World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
10643
World Ranking
6409
National Ranking
299

Overview

Karl Rohr is affiliated with Heidelberg University in Germany and conducts research primarily in the fields of Computer Science and Medicine. Their work spans across several subfields including Computer Vision and Pattern Recognition, Biophysics, Epidemiology, Artificial Intelligence, and Infectious Diseases.

The research topics covered by Karl Rohr include:

  • Cell Image Analysis Techniques
  • Influenza Virus Research Studies
  • Medical Image Segmentation Techniques
  • AI in Cancer Detection
  • Viral Infections and Outbreaks Research
  • Animal Disease Management and Epidemiology
  • Advanced Neural Network Applications

Karl Rohr's recent papers demonstrate a focus on both computational methods and virology. These publications include:

  • Superadditivity and Convex Optimization for Globally Optimal Cell Segmentation Using Deformable Shape Models, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Morphology-dependent entry kinetics and spread of influenza A virus, 2024, bioRxiv (Cold Spring Harbor Laboratory)
  • Morphology-dependent entry kinetics and spread of influenza A virus, 2025, The EMBO Journal
  • EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring, 2022, arXiv (Cornell University)

Throughout these works, Karl Rohr frequently collaborates with a group of co-authors, including Sarah Peterl, Carmen Maria Lahr, Carl Niklas Schneider, Janis Meyer, and Xenia Podlipensky. Each of these collaborators has contributed to multiple joint publications, indicating ongoing research partnerships.

Publication venues for Karl Rohr's work show a distribution across journals and preprint archives that cover both computational and biomedical research domains. These venues include:

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)
  • The EMBO Journal
  • arXiv (Cornell University)

Best Publications

  • Objective comparison of particle tracking methods

    Nicolas Chenouard;Ihor Smal;Fabrice de Chaumont;Martin Maška;Martin Maška

  • Towards model-based recognition of human movements in image sequences

    K. Rohr

  • Landmark-based elastic registration using approximating thin-plate splines

    K. Rohr;H.S. Stiehl;R. Sprengel;T.M. Buzug

  • An objective comparison of cell-tracking algorithms

    Vladimír Ulman;Martin Maška;Klas E G Magnusson;Olaf Ronneberger

  • A benchmark for comparison of cell tracking algorithms

    Martin Maška;Vladimír Ulman;David Svoboda;Pavel Matula

  • Landmark-Based Image Analysis: Using Geometric and Intensity Models

    Karl Rohr

  • Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.

    Mitko Veta;Yujing J. Heng;Nikolas Stathonikos;Babak Ehteshami Bejnordi

  • Radial basis functions with compact support for elastic registration of medical images

    M. Fornefett;K. Rohr;H.S. Stiehl

  • Point-Based Elastic Registration of Medical Image Data Using Approximating Thin-Plate Splines

    Karl Rohr;H. Siegfried Stiehl;Rainer Sprengel;Wolfgang Beil

  • Biomechanical modeling of the human head for physically based, nonrigid image registration

    A. Hagemann;K. Rohr;H.S. Stiehl;U. Spetzger

  • Incremental recognition of pedestrians from image sequences

    K. Rohr

  • Long-term cancer survival prediction using multimodal deep learning.

    Luís A Vale-Silva;Karl Rohr

  • Recognizing corners by fitting parametric models

    Karl Rohr

  • On 3D differential operators for detecting point landmarks

    Karl Rohr

  • Localization properties of direct corner detectors

    Karl Rohr

  • Deterministic and probabilistic approaches for tracking virus particles in time-lapse fluorescence microscopy image sequences

    William J. Godinez;Marko Lampe;Stefan Wörz;Barbara Müller

  • Segmentation and Quantification of Human Vessels Using a 3-D Cylindrical Intensity Model

    S.. Worz;K.. Rohr

  • Modelling and identification of characteristic intensity variations

    Karl Rohr

  • A New Class of Elastic Body Splines for Nonrigid Registration of Medical Images

    Jan Kohlrausch;Karl Rohr;H. Siegfried Stiehl

  • Elastic registration of medical images using radial basis functions with compact support

    M. Fornefett;K. Rohr;H.S. Stiehl

  • Landmark-based image analysis

    Karl Rohr

Frequent Co-Authors

Roland Eils
Roland Eils Charité - University Medicine Berlin
Ralf Bartenschlager
Ralf Bartenschlager Heidelberg University
Barbara Müller
Barbara Müller University Hospital Heidelberg
Karsten Rippe
Karsten Rippe German Cancer Research Center
Christoph Schnörr
Christoph Schnörr Heidelberg University
Jan Ellenberg
Jan Ellenberg European Bioinformatics Institute
Katrin Amunts
Katrin Amunts Forschungszentrum Jülich
David L. Spector
David L. Spector Cold Spring Harbor Laboratory
Thomas Cremer
Thomas Cremer Ludwig-Maximilians-Universität München
Hans-Georg Kräusslich
Hans-Georg Kräusslich Heidelberg University

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