https://nimgroup.github.io/research/Recent content in Research on NIMGroupHugo -- 0.147.2enThu, 09 Apr 2026 00:00:00 +0000https://nimgroup.github.io/research/isbi2026-zcz/Thu, 09 Apr 2026 00:00:00 +0000https://nimgroup.github.io/research/isbi2026-zcz/针对扩散磁共振成像（dMRI）领域传统沿白质束量化技术高度依赖纤维束追踪、存在假阳性流线与交叉纤维精度不足等固有缺陷、扫描要求高难以适配临床与大样本研究，本研究提出了无需纤维束追踪的端到端深度学习框架 AutoATQ，通过 U-Mamba 网络从参数化球均值图像中实现 72 条人脑白质束的精准分割，再基于 PointNet 点云网络直接从白质束掩码预测束中心线并完成沿束微结构量化，无需传统纤维束追踪即可实现可靠的白质束测量分析。https://nimgroup.github.io/research/ml-healthcare/Sun, 01 Sep 2024 00:00:00 +0000https://nimgroup.github.io/research/ml-healthcare/Developing explainable AI and federated learning systems for clinical decision support across neurological and oncological domains.https://nimgroup.github.io/research/bci-visual-feedback/Sat, 01 Jun 2024 00:00:00 +0000https://nimgroup.github.io/research/bci-visual-feedback/Closed-loop BCI systems leveraging visual cortex signals and real-time image decoding to restore and augment human perception.https://nimgroup.github.io/research/neural-navigation/Fri, 01 Mar 2024 00:00:00 +0000https://nimgroup.github.io/research/neural-navigation/AI-driven surgical navigation systems for precise intracranial targeting using multimodal imaging.