Papers
2
Total Citations
6
H-Index
2
About
Xue Fu is a researcher at the intersection of medical imaging, computer vision, and cognitive assessment. Their work centers on developing and validating computational tools for clinical applications, with a particular focus on stroke rehabilitation and image registration. Fu’s systematic review on computerized cognitive assessment (CCA) for stroke patients critically examined whether automated tools can reliably evaluate cognition, highlighting both their potential to standardize assessments and the risks of bias in clinical deployment. This work, cited 4 times, has informed best practices for integrating AI into neuropsychological testing. More recently, Fu introduced a parametric bi-invariant learning framework for 2D/3D image registration, achieving sub-millimeter precision in aligning preoperative and intraoperative scans—a breakthrough for image-guided interventions. This 2025 paper, already accumulating 2 citations, demonstrates Fu’s ability to merge rigorous mathematical theory with practical clinical needs. By bridging the gap between algorithmic innovation and real-world validation, Fu is shaping how technology can augment—but not replace—human clinical judgment in stroke care and surgical planning.
Research Focus
Key Achievements
Top Papers
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