Miaomiao Zhang

 
 
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I am a postdoctoral associate (CV.pdf) working with Dr. Polina Golland in the filed of Medical Image Analysis and Machine Learning in Computer Science and Artificial Intelligence Laboratory at Massachusetts Institute of Technology. Prior to that, I completed my Ph.D. degree in the School of Computing under Computer Science department at University of Utah.

Postdoctoral Associate

[Google Scholar]


Computer Science & Artificial Intelligence

Massachusetts Institute of Technology



Office: 32D-475A

Email: miao86ATmit.edu

Mailing Address:

32 Vassar Street

32D-475A, MIT

Cambridge, MA, 02139

  1. •Zhang, M., Wells III, W. and Golland, P.. Low-dimensional Statistics of Anatomical Variability Via Compact Representation of Image Deformations. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016 (selected for an oral presentation, Best Paper Runner-up)

  2. •Zhang, M. and Golland, P.. Statistical Shape Analysis: From Landmarks to Diffeomorphisms. Medical Image Analysis, 2016

  3. •Zhang, M., and Fletcher, P. T.. Bayesian Statistical Shape Analysis on the Manifold of Diffeomorphisms, to appear in Algorithmic Advances in Riemannian Geometry and Applications, 2016

  4. •Liu, T., Zhang, M., Javanmardi M., Ramesh, N., Tasdizen T.. SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation. European Conference on Computer Vision (ECCV), 2016 (selected for spotlight presentation)

  5. •Liao R., Turk E., Zhang, M., Luo J., Grant E., Adalsteinsson E., and Golland P.. Temporal Registration in In-Utero Volumetric MRI Time Series. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016

  6. •Zhang, M., and Fletcher, P. T.. Bayesian Principal Geodesic Analysis for Estimating Intrinsic Diffeomorphic Image Variability, Medical Image Analysis, 2015

  7. •Zhang, M., and Fletcher, P. T.. Finite-Dimensional Lie Algebras for Fast Diffeomorphic Image Registration, Information Processing in Medical Imaging (IPMI), 2015 (selected for an oral presentation)

  8. •Zhang, M., Shao, H., and Fletcher, P. T. A mixture model for automatic diffeomorphic multi-atlas building. In MICCAI Workshop - BAMBI, 2015 (selected for an oral presentation)

  9. •Zhang, M., Fletcher, P. T.. Bayesian Principal Geodesic Analysis in Diffeomorphic Image Registration. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014 (Young Scientist Award, a.k.a. Best Paper Award)

  10. •Zhang, M., Fletcher, P. T.. Probabilistic Principal Geodesic Analysis. Neural Information Processing Systems (NIPS),  2013

  11. •Zhang, M., Singh, N., Fletcher, P. T.. Bayesian Estimation of Regularization and Atlas Building in Diffeomorphic Image Registration. Information Processing in Medical Imaging (IPMI), 2013 (selected for an oral presentation)

  12. •Hromatka, M., Zhang, M., Fleishman, G. M., Gutman B., Jahanshad N., Thompson P. M., Fletcher P. T.. A Hierarchical Bayesian Model for Multi-Site Diffeomorphic Image Atlases, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015

  13. •Gao, Y., Zhang, M., Fletcher, P. T., and Gerig, G. Image registration and segmentation in longitudinal MRI using temporal appearance modeling. In International Symposium on Biomedical Imaging (ISBI), 2016 (selected for an oral presentation)

SELECTED PUBLICATIONS:

I will be joining the Department of Computer Science and Engineering at Lehigh University as an Assistant Professor Fall 2017. I am looking for passionate PhD students who are interested in Image Analysis and Machine Learning.

CODE:


https://bitbucket.org/FlashC/

(a free C++ library of fast  diffeomorphic image registration)


https://bitbucket.org/vakra/manifoldstatistics

(a C++ library for probabilistic principal geodesic analysis is released and integrated in manifold statistics package)