Triplet longitudinal masked autoencoder for predicting individualized functional connectome development during infancy [0.03%]
用于预测婴儿期个性化功能连接组发育的三元纵向掩码自动编码器
Weiran Xia,Xin Zhang,Dan Hu et al.
Weiran Xia et al.
Brain functional connectivity (FC) constructed from resting-state functional MRI (rs-fMRI) is the predominant method for studying brain functional organization of infants. Predicting the full dynamic developmental trajectory of infant FC fr...
Iterative learning for joint image denoising and motion artifact correction of 3D brain MRI [0.03%]
用于3D脑MRI图像去噪和运动伪影校正的迭代学习方法研究
Lintao Zhang,Mengqi Wu,Lihong Wang et al.
Lintao Zhang et al.
Image noise and motion artifacts greatly affect the quality of brain magnetic resonance imaging (MRI) and negatively influence downstream medical image analysis. Previous studies often focus on 2D methods that process each volumetric MR ima...
Prompt guiding multi-scale adaptive sparse representation-driven network for low-dose CT MAR [0.03%]
用于低剂量CT材料分解的提示引导多尺度自适应稀疏表示驱动网络
Baoshun Shi,Bing Chen,Shaolei Zhang et al.
Baoshun Shi et al.
Low-dose CT (LDCT) is capable of reducing X-ray radiation exposure, but it will potentially degrade image quality, even yields metal artifacts at the case of metallic implants. For simultaneous LDCT reconstruction and metal artifact reducti...
Dynamical multi-order responses and global semantic-infused adversarial learning: A robust airway segmentation method [0.03%]
动态多阶响应和全局语义对抗学习：一种鲁棒的气道分割方法
Sheng Zhang,Yang Nan,Yingying Fang et al.
Sheng Zhang et al.
Automated airway segmentation in computerized tomography (CT) images is crucial for the accurate diagnosis of lung diseases. However, the scarcity of manual annotations hinders the efficacy of supervised learning, while unconstrained intens...
HALO: High-frequency enhanced dose-aware diffusion model for arbitrary low-dose PET reconstruction [0.03%]
基于高频增强剂量感知扩散模型的任意低剂量PET重建方法
Zixin Tang,Caiwen Jiang,Kaicong Sun et al.
Zixin Tang et al.
Reconstructing standard-dose PET images from low-dose scans offers a promising approach to mitigating associated radiation risks in PET imaging. In clinical practice, the injected dose level is influenced by various factors such as scanner ...
Zihui Zhao,Yanxin Wang,Suqing Tian et al.
Zihui Zhao et al.
Computed tomography (CT) is one of the most widely used imaging modalities in clinical practice. While profound for disease diagnosis, the extensive use of CT has contributed to the major part of population-based radiation dose, raising pub...
From model based to learned regularization in medical image registration: A comprehensive review [0.03%]
基于医学图像配准的正则化方法：从模型到学习的综述式回顾研究论文题目
Anna Reithmeir,Veronika Spieker,Vasiliki Sideri-Lampretsa et al.
Anna Reithmeir et al.
Image registration is fundamental in medical imaging applications, such as disease progression analysis or radiation therapy planning. The primary objective of image registration is to precisely capture the deformation between two or more i...
Corrigendum to "A novel multi-attention, multi-scale 3D deep network for coronary artery segmentation" [Medical Image Analysis 85 (2023) 102745] [0.03%]
关于“一种新颖的多注意、多尺度3D深度网络用于冠状动脉分割”的勘误说明[医学图像分析第85卷(2023)102745号论文]
Caixia Dong,Songhua Xu,Duwei Dai et al.
Caixia Dong et al.
Published Erratum
Medical image analysis. 2025 Nov 14:103864. DOI:10.1016/j.media.2025.103864 2025
Deep learning based label-free virtual staining and classification of human tissues using digital slide scanner [0.03%]
基于深度学习的无标签虚拟染色和数字切片扫描仪的人体组织分类方法
Santanu Misra,Sei Na,Kyoungsook Park et al.
Santanu Misra et al.
Hematoxylin and eosin (H&E) staining has long been a cornerstone of histopathology, typically applied to formalin-fixed, paraffin-embedded (FFPE) tissue sections to ensure stable and consistent sample preparation. However, the chemical stai...
Free-breathing dynamic MRI reconstruction via joint time-dependent coil sensitivity estimation using implicit neural representation [0.03%]
基于隐式神经表示的时变线圈灵敏度联合估计的自由呼吸动态MRI重建
Xin Shen,Jie Feng,Zhenghao Li et al.
Xin Shen et al.
Dynamic magnetic resonance imaging (MRI) often encounters a trade-off between spatial and temporal resolutions due to slow data acquisition, particularly in free-breathing MRI scans where unpredictable motion complicates imaging. Accelerate...