Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Xing, Jiarui"'
This paper presents a novel approach, termed {\em Temporal Latent Residual Network (TLRN)}, to predict a sequence of deformation fields in time-series image registration. The challenge of registering time-series images often lies in the occurrence of
Externí odkaz:
http://arxiv.org/abs/2407.11219
Motion and deformation analysis of cardiac magnetic resonance (CMR) imaging videos is crucial for assessing myocardial strain of patients with abnormal heart functions. Recent advances in deep learning-based image registration algorithms have shown p
Externí odkaz:
http://arxiv.org/abs/2407.02229
This paper presents a multimodal deep learning framework that utilizes advanced image techniques to improve the performance of clinical analysis heavily dependent on routinely acquired standard images. More specifically, we develop a joint learning n
Externí odkaz:
http://arxiv.org/abs/2402.18507
This paper presents a novel predictive model, MetaMorph, for metamorphic registration of images with appearance changes (i.e., caused by brain tumors). In contrast to previous learning-based registration methods that have little or no control over ap
Externí odkaz:
http://arxiv.org/abs/2303.04849
Automated identification of myocardial scar from late gadolinium enhancement cardiac magnetic resonance images (LGE-CMR) is limited by image noise and artifacts such as those related to motion and partial volume effect. This paper presents a novel jo
Externí odkaz:
http://arxiv.org/abs/2211.06247
Autor:
Xing, Jiarui, Wang, Shuo, Bilchick, Kenneth C., Epstein, Frederick H., Patel, Amit R., Zhang, Miaomiao
The selection of an optimal pacing site, which is ideally scar-free and late activated, is critical to the response of cardiac resynchronization therapy (CRT). Despite the success of current approaches formulating the detection of such late mechanica
Externí odkaz:
http://arxiv.org/abs/2211.06238
Autor:
Li, Weihuan, Xiong, Chenchen, Zhou, Yang, Chen, Wentao, Zheng, Yangzezhi, Lin, Wei, Xing, Jiarui
Publikováno v:
In Cement and Concrete Research December 2024 186
Autor:
Chen, Wentao, Li, Yucheng, Zhou, Yang, Xu, Chongxi, Xiong, Chenchen, Deng, Jianying, Xing, Jiarui, Xiao, Shuai, Jin, Yanji
Publikováno v:
In Construction and Building Materials 21 June 2024 432
Autor:
Xing, Jiarui, Ghadimi, Sona, Abdishektaei, Mohammad, Bilchick, Kenneth C., Epstein, Frederick H., Zhang, Miaomiao
This paper presents a novel method to automatically identify late-activating regions of the left ventricle from cine Displacement Encoding with Stimulated Echo (DENSE) MR images. We develop a deep learning framework that identifies late mechanical ac
Externí odkaz:
http://arxiv.org/abs/2012.04000
Dimensionality reduction on Riemannian manifolds is challenging due to the complex nonlinear data structures. While probabilistic principal geodesic analysis~(PPGA) has been proposed to generalize conventional principal component analysis (PCA) onto
Externí odkaz:
http://arxiv.org/abs/1909.01412