World's Best Scientists 2026 revealed!
Hans-Christian Hege

Hans-Christian Hege

D-Index & Metrics

Computer Science

D-Index
62
Citations
10797
World Ranking
2969
National Ranking
137

Overview

Hans-Christian Hege is affiliated with the Zuse Institute Berlin in Germany and conducts research primarily in the field of Computer Science. Their work spans several interconnected subfields including Cognitive Neuroscience, Geometry and Topology, Computer Vision and Pattern Recognition, Artificial Intelligence, and Computational Mechanics.

Their research topics focus largely on morphological variations and asymmetry, neural dynamics and brain function, 3D shape modeling and analysis, data visualization and analytics, functional brain connectivity studies, cell image analysis techniques, and neuroscience and neural engineering.

Recent publications by Hans-Christian Hege highlight contributions across multiple venues and years. These include:

  • "The impact of neuron morphology on cortical network architecture" (2022, Cell Reports)
  • "Geodesic Analysis in Kendall's Shape Space with Epidemiological Applications" (2020, Refubium - Universitätsbibliothek der Freien Universität Berlin)
  • "A Hierarchical Geodesic Model for Longitudinal Analysis on Manifolds" (2022, Journal of Mathematical Imaging and Vision)
  • "Simulation-based inference for efficient identification of generative models in computational connectomics" (2023, PLoS Computational Biology)
  • "A Nonlinear Hierarchical Model for Longitudinal Data on Manifolds" (2022, 2022 IEEE 19th International Symposium on Biomedical Imaging - ISBI)

Frequent coauthors collaborating with Hans-Christian Hege include Christoph von Tycowicz, Daniel Baum, Martin Hanik, Philipp Harth, and Daniel Udvary.

The scientist's publications appear regularly in venues such as arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, and Cell Reports.

Best Publications

  • Amira: A highly interactive system for visual data analysis

    Detlev Stalling;Malte Westerhoff;Hans-Christian Hege

  • Fast and resolution independent line integral convolution

    Detlev Stalling;Hans-Christian Hege

  • Interactive visualization of 3D-vector fields using illuminated stream lines

    Malte Zöckler;Detlev Stalling;Hans-Christian Hege

  • Large-eddy simulations over Germany using ICON: a comprehensive evaluation

    Rieke Heinze;Rieke Heinze;Anurag Dipankar;Cintia Carbajal Henken;Christopher Moseley

  • Overview and State-of-the-Art of Uncertainty Visualization

    Georges Pierre Bonneau;Hans Christian Hege;Chris R. Johnson;Manuel M. Oliveira

  • Automated segmentation of electron tomograms for a quantitative description of actin filament networks.

    Alexander Rigort;David Günther;Reiner Hegerl;Daniel Baum

  • Saddle connectors - an approach to visualizing the topological skeleton of complex 3D vector fields

    H. Theisel;T. Weinkauf;H.-C. Hege;H.-P. Seidel

  • The Cactus Code: a problem solving environment for the grid

    G. Allen;W. Benger;W. Benger;T. Goodale;H.-C. Hege

  • Fast and Intuitive Generation of Geometric Shape Transitions

    Malte Zöckler;Detlev Stalling;Hans-Christian Hege

  • Tuner: Principled Parameter Finding for Image Segmentation Algorithms Using Visual Response Surface Exploration

    Thomas Torsney-Weir;A. Saad;T. Moller;H. Hege

  • Probabilistic marching cubes

    Kai Pöthkow;Britta Weber;Hans-Christian Hege

  • Positional Uncertainty of Isocontours: Condition Analysis and Probabilistic Measures

    Unknown

  • Generation of dense statistical connectomes from sparse morphological data

    Robert Egger;Vincent J. Dercksen;Daniel Udvary;Hans-Christian Hege

  • A 3D statistical shape model of the pelvic bone for segmentation

    Hans Lamecker;Martin Seebass;Hans-Christian Hege;Peter Deuflhard

  • Fast display of illuminated field lines

    D. Stalling;M. Zockler;H.-C. Hege

  • A Generalized Marching Cubes Algorithm Based On Non-Binary Classifications

    Hans-Christian Hege;Detlev Stalling;Martin Seebass;Malte Zockler

  • Atlas-based 3D-Shape Reconstruction from X-Ray Images

    H. Lamecker;T.H. Wenckebach;H.-C. Hege

  • Visualization of Biomolecular Structures: State of the Art Revisited

    Barbora Kozlíková;Michael Krone;Martin Falk;Norbert Lindow

  • Clinical evaluation and verification of the hyperthermia treatment planning system hyperplan

    Johanna Gellermann;Peter Wust;Dether Stalling;Martin Seebass

  • ORBKIT - A Modular Python Toolbox for Cross-Platform Post-Processing of Quantum Chemical Wavefunction Data

    Gunter Hermann;Vincent Pohl;Jean Christophe Tremblay;Beate Paulus

  • Automatic segmentation of the pelvic bones from CT data based on a statistical shape model

    H. Seim;D. Kainmueller;M. Heller;H. Lamecker

  • Saddle Connectors - An Approach to Visualizing the Topological Skeleton of Complex 3D Vector Fields

    Holger Theisel;Tino Weinkauf;Hans-Christian Hege;Hans-Peter Seidel

Frequent Co-Authors

Holger Theisel
Holger Theisel Otto-von-Guericke University Magdeburg
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Peter Deuflhard
Peter Deuflhard Zuse Institute Berlin
Edward Seidel
Edward Seidel University of Wyoming
Torsten Möller
Torsten Möller University of Vienna
Oliver Deussen
Oliver Deussen University of Konstanz
Timothy Sullivan
Timothy Sullivan University of Canterbury
Randolf Menzel
Randolf Menzel Freie Universität Berlin
Jürgen Kurths
Jürgen Kurths Potsdam Institute for Climate Impact Research
Tom Abel
Tom Abel Stanford University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees in Computer Science opens up a wide range of flexible and affordable options for students worldwide. Those seeking to complete their degree quickly can consider cheap online degrees fast, which provide both cost-effectiveness and accelerated pacing to help kickstart your tech career sooner.

If your academic record is a concern, don't worry—there are excellent online schools that accept low gpa. These institutions prioritize potential and motivation, offering pathways to achieve your goals even if your GPA isn’t perfect.

Computer science graduates enjoy versatile career opportunities. However, if your interests extend to other fields, you might discover the breadth of possibilities with a science background, like looking into what jobs can you get with an environmental science degree. This can serve as inspiration for multidisciplinary tech roles.

For those eager to accelerate their studies, several programs offer a fast track computer science degree. These programs combine rigorous coursework with flexible online delivery, enabling rapid entry into the workforce or advanced study.

Best Scientists Citing Hans-Christian Hege

Trending Scientists

Recently Published Articles