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Yiting Xie

Ph.D. Candidate
Mong Junior Cornell Neurotech Fellow
Vision and Image Analysis Group
School of Electrical and Computer Engineering
Cornell University

359 Rhodes Hall
Ithaca, NY 14850

 Xie pic

Brief Biography:

Cornell University (2012-Present), Ph. D. candidate in Electrical and Computer Engineering, minor in Computer Science.

Carnegie Mellon University (2010-2012), M.S. in Electrical and Computer Engineering.

Huazhong University of Science and Technology (2006-2010), B. S. in Electrical Engineering.

Research Interests:

Biomedical image related analysis such as image segmentation and quantitative measurement. Computer vision.

Current Research Topics:

1. Cardiac segmentation and biomarker measurement from low-dose chest CT scans, such as the segmentation of aorta and heart region and the segmentation and labeling of coronary artery calcification.

2. Lung health assessment including the characterization of lung cancer screening nodules and the identification of early-stage interstitial lung diseases from low-dose chest CT scans.

3. Image analysis involving other types of CT images, such as the segmentation of 3D single cell nucleus and cytoplasm from optical CT microscope images.

4. Image registration between 2D functionally assayed individual neurons and 3D neurons in cleared brain images (supported by Cornell Neurotech Mong Fellowship).

Selected Publications:

  1. A. P. Reeves, Y. Xie, and A. Jirapatnakul. Automated pulmonary nodule CT image characterization in lung cancer screening. International Journal of Computer Assisted Radiology and Surgery (IJCARS) , 11(1): 73-88, 2016. [PDF]
  2. A. P. Reeves, S. Liu, and Y. Xie. Image segmentation evaluation for very-large data sets. SPIE Medical Imaging, 9785: 97853J, Feb. 2016. [PDF]
  3. Y. Xie, M. Liang, D. F. Yankelevitz, C. I. Henschke, and A. P. Reeves. Automated measurement of pulmonary artery in low-dose non-contrast chest CT images. SPIE Medical Imaging, 9414: 94141G, Feb. 2015. [PDF]
  4. Y. Xie, M. Liang, D. F. Yankelevitz, C. I. Henschke, and A. P. Reeves. Automated segmentation of cardiac visceral fat in low-dose non-contrast chest CT images. SPIE Medical Imaging, 9414: 94140G, Feb. 2015. [PDF]
  5. Y. Xie, J. Padgett, A. M. Biancardi, and A. P. Reeves. Automated aorta segmentation in low-dose chest CT images. International Journal of Computer Assisted Radiology and Surgery (IJCARS), 9(2): 211-219, 2014. [PDF]
  6. Y. Xie, M. D. Cham, C. Henschke, D. Yankelevitz, and A. P. Reeves. Automated coronary artery calcification detection on low-dose chest CT images. SPIE Medical Imaging, 9035:90350F, Feb. 2014. [PDF]
  7. Y. Xie, Y. M. Htwe, J. Padgett, C. Henschke, D. Yankelevitz, and A. P. Reeves. Automated aortic calcification detection in low-dose chest CT images. SPIE Medical Imaging, 9035:90350P, Feb. 2014. [PDF]
  8. Y. Xie and A. P. Reeves. Single 3D cell segmentation from optical CT microscope images. SPIE Medical Imaging, 9034:90343B, Feb. 2014. [PDF]