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Computer Science

D-Index
45
Citations
8967
World Ranking
7160
National Ranking
3136

Overview

Gordon Kindlmann is affiliated with the University of Chicago in the United States and has contributed to research primarily in the fields of Medicine and Computer Science. Their body of work spans diverse subfields including Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, as well as Hardware and Architecture.

The researcher's work covers topical areas such as Aortic aneurysm repair treatments, Cardiovascular Health and Disease Prevention, Aortic Disease and Treatment Approaches, Advanced Neuroimaging Techniques and Applications, Fetal and Pediatric Neurological Disorders, MRI in cancer diagnosis, and 3D Shape Modeling and Analysis.

Recent scholarly contributions include the following papers:

  • SlicerDMRI: Diffusion MRI and Tractography Research Software for Brain Cancer Surgery Planning and Visualization, 2020, JCO Clinical Cancer Informatics
  • The geometric evolution of aortic dissections: Predicting surgical success using fluctuations in integrated Gaussian curvature, 2024, PLoS Computational Biology
  • The Geometric Evolution of Aortic Dissections: Predicting Surgical Success using Fluctuations in Integrated Gaussian Curvature, 2022, bioRxiv (Cold Spring Harbor Laboratory)
  • Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits, 2023, arXiv (Cornell University)
  • Comparing and Combining Approximate Computing Frameworks, 2021, arXiv (Cornell University)

Frequent collaborators in their research include Kameel Khabaz, Seth Sankary, Cheong Lee, Ross Milner, and Luka Pocivavsek. Kindlmann's research appears regularly in venues such as arXiv (Cornell University), JCO Clinical Cancer Informatics, PLoS Computational Biology, bioRxiv (Cold Spring Harbor Laboratory), and the Journal of the American College of Surgeons.

Their interdisciplinary work integrates advanced imaging technologies and computational methods, particularly focusing on applications in cardiovascular medicine and neuroimaging. Kindlmann has engaged in developing tools like diffusion MRI software pertinent to brain cancer surgery planning as well as modeling approaches related to aortic dissection surgical outcomes.

Best Publications

  • Semi-automatic generation of transfer functions for direct volume rendering

    Gordon Kindlmann;James W. Durkin

  • Multidimensional transfer functions for interactive volume rendering

    J. Kniss;G. Kindlmann;C. Hansen

  • DTI measures in crossing-fibre areas: increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease.

    Gwenaëlle Douaud;Saâd Jbabdi;Timothy Edward John Behrens;Ricarda A. Menke

  • Curvature-based transfer functions for direct volume rendering: methods and applications

    G. Kindlmann;R. Whitaker;T. Tasdizen;T. Moller

  • Interactive volume rendering using multi-dimensional transfer functions and direct manipulation widgets

    Joe Kniss;Gordon Kindlmann;Charles Hansen

  • The transfer function bake-off

    H. Pfister;B. Lorensen;C. Bajaj;G. Kindlmann

  • Tensorlines: advection-diffusion based propagation through diffusion tensor fields

    David Weinstein;Gordon Kindlmann;Eric Lundberg

  • Superquadric tensor glyphs

    Gordon Kindlmann

  • Orthogonal tensor invariants and the analysis of diffusion tensor magnetic resonance images

    Daniel B. Ennis;Gordon Kindlmann

  • A geometric analysis of diffusion tensor measurements of the human brain.

    Andrew L. Alexander;Khader Hasan;Gordon Kindlmann;Dennis L. Parker

  • Semi-Automatic Generation of Transfer Functions for Direct Volume Rendering

    James W. Durkin;Gordon Kindlmann

  • Strategies for direct volume rendering of diffusion tensor fields

    G. Kindlmann;D. Weinstein;D. Hart

  • Diffusion Tensor Visualization with Glyph Packing

    G. Kindlmann;Westin

  • An Algebraic Process for Visualization Design

    Gordon L. Kindlmann;Carlos Eduardo Scheidegger

  • Interactive simulation and visualization

    C. Johnson;S.G. Parker;C. Hansen;G.L. Kindlmann

  • Interactive Diffusion Tensor Tractography Visualization for Neurosurgical Planning

    Alexandra Jacqueline Golby;Gordon Kindlmann;Isaiah Hakim Norton;Alexander Yarmarkovich

  • Resolving crossings in the corticospinal tract by two-tensor streamline tractography: Method and clinical assessment using fMRI.

    Arish A. Qazi;Alireza Radmanesh;Lauren O'Donnell;Gordon Kindlmann

  • Superquadric Glyphs for Symmetric Second-Order Tensors

    Thomas Schultz;Gordon L Kindlmann

  • SlicerDMRI: Open Source Diffusion MRI Software for Brain Cancer Research.

    Isaiah Norton;Walid Ibn Essayed;Fan Zhang;Sonia Pujol

  • An Introduction to Visualization of Diffusion Tensor Imaging and Its Applications.

    Anna Vilanova;Song Zhang;Gordon L. Kindlmann;David H. Laidlaw

  • Hue-balls and lit-tensors for direct volume rendering of diffusion tensor fields

    Gordon Kindlmann;David Weinstein

Frequent Co-Authors

Carl-Fredrik Westin
Carl-Fredrik Westin Brigham and Women's Hospital
Charles Hansen
Charles Hansen University of Utah
Anna Vilanova
Anna Vilanova Eindhoven University of Technology
Ron Kikinis
Ron Kikinis Brigham and Women's Hospital
Chris R. Johnson
Chris R. Johnson University of Utah
Stephen M. Smith
Stephen M. Smith University of Oxford
Alexandra J. Golby
Alexandra J. Golby Brigham and Women's Hospital
David H. Laidlaw
David H. Laidlaw Brown University
Martha E. Shenton
Martha E. Shenton Harvard University
Sylvain Bouix
Sylvain Bouix Harvard Medical School

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