Zobrazeno 1 - 10
of 808
pro vyhledávání: '"SUN Yipeng"'
Publikováno v:
发电技术, Vol 45, Iss 2, Pp 233-239 (2024)
To seek applicable dry-wet conversion mode in deep peaking condition, two different dry-wet conversion strategies were performed on two supercritical thermal power units to study the dry-wet conversion under coordinated control mode and its impact on
Externí odkaz:
https://doaj.org/article/cd4bd02b4d294f19921df7e115672f7b
Autor:
Sun Yipeng
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
As China’s position in the international arena continues to rise, and its interaction with the rest of the world increases, Chinese language international education has received widespread attention and developed rapidly. Based on information fusio
Externí odkaz:
https://doaj.org/article/cb3fe2973505478c8b654122775d86aa
Autor:
Ye, Chengze, Schneider, Linda-Sophie, Sun, Yipeng, Thies, Mareike, Mei, Siyuan, Maier, Andreas
This paper introduces a novel method for reconstructing cone beam computed tomography (CBCT) images for arbitrary orbits using a differentiable shift-variant filtered backprojection (FBP) neural network. Traditional CBCT reconstruction methods for ar
Externí odkaz:
http://arxiv.org/abs/2410.14900
Autor:
Mei, Siyuan, Fan, Fuxin, Thies, Mareike, Gu, Mingxuan, Wagner, Fabian, Aust, Oliver, Erceg, Ina, Mirzaei, Zeynab, Neag, Georgiana, Sun, Yipeng, Huang, Yixing, Maier, Andreas
Recently, X-ray microscopy (XRM) and light-sheet fluorescence microscopy (LSFM) have emerged as two pivotal imaging tools in preclinical research on bone remodeling diseases, offering micrometer-level resolution. Integrating these complementary modal
Externí odkaz:
http://arxiv.org/abs/2404.14807
Autor:
Mei, Siyuan, Fan, Fuxin, Wagner, Fabian, Thies, Mareike, Gu, Mingxuan, Sun, Yipeng, Maier, Andreas
Deep learning-based medical image processing algorithms require representative data during development. In particular, surgical data might be difficult to obtain, and high-quality public datasets are limited. To overcome this limitation and augment d
Externí odkaz:
http://arxiv.org/abs/2404.03541
Autor:
Sun, Yipeng, Huang, Yixing, Schneider, Linda-Sophie, Thies, Mareike, Gu, Mingxuan, Mei, Siyuan, Bayer, Siming, Maier, Andreas
Computed Tomography (CT) image reconstruction is crucial for accurate diagnosis and deep learning approaches have demonstrated significant potential in improving reconstruction quality. However, the choice of loss function profoundly affects the reco
Externí odkaz:
http://arxiv.org/abs/2403.10695
This study presents a novel approach for reconstructing cone beam computed tomography (CBCT) for specific orbits using known operator learning. Unlike traditional methods, this technique employs a filtered backprojection type (FBP-type) algorithm, wh
Externí odkaz:
http://arxiv.org/abs/2403.00426
Autor:
Sun, Yipeng, Schneider, Linda-Sophie, Fan, Fuxin, Thies, Mareike, Gu, Mingxuan, Mei, Siyuan, Zhou, Yuzhong, Bayer, Siming, Maier, Andreas
In this study, we introduce a Fourier series-based trainable filter for computed tomography (CT) reconstruction within the filtered backprojection (FBP) framework. This method overcomes the limitation in noise reduction by optimizing Fourier series c
Externí odkaz:
http://arxiv.org/abs/2401.16039
Autor:
Cheng, Mengjun, Sun, Yipeng, Wang, Longchao, Zhu, Xiongwei, Yao, Kun, Chen, Jie, Song, Guoli, Han, Junyu, Liu, Jingtuo, Ding, Errui, Wang, Jingdong
Visual appearance is considered to be the most important cue to understand images for cross-modal retrieval, while sometimes the scene text appearing in images can provide valuable information to understand the visual semantics. Most of existing cros
Externí odkaz:
http://arxiv.org/abs/2203.16778
Autor:
Sun, Yipeng, Kist, Andreas M
Computing at the edge is important in remote settings, however, conventional hardware is not optimized for utilizing deep neural networks. The Google Edge TPU is an emerging hardware accelerator that is cost, power and speed efficient, and is availab
Externí odkaz:
http://arxiv.org/abs/2108.13732