1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2025★ 1 cited
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…
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…