activity
20202025
most citedSegment Anything Model for Medical Images?

502 citations · 547 across the 16 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

eess.IV2023

FetusMapV2: Enhanced Fetal Pose Estimation in 3D Ultrasound

Chaoyu Chen, Xin Yang, Yuhao Huang +11

Fetal pose estimation in 3D ultrasound (US) involves identifying a set of associated fetal anatomical landmarks. Its primary objective is to provide comprehensive information about…

eess.IV2023

FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation

Chaoyu Chen, Xin Yang, Rusi Chen +7

Ultrasound (US) image segmentation is an active research area that requires real-time and highly accurate analysis in many scenarios. The detect-to-segment (DTS) frameworks have be…

eess.IV2023★ 502 cited

Segment Anything Model for Medical Images?

Yuhao Huang, Xin Yang, Lian Liu +16

The Segment Anything Model (SAM) is the first foundation model for general image segmentation. It has achieved impressive results on various natural image segmentation tasks. Howev…

cs.CV2023

Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation

Aishik Konwer, Xiaoling Hu, Joseph Bae +3

In medical vision, different imaging modalities provide complementary information. However, in practice, not all modalities may be available during inference or even training. Prev…

cs.LG2023

BALANCE: Bayesian Linear Attribution for Root Cause Localization

Chaoyu Chen, Hang Yu, Zhichao Lei +6

Root Cause Analysis (RCA) plays an indispensable role in distributed data system maintenance and operations, as it bridges the gap between fault detection and system recovery. Exis…