activity
20202026
most citedSegment Anything in Medical Images

2.8k citations · 2.9k across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 45 cited

Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation

Yaolei Qi, Yuting He, Xiaoming Qi +2

Accurate segmentation of topological tubular structures, such as blood vessels and roads, is crucial in various fields, ensuring accuracy and efficiency in downstream tasks. Howeve…

cs.CV2023★ 1 cited

Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training

Xiaofei Chen, Yuting He, Cheng Xue +3

The foundation models based on pre-training technology have significantly advanced artificial intelligence from theoretical to practical applications. These models have facilitated…

eess.IV2023★ 1 cited

JCCS-PFGM: A Novel Circle-Supervision based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition

Rongjun Ge, Yuting He, Cong Xia +3

Multiphase contrast-enhanced computed tomography (CECT) scan is clinically significant to demonstrate the anatomy at different phases. In practice, such a multiphase CECT scan inhe…

eess.IV2023★ 2.8k cited

Segment Anything in Medical Images

Jun Ma, Yuting He, Feifei Li +3

Medical image segmentation is a critical component in clinical practice, facilitating accurate diagnosis, treatment planning, and disease monitoring. However, existing methods, oft…

cs.CV2023★ 4 cited

Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training

Yuting He, Guanyu Yang, Rongjun Ge +4

Learning inter-image similarity is crucial for 3D medical images self-supervised pre-training, due to their sharing of numerous same semantic regions. However, the lack of the sema…