跨语言验证发现大脑语言网络与LLM的对齐主要受训练数据驱动，而非语言类型学差异。
arXiv:2605.23032v1 Announce Type: cross Abstract: Brain-LLM alignment is well established in English, yet the brain's language network is neuroanatomi…
首个欧洲多中心乳腺癌MRI数据集发布，为医学影像AI提供高质量训练与评估基准
arXiv:2506.00474v3 Announce Type: replace-cross Abstract: Early detection of breast cancer is critical for improving patient outcomes. While mammograp…
提出运动补偿框架，有效抑制头部运动伪影，大幅提升3D脑部MRI重建清晰度
arXiv:2605.22121v1 Announce Type: new Abstract: Magnetic resonance imaging (MRI) is highly susceptible to patient motion due to its relatively long ac…
首个大规模3D脑MRI视觉问答基准，覆盖5大临床领域，推动医学影像AI理解突破。
arXiv:2605.20525v1 Announce Type: cross Abstract: We present NeuroQA, a large-scale benchmark for visual question answering in 3D brain magnetic reson…
脑部MRI自监督学习新框架，利用3D体令牌对齐实现跨数据集通用表征
arXiv:2605.16775v1 Announce Type: cross Abstract: Self-supervised learning (SSL) has advanced medical image analysis be enabling learning form large u…
首个专为脑肿瘤MRI解读打造的VQA数据集，助力医学影像AI研究新基准。
arXiv:2605.17140v1 Announce Type: cross Abstract: Brain tumor diagnosis is largely dependent on Magnetic Resonance Imaging (MRI) evaluation, which req…
从脑部fMRI信号解码情感描述，AI与神经科学跨界新突破。
arXiv:2605.16739v1 Announce Type: new Abstract: Decoding visual experience from brain activity has advanced substantially, but cur- rent brain-to-text…
4D心脏重建新突破，从稀疏MRI实现个性化高精度建模
arXiv:2605.13994v1 Announce Type: cross Abstract: Accurate 3D+t whole-heart mesh reconstruction from cine MRI is a clinically crucial yet technically …
面向资源受限场景，提出浏览器原生GPU架构实现去中心化MRI数字孪生直接体渲染，技术前沿且具备实操演示。
arXiv:2605.19737v1 Announce Type: cross Abstract: Digital Twin (DT) technology holds immense potential for surgical planning and personalized medicine…
提出SIREM方法，用语音信息引导MRI重建并优化采样，提升图像质量
arXiv:2605.18221v1 Announce Type: cross Abstract: Real-time magnetic resonance imaging (rtMRI) of speech production enables non-invasive visualization…
用β-TCVAE模型从脑功能磁共振数据中分离非线性独立源，揭示大脑网络隐藏信号。
arXiv:2605.16708v1 Announce Type: new Abstract: Learning meaningful latent representations from nonlinear fMRI data remains a fundamental challenge in…
3D MRI脑肿瘤分割迎来突破：引入模糊感知机制，直面患者运动伪影，提升边界与纹理分割精度。
arXiv:2605.15671v1 Announce Type: cross Abstract: Multimodal 3D MRI brain tumor segmentation is a pivotal step in radiotherapy target delineation, sur…
首个统一多模态脑基础模型，横跨fMRI、EEG、MEG，打破单一模态局限。
arXiv:2602.23410v3 Announce Type: replace-cross Abstract: Brain foundation models have achieved remarkable advances across a wide range of neuroscienc…