Search Results for author: Changchun Yang

Found 9 papers, 4 papers with code

Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy

1 code implementation11 Apr 2024 Yuetan Chu, Gongning Luo, Longxi Zhou, Shaodong Cao, Guolin Ma, Xianglin Meng, Juexiao Zhou, Changchun Yang, Dexuan Xie, Ricardo Henao, Xigang Xiao, Lianming Wu, Zhaowen Qiu, Xin Gao

Here we propose a High-abundant Pulmonary Artery-vein Segmentation (HiPaS) framework achieving accurate artery-vein segmentation on both non-contrast CT and CTPA across various spatial resolutions.

Anatomy Segmentation +1

Efficient Bayesian Uncertainty Estimation for nnU-Net

no code implementations12 Dec 2022 Yidong Zhao, Changchun Yang, Artur Schweidtmann, Qian Tao

Different from previous baseline methods such as Monte Carlo Dropout and mean-field Bayesian Neural Networks, our proposed method does not require a variational architecture and keeps the original nnU-Net architecture intact, thereby preserving its excellent performance and ease of use.

Image Segmentation Medical Image Segmentation +2

AS-Net: Fast Photoacoustic Reconstruction with Multi-feature Fusion from Sparse Data

1 code implementation22 Jan 2021 Mengjie Guo, Hengrong Lan, Changchun Yang, Fei Gao

In this paper, we firstly propose to employ a novel signal processing method to make sparse PA raw data more suitable for the neural network, concurrently speeding up image reconstruction.

Image Reconstruction

Superposed Wave (s-Wave): Accelerating Photoacoustic Simulation

no code implementations24 Dec 2020 Jiadong Zhang, Tengbo Lyu, Changchun Yang, Yimeng Yang, Shanshan Guo, Feng Gao, Fei Gao

However, it is still in a developing stage, and a lot of experiments have to be performed in a simulation setting.

Medical Physics

A Jointed Feature Fusion Framework for Photoacoustic Reconstruction

no code implementations4 Dec 2020 Hengrong Lan, Changchun Yang, Fei Gao

The cross-domain features from limited-view position-wise data and the reconstructed image are fused by a backtracked supervision.

Image Reconstruction Position

Deep Learning Enables Robust and Precise Light Focusing on Treatment Needs

no code implementations16 Aug 2020 Changchun Yang, Hengrong Lan, Fei Gao

If light passes through the body tissues, focusing only on areas where treatment needs, such as tumors, will revolutionize many biomedical imaging and therapy technologies.

Deep learning for photoacoustic imaging: a survey

1 code implementation10 Aug 2020 Changchun Yang, Hengrong Lan, Feng Gao, Fei Gao

In this review, we performed an overview of some new developments and challenges in the application of machine learning to medical image analysis, with a special focus on deep learning in photoacoustic imaging.

BIG-bench Machine Learning Image Reconstruction +1

Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo

1 code implementation2 Aug 2019 Hengrong Lan, Daohuai Jiang, Changchun Yang, Fei Gao

Photoacoustic imaging (PAI) is an emerging non-invasive imaging modality combining the advantages of deep ultrasound penetration and high optical contrast.

Decoder Image Reconstruction

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