World's Best Scientists 2026 revealed!
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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
65
Citations
21258
World Ranking
2422
National Ranking
102

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Joachim Hornegger is affiliated with the University of Erlangen-Nuremberg in Germany. Their research primarily spans the fields of Health Professions and Medicine, with specific focus areas within General Health Professions and Health Informatics.

Their main topics of work include healthcare cost, quality, and practices; artificial intelligence applications in healthcare and education; and challenges within healthcare systems. These focal points suggest an interdisciplinary approach combining medical knowledge with technological innovations.

  • Healthcare cost, quality, practices
  • Artificial Intelligence in Healthcare and Education
  • Healthcare Systems and Challenges

  • Health Professions (2 publications)
  • Medicine (1 publication)

  • General Health Professions (2 publications)
  • Health Informatics (1 publication)

Although no recent papers or frequent co-authors are listed, the scholar's contributions have concentrated on these established fields and topics. There is also no record of book publications or awards, which indicates that their research profile centers on peer-reviewed outputs and ongoing scientific discourse rather than monographs or formally recognized distinctions.

This profile reflects a scholarly trajectory integrated within the University of Erlangen-Nuremberg, emphasizing the intersection of health profession expertise and the advancement of artificial intelligence methodologies to address practical and systemic issues in healthcare delivery and education.

Best Publications

  • Split-spectrum amplitude-decorrelation angiography with optical coherence tomography

    Yali Jia;Ou Tan;Jason Tokayer;Benjamin Potsaid

  • Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015

    Nassir Navab;Joachim Hornegger;William M. Wells;Alejandro F. Frangi

  • Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

    T. Heimann;B. van Ginneken;M.A. Styner;Y. Arzhaeva

  • Robust Vessel Segmentation in Fundus Images

    Attila Budai;Rüdiger Bock;Andreas K. Maier;Joachim Hornegger

  • Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database

    Jan Odstrcilik;Radim Kolar;Attila Budai;Joachim Hornegger

  • Glaucoma risk index: Automated glaucoma detection from color fundus images

    Rüdiger Bock;Jörg Meier;László G. Nyúl;Joachim Hornegger

  • Motion correction in optical coherence tomography volumes on a per A-scan basis using orthogonal scan patterns

    Martin F. Kraus;Benjamin Potsaid;Markus A. Mayer;Ruediger Bock

  • Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans

    Florin-Cristian Ghesu;Bogdan Georgescu;Yefeng Zheng;Sasa Grbic

  • Deconvolution-based CT and MR brain perfusion measurement: theoretical model revisited and practical implementation details

    Andreas Fieselmann;Markus Kowarschik;Arundhuti Ganguly;Joachim Hornegger

  • Absolute quantification in SPECT

    Philipp Ritt;Hans Vija;Joachim Hornegger;Torsten Kuwert

  • Fast GPU-Based CT Reconstruction using the Common Unified Device Architecture (CUDA)

    H. Scherl;B. Keck;M. Kowarschik;J. Hornegger

  • Wavelet Based Noise Reduction in CT-Images Using Correlation Analysis

    A. Borsdorf;R. Raupach;T. Flohr;J. Hornegger

  • Wavelet denoising of multiframe optical coherence tomography data.

    Markus A. Mayer;Anja Borsdorf;Martin Wagner;Joachim Hornegger

  • Automatic no-reference quality assessment for retinal fundus images using vessel segmentation

    Thomas Kohler;Attila Budai;Martin F. Kraus;Jan Odstrcilik

  • Gesture recognition with a Time-Of-Flight camera

    Eva Kollorz;Jochen Penne;Joachim Hornegger;Alexander Barke

  • Tetrahedral vs. polyhedral mesh size evaluation on flow velocity and wall shear stress for cerebral hemodynamic simulation.

    Martin Spiegel;Thomas Redel;Y Jonathan Zhang;Tobias Struffert

  • An Artificial Agent for Anatomical Landmark Detection in Medical Images

    Florin C. Ghesu;Bogdan Georgescu;Tommaso Mansi;Dominik Neumann

  • Quantitative 3D-OCT motion correction with tilt and illumination correction, robust similarity measure and regularization

    Martin F. Kraus;Jonathan J. Liu;Julia Schottenhamml;Chieh Li Chen

  • Biometric and mobile gait analysis for early diagnosis and therapy monitoring in Parkinson's disease

    Jens Barth;Jochen Klucken;Patrick Kugler;Thomas Kammerer

  • Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing

    Florin C. Ghesu;Edward Krubasik;Bogdan Georgescu;Vivek Singh

Frequent Co-Authors

Andreas Maier
Andreas Maier University of Erlangen-Nuremberg
Rebecca Fahrig
Rebecca Fahrig Siemens Healthcare (United States)
Dorin Comaniciu
Dorin Comaniciu Siemens (United States)
Bogdan Georgescu
Bogdan Georgescu Princeton University
Lena Maier-Hein
Lena Maier-Hein German Cancer Research Center
Yefeng Zheng
Yefeng Zheng Tencent (China)
Stefan Steidl
Stefan Steidl MorphoSys (Germany)
Heinrich Niemann
Heinrich Niemann University of Erlangen-Nuremberg
Xiaolin Huang
Xiaolin Huang Shanghai Jiao Tong University

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