Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Liu, Feihong"'
Autor:
Kang, Yuxin, Li, Hansheng, Zhao, Xuan, Hu, Dongqing, Liu, Feihong, Cui, Lei, Feng, Jun, Yang, Lin
While achieving remarkable success for medical image segmentation, deep convolution neural networks (DCNNs) often fail to maintain their robustness when confronting test data with the novel distribution. To address such a drawback, the inductive bias
Externí odkaz:
http://arxiv.org/abs/2205.02845
Publikováno v:
In Finite Elements in Analysis & Design 1 November 2024 240
Recent studies on T1-assisted MRI reconstruction for under-sampled images of other modalities have demonstrated the potential of further accelerating MRI acquisition of other modalities. Most of the state-of-the-art approaches have achieved improveme
Externí odkaz:
http://arxiv.org/abs/2111.06400
Publikováno v:
In Cement and Concrete Research July 2024 181
Publikováno v:
In Developmental and Comparative Immunology May 2024 154
Autor:
Zhang, Dongdong, Liu, Han, Xue, Xiaodong, Liu, Feihong, Wu, Jun, Peng, Feng, Wang, Donghui, Pan, Haobo, Li, Mei
Publikováno v:
In Colloids and Surfaces B: Biointerfaces April 2024 236
Publikováno v:
In Computers & Graphics April 2024 119
Publikováno v:
In Chemical Engineering Journal 15 September 2023 472
Bilateral filtering (BF) is one of the most classical denoising filters, however, the manually initialized filtering kernel hampers its adaptivity across images with various characteristics. To deal with image variation (i.e., non-stationary noise),
Externí odkaz:
http://arxiv.org/abs/1908.06307
Parcellation of whole-brain tractography streamlines is an important step for tract-based analysis of brain white matter microstructure. Existing fiber parcellation approaches rely on accurate registration between an atlas and the tractograms of an i
Externí odkaz:
http://arxiv.org/abs/1906.03051