3D Vessel Reconstruction from Sparse-View Dynamic DSA Images via Vessel Probability Guided Attenuation Learning

1 code implementation • 17 May 2024 • Zhentao Liu, Huangxuan Zhao, Wenhui Qin, Zhenghong Zhou, Xinggang Wang, Wenping Wang, Xiaochun Lai, Chuansheng Zheng, Dinggang Shen, Zhiming Cui

With the help of contrast agent, time-resolved 2D DSA images deliver comprehensive insights into blood flow information and can be utilized to reconstruct 3D vessel structures.

TOGS: Gaussian Splatting with Temporal Opacity Offset for Real-Time 4D DSA Rendering

no code implementations • 28 Mar 2024 • Shuai Zhang, Huangxuan Zhao, Zhenghong Zhou, Guanjun Wu, Chuansheng Zheng, Xinggang Wang, Wenyu Liu

To overcome these limitations, we propose TOGS, a Gaussian splatting method with opacity offset over time, which can effectively improve the rendering quality and speed of 4D DSA.

ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation

1 code implementation • 9 Sep 2023 • Xian lin, Zengqiang Yan, Xianbo Deng, Chuansheng Zheng, Li Yu

Following CSA, 2D convolution is utilized for feature refinement through CFFN.

Image Segmentation Medical Image Segmentation +1

TiAVox: Time-aware Attenuation Voxels for Sparse-view 4D DSA Reconstruction

no code implementations • 5 Sep 2023 • Zhenghong Zhou, Huangxuan Zhao, Jiemin Fang, Dongqiao Xiang, Lei Chen, Lingxia Wu, Feihong Wu, Wenyu Liu, Chuansheng Zheng, Xinggang Wang

Additionally, 2D and 3D DSA imaging results can be generated from the reconstructed 4D DSA images.

3D Reconstruction Novel View Synthesis

Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label

1 code implementation • medRxiv 2020 • Chuansheng Zheng, Xianbo Deng, Qing Fu, Qiang Zhou, Jiapei Feng, Hui Ma, Wenyu Liu, Xinggang Wang

Our weakly-supervised deep learning model can accurately predict the COVID-19 infectious probability in chest CT volumes without the need for annotating the lesions for training.

COVID-19 Diagnosis Specificity