E2AD: Enhanced and explainable Alzheimer's disease detection framework via anatomy- and relation-aware cross-modal knowledge distillation [0.03%]
基于解剖和关系感知的跨模式知识蒸馏的增强型可解释阿尔茨海默病检测框架
Chenhui Wang,Sirong Piao,Zhihao Chen et al.
Chenhui Wang et al.
Alzheimer's disease (AD) is a progressive neurodegenerative disorder for which MRI and PET provide complementary structural and molecular information. Yet PET remains costly and often unavailable, motivating MRI-only diagnostic systems that...
Medical hierarchical image classification via dual-geometry image-text learning [0.03%]
基于双几何图像文本学习的医学影像层级分类
Lei Fan,Arcot Sowmya,Erik Meijering et al.
Lei Fan et al.
Hierarchical image classification is a fundamental challenge in medical image analysis, as tree-structured taxonomies inherently reflect biological and clinical relationships, spanning the general categorisation of disease entities and fine...
Angelo Henriques,Korab Hoxha,Daniel Zapp et al.
Angelo Henriques et al.
As surgical AI transitions from pixel-level detection to complex reasoning, Scene Graphs (SGs) offer the structured, relational representations necessary to decode dynamic surgical environments. This PRISMA-ScR-guided scoping review systema...
Future cardiovascular events prediction from invasive coronary angiography: A graph representation learning perspective [0.03%]
从冠状动脉造影的角度预测未来心血管事件：图神经网络表示学习方法
Xiaowu Sun,Theofilos Belmpas,Ortal Senouf et al.
Xiaowu Sun et al.
Improving risk stratification for coronary artery disease (CAD), the leading global cause of death, remains a daily challenge in clinical practice. This highlights the urgent need for innovative approaches to early prediction of future card...
Advancing federated semi-supervised medical image segmentation: A duo of interactive denoising pseudo-labels and convolutional contrastive learning [0.03%]
联邦半监督医学图像分割研究进展：一种互动伪标签去噪与卷积对比学习方法
Zhenghua Xu,Yujun Zhang,Bo Li et al.
Zhenghua Xu et al.
Many existing studies on federated learning (FL) for segmentation primarily assume that all client data are labeled. However, in reality, due to the high cost of hospital construction and the scarcity of expert annotators, many medical site...
Calibration-free 3D-2D surface registration for image guided intervention [0.03%]
无需校准的图像引导介入的三维二维表面配准方法
Wenyao Xia,Wes Hodges,Muhan Liu et al.
Wenyao Xia et al.
Accurate and robust three-dimensional 3D to two-dimensional 2D registration is crucial for augmented reality and image guidance in minimally invasive surgery. Conventional methods require precise camera calibration, which is challenging to ...
Mingen Zhang,Yuanyuan Gu,Meng Wang et al.
Mingen Zhang et al.
Acquiring pixel-level annotations for medical images is an extremely time-consuming and labor-intensive task, typically occupying the majority of the development cycle for medical image segmentation models. While existing semi-supervised me...
Diffusion-based generative fiber orientation restoration from severe signal loss in diffusion-weighted MRI [0.03%]
基于扩散的生成纤维取向恢复：从严重信号损失中恢复磁共振扩散加权图像中的纤维取向信息
Shuo Huang,Lujia Zhong,Yonggang Shi
Shuo Huang
Fiber Orientation Distributions (FODs) is a widely used model to represent diffusion MRI (dMRI) data. However, susceptibility-induced distortion can cause signal loss and corrupted reconstruction of FODs in multiple brain regions even after...
GiTNet: A graph-based trajectory-informed network for gaze-supervised medical image segmentation [0.03%]
基于轨迹的凝视监督医学图像分割图形网络
Shaoxuan Wu,Xiao Zhang,Jingkun Chen et al.
Shaoxuan Wu et al.
Creating fully annotated labels for medical image segmentation is both time-consuming and costly, underscoring the need for efficient annotation schemes to alleviate the workload. Eye tracking offers an economical solution that can be seaml...
FKDNuSeg: Flawless knowledge distillation for lightweight and fast nuclei instance segmentation and classification [0.03%]
完美的知识蒸馏：轻量级且快速的核实例分割和分类
Bingchao Zhao,Jingxin Luo,Jiatai Lin et al.
Bingchao Zhao et al.
Nuclei segmentation and classification is a fundamental task in the field of computational pathology. Existing approaches have demonstrated outstanding performance. However, they still suffer from the efficiency problem due to the extremely...