提出Panda无监督实时盆腔MR异常检测方法，无需标注数据即可高效筛查病变，为医学影像AI落地提供新思路。
arXiv:2607.24703v1 Announce Type: new Abstract: Female pelvic diseases remain an under researched area characterized by often delayed diagnosis. While…
ECCV 2026新作！用信息分解法构建脑微结构基础模型，为神经影像分析开启全新范式。
arXiv:2607.00573v1 Announce Type: new Abstract: Diffusion MRI probes brain microstructure with particular sensitivity to early cerebrovascular and neu…
利用非对称QSM-FLAIR建模，精准实现多发性硬化中顺磁环病变的3D自动分类，助力医学影像诊断。
arXiv:2606.16756v1 Announce Type: new Abstract: Paramagnetic rim lesions (Rim$^+$) identified on susceptibility-sensitive MRI have recently emerged as…
扩散模型优化儿童脑肿瘤MRI分割，结合视觉语言解释提升可解释性，为儿科神经肿瘤学精准分析开辟新路
arXiv:2606.14072v1 Announce Type: cross Abstract: Accurate pediatric brain tumor segmentation remains challenging due to limited annotated data, heter…
图匹配网络结合测试时域自适应，解决多中心MRI数据差异，精准诊断阿尔茨海默病。
arXiv:2606.13919v1 Announce Type: cross Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that affects millions of older …
用集成框架自动评估前列腺扩散加权成像几何畸变，为影像质量保障提供新方案。
arXiv:2606.00393v1 Announce Type: cross Abstract: Geometric distortion in prostate diffusion-weighted imaging (DWI) can impair lesion localization and…
GMENet提出生成式混合专家网络，解决多中心胶质瘤诊断中影像序列不完整难题。
arXiv:2605.23183v1 Announce Type: cross Abstract: Contemporary glioma diagnosis integrates molecular features with histopathology to guide clinical de…
通过子区域感知的注意力监督，实现高精度且可解释的脑肿瘤分割，这篇论文为医学影像AI提供了新思路。
arXiv:2605.22572v1 Announce Type: new Abstract: Accurate segmentation of brain tumour sub-regions from multi-parametric MRI is critical for treatment …
血管分割新方法：利用不确定性引导的保守传播进行结构化推理，提升分割精度与鲁棒性
arXiv:2605.20543v1 Announce Type: new Abstract: Accurate vessel segmentation is essential for medical image analysis, yet remains challenging due to c…
眼动追踪在3D胰腺影像中揭示视觉搜索模式，探索医学影像分析新方法。
arXiv:2605.16408v1 Announce Type: new Abstract: Eye tracking has emerged as a powerful tool for examining visual perception and search strategies in v…