Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Chen, Jianpin"'
Publikováno v:
ProQuest Full Text.
Thesis (Ph. D.)--Carleton University, 1997.
Also available in electronic format on the Internet.
Also available in electronic format on the Internet.
Externí odkaz:
http://proxy.library.carleton.ca/login?url=http://wwwlib.umi.com/cr/carleton/fullcit?pNQ22164
Autor:
Chen, Jianping
This study examined the effects of chronic ethanol intake on the density, affinity, and allosteric modulation of rat brain GABAA receptor subtypes. In the presence of GABA, the apparent affinity for the benzodiazepine agonist flunitrazepam was increa
Externí odkaz:
https://digital.library.unt.edu/ark:/67531/metadc501231/
Autor:
Ye, Jin, Cheng, Junlong, Chen, Jianpin, Deng, Zhongying, Li, Tianbin, Wang, Haoyu, Su, Yanzhou, Huang, Ziyan, Chen, Jilong, Jiang, Lei, Sun, Hui, Zhu, Min, Zhang, Shaoting, He, Junjun, Qiao, Yu
Segment Anything Model (SAM) has achieved impressive results for natural image segmentation with input prompts such as points and bounding boxes. Its success largely owes to massive labeled training data. However, directly applying SAM to medical ima
Externí odkaz:
http://arxiv.org/abs/2311.11969
Autor:
Wang, Haoyu, Guo, Sizheng, Ye, Jin, Deng, Zhongying, Cheng, Junlong, Li, Tianbin, Chen, Jianpin, Su, Yanzhou, Huang, Ziyan, Shen, Yiqing, Fu, Bin, Zhang, Shaoting, He, Junjun, Qiao, Yu
Existing volumetric medical image segmentation models are typically task-specific, excelling at specific target but struggling to generalize across anatomical structures or modalities. This limitation restricts their broader clinical use. In this pap
Externí odkaz:
http://arxiv.org/abs/2310.15161
Autor:
Huang, Ziyan, Deng, Zhongying, Ye, Jin, Wang, Haoyu, Su, Yanzhou, Li, Tianbin, Sun, Hui, Cheng, Junlong, Chen, Jianpin, He, Junjun, Gu, Yun, Zhang, Shaoting, Gu, Lixu, Qiao, Yu
Although deep learning have revolutionized abdominal multi-organ segmentation, models often struggle with generalization due to training on small, specific datasets. With the recent emergence of large-scale datasets, some important questions arise: \
Externí odkaz:
http://arxiv.org/abs/2309.03906
Autor:
Cheng, Junlong, Ye, Jin, Deng, Zhongying, Chen, Jianpin, Li, Tianbin, Wang, Haoyu, Su, Yanzhou, Huang, Ziyan, Chen, Jilong, Jiang, Lei, Sun, Hui, He, Junjun, Zhang, Shaoting, Zhu, Min, Qiao, Yu
The Segment Anything Model (SAM) represents a state-of-the-art research advancement in natural image segmentation, achieving impressive results with input prompts such as points and bounding boxes. However, our evaluation and recent research indicate
Externí odkaz:
http://arxiv.org/abs/2308.16184
Autor:
Liang, Junling1 (AUTHOR), Chen, Jianpin1 (AUTHOR), Zhou, Meixuan1 (AUTHOR), Li, Heng1 (AUTHOR) liheng@sjtu.edu.cn, Xu, Yiheng1 (AUTHOR), Xu, Fei2 (AUTHOR), Yin, Liping2 (AUTHOR), Chai, Xinyu1,3 (AUTHOR) liheng@sjtu.edu.cn
Publikováno v:
Agronomy. May2024, Vol. 14 Issue 5, p1057. 12p.
Publikováno v:
In Neurocomputing 28 August 2022 501:359-369
Akademický článek
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Autor:
Sun, Pengcheng, Li, Heng, Lu, Zhuofan, Su, Xiaofan, Ma, Zengguang, Chen, Jianpin, Li, Liming, Zhou, Chuanqing, Chen, Yao, Chai, Xinyu
Publikováno v:
In Brain Stimulation July-August 2018 11(4):667-675