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pro vyhledávání: '"Yang, Liutao"'
Sparse views X-ray computed tomography has emerged as a contemporary technique to mitigate radiation dose. Because of the reduced number of projection views, traditional reconstruction methods can lead to severe artifacts. Recently, research studies
Externí odkaz:
http://arxiv.org/abs/2409.01571
Autor:
Yang, Liutao, Huang, Jiahao, Fang, Yingying, Aviles-Rivero, Angelica I, Schonlieb, Carola-Bibiane, Zhang, Daoqiang, Yang, Guang
Sparse-View Computed Tomography (SVCT) offers low-dose and fast imaging but suffers from severe artifacts. Optimizing the sampling strategy is an essential approach to improving the imaging quality of SVCT. However, current methods typically optimize
Externí odkaz:
http://arxiv.org/abs/2409.01544
Autor:
Huang, Jiahao, Yang, Liutao, Wang, Fanwen, Nan, Yang, Wu, Weiwen, Wang, Chengyan, Shi, Kuangyu, Aviles-Rivero, Angelica I., Schönlieb, Carola-Bibiane, Zhang, Daoqiang, Yang, Guang
Deep learning has been extensively applied in medical image reconstruction, where Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) represent the predominant paradigms, each possessing distinct advantages and inherent limitations: C
Externí odkaz:
http://arxiv.org/abs/2405.17659
Autor:
Huang, Jiahao, Yang, Liutao, Wang, Fanwen, Nan, Yang, Aviles-Rivero, Angelica I., Schönlieb, Carola-Bibiane, Zhang, Daoqiang, Yang, Guang
The recent Mamba model has shown remarkable adaptability for visual representation learning, including in medical imaging tasks. This study introduces MambaMIR, a Mamba-based model for medical image reconstruction, as well as its Generative Adversari
Externí odkaz:
http://arxiv.org/abs/2402.18451
Positive Unlabeled (PU) learning aims to learn a binary classifier from only positive and unlabeled data, which is utilized in many real-world scenarios. However, existing PU learning algorithms cannot deal with the real-world challenge in an open an
Externí odkaz:
http://arxiv.org/abs/2207.13274
Low-Dose Computed Tomography (LDCT) technique, which reduces the radiation harm to human bodies, is now attracting increasing interest in the medical imaging field. As the image quality is degraded by low dose radiation, LDCT exams require specialize
Externí odkaz:
http://arxiv.org/abs/2204.03163
Autor:
Huang, Jiahao, Yang, Liutao, Wang, Fanwen, Wu, Yinzhe, Nan, Yang, Wu, Weiwen, Wang, Chengyan, Shi, Kuangyu, Aviles-Rivero, Angelica I., Schönlieb, Carola-Bibiane, Zhang, Daoqiang, Yang, Guang
Publikováno v:
In Medical Image Analysis January 2025 99
Publikováno v:
In Dyes and Pigments February 2020 173
Akademický článek
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Autor:
Xie, Gaoyi, Ma, Chunping, Zhang, Xiqi, Liu, Hongliang, Guo, Xingxing, Yang, Liutao, Li, Yang, Wang, Ke, Wei, Yen
Publikováno v:
In Colloids and Surfaces B: Biointerfaces 1 September 2017 157:166-173