Team

Name Degree Role Contribution Email
Anish Puligilla M.S. Developer Group-Level Image Registration ap4168@columbia.edu
Chen Liu M.S. Alumnus JET v1.0, AI-CBV mapping from T1-weighted MRI cl3760@columbia.edu
Chenghao Zhang M.S. Developer Medical image registration and age-specific template generation cz2639@columbia.edu
Christopher Wu M.S. Developer cw3360@columbia.edu
David Ma M.S. Developer JET v1.0, JET v2.0 djm2249@columbia.edu
Emily R. Tortora M.S. Developer et2724@columbia.edu
George Kenefati M.S. Developer MDD Prediction from sMRI georgekenefati98@gmail.com
Grant D. Gaebler M.S. Developer Deep learning tools gdg2130@columbia.edu
Haojin Wu M.S. Web Engineer VBA analysis, Web Design hw2846@columbia.edu
Haoran Sun B.S. Alumnus
Jie Shi M.S. Alumnus
Joanne Lee M.S. Alumnus pl2744@columbia.edu
Junhao Zhang M.S. Developer Predicting schizophrenia with deep learning jz3168@columbia.edu
Kejia Liu M.S. Developer kl3291@columbia.edu
Mikhail Morgan M.S. Developer mm5947@columbia.edu
Nanyan Zhu M.A. Alumnus nz2305@columbia.edu
Natalia Harguindeguy M.S. Developer Deep Learning for dual energy CT scans nh2708@columbia.edu
Sabrina B.S. Developer Statistical analysis sg3459@columbia.edu
Vish B.A. Developer TABS - Bias field correction, BET and PVE vmr2132@columbia.edu
Xuemin Zhu M.S. Developer Predicting brain age with MRI using deep learning xueminzhu1211@gmail.com
Yanting Yang M.S. Web Engineer Web Design yy3189@233yeee.com
Ye Tian M.S. Developer MRS_DL_LCM yt2793@columbia.edu
Zhonghui Qie Developer Experiments about MRI and MRS zq2213@columbia.edu
Zhuoyao Xin M.S. Developer Motion Correction of MRI zx2369@columbia.edu
Zihan Wan M.S. Alumnus Super-resolution reconstruction, Motion Correction zw2718@columbia.edu
Chen Liu
Chen Liu
M.S. in Electrical Engineering at Columbia University
Ph.D. student in Computer Science at Yale University
Senior Data Scientist at GE Healthcare
  1. Research Interest
    • Contrastive learning.
    • Generative models and adversarial learning.
    • Deep learning in healthcare.
  2. Homeage
    https://www.chenliu1996.com/
  3. Linkedin
    https://www.linkedin.com/in/chen-raphael-liu/
George Kenefati
George Kenefati
M.S. in Biomedical Engineering at Columbia University
  1. Projects
    MDD Prediction from sMRI.
  2. Research Interest
    Application of ML and DL in elctrophysiology data for brain state decoding.
  3. Linkedin
    https://www.linkedin.com/in/george-kenefati
Natalia Harguindeguy
Natalia Harguindeguy
M.S. in Biomedical Engineering at Columbia University
  1. Projects
    Deep Learning for dual energy computed tomography to predict PBV.
  2. Research Interest
    Computational methods for medical images and medical signals. Machine Learning. Deep Learning.
  3. Linkedin
    https://linkedin.com/in/natalia-harguindeguy/
Xuemin Zhu
Xuemin Zhu
Staff Associate at Columbia University
  1. Projects
    Predicting Brain Age using Deep Learning Method.
  2. Research Interest
    Applying computational methods to medical images, including MRI and CT scans.
  3. Linkedin
    https://www.linkedin.com/in/xuemin-zhu-3931911a7
Yanting Yang
Yanting Yang
M.S. in Biomedical Engineering at Columbia University
  1. Projects
    DeepStream-MRI.com Web design.
  2. Research Interest
    Deep learning in MRI image denoise and segmentation.
  3. Linkedin
    https://www.linkedin.com/in/yanting-yang-6b1516218
Ye Tian
Ye Tian
M.S. in Biomedical Engineering at Columbia University
  1. Projects
    • Classification of Schizophrenia with Structural MRI Using 3D-MIGR Transformer.
    • MRS_DL_LCM(Ongoing).
  2. Research Interest
    Deep learning, Medical Image Processing, Magnetic Resonance Imaging.
  3. Linkedin
    https://www.linkedin.com/in/yetian1997/
David Ma
David Ma
M.S. in Biomedical Engineering at Columbia University
  1. Projects
    MDD Prediction from sMRI.
  2. Research Interest
    Application of ML and DL in elctrophysiology data for brain state decoding.
  3. Linkedin
    https://www.linkedin.com/in/david-jingm
Haojin Wu
Haojin Wu
M.S. in Biomedical Engineering at Columbia University
  1. Projects
    Deep Learning Identifies Neuroimaging Signatures of Hippocampal Contrast Enhancement in Cognitively Normal APOE4 Carriers.
  2. Research Interest
    Magnetic Resonance Imaging, Web Design
  3. Linkedin
    https://www.linkedin.com/in/haojinwu
Chenghao
Chenghao Zhang
M.S. in Biomedical Engineering at Columbia University
  1. Projects
    • Cycle Inverse Consistent Deformable Medical Image Registration with Transfomer.
    • Constructing age-specific MRI brain templates based on a uniform healthy population across life span with Transformer.
  2. Research Interest
    Medical imaging, Deep Learning
  3. Linkedin
    https://www.linkedin.com/in/chzhang1821