13 citations · 15 across the 4 of their papers we have counts for
5 papers
GS2POSE: Marry Gaussian Splatting to 6D Object Pose Estimation
Junbo Li, Weimin Yuan, Yinuo Wang +4
Accurate 6D pose estimation of 3D objects is a fundamental task in computer vision, and current research typically predicts the 6D pose by establishing correspondences between 2D i…
Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images
Yinuo Wang, Juhyun Bae, Ka Ho Chow +2
COVID-19 is a severe and acute viral disease that can cause symptoms consistent with pneumonia in which inflammation is caused in the alveolous regions of the lungs leading to a bu…
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…
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…
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…