المؤلفون: Li, Yukun, Li, Baosheng, Zhu, Jian, Yin, Yong, Li, Zhenjiang

المساهمون: National Natural Science Foundation of China

المصدر: Technology in Cancer Research & Treatment ; volume 23 ; ISSN 1533-0346 1533-0338

مصطلحات موضوعية: Cancer Research, Oncology

الإتاحة: https://doi.org/10.1177/15330338241227291Test

المؤلفون: Zhao, Qian, Sun, Jinglong, Zheng, Feng, Dan Han, MD, Fu, Chengrui, Sun, Hongfu, Liu, Chengxin, Wang, Zhongtang, Huang, Wei, Wang, Ruozheng, Li, Baosheng

المصدر: International Journal of Surgery ; ISSN 1743-9159

الإتاحة: https://doi.org/10.1097/js9.0000000000001242Test

المؤلفون: Liu, Li, Chen, Da, Shu, Minglei, Li, Baosheng, Shu, Huazhong, Paques, Michel, Cohen, Laurent D.

مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

الوصول الحر: http://arxiv.org/abs/2003.03710Test

المؤلفون: XU Tingting, HU Chaosu, LI Baosheng

المصدر: Zhongguo aizheng zazhi, Vol 33, Iss 1, Pp 81-94 (2023)

مصطلحات موضوعية: anti-egfr monoclonal antibody, locally advanced, squamous cell carcinoma of the head and neck, clinical consensus, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

وصف الملف: electronic resource

العلاقة: http://www.china-oncology.com/fileup/1007-3639/PDF/1676258300288-1817453369.pdfTest; https://doaj.org/toc/1007-3639Test

الوصول الحر: https://doaj.org/article/b3e43e9a7d01460981fd18b771b6d5c6Test

المؤلفون: Hu, Qingyang, Li, Baosheng, Gao, Xiang, Bi, Yan, Su, Lei, Mao, Ho-kwang

المصدر: Proceedings of the National Academy of Sciences of the United States of America, 2021 Dec . 118(51), 1-6.

الوصول الحر: https://www.jstor.org/stable/27117527Test

المؤلفون: Wu, Qianyu, Ji, Xu, Gu, Yunbo, Xiang, Jun, Quan, Guotao, Li, Baosheng, Zhu, Jian, Coatrieux, Gouenou, Coatrieux, Jean-Louis, Chen, Yang

المساهمون: Nanjing University of Science and Technology (NJUST), Southeast University Jiangsu, Nanjing Southeast University (SEU), Shanghai United Imaging Healthcare Co Ltd, Laboratoire de Traitement de l'Information Medicale (LaTIM), Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), Département lmage et Traitement Information (IMT Atlantique - ITI), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche en Information Biomédicale sino-français (CRIBS), Université de Rennes (UR)-Southeast University Jiangsu -Institut National de la Santé et de la Recherche Médicale (INSERM), the Key Research and development Programs in Jiangsu Province of China (Grant Number: BE2021703 and BE2022768)10.13039/501100001809-National Natural Science Foundation of China (Grant Number: T2225025)National Key Research and Development Program of China (Grant Number: 2022YFE0116700)the State Key Project of Research and Development Plan (Grant Number: 2022YFC2401600)

المصدر: ISSN: 0278-0062 ; IEEE Transactions on Medical Imaging ; https://univ-rennes.hal.science/hal-04241272Test ; IEEE Transactions on Medical Imaging, 2023, 42 (11), pp.1-1. ⟨10.1109/TMI.2023.3280217⟩.

مصطلحات موضوعية: Computed tomography, Image reconstruction, Training, Deep learning, Self-supervised learning, X-ray imaging, Supervised learning, [SDV.IB]Life Sciences [q-bio]/Bioengineering

العلاقة: hal-04241272; https://univ-rennes.hal.science/hal-04241272Test; https://univ-rennes.hal.science/hal-04241272/documentTest; https://univ-rennes.hal.science/hal-04241272/file/Wu%20et%20al-2023-Unsharp%20Structure%20Guided%20Filtering%20for%20Self-Supervised%20Low-dose%20CT%20Imaging.pdfTest

الإتاحة: https://doi.org/10.1109/TMI.2023.3280217Test
https://univ-rennes.hal.science/hal-04241272Test
https://univ-rennes.hal.science/hal-04241272/documentTest
https://univ-rennes.hal.science/hal-04241272/file/Wu%20et%20al-2023-Unsharp%20Structure%20Guided%20Filtering%20for%20Self-Supervised%20Low-dose%20CT%20Imaging.pdfTest

المؤلفون: Li, Yang, Li, Zhenjiang, Zhu, Jian, Li, Baosheng, Shu, Huazhong, Ge, Di

المساهمون: Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Nanjing Southeast University (SEU), Centre de Recherche en Information Biomédicale sino-français (CRIBS), Université de Rennes (UR)-Southeast University Jiangsu -Institut National de la Santé et de la Recherche Médicale (INSERM), PHC XU GUANGQI, (45637SM), Special Fund for Guiding Local Science and Technology Development in Shandong Province, (YDZX2022010), Key Technology Research and Development Program of Shandong Province, (2021LCZX04), Natural Science Foundation of Shandong Province, (ZR2022ZD31), Shandong First Medical University, SFMU, (2019LJ004)

المصدر: ISSN: 1748-717X ; Radiation Oncology ; https://hal.science/hal-04225843Test ; Radiation Oncology, 2023, 18 (1), pp.149. ⟨10.1186/s13014-023-02341-1⟩.

مصطلحات موضوعية: Adaptive linear regression, Gating signals, Patient-specific, Respiratory-motion prediction, [SDV.IB]Life Sciences [q-bio]/Bioengineering

العلاقة: info:eu-repo/semantics/altIdentifier/pmid/37697360; hal-04225843; https://hal.science/hal-04225843Test; https://hal.science/hal-04225843/documentTest; https://hal.science/hal-04225843/file/s13014-023-02341-1Test; PUBMED: 37697360

الإتاحة: https://doi.org/10.1186/s13014-023-02341-1Test
https://hal.science/hal-04225843Test
https://hal.science/hal-04225843/documentTest
https://hal.science/hal-04225843/file/s13014-023-02341-1Test

المؤلفون: Liu, Cong, Shi, Pengyue, Li, Zhenjiang, Li, Baosheng, Li, Zengjun

المصدر: Cancer Medicine ; volume 12, issue 16, page 16734-16743 ; ISSN 2045-7634 2045-7634

الإتاحة: https://doi.org/10.1002/cam4.6295Test

المؤلفون: Wang, Jun, Li, Baosheng

المصدر: Precision Radiation Oncology ; volume 7, issue 3, page 150-159 ; ISSN 2398-7324 2398-7324

الإتاحة: https://doi.org/10.1002/pro6.1201Test

المؤلفون: Zheng, Chunyan, Li, Zhe, Zhao, Chuanxi, Yin, Xiaoyang, Feng, Lei, Wang, Zhongtang, Liu, Chengxin, Li, Baosheng

المصدر: Cell Death & Disease ; volume 14, issue 12 ; ISSN 2041-4889

مصطلحات موضوعية: Cancer Research, Cell Biology, Cellular and Molecular Neuroscience, Immunology

الإتاحة: https://doi.org/10.1038/s41419-023-06321-xTest
https://www.nature.com/articles/s41419-023-06321-x.pdfTest
https://www.nature.com/articles/s41419-023-06321-xTest