17 citations · 29 across the 7 of their papers we have counts for
7 papers
Unified and Semantically Grounded Domain Adaptation for Medical Image Segmentation
Xin Wang, Yin Guo, Jiamin Xia +5
Most prior unsupervised domain adaptation approaches for medical image segmentation are narrowly tailored to either the source-accessible setting, where adaptation is guided by sou…
RemInD: Remembering Anatomical Variations for Interpretable Domain Adaptive Medical Image Segmentation
Xin Wang, Yin Guo, Kaiyu Zhang +4
This work presents a novel Bayesian framework for unsupervised domain adaptation (UDA) in medical image segmentation. While prior works have explored this clinically significant ta…
Why is the winner the best?
Matthias Eisenmann, Annika Reinke, Vivienn Weru +122
International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to in…
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
Deep Open Snake Tracker for Vessel Tracing
Li Chen, Wenjin Liu, Niranjan Balu +4
Vessel tracing by modeling vascular structures in 3D medical images with centerlines and radii can provide useful information for vascular health. Existing algorithms have been dev…
Automated Artery Localization and Vessel Wall Segmentation of Magnetic Resonance Vessel Wall Images using Tracklet Refinement and Polar Conversion
Li Chen, Jie Sun, Gador Canton +6
Quantitative analysis of vessel wall structures by automated vessel wall segmentation provides useful imaging biomarkers in evaluating atherosclerotic lesions and plaque progressio…
Y-net: 3D intracranial artery segmentation using a convolutional autoencoder
Li Chen, Yanjun Xie, Jie Sun +6
Automated segmentation of intracranial arteries on magnetic resonance angiography (MRA) allows for quantification of cerebrovascular features, which provides tools for understandin…