no code implementations • 28 Feb 2024 • Yan Zhang, Ming Jia, Jianyu Wang, XiangMin Hu, Zhihui Xu, Tao Chen
The best performance in a suitable environment was due to more effective activation in the prefrontal cortex (PFC).
no code implementations • 24 Feb 2024 • Chen Zhao, Zhihui Xu, Pukar Baral, Michel Esposito, Weihua Zhou
However, deep learning-based methods encounter challenges in generating semantic labels for arterial segments, primarily due to the morphological similarity between arterial branches.
no code implementations • 10 Feb 2024 • Shaojie Tang, Penpen Miao, Xingyu Gao, Yu Zhong, Dantong Zhu, Haixing Wen, Zhihui Xu, Qiuyue Wei, Hongping Yao, Xin Huang, Rui Gao, Chen Zhao, Weihua Zhou
Fourthly, we employed ICP, SICP or CPD algorithm to achieve a fine registration for the point clouds (together with the special points of APIGs) of the LV epicardial surfaces (LVERs) in SPECT and CTA images.
no code implementations • 20 Aug 2023 • Chen Zhao, Michele Esposito, Zhihui Xu, Weihua Zhou
Coronary artery disease (CAD) is one of the primary causes leading to death worldwide.
no code implementations • 21 May 2023 • Chen Zhao, Zhihui Xu, Guang-Uei Hung, Weihua Zhou
The presence of atherosclerotic lesions in coronary arteries is the underlying pathophysiological basis of CAD, and accurate extraction of individual arterial branches using invasive coronary angiography (ICA) is crucial for stenosis detection and CAD diagnosis.
no code implementations • 11 Jan 2023 • Chen Zhao, Zhihui Xu, Jingfeng Jiang, Michele Esposito, Drew Pienta, Guang-Uei Hung, Weihua Zhou
Semantic labeling of coronary arterial segments in invasive coronary angiography (ICA) is important for automated assessment and report generation of coronary artery stenosis in the computer-aided diagnosis of coronary artery disease (CAD).
no code implementations • 24 Jun 2022 • Yinghui Meng, Zhenglong Du, Chen Zhao, Minghao Dong, Drew Pienta, Zhihui Xu, Weihua Zhou
A deep learning model U-Net 3+, which incorporates the full-scale skip connections and deep supervisions, was proposed for automatic extraction of coronary arteries from ICAs.
no code implementations • 6 Oct 2021 • Yinghui Meng, Minghao Dong, Xumin Dai, Haipeng Tang, Chen Zhao, Jingfeng Jiang, Shun Xu, Ying Zhou, Fubao Zhu1, Zhihui Xu, Weihua Zhou
More specifically, a detection algorithm is first used to detect the key points of coronary arteries, and then an optical flow method is employed to track the trajectories of the selected key points.