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Computer Science

D-Index
37
Citations
7965
World Ranking
10556
National Ranking
4424

Overview

Elizabeth Bullitt is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research primarily falls within the field of Medicine, with a strong focus on Radiology, Nuclear Medicine and Imaging. Additional subfields of study include Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Neurology, and Genetics.

The scientist's work encompasses a variety of topics, notably:

  • Radiomics and Machine Learning in Medical Imaging
  • Brain Tumor Detection and Classification
  • Medical Image Segmentation Techniques
  • MRI in Cancer Diagnosis
  • Advanced MRI Techniques and Applications
  • Medical Imaging and Analysis
  • Connective Tissue Disorders Research

Elizabeth Bullitt has contributed to several publications hosted in the UNC Libraries, a frequent venue for their work. Notable recent papers include:

  • "Vessel tortuosity and brain tumor malignancy: A blinded study" (2020, UNC Libraries)
  • "Registration and Analysis of Vascular Images" (2021, UNC Libraries)
  • "The effects of healthy aging on intracerebral blood vessels visualized by magnetic resonance angiography" (2020, UNC Libraries)
  • "Malignancy-Associated Vessel Tortuosity: A Computer-Assisted, MRA Study of Choroid Plexus Carcinoma in Genetically Engineered Mice" (2020, UNC Libraries)
  • "A principal component analysis for trees" (2021, UNC Libraries)

Collaborations form an integral part of their research, with frequent co-authorship alongside:

  • Stephen Aylward
  • Matthew G. Ewend
  • Donglin Zeng
  • Guido Gerig
  • J. Keith Smith

The collaborative network and venue consistency suggest ongoing engagement with institutions and scholars focused on medical imaging and computational analysis in healthcare.

Best Publications

  • A brain tumor segmentation framework based on outlier detection.

    Marcel Prastawa;Elizabeth Bullitt;Sean Ho;Guido Gerig

  • Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction

    S.R. Aylward;E. Bullitt

  • Measuring tortuosity of the intracerebral vasculature from MRA images

    E. Bullitt;G. Gerig;S.M. Pizer;Weili Lin

  • Level-set evolution with region competition: automatic 3-D segmentation of brain tumors

    S. Ho;E. Bullitt;G. Gerig

  • Population Shape Regression from Random Design Data

    Brad C. Davis;P. Thomas Fletcher;Elizabeth Bullitt;Sarang Joshi

  • Vessel tortuosity and brain tumor malignancy: a blinded study.

    Elizabeth Bullitt;Donglin Zeng;Guido Gerig;Stephen Aylward

  • Automatic brain tumor segmentation by subject specific modification of atlas priors.

    Marcel Prastawa;Elizabeth Bullitt;Nathan Moon;Koen Van Leemput

  • Systems and methods for tubular object processing

    Stephen R. Aylward;Elizabeth Bullitt;Stephen M. Pizer;Daniel Fritsch

  • Population Shape Regression From Random Design Data

    B.C. Davis;P.T. Fletcher;E. Bullitt;S. Joshi

  • Intensity ridge and widths for tubular object segmentation and description

    S. Aylward;E. Bullitt;S. Pizer;D. Eberly

  • Methods, systems, and computer program products for hierarchical registration between a blood vessel and tissue surface model for a subject and a blood vessel and tissue surface image for the subject

    Stephen Aylward;Elizabeth Bullitt;Julien Jomier

  • Simulation of brain tumors in MR images for evaluation of segmentation efficacy.

    Marcel Prastawa;Elizabeth Bullitt;Guido Gerig

  • The Effect of Exercise on the Cerebral Vasculature of Healthy Aged Subjects as Visualized by MR Angiography

    Elizabeth Bullitt;F. N. Rahman;J. K. Smith;E. Kim

  • Systems, methods, and computer program products for analysis of vessel attributes for diagnosis, disease staging, and surgical planning

    Elizabeth Bullitt;Stephen Aylward

  • Automatic brain and tumor segmentation

    Nathan Moon;Elizabeth Bullitt;Koen Van Leemput;Guido Gerig

  • Registration and Analysis of Vascular Images

    Stephen R. Aylward;Julien Jomier;Sue Weeks;Elizabeth Bullitt

  • White matter abnormalities revealed by diffusion tensor imaging in non-demented and demented HIV+ patients

    Yasheng Chen;Hongyu An;Hongtu Zhu;Taylor Stone

  • Multi-modal image set registration and atlas formation

    Peter Lorenzen;Marcel Prastawa;Brad Davis;Guido Gerig

  • Model-based brain and tumor segmentation

    N. Moon;E. Bullitt;K. van Leemput;G. Gerig

  • The effects of healthy aging on intracerebral blood vessels visualized by magnetic resonance angiography.

    Elizabeth Bullitt;Donglin Zeng;Benedicte Mortamet;Arpita Ghosh

Frequent Co-Authors

Guido Gerig
Guido Gerig New York University
Stephen M. Pizer
Stephen M. Pizer University of North Carolina at Chapel Hill
Sarang Joshi
Sarang Joshi University of Utah
James Stephen Marron
James Stephen Marron University of North Carolina at Chapel Hill
Koen Van Leemput
Koen Van Leemput Harvard University
Alan R. Light
Alan R. Light University of Utah
Charles J. Vierck
Charles J. Vierck University of Florida
Ken D. McCarthy
Ken D. McCarthy University of North Carolina at Chapel Hill
Debra J. Gilbert
Debra J. Gilbert National Institutes of Health
Xiaochun Li
Xiaochun Li University of California, Los Angeles

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