Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion

no code implementations • 16 Apr 2023 • Xin Wang, Zhenrong Shen, Zhiyun Song, Sheng Wang, Mengjun Liu, Lichi Zhang, Kai Xuan, Qian Wang

Magnetic resonance (MR) images collected in 2D scanning protocols typically have large inter-slice spacing, resulting in high in-plane resolution but reduced through-plane resolution.

Super-Resolution

Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey

no code implementations • 19 Oct 2022 • Hui Cao, Wenlong Zou, Yinkun Wang, Ting Song, Mengjun Liu

Deep learning security matters to autonomous driving system security, and then matters to personal safety, which is an issue that deserves attention and research. This paper provides an summary of the concepts, developments and recent research in deep learning security technologies in autonomous driving.

Autonomous Driving

Spatial Attention-based Implicit Neural Representation for Arbitrary Reduction of MRI Slice Spacing

no code implementations • 23 May 2022 • Xin Wang, Sheng Wang, Honglin Xiong, Kai Xuan, Zixu Zhuang, Mengjun Liu, Zhenrong Shen, Xiangyu Zhao, Lichi Zhang, Qian Wang

Magnetic resonance (MR) images collected in 2D clinical protocols typically have large inter-slice spacing, resulting in high in-plane resolution and reduced through-plane resolution.

Computational Efficiency Super-Resolution