Search Results for author: Minghui Zhang

Found 15 papers, 7 papers with code

Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction

no code implementations25 Nov 2022 Bing Guan, Cailian Yang, Liu Zhang, Shanzhou Niu, Minghui Zhang, Yuhao Wang, Weiwen Wu, Qiegen Liu

When the number of projection view changes, the DL network should be retrained with updated sparse-view/full-view CT image pairs.

Computed Tomography (CT) Image Reconstruction

Differentiable Topology-Preserved Distance Transform for Pulmonary Airway Segmentation

no code implementations17 Sep 2022 Minghui Zhang, Guang-Zhong Yang, Yun Gu

Detailed pulmonary airway segmentation is a clinically important task for endobronchial intervention and treatment of peripheral lung cancer lesions.

One-shot Generative Prior in Hankel-k-space for Parallel Imaging Reconstruction

1 code implementation15 Aug 2022 Hong Peng, Chen Jiang, Jing Cheng, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu

At the prior learning stage, we first construct a large Hankel matrix from k-space data, then extract multiple structured k-space patches from the large Hankel matrix to capture the internal distribution among different patches.

WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction

1 code implementation8 May 2022 Zongjiang Tu, Die Liu, Xiaoqing Wang, Chen Jiang, Pengwen Zhu, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu

Deep learning based parallel imaging (PI) has made great progresses in recent years to accelerate magnetic resonance imaging (MRI).

Faithful learning with sure data for lung nodule diagnosis

no code implementations25 Feb 2022 Hanxiao Zhang, Liang Chen, Xiao Gu, Minghui Zhang, Yulei Qin, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang

In this study, we construct a sure dataset with pathologically-confirmed labels and propose a collaborative learning framework to facilitate sure nodule classification by integrating unsure data knowledge through nodule segmentation and malignancy score regression.

Classification Lung Nodule Classification +1

LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation

no code implementations13 Feb 2022 Yangqian Wu, Minghui Zhang, Weihao Yu, Hao Zheng, Jiasheng Xu, Yun Gu

Methods: In this paper, a long-term slice propagation (LTSP) method is proposed for accurate airway segmentation from pathological CT scans.

Computed Tomography (CT)

BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding

no code implementations29 Jan 2022 Weihao Yu, Hao Zheng, Minghui Zhang, Hanxiao Zhang, Jiayuan Sun, Jie Yang

Since the volume of the peripheral bronchi may be much smaller than the large branches in an input patch, the common segmentation loss is not sensitive to the breakages among the distal branches.

Universal Generative Modeling for Calibration-free Parallel Mr Imaging

1 code implementation25 Jan 2022 Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu

The integration of compressed sensing and parallel imaging (CS-PI) provides a robust mechanism for accelerating MRI acquisitions.

Virtual Coil Augmentation Technology for MR Coil Extrapolation via Deep Learning

no code implementations19 Jan 2022 Cailian Yang, Xianghao Liao, Yuhao Wang, Minghui Zhang, Qiegen Liu

Two main components are incorporated into the network design, namely variable augmentation technology and sum of squares (SOS) objective function.

Image Reconstruction Super-Resolution

FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation

no code implementations7 Sep 2021 Minghui Zhang, Xin Yu, Hanxiao Zhang, Hao Zheng, Weihao Yu, Hong Pan, Xiangran Cai, Yun Gu

Compared to other state-of-the-art transfer learning methods, our method accurately segmented more bronchi in the noisy CT scans.

Transfer Learning

High-dimensional Assisted Generative Model for Color Image Restoration

1 code implementation14 Aug 2021 Kai Hong, CHUNHUA WU, Cailian Yang, Minghui Zhang, Yancheng Lu, Yuhao Wang, Qiegen Liu

This work presents an unsupervised deep learning scheme that exploiting high-dimensional assisted score-based generative model for color image restoration tasks.

Demosaicking Denoising

Joint Intensity-Gradient Guided Generative Modeling for Colorization

6 code implementations28 Dec 2020 Kai Hong, Jin Li, Wanyun Li, Cailian Yang, Minghui Zhang, Yuhao Wang, Qiegen Liu

Furthermore, the joint intensity-gradient constraint in data-fidelity term is proposed to limit the degree of freedom within generative model at the iterative colorization stage, and it is conducive to edge-preserving.


IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI

1 code implementation24 Sep 2019 Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shan-Shan Wang, Dong Liang

To improve the compressive sensing MRI (CS-MRI) approaches in terms of fine structure loss under high acceleration factors, we have proposed an iterative feature refinement model (IFR-CS), equipped with fixed transforms, to restore the meaningful structures and details.

Compressive Sensing Denoising

Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction

1 code implementation3 Sep 2019 Siyuan Wang, Junjie Lv, Yuanyuan Hu, Dong Liang, Minghui Zhang, Qiegen Liu

At the stage of prior learning, transformed feature images obtained by undecimated wavelet transform are stacked as an input of denoising autoencoder network (DAE).

Compressive Sensing Denoising +1

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