Lauren O'Donnell

Lauren Jean O'Donnell, Ph.D. is an Associate Professor in Radiology at Harvard Medical School and Brigham and Women's Hospital. She received her Ph.D. from the Harvard-MIT Health Sciences and Technology program at MIT as part of the Medical Vision Group at the Computer Science and Artificial Intelligence Laboratory. Her research group's key projects include analysis of very large diffusion MRI datasets, novel mapping of the superficial white matter, and machine learning using diffusion MRI tractography. Lauren's research group develops open-source software for diffusion magnetic resonance imaging (dmri.slicer.org) and white matter fiber clustering (github.com/SlicerDMRI/whitematteranalysis). Lauren's close collaborators and mentors include the Golby Lab for surgical brain mapping, the Laboratory of Mathematics in Imaging, and the Surgical Planning Laboratory at Harvard Medical School.

Education

• Massachusetts Institute of Technology
  PhD, Medical Image Analysis
• Massachusetts Institute of Technology
  S.M., Computer Science
• Case Western Reserve University
  B.S., Biomedical Engineering
• Case Western Reserve University
  B.A., Spanish

Publications

• Xie G, Zhang F, Leung L, Mooney MA, Epprecht L, Norton I, Rathi Y, Kikinis R, Al-Mefty O, Makris N, others. Anatomical assessment of trigeminal nerve tractography using diffusion MRI: a comparison of acquisition b-values and single-and multi-fiber tracking strategies. NeuroImage: Clinical 2020;:102160.
• Zhang F, Xie G, Leung L, Mooney M, Epprecht L, Norton I, Rathi Y, Kikinis R, Al-Mefty O, Makris N, others. Creation of a novel trigeminal tractography atlas for automated trigeminal nerve identification. bioRxiv 2020;
• Irimia A, Fan D, Chaudhari NN, Ngo V, Zhang F, Joshi SH, O'Donnell LJ. Mapping cerebral connectivity changes after mild traumatic brain injury in older adults using diffusion tensor imaging and Riemannian matching of elastic curves. 2020;
• Zhang F, O'Donnell LJ. Support vector regression. In: Machine Learning. Academic Press; 2020 p. 123–140.