activity
20162026
most citedMedical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

223 citations · 516 across the 42 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

cs.CV2023★ 1 cited

Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation

Jialun Pei, Zhangjun Zhou, Yueming Jin +2

High-accuracy Dichotomous Image Segmentation (DIS) aims to pinpoint category-agnostic foreground objects from natural scenes. The main challenge for DIS involves identifying the hi…

q-bio.NC2023

Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding

Zijian Dong, Yilei Wu, Yu Xiao +3

Under the framework of network-based neurodegeneration, brain functional connectome (FC)-based Graph Neural Networks (GNN) have emerged as a valuable tool for the diagnosis and pro…

cs.CV2023★ 25 cited

SimCol3D -- 3D Reconstruction during Colonoscopy Challenge

Anita Rau, Sophia Bano, Yueming Jin +19

Colorectal cancer is one of the most common cancers in the world. While colonoscopy is an effective screening technique, navigating an endoscope through the colon to detect polyps…

cs.CV2023★ 1 cited

CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentation

Jialun Pei, Tao Jiang, He Tang +4

We propose a novel approach for RGB-D salient instance segmentation using a dual-branch cross-modal feature calibration architecture called CalibNet. Our method simultaneously cali…

cs.CV2023★ 20 cited

Dynamic Interactive Relation Capturing via Scene Graph Learning for Robotic Surgical Report Generation

Hongqiu Wang, Yueming Jin, Lei Zhu

For robot-assisted surgery, an accurate surgical report reflects clinical operations during surgery and helps document entry tasks, post-operative analysis and follow-up treatment.…

cs.CV2023★ 223 cited

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Junde Wu, Wei Ji, Yuanpei Liu +4

The Segment Anything Model (SAM) has recently gained popularity in the field of image segmentation due to its impressive capabilities in various segmentation tasks and its prompt-b…