1, Xu, Shengnan4, Wang, Shijie4, Tao, Yuanyuan1, Pei, Jinli4 peijinli609@163.com, Yu, Jinming1,4 sdyujinming@163.com
Publikováno v:
European Journal of Nuclear Medicine & Molecular Imaging. Jan2023, Vol. 50 Issue 2, p453-464. 12p. 2 Color Photographs, 1 Diagram, 4 Graphs.
Autor:
Zhang, Gongsen1 (AUTHOR), Jiang, Zejun2 (AUTHOR), Zhu, Jian3 (AUTHOR), Wang, Linlin2 (AUTHOR) wanglinlinatjn@163.com
Publikováno v:
Radiation Oncology. 11/16/2022, Vol. 17 Issue 1, p1-17. 17p.
Autor:
Zhang, Gongsen, Jiang, Zejun, Zhu, Jian, Dai, Tianyuan, He, Xiaolong, Liu, Xinchao, Chang, Yankui, Wang, Linlin
Publikováno v:
Medical Physics; Jul2023, Vol. 50 Issue 7, p4505-4520, 16p