Search Results for author: Xiaokun Liang

Found 12 papers, 5 papers with code

Three-Dimensional Medical Image Fusion with Deformable Cross-Attention

no code implementations10 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.


Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains

1 code implementation31 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.

Computed Tomography (CT) Metal Artifact Reduction

INR-LDDMM: Fluid-based Medical Image Registration Integrating Implicit Neural Representation and Large Deformation Diffeomorphic Metric Mapping

no code implementations18 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.

Image Registration Management +1

Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image Denoising

1 code implementation25 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.

Computed Tomography (CT) Image Denoising

TransCT: Dual-path Transformer for Low Dose Computed Tomography

1 code implementation28 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.

Elastic Net based Feature Ranking and Selection

no code implementations30 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.

Feature Importance feature selection

CT Super Resolution via Zero Shot Learning

no code implementations16 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).

Computed Tomography (CT) Super-Resolution +1

Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations

no code implementations23 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.


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