Muhan

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Muhan Shao

I am currently a Ph.D. student in the Departement of Electrical and Computer Engineering, The Johns Hopkins University. My research areas include brain MRI segmentation with applications to Normal Pressure hydrocephalus. My advisor is Dr. Jerry Prince.

Journal Publications

• Shao, M., Han, S., Carass, A., Li, X., Blitz, A.M., Shin, J., Prince, J.L. and Ellingsen, L.M., 2019. Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly. NeuroImage: Clinical, p.101871.

Conference Publications

• Shao, M., Han, S., Carass, A., Li, X., Blitz, A. M., Prince, J. L., & Ellingsen, L. M.. Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks. In Understanding and Interpreting Machine Learning in Medical Image Computing Applications (pp. 79-86). Springer, Cham, 2018.
• Shao, M., Carass, A., Li, X., Dewey, B. E., Blitz, A. M., Prince, J. L., & Ellingsen, L. M.. Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricle atlas. In Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging (Vol. 10578, p. 105780F). International Society for Optics and Photonics, 2018.
• Glaister, J., Shao, M., Li, X., Carass, A., Roy, S., Blitz, A.M., Prince, J.L. and Ellingsen, L.M.. Deformable model reconstruction of the subarachnoid space. In Medical Imaging 2018: Image Processing (Vol. 10574, p. 1057431). International Society for Optics and Photonics, 2018.
• Carass, A., Shao, M., Li, X., Dewey, B. E., Blitz, A. M., Roy, S., ... & Ellingsen, L. M.. Whole brain parcellation with pathology: Validation on ventriculomegaly patients. In International Workshop on Patch-Based Techniques in Medical Imaging (pp. 20-28). Springer, Cham, 2017.