Yuheng Xu

An explicit suppression paradigm for cross-domain medical image segmentation

Yuheng Xu, Taiping Zhang, Yuqi Fang

cn (code pays fourni par la source)

Spatially Programmable Electroadhesive Enables In Situ Site‐Selective Functional Coupling

Yuting Guo, Zhuoming Liang, Guoshi Xu, Zhen Gu et autres

Precise intraoperative integration of bioelectronic devices with wet tissue surfaces remains a challenge due to the limited spatial control of adhesion sites. Here, an in situ spatially programmable electrical bioadhesive (termed "STICH") is reported that enables site-selective adhesion and functional coupling via …

sg, in, cn (code pays fourni par la source)

Aegis: A domain generalization framework for medical image segmentation by mitigating feature misalignment

Yuheng Xu, Taiping Zhang, Yuqi Fang

cn (code pays fourni par la source)

A Domain Generalization Framework Based on Wavelet-Driven Structural Enhancement and Contrastive Alignment

Yuheng Xu, Taiping Zhang, Yang Liu

Domain generalization trains models on source domain data to generalize effectively to unseen target domains. Existing methods rely on adversarial training or feature alignment for domain-invariant representation learning, often combined with data augmentation or self-supervised tasks to improve robustness. However, these approaches …

cn, gb (code pays fourni par la source)

A Structure and Semantic Aware Framework for Generalized Medical Image Segmentation via Frequency and Probabilistic Learning

Yuheng Xu, Tianyang Wang, Taiping Zhang

Domain generalization in medical image segmentation remains challenging due to domain shifts caused by varying imaging protocols and device heterogeneity in clinical datasets. Existing methods relying on global or random augmentations suffer from limited diversity or neglect distribution constraints, while overlooking critical …

cn (code pays fourni par la source)

AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning

Yuheng Xu, Shijie Yang, Xin Liu, Jie Liu et autres

In recent years, the increasing popularity of Hi-DPI screens has driven a rising demand for high-resolution images. However, the limited computational power of edge devices poses a challenge in deploying complex super-resolution neural networks, highlighting the need for efficient methods. While prior …

cn (code pays fourni par la source)

AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning

Yuheng Xu, Shijie Yang, Xin Liu, Jie Liu et autres

In recent years, the increasing popularity of Hi-DPI screens has driven a rising demand for high-resolution images. However, the limited computational power of edge devices poses a challenge in deploying complex super-resolution neural networks, highlighting the need for efficient methods. While prior …

From Deterministic to Probabilistic: A Novel Perspective on Domain Generalization for Medical Image Segmentation

Yuheng Xu, Taiping Zhang

Traditional domain generalization methods often rely on domain alignment to reduce inter-domain distribution differences and learn domain-invariant representations. However, domain shifts are inherently difficult to eliminate, which limits model generalization. To address this, we propose an innovative framework that enhances data representation …

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation

Yuheng Xu, Taiping Zhang

Domain-invariant representation learning is a powerful method for domain generalization. Previous approaches face challenges such as high computational demands, training instability, and limited effectiveness with high-dimensional data, potentially leading to the loss of valuable features. To address these issues, we hypothesize that …

Investigation on the holographic storage properties varied with ZrO2 co-doping in Ru:Fe:LiNbO3 crystals

Luping Wang, Li Dai, Chunrui Liu, Xianbo Han et autres

cn (code pays fourni par la source)

Defect structure and optical damage resistance of Mg:Ru:Fe:LiNbO3 crystals with various [Li]/[Nb] ratios

Li Dai, Luping Wang, Xianbo Han, Yu Shao et autres

cn (code pays fourni par la source)

Effect of Hf 4+ doping on structure and enhancement of upconversion luminescence in Yb:Tm:LiNbO 3 crystals

Li Dai, Chunrui Liu, Xianbo Han, Luping Wang et autres

A series of Yb:Tm:LiNbO 3 crystals doped with x mol% Hf 4+ ions ( x = 2, 4, and 6) were grown by the Czochralski method. The dopant occupancy and defect structure of Hf:Yb:Tm:LiNbO 3 crystals were investigated by x-ray diffraction and …

cn (code pays fourni par la source)