30 citations · 44 across the 4 of their papers we have counts for
4 papers
Same Branches, Different Trees: A Bifurcation Connectedness Metric for Coronary Artery Segmentation and FFR-CT Decision Agreement
Maame Owusu-Ansah, Kelvin Lee, Dr Vinod Venugopal +3
Fractional flow reserve derived from CT angiography (FFR-CT) simulates flow through a patient-specific vessel model, so its accuracy depends on the connectedness of the segmented t…
SPPNet: A Single-Point Prompt Network for Nuclei Image Segmentation
Qing Xu, Wenwei Kuang, Zeyu Zhang +3
Image segmentation plays an essential role in nuclei image analysis. Recently, the segment anything model has made a significant breakthrough in such tasks. However, the current mo…
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation
Qing Xu, Zhicheng Ma, Na HE +1
Deep learning architecture with convolutional neural network (CNN) achieves outstanding success in the field of computer vision. Where U-Net, an encoder-decoder architecture struct…
DR-Unet104 for Multimodal MRI brain tumor segmentation
Jordan Colman, Lei Zhang, Wenting Duan +1
In this paper we propose a 2D deep residual Unet with 104 convolutional layers (DR-Unet104) for lesion segmentation in brain MRIs. We make multiple additions to the Unet architectu…