A hierarchical prompt and prototype learning framework for brain disorder classification [0.03%]
一种层次化提示和原型学习的脑疾病分类框架
Yuxiao Liu,Kaicong Sun,Yaping Wu et al.
Yuxiao Liu et al.
Accurate diagnosis of brain disorders (BDs) is challenging in clinical practice. Most existing deep learning-based methods perform diagnosis only in a one-step manner, ignoring the step-wise, multi-level diagnosis processes as performed by ...
M2OTCA: Multiple-magnification optimal transport-based cross-attention learning for whole slide image classification [0.03%]
基于多尺度最优传输的交叉注意力学习在全滑动数字病理图像分类中的应用
Zhonghang Zhu,Erik Meijering,Liansheng Wang
Zhonghang Zhu
Accurate and automated whole slide image (WSI) classification is important in early diagnosis of cancer, which is typically achieved using multiple instance learning (MIL). Existing MIL approaches for WSI classification still face practical...
Advancing radiograph representation learning via cascading graph alignment for vision-language clinical concepts [0.03%]
基于级联图对齐的放射影像表征学习以实现视觉-语言临床概念抽取任务
Xilin Dang,Kang Li,Pheng Ann Heng
Xilin Dang
Vision-language pre-training on paired radiology images and reports has shown great potential to promote downstream image tasks. However, its potential is far from fully unleashed when conducting implicit alignment for clinically significan...
Multimodal structure-guided diffusion model for Magnetic Particle Imaging reconstruction [0.03%]
基于多模态结构引导的扩散模型磁粒子成像重建方法
Gen Shi,Wenxuan Zou,Jie He et al.
Gen Shi et al.
Magnetic Particle Imaging (MPI) is a promising biomedical imaging modality renowned for its high sensitivity. However, MPI reconstruction poses a fundamental yet severely ill-posed inverse problem, where accurate quantitative reconstruction...
A review of deep learning-based Unsupervised Anomaly Detection in brain MRI [0.03%]
基于深度学习的脑MRI无监督异常检测方法综述
Finn Behrendt,Debayan Bhattacharya,Lennart Maack et al.
Finn Behrendt et al.
The manual assessment of brain Magnetic Resonance Imaging (MRI) scans can be labor-intensive and time-consuming for radiologists. Deep Learning methods have demonstrated the potential to aid this process. However, their effectiveness relies...
Geo-Mamba: Geometry-informed state-space learning of functional brain organization [0.03%]
Geo-Mamba：几何引导的心理空间学习脑功能组织
Yuwei Cao,Tingting Dan,Yang Yang et al.
Yuwei Cao et al.
Functional magnetic resonance imaging (fMRI) derived functional connectivity (FC) is represented as graphs and as correlation or covariance matrices that live on non-Euclidean spaces, cortical graphs and the Riemannian manifold of symmetric...
Read like a radiologist: Efficient vision-language model for 3D medical imaging interpretation [0.03%]
像放射科医生一样阅读：用于三维医学影像解读的高效视觉语言模型
Changsun Lee,Sangjoon Park,Cheong-Il Shin et al.
Changsun Lee et al.
Recent medical vision-language models (VLMs) have shown promise in 2D medical image interpretation. However extending them to 3D medical imaging has been challenging due to computational complexities and data scarcity. Although a few recent...
Corrigendum to "Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes" [Medical Image Analysis 103 (2025) 103580] [0.03%]
关于“基于扩散MRI的模拟推理不确定性映射和概率踪迹追踪与经典贝叶斯方法比较”的勘误表
Jose Pedro Manzano-Patron,Michael Deistler,Cornelius Schröder et al.
Jose Pedro Manzano-Patron et al.
Published Erratum
Medical image analysis. 2026 Apr 14:104071. DOI:10.1016/j.media.2026.104071 2026
SSMamba: A self-supervised hybrid state space model for pathological image classification [0.03%]
自监督混合状态空间模型的病理性图像分类(SSMamba)
Enhui Chai,Sicheng Chen,Tianyi Zhang et al.
Enhui Chai et al.
Pathological diagnosis is highly reliant on image analysis, where Regions of Interest (ROIs) serve as the primary basis for diagnostic evidence, while whole-slide image (WSI)-level tasks primarily capture aggregated patterns. To extract the...
Fine-grained and multi-pattern anti-nuclear antibody recognition: A new dataset and framework [0.03%]
细粒度和多模式抗核抗体识别：新的数据集和框架
Chunfang Ma,Yichen Yan,Zhe Ma et al.
Chunfang Ma et al.
Indirect immunofluorescence (IIF) staining imaging on human epithelial cell (HEp-2) is a standard technique for anti-nuclear antibodies (ANA) screening. The application of deep neural networks for automated IIF image processing has led to r...