Search Results for author: Hyeonsoo Moon

Found 2 papers, 1 papers with code

Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks

no code implementations • 9 Nov 2018 • Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Hyeonsoo Moon, Prasanna Parvathaneni, Tamara K. Moyo, Michael R. Savona, Albert Assad, Richard G. Abramson, Bennett A. Landman

A clinically acquired cohort containing both T1-weighted (T1w) and T2-weighted (T2w) MRI splenomegaly scans was used to train and evaluate the performance of multi-atlas segmentation (MAS), 2D DCNN networks, and a 3D DCNN network.

Segmentation Splenomegaly Segmentation On Multi-Modal Mri

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SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth

1 code implementation • 15 Oct 2018 • Yuankai Huo, Zhoubing Xu, Hyeonsoo Moon, Shunxing Bao, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman

SynSeg-Net is trained by using (1) unpaired intensity images from source and target modalities, and (2) manual labels only from source modality.

Image Segmentation Segmentation +1

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