1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2025
Zero-Shot Multi-modal Large Language Model v.s. Supervised Deep Learning: A Comparative Study on CT-Based Intracranial Hemorrhage Subtyping
Yinuo Wang, Yue Zeng, Kai Chen +3
Introduction: Timely identification of intracranial hemorrhage (ICH) subtypes on non-contrast computed tomography is critical for prognosis prediction and therapeutic decision-maki…
cs.CV2024
MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration
Tao Guo, Yinuo Wang, Shihao Shu +5
Capturing voxel-wise spatial correspondence across distinct modalities is crucial for medical image analysis. However, current registration approaches are not practical enough in t…
eess.IV2023★ 1 cited
SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage Segmentation
Yinuo Wang, Kai Chen, Weimin Yuan +2
Segment Anything Model (SAM), a vision foundation model trained on large-scale annotations, has recently continued raising awareness within medical image segmentation. Despite the…