Endo4DGSLAM: Multi-level deformable modeling with redundancy reduction for endoscopic non-rigid SLAM [0.03%]
基于多级冗余削减的刚柔耦合内窥柔性SLAM算法-Endo4DGSLAM
Rongqi Wang,Jingang Zhang,Zhiliang Yan et al.
Rongqi Wang et al.
Medical endoscopic SLAM enables real-time pose estimation and 3D mapping inside the human body, holding significant value for surgical navigation. Although emerging 3DGS improves SLAM through fast, high-quality rendering, mainstream methods...
SFLFEM: A frequency-enhanced mamba framework for selective personalized federated breast ultrasound diagnosis [0.03%]
SFLFEM：一种频率增强的玛姆巴框架，用于选择性个性化联合乳腺超声诊断
Xu He,Xiaohu Xu,Funan Xiao et al.
Xu He et al.
Breast ultrasound is essential for lesion assessment and early cancer screening. However, deploying robust deep learning models in clinical practice faces two primary challenges. The first is intrinsic: lesions often exhibit complex texture...
MambaX-Net: Dual-input Mamba-enhanced Cross-Attention network for longitudinal prostate MRI segmentation [0.03%]
MambaX-Net：双输入Mamba增强的纵向前列腺MRI分割交叉注意力网络
Yovin Yahathugoda,Davide Prezzi,Patricia A Gutierrez et al.
Yovin Yahathugoda et al.
Active Surveillance (AS) is a treatment option for managing low and intermediate-risk prostate cancer (PCa), aiming to avoid overtreatment while monitoring disease progression through serial MRI and clinical follow-up. Accurate prostate seg...
ENCORE: Fast geometric framework for aligning brain structural connectivity on cortical manifolds [0.03%]
基于大脑皮层流形的快速几何结构连接对齐框架
Martin R Cole,Yang Xiang,William Consagra et al.
Martin R Cole et al.
Brain networks are typically represented by adjacency matrices, where each node corresponds to a brain region. In traditional brain network analysis, nodes are assumed to be matched across individuals, but the methods used for node matching...
Self-supervised small vessel segmentation with shape-aware geometric models and attention [0.03%]
具有形状感知几何模型和注意机制的自我监督的小血管分割方法
Zhiwei Deng,Songnan Xu,Jianwei Zhang et al.
Zhiwei Deng et al.
Small vessels play a critical role in the development of various brain diseases. Significant advances have been made in high-resolution vascular imaging, but it remains a challenge to precisely segment small vessels to quantitatively assess...
Coronary lipid detection by fusing OCT-derived near-infrared spectra and image morphology [0.03%]
融合OCT导出的近红外光谱和图像形态进行冠状动脉脂质检测
Jiehong Liu,Rende Xu,Qiyuan Yin et al.
Jiehong Liu et al.
Intravascular assessment of lipid burden and its spatial distribution is important for characterizing high-risk coronary plaques. Conventional near-infrared spectroscopy has shown clinical utility in identifying lipid-rich plaques, but it p...
KPIs 2024 challenge: Advancing glomerular segmentation from patch- to slide-level [0.03%]
2024年KPI挑战赛：从补丁级到幻灯片级的肾小球分割进展
Ruining Deng,Tianyuan Yao,Yucheng Tang et al.
Ruining Deng et al.
Chronic kidney disease (CKD) is a major global health issue, affecting over 10% of the population and causing significant mortality. While kidney biopsy remains the gold standard for CKD diagnosis and treatment, the lack of comprehensive be...
Data-driven registration and modeling of brain deformation for image-guided neurosurgery [0.03%]
基于数据的图像引导神经外科手术中脑变形配准与建模研究
Tiago Assis,Colin P Galvin,Joshua P Castillo et al.
Tiago Assis et al.
Accurate compensation of brain deformation is critical for reliable image-guided neurosurgery. Surgical manipulation and tumor resection induce tissue motion, causing preoperative planning images to become misaligned with the intraoperative...
Topology-constrained graph transformer network for structural and functional brain organization [0.03%]
拓扑约束图变换器网络在脑结构和功能组织中的应用
Jundan Ji,Mengjun Liu,Nanguang Chen et al.
Jundan Ji et al.
The human brain exhibits a complex and hierarchical organization that supports efficient information integration across local and global scales. Accurately characterizing such topological organization from neuroimaging data remains challeng...
UltraSoundNeRF: Sonographic neural reflection field for novel view synthesis [0.03%]
基于神经反射场的超声新型视角合成技术
Magdalena Wysocki,Mohammad Farid Azampour,Benjamin Busam et al.
Magdalena Wysocki et al.
Current state-of-the-art novel view synthesis methods generate natural scene images indistinguishable from real images. However, methods developed for ultrasound imaging often struggle with semantic accuracy, physical plausibility, or large...