Dr. Anastasia Yendiki’s background is in statistical signal and image processing. She received a PhD in Electrical Engineering: Systems from the University of Michigan at Ann Arbor, where she worked on inverse problems in tomographic reconstruction for nuclear imaging under the supervision of Jeff Fessler. As a postdoctoral research fellow at the Athinoula A. Martinos Center for Biomedigal Imaging, Harvard Medical School and Massachusetts General Hospital, she trained in functional and diffusion-weighted MRI. She received an NIH K99/R00 Pathway to Independence award, which led to the development of TRACULA, the diffusion-weighted MRI analysis stream in FreeSurfer, under the supervision of Bruce Fischl. She is now on the faculty at the Martinos Center and a member of the Laboratory for Computational Neuroimaging (LCN), continuing to develop publicly available, open-source algorithms for studying white-matter anatomy in health and disease.
PhD in Electrical Engineering: Systems, University of Michigan at Ann Arbor
1. Yendiki A, Reuter M, Wilkens P, Rosas HD, Fischl B. Joint reconstruction of white-matter pathways from longitudinal diffusion MRI data with anatomical priors. Neuroimage. 2016 Feb 15;127:277-286.
2. Yendiki A, Koldewyn K, Kakunoori S, Kanwisher N, Fischl B. Spurious group differences due to head motion in a diffusion MRI study. Neuroimage. 2014 Mar;88:79-90.
3. Yendiki A, Panneck P, Srinivasan P, Stevens A, Zöllei L, Augustinack J, Wang R, Salat D, Ehrlich S, Behrens T, Jbabdi S, Gollub R, Fischl B. Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy. Front Neuroinform. 2011 Oct 14;5:23.