Cyclic Self-Supervised Diffusion for Ultra Low-field to High-field MRI Synthesis [0.03%]
基于循环自监督扩散的极端低场至高场MRI合成方法
Zhenxuan Zhang,Peiyuan Jing,Zi Wang et al.
Zhenxuan Zhang et al.
Synthesizing high-quality images from low-field MRI holds significant potential. Low-field MRI is cheaper, more accessible, and safer, but suffers from low resolution and poor signal-to-noise ratio. This synthesis process can reduce relianc...
Pathology-Aligned Contrastive Representation Learning for Gleason Grading [0.03%]
基于病理学的对抗表示学习在GLEASON评分中的应用
Maoye Huang,Jing Zhong,Jiawei Wu et al.
Maoye Huang et al.
Gleason grading, the clinical gold standard for prostate cancer assessment, is based on subjective evaluation of glandular architecture, resulting in interobserver variability and limited scalability. This highlights the need for automated ...
M2Net: Multimodal Multitask Mutual Learning for Anti-VEGF Efficacy Prediction [0.03%]
用于抗VEGF疗效预测的多模态多任务互学习方法
Yang Wen,Ying Zeng,Lei Bi et al.
Yang Wen et al.
Age-related macular degeneration with abnormal blood vessel growth (neovascular AMD) is the leading cause of vision loss in elderly populations. While anti-VEGF injections are the standard treatment, they present financial burdens for patie...
Hierarchical Bayesian inference for community detection and connectivity of functional brain networks [0.03%]
功能脑网络的社区检测及连通性的分层贝叶斯推理方法研究
Lingbin Bian,Nizhuan Wang,Leonardo Novelli et al.
Lingbin Bian et al.
Most functional magnetic resonance imaging studies rely on estimates of hierarchically organized functional brain networks whose segregation and integration reflect the cognitive and behavioral changes in humans. However, most existing meth...
Fiber HGNN: Heterogeneous Graph Neural Network for Fiber Tract Segmentation [0.03%]
用于纤维束分割的异构图神经网络（HGNN）
Cheng Wang,Wuyang Li,Xinyu Liu et al.
Cheng Wang et al.
Fiber tract segmentation is crucial for clinical applications such as brain function interpretation and surgical planning. Existing methods typically adopt either a cortical-parcellation-based or fiber clustering approach, but fail to simul...
MorphiNet: A Graph Subdivision Network for Adaptive Bi-ventricle Surface Reconstruction [0.03%]
基于图剖分的自适应双心室表面重建网络 MorphiNet
Yu Deng,Yiyang Xu,Linglong Qian et al.
Yu Deng et al.
Cardiac Magnetic Resonance (CMR) imaging is widely used to personalize heart models for cardiac digital twin analysis because of its ability to visualize soft tissues and capture dynamic functions. However, CMR images have an anisotropic na...
Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment [0.03%]
心血管血动力学评估的可解释多模态学习方法研究
Prasun C Tripathi,Sina Tabakhi,Mohammod N I Suvon et al.
Prasun C Tripathi et al.
Pulmonary Arterial Wedge Pressure (PAWP) is an essential cardiovascular hemodynamics marker to detect heart failure. In clinical practice, Right Heart Catheterization is considered a gold standard for assessing cardiac hemodynamics while no...
StableMIL: Entropy-Stabilized Attention-based Multiple Instance Learning for Morphologically Variable Whole Slide Images [0.03%]
基于注意力的多重实例学习的稳定 MIL：用于形态多样的全滑移图像的熵稳定方法
Yinuo Lu,Mingxin Qi,Yao Fu et al.
Yinuo Lu et al.
Aggregating features of tens of thousands of patches into Whole Slide Images (WSIs) representations via aggregators is a crucial step in computational pathology. However, existing aggregation strategies overlook the morphological variabilit...
Changjie Lu,Sourya Sengupta,Hua Li et al.
Changjie Lu et al.
Objective, task-based measures of image quality (IQ) have been widely advocated for assessing and optimizing medical imaging technologies. Besides signal detection theory-based measures, information-theoretic quantities have been proposed t...
Cross-dimensional Spatial-temporal Feature Integration Framework for Lung Ultrasound Video Analysis in Pneumonia [0.03%]
一种跨维度时空特征融合框架用于肺炎肺超声视频分析
Yiwen Liu,Chao He,Dongni Hou et al.
Yiwen Liu et al.
Pneumonia is an acute respiratory infection, posing a serious threat to health and lives. Lung ultrasound (LUS), as a non-invasive and rapid imaging technique, can monitor real-time changes in lung, providing valuable assistance in clinical...