World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
79
Citations
36248
World Ranking
1122
National Ranking
599

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to medical image processing
  • 2012 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Guido Gerig is affiliated with New York University in the United States and has contributed extensively to research in the field of medicine, focusing primarily on radiology, nuclear medicine, and imaging. Their scholarly work spans over a hundred publications with notable engagement in pediatrics, perinatology, child health, cognitive neuroscience, computer vision, pattern recognition, and artificial intelligence.

The scientist's research covers several main topics, including:

  • Advanced Neuroimaging Techniques and Applications
  • Fetal and Pediatric Neurological Disorders
  • Autism Spectrum Disorder Research
  • Advanced MRI Techniques and Applications
  • Medical Image Segmentation Techniques
  • Neonatal and fetal brain pathology
  • Functional Brain Connectivity Studies

Guido Gerig has authored and co-authored papers published in a variety of venues. Frequent publication outlets include:

  • UNC Libraries
  • arXiv (Cornell University)
  • Lecture Notes in Computer Science
  • Journal of Neurodevelopmental Disorders
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

Among recent papers, the following are notable:

  • "Subcortical Brain Development in Autism and Fragile X Syndrome: Evidence for Dynamic, Age- and Disorder-Specific Trajectories in Infancy," 2022, American Journal of Psychiatry
  • "Infant Visual Brain Development and Inherited Genetic Liability in Autism," 2022, American Journal of Psychiatry
  • "Generative Adversarial Registration for Improved Conditional Deformable Templates," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Sex differences associated with corpus callosum development in human infants: A longitudinal multimodal imaging study," 2020, NeuroImage
  • "Enlarged Perivascular Spaces in Infancy and Autism Diagnosis, Cerebrospinal Fluid Volume, and Later Sleep Problems," 2023, JAMA Network Open

Gerig has collaborated frequently with several researchers across numerous projects. Among these co-authors are Martin Styner, Joseph Piven, Stephen R. Dager, Heather C. Hazlett, and Annette Estes.

Recognition of Guido Gerig's contributions includes being named IEEE Fellow in 2019 for work in medical image processing and election as a Fellow of the Indian National Academy of Engineering (INAE) in 2012.

Best Publications

  • User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability

    Paul A. Yushkevich;Joseph Piven;Heather Cody Hazlett;Rachel Gimpel Smith

  • Nonlinear anisotropic filtering of MRI data

    G. Gerig;O. Kubler;R. Kikinis;F.A. Jolesz

  • Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images.

    Yoshinobu Sato;Shin Nakajima;Nobuyuki Shiraga;Hideki Atsumi

  • Unbiased diffeomorphic atlas construction for computational anatomy.

    S. Joshi;Brad Davis;Matthieu Jomier;Guido Gerig

  • Parametrization of closed surfaces for 3-D shape description

    Ch. Brechbühler;G. Gerig;O. Kübler

  • A brain tumor segmentation framework based on outlier detection.

    Marcel Prastawa;Elizabeth Bullitt;Sean Ho;Guido Gerig

  • Parametric estimate of intensity inhomogeneities applied to MRI

    M. Styner;C. Brechbuhler;G. Szckely;G. Gerig

  • Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005

    James S. Duncan;Guido Gerig

  • ITK-SNAP: An interactive tool for semi-automatic segmentation of multi-modality biomedical images

    Paul A. Yushkevich;Yang Gao;Guido Gerig

  • Elastic model-based segmentation of 3-D neuroradiological data sets

    A. Kelemen;G. Szekely;G. Gerig

  • Measuring tortuosity of the intracerebral vasculature from MRA images

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

  • Framework for the Statistical Shape Analysis of Brain Structures using SPHARM-PDM

    Martin Styner;Ipek Oguz;Shun Xu;Christian Brechbühler

  • Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation

    Guido Gerig;Matthieu Jomier;Miranda Chakos

  • Multiscale detection of curvilinear structures in 2-D and 3-D image data

    T.M. Koller;G. Gerig;G. Szekely;D. Dettwiler

  • Automatic segmentation of MR images of the developing newborn brain.

    Marcel Prastawa;John H. Gilmore;Weili Lin;Guido Gerig

  • 3D Multi-scale line filter for segmentation and visualization of curvilinear structures in medical images

    Yoshinobu Sato;Shin Nakajima;Hideki Atsumi;Thomas Koller

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

    S. Ho;E. Bullitt;G. Gerig

  • Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models

    Gábor Székely;András Kelemen;Christian Brechbühler;Guido Gerig

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

    Elizabeth Bullitt;Donglin Zeng;Guido Gerig;Stephen Aylward

  • Shape analysis of brain ventricles using SPHARM

    G. Gerig;M. Styner;D. Jones;D. Weinberger

Frequent Co-Authors

Heather C. Hazlett
Heather C. Hazlett University of North Carolina at Chapel Hill
Sarang Joshi
Sarang Joshi University of Utah
Elizabeth Bullitt
Elizabeth Bullitt University of North Carolina at Chapel Hill
Sarah Paterson
Sarah Paterson Temple University
Jed T. Elison
Jed T. Elison University of Minnesota
Ron Kikinis
Ron Kikinis Brigham and Women's Hospital
Alan C. Evans
Alan C. Evans McGill University
Annette Estes
Annette Estes University of Washington
Robert T. Schultz
Robert T. Schultz Children's Hospital of Philadelphia
Stephen R. Dager
Stephen R. Dager University of Washington

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