Hyeonsoo Moon

End-to-End Automation Enables High Throughput Spleen Volume Assessment for Computed Tomography Clinical Trials

Hyeonsoo Moon, 2018 .

SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth

Shunxing Bao, Yuankai Huo, Bennett A. Landman, 2018, IEEE Transactions on Medical Imaging.

Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2018, IEEE Transactions on Medical Imaging.

Improving splenomegaly segmentation by learning from heterogeneous multi-source labels

Yuankai Huo, Bennett A. Landman, Albert Assad, 2019, Medical Imaging: Image Processing.

PI3K Inhibition Restores and Amplifies Response to Ruxolitinib in patients with Myelofibrosis.

G. Ayers, Yuankai Huo, C. Bejan, 2023, Clinical cancer research : an official journal of the American Association for Cancer Research.

Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline

Yuankai Huo, Bennett A Landman, Albert Assad, 2019, Comput. Biol. Medicine.