Wessel L Van Nierop,Oisin Nolan,Tristan S W Stevens et al.
Wessel L Van Nierop et al.
Focused transmits are the most commonly used transmit strategy for echocardiograms, but suffer from relatively low frame rates, and in 3D, even lower volume rates. Fast imaging based on unfocused transmits has disadvantages such as motion d...
Beyond Foundation Models: Distilling Geometric Priors for Lightweight Monocular Depth Estimation in Endoscopy [0.03%]
超越基础模型：在内窥镜中用于轻量级单目深度估计的几何先验知识提炼
Kejin Zhu,Shuwei Shao,Yongming Yang et al.
Kejin Zhu et al.
In recent times, geometric foundation models have demonstrated remarkable performance in depth estimation tasks, benefiting from exposure to large-scale data that enables the learning of intricate geometric structures and spatial dependenci...
Leveraging Image-text Pairs for Generalized Category Discovery in Medical Image Classification [0.03%]
利用图像文本对进行医学图像分类中通用类别发现
Wei Feng,Bingjie Wang,Zhonghua Wang et al.
Wei Feng et al.
Generalized category discovery aims to identify known medical categories and unknown new medical categories from unlabeled data by migrating knowledge from labeled datasets containing only known categories, which is crucial for disease unde...
Thyro-LMD: A Benchmark Dataset and Sample-Driven Data Loading, Attention, and Regularization for Long-Tailed Multi-Label Thyroid Ultrasound Diagnosis [0.03%]
甲状腺结节长尾多标签诊断数据集与自适应采样方法
Jiansong Zhang,Shunlan Liu,Xiaoling Luo et al.
Jiansong Zhang et al.
Developing robust and effective computer-aided diagnostic (CAD) methods for thyroid ultrasound (TUS) remains a key challenge in medical imaging. Prior work has largely focused on binary or multi-class lesion classification, whereas real-wor...
Uncertainty-Aware Information Pursuit for Interpretable and Reliable Medical Image Analysis [0.03%]
面向医学影像分析的不确定性感知信息追求方法：解释性和可靠性的探索
Md Nahiduzzaman,Steven Korevaar,Zongyuan Ge et al.
Md Nahiduzzaman et al.
To be adopted in safety-critical domains like medical image analysis, AI systems must provide human-interpretable decisions. Variational Information Pursuit (VIP) offers an interpretable-by-design framework by sequentially querying input im...
Multi-view Hilbert Curve-based Hierarchical Information Aggregation for Incomplete Multimodal Alzheimer's Disease Diagnosis [0.03%]
基于希尔伯特曲线的多视图层次化信息聚合不完整多模态阿尔茨海默病诊断方法
Chengliang Liu,Yuanxi Que,Wai Keung Wong et al.
Chengliang Liu et al.
Timely identification of Alzheimer's disease (AD) benefits from combining neuroimaging, fluid biomarkers, and cognitive assessments, yet in practice one or more modalities are often unavailable due to various factors such as cost, patient c...
Binxu Li,Wei Peng,Mingjie Li et al.
Binxu Li et al.
3D brain MRI studies often examine subtle morphometric differences between cohorts that are hard to detect visually. Given the high cost of MRI acquisition, these studies could greatly benefit from image syntheses, particularly counterfactu...
Neural Optimization for Image Registration via Joint Modeling of Global Affine and Local Deformation Transformations [0.03%]
基于全局仿射和局部变形变换联合模型的图像配准神经优化方法
Xiang Chen,Renjiu Hu,Jiacheng Wang et al.
Xiang Chen et al.
Conventional registration approaches frequently underperform when applied to sparse feature alignment (e.g., retinal vessels and filamentous collagen fibers in second-harmonic generation (SHG) and bright-field (BF) images), as these tasks d...
DiffBulk: Enhancing Spatial Transcriptomic Prediction with Diffusion-Based Training [0.03%]
基于扩散训练增强空间转录组预测：DiffBulk方法
Bochong Zhang,Tianyi Zhang,Qiaochu Xue et al.
Bochong Zhang et al.
Spatial Transcriptomics (ST) technology detects gene expression from tissue biopsies, playing an emerging role in cancer diagnosis and precision medicine. However, the high cost of ST technology limits its broader application. Recently, dee...
Improved Nondestructive Ultrasound Molecular Imaging with Lightweight Convolutional Neural Network [0.03%]
改进的非破坏性超声分子成像与轻量级卷积神经网络
Jihye Baek,Dongwoon Hyun,Arutselvan Natarajan et al.
Jihye Baek et al.
Ultrasound molecular imaging (USMI) is an imaging approach that utilizes targeted microbubbles (MBs) to highlight biomarkers of disease. While differential targeted enhancement (DTE) is the current state-of-the-art for USMI, its reliance on...