Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Zheng, Haoxin"'
Recent studies demonstrate that diffusion models can serve as a strong prior for solving inverse problems. A prominent example is Diffusion Posterior Sampling (DPS), which approximates the posterior distribution of data given the measure using Tweedi
Externí odkaz:
http://arxiv.org/abs/2409.08551
Autor:
Hung, Alex Ling Yu, Zheng, Haoxin, Zhao, Kai, Pang, Kaifeng, Terzopoulos, Demetri, Sung, Kyunghyun
Current deep learning-based models typically analyze medical images in either 2D or 3D albeit disregarding volumetric information or suffering sub-optimal performance due to the anisotropic resolution of MR data. Furthermore, providing an accurate un
Externí odkaz:
http://arxiv.org/abs/2407.01146
Autor:
Hung, Alex Ling Yu, Zheng, Haoxin, Zhao, Kai, Du, Xiaoxi, Pang, Kaifeng, Miao, Qi, Raman, Steven S., Terzopoulos, Demetri, Sung, Kyunghyun
A large portion of volumetric medical data, especially magnetic resonance imaging (MRI) data, is anisotropic, as the through-plane resolution is typically much lower than the in-plane resolution. Both 3D and purely 2D deep learning-based segmentation
Externí odkaz:
http://arxiv.org/abs/2311.04942
Denoising diffusion probabilistic models (DDPMs) have achieved impressive performance on various image generation tasks, including image super-resolution. By learning to reverse the process of gradually diffusing the data distribution into Gaussian n
Externí odkaz:
http://arxiv.org/abs/2307.11926
3D reconstruction of medical imaging from 2D images has become an increasingly interesting topic with the development of deep learning models in recent years. Previous studies in 3D reconstruction from limited X-ray images mainly rely on learning fro
Externí odkaz:
http://arxiv.org/abs/2303.12123
Autor:
Hung, Alex Ling Yu, Zheng, Haoxin, Miao, Qi, Raman, Steven S., Terzopoulos, Demetri, Sung, Kyunghyun
Prostate cancer is the second leading cause of cancer death among men in the United States. The diagnosis of prostate MRI often relies on the accurate prostate zonal segmentation. However, state-of-the-art automatic segmentation methods often fail to
Externí odkaz:
http://arxiv.org/abs/2203.15163
Publikováno v:
In Cancer Epidemiology December 2024 93
Autor:
Miao, Qi, Wang, Xuechun, Cui, Jingjing, Zheng, Haoxin, Xie, Yan, Zhu, Kexin, Chai, Ruimei, Jiang, Yuanxi, Feng, Dongli, Zhang, Xin, Shi, Feng, Tan, Xiaodong, Fan, Guoguang, Liang, Keke
Publikováno v:
In Computers in Biology and Medicine March 2024 171
Autor:
Xiang, Huacui, Li, Zhijian, Zheng, Haoxin, Jiang, Xiaohong, Wu, Haiwei, Zhou, Hongwei, Liu, Hanbin
Publikováno v:
In Sensors and Actuators: B. Chemical 15 January 2024 399
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.