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Gary E. Christensen

Gary E. Christensen

D-Index & Metrics

Computer Science

D-Index
47
Citations
14958
World Ranking
6323
National Ranking
2825

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to medical image registration and analysis

Overview

Gary E. Christensen is affiliated with the University of Iowa in the United States and has a research focus primarily in the field of Medicine. Their work encompasses subfields such as Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation, Biomedical Engineering, and Psychiatry and Mental Health.

Their publication record includes papers in notable venues, among which the most frequent are Medical Physics, Frontiers in Physiology, Journal of Affective Disorders, arXiv (Cornell University), and proceedings from the International Society for Magnetic Resonance in Medicine. Within these venues, Christensen's work has contributed to topics like Lung Cancer Diagnosis and Treatment, Advanced Radiotherapy Techniques, Radiomics and Machine Learning in Medical Imaging, Ultrasound and Hyperthermia Applications, Bipolar Disorder and Treatment, Medical Imaging Techniques and Applications, and Effects of Radiation Exposure.

Recent papers authored or co-authored by Christensen include:

  • Predicting severe chronic obstructive pulmonary disease exacerbations using quantitative CT: a retrospective model development and external validation study (2023, The Lancet Digital Health)
  • Vascular Deformation Mapping for CT Surveillance of Thoracic Aortic Aneurysm Growth (2021, Radiology)
  • Quantifying Regional Lung Deformation Using Four-Dimensional Computed Tomography: A Comparison of Conventional and Oscillatory Ventilation (2020, Frontiers in Physiology)
  • Metabolic abnormalities in the basal ganglia and cerebellum in bipolar disorder: A multi-modal MR study (2022, Journal of Affective Disorders)
  • Geodesic density regression for correcting 4DCT pulmonary respiratory motion artifacts (2021, Medical Image Analysis)

Collaborations play a significant role in Christensen's research output. Frequent co-authors include Joseph M. Reinhardt, John E. Bayouth, Eric A. Hoffman, Sarah E. Gerard, and Mattison J. Flakus.

Among the recognitions received, Christensen was named an IEEE Fellow in 2018 for contributions to medical image registration and analysis.

Best Publications

  • Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.

    Arno Klein;Jesper L. R. Andersson;Babak A. Ardekani;Babak A. Ardekani;John Ashburner

  • Deformable templates using large deformation kinematics

    G.E. Christensen;R.D. Rabbitt;M.I. Miller

  • Consistent image registration

    G.E. Christensen;H.J. Johnson

  • Volumetric transformation of brain anatomy

    G.E. Christensen;S.C. Joshi;M.I. Miller

  • Mathematical textbook of deformable neuroanatomies

    Michael I. Miller;Gary E. Christensen;Yali Amit;Ulf Grenander

  • A method for the reconstruction of four-dimensional synchronized CT scans acquired during free breathing.

    Daniel A. Low;Michelle Nystrom;Eugene Kalinin;Parag Parikh

  • Consistent landmark and intensity-based image registration

    H.J. Johnson;G.E. Christensen

  • Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

    K. Murphy;B. van Ginneken;J. M. Reinhardt;S. Kabus

  • 3D brain mapping using a deformable neuroanatomy

    G E Christensen;R D Rabbitt;M I Miller

  • Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation.

    Joseph M. Reinhardt;Kai Ding;Kunlin Cao;Gary E. Christensen

  • Retrospective evaluation of intersubject brain registration

    P. Hellier;C. Barillot;I. Corouge;B. Gibaud

  • Three-dimensional hippocampal MR morphometry with high-dimensional transformation of a neuroanatomic atlas.

    John W. Haller;Ayananshu Banerjee;Gary E. Christensen;Mokhtar Gado

  • Statistical Methods in Computational Anatomy

    Michael Miller;Ayananshu Banerjee;Gary Christensen;Sarang Joshi

  • Introduction to the non-rigid image registration evaluation project (NIREP)

    Gary E. Christensen;Xiujuan Geng;Jon G. Kuhl;Joel Bruss

  • Individualizing neuro-anatomical atlases using a massively parallel computer

    G.E. Christensen;M.I. Miller;M.W. Vannier;U. Grenander

  • Establishing a normative atlas of the human lung: intersubject warping and registration of volumetric CT images.

    Baojun Li;Gary E. Christensen;Eric A. Hoffman;Geoffrey McLennan

  • Consistent Linear-Elastic Transformations for Image Matching

    Gary E. Christensen

  • Tracking lung tissue motion and expansion/compression with inverse consistent image registration and spirometry.

    Gary E. Christensen;Joo Hyun Song;Wei Lu;Issam El Naqa

  • Image-based dose planning of intracavitary brachytherapy: registration of serial-imaging studies using deformable anatomic templates.

    Gary E. Christensen;Blake Carlson;K.S.Clifford Chao;Pen Yin

  • Method and apparatus for image registration

    Michael I. Miller;Gary E. Christensen;Sarang C. Joshi;Ulf Grenander

Frequent Co-Authors

Joseph M. Reinhardt
Joseph M. Reinhardt University of Iowa
Michael W. Vannier
Michael W. Vannier University of Chicago
Sarang Joshi
Sarang Joshi University of Utah
Vincent A. Magnotta
Vincent A. Magnotta University of Iowa
Jess G. Fiedorowicz
Jess G. Fiedorowicz University of Ottawa
John A. Wemmie
John A. Wemmie University of Iowa
Ge Wang
Ge Wang Rensselaer Polytechnic Institute
Milan Sonka
Milan Sonka University of Iowa
Anuj Srivastava
Anuj Srivastava Florida State University
Nancy C. Andreasen
Nancy C. Andreasen University of Iowa

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