RT-SRTS: Angle-Agnostic Real-Time Simultaneous 3D Reconstruction and Tumor Segmentation from Single X-Ray Projection

1 code implementation • 12 Oct 2023 • Miao Zhu, Qiming Fu, Bo Liu, Mengxi Zhang, Bojian Li, Xiaoyan Luo, Fugen Zhou

In this study, a novel imaging method RT-SRTS is proposed which integrates 3D imaging and tumor segmentation into one network based on multi-task learning (MTL) and achieves real-time simultaneous 3D reconstruction and tumor segmentation from a single X-ray projection at any angle.

3D Reconstruction Multi-Task Learning +2

Spatial Temporal Graph Convolution with Graph Structure Self-learning for Early MCI Detection

no code implementations • 11 Nov 2022 • Yunpeng Zhao, Fugen Zhou, Bin Guo, Bo Liu

The proposed spatial temporal graph convolution block directly exploits BOLD time series as input features, which provides an interesting view for rsfMRI-based preclinical AD diagnosis.

Self-Learning Time Series +1

Transition-based Parsing with Context Enhancement and Future Reward Reranking

no code implementations • 15 Dec 2016 • Fugen Zhou, Fuxiang Wu, Zhengchen Zhang, Minghui Dong

This paper presents a novel reranking model, future reward reranking, to re-score the actions in a transition-based parser by using a global scorer.