用拓扑数学捕捉微笑的几何纹理，给牙齿影像分析带来全新视角
arXiv:2608.21422v1 Announce Type: new Abstract: CBCT (Cone Beam Computed Tomography) scans provide detailed three-dimensional images, widely used in d…
用Mamba增强跨注意力处理纵向MRI，精准追踪前列腺变化，医学影像分割新解法
arXiv:2510.17529v3 Announce Type: replace-cross Abstract: Active Surveillance (AS) is a treatment option for managing low and intermediate-risk prosta…
从DSA影像跨视角时空建模自动评估侧支循环，为脑血管病诊疗提供精准AI新方案。
arXiv:2608.18986v1 Announce Type: new Abstract: Digital subtraction angiography (DSA) is the reference standard for leptomeningeal collateral (LMC) as…
66,000份脑部MRI训练，用语义图谱预训练让AI真正理解“正常”脑影像基准
arXiv:2608.17521v1 Announce Type: new Abstract: We introduce BrainNorm, a normative foundation model, trained and tested on ~66,000 T1-weighted struct…
跨模态粗到细视网膜图像配准新框架，破解眼底成像模态差异难题，医学AI落地必读。
arXiv:2608.14829v1 Announce Type: cross Abstract: Retinal image registration is essential for ophthalmic diagnosis, longitudinal disease monitoring, a…
多视角眼底图像结合新型视觉Transformer，为卒中快速筛查提供高精度AI方案
arXiv:2608.14722v1 Announce Type: new Abstract: Stroke remains a leading cause of mortality and morbidity worldwide, emphasizing the importance of its…
医疗影像中选预训练模型总靠试错？本文系统检验了迁移性估计指标在医学场景下的鲁棒性，帮你少走弯路。
arXiv:2608.09999v1 Announce Type: cross Abstract: In transfer learning, the choice of source model largely influences the performance on a target data…
把混合专家模型用于乳腺钼靶检测，提升模型鲁棒性，医学影像AI值得一看的新思路。
arXiv:2608.10437v1 Announce Type: new Abstract: Breast lesion detection in mammography remains a challenging task due to variations in image quality, …
AI智能体操控柔性光纤内窥镜，突破近红外二区成像分辨率极限，活体成像更清晰精准。
arXiv:2608.08402v1 Announce Type: new Abstract: Fiber-bundle endoscopy offers a compact and flexible route for clinical fluorescence imaging through n…
面向脑部MRI的可持续扩展基础模型，探索动态架构与终身学习，为医学影像AI提供新范式。
arXiv:2608.08319v1 Announce Type: cross Abstract: Brain magnetic resonance imaging (MRI) is central to neuroscience and clinical assessment, but model…
医学影像基础模型落地前必读的伦理蓝图，给AI划清安全边界。
arXiv:2406.11868v2 Announce Type: replace-cross Abstract: The emergence of foundational models represents a paradigm shift in medical imaging, offerin…
大模型+GRPO强化学习精准控制胸片生成，放射学风格可控，医学影像AI新范式。
arXiv:2608.08046v1 Announce Type: new Abstract: Text-conditioned chest X-ray generation aims to synthesize realistic radiographs that faithfully depic…
用微调MedGemma助力低资源地区成像系统维护，医疗AI落地新思路。
arXiv:2608.08896v1 Announce Type: new Abstract: Imaging device downtime is a major barrier to healthcare delivery in low- and middle-income countries …
将大模型语义锚点融入医疗影像增量学习，破解旧知识遗忘难题，值得关注
arXiv:2608.05808v1 Announce Type: new Abstract: Deep learning models applied to medical image analysis suffer from severe catastrophic forgetting when…
把K空间与高斯表示结合，为并行MRI重建开辟新思路，医学影像AI值得关注。
arXiv:2608.00075v1 Announce Type: new Abstract: Accelerated magnetic resonance imaging (MRI) aims to recover the k-space signal from acquired measurem…
首个统一基准横评多任务3D脑肿瘤分割模型，MRI医学影像AI的实用参考。
arXiv:2607.28858v1 Announce Type: cross Abstract: Automatic brain tumor segmentation from magnetic resonance imaging (MRI) has become a fundamental ta…
医学影像融合迎来意图驱动新思路：扩散Transformer多模态网络，ACM MM 2026收录，技术细节扎实，值得算法研究者细读。
arXiv:2607.28565v1 Announce Type: new Abstract: Medical image fusion aims to integrate complementary information from diverse imaging modalities to su…
医学影像AI落地最怕模型悄悄“变笨”，MMC+框架用可扩展监控提前捕捉漂移，保障长期可靠性。
arXiv:2410.13174v3 Announce Type: replace-cross Abstract: The integration of artificial intelligence (AI) into medical imaging has advanced clinical d…
用反事实分析法揭示医学影像AI中的隐藏偏差，推动更可靠的AI对齐。
arXiv:2504.19621v2 Announce Type: replace Abstract: Machine learning (ML) systems for medical imaging have demonstrated remarkable diagnostic capabili…
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…