no code implementations • 10 Oct 2023 • Lin Liu, Xinxin Fan, Chulong Zhang, Jingjing Dai, Yaoqin Xie, Xiaokun Liang
Furthermore, the prevailing methodologies are largely confined to fusing two-dimensional (2D) medical image slices, leading to a lack of contextual supervision in the fusion images and subsequently, a decreased information yield for physicians relative to three-dimensional (3D) images.
1 code implementation • 30 Sep 2023 • Lin Liu, Xinxin Fan, Haoyang Liu, Chulong Zhang, Weibin Kong, Jingjing Dai, Yuming Jiang, Yaoqin Xie, Xiaokun Liang
Rigid pre-registration involving local-global matching or other large deformation scenarios is crucial.
1 code implementation • 31 Aug 2023 • Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang
In this paper, we propose an unsupervised MAR method based on the diffusion model, a generative model with a high capacity to represent data distributions.
no code implementations • 18 Aug 2023 • Chulong Zhang, Xiaokun Liang
Moreover, we adopt a coarse-to-fine approach to address the challenge of deformable-based registration methods dropping into local optimal solutions, thus aiding the management of significant deformations in medical image registration.
no code implementations • 31 May 2023 • Chulong Zhang, Lin Liu, Jingjing Dai, Xuan Liu, Wenfeng He, Yinping Chan, Yaoqin Xie, Feng Chi, Xiaokun Liang
Computed tomography (CT) scans offer a detailed, three-dimensional representation of patients' internal organs.
1 code implementation • 25 May 2023 • Xuan Liu, Yaoqin Xie, Jun Cheng, Songhui Diao, Shan Tan, Xiaokun Liang
The results demonstrate that our method outperforms the state-of-the-art unsupervised method and surpasses several supervised deep learning-based methods.
no code implementations • 16 Aug 2022 • Chulong Zhang, Yuming Jiang, Na Li, Zhicheng Zhang, Md Tauhidul Islam, Jingjing Dai, Lin Liu, Wenfeng He, Wenjian Qin, Jing Xiong, Yaoqin Xie, Xiaokun Liang
Deformable image registration is a necessary technique for fusing multi-modal pathology slices.
1 code implementation • 28 Feb 2021 • Zhicheng Zhang, Lequan Yu, Xiaokun Liang, Wei Zhao, Lei Xing
Low dose computed tomography (LDCT) has attracted more and more attention in routine clinical diagnosis assessment, therapy planning, etc., which can reduce the dose of X-ray radiation to patients.
no code implementations • 30 Dec 2020 • Shaode Yu, Haobo Chen, Hang Yu, Zhicheng Zhang, Xiaokun Liang, Wenjian Qin, Yaoqin Xie, Ping Shi
After features are sorted according to their frequency, linear support vector machine performs the classification in an incremental manner.
no code implementations • 16 Dec 2020 • Zhicheng Zhang, Shaode Yu, Wenjian Qin, Xiaokun Liang, Yaoqin Xie, Guohua Cao
We incorporated the CT domain knowledge into the SADIR and unrolled it into a DL network (SADIR Net).
1 code implementation • 10 Mar 2020 • Shaode Yu, Zhicheng Zhang, Xiaokun Liang, Junjie Wu, Erlei Zhang, Wenjian Qin, Yaoqin Xie
Moreover, the toolbox is evaluated on a database of 163 ultrasound images.
no code implementations • 23 Nov 2019 • Charles Huang, Masoud Badiei, Hyunseok Seo, Ming Ma, Xiaokun Liang, Dante Capaldi, Michael Gensheimer, Lei Xing
Whereas supervised segmentation methods only automate the segmentation process for a select few number of OARs, we demonstrate that our methods can achieve similar performance for OARs of interest, while also providing segmentations for every other OAR on the provided atlas.