World's Best Scientists 2026 revealed!
Allan Hanbury

Allan Hanbury

D-Index & Metrics

Computer Science

D-Index
47
Citations
11719
World Ranking
6378
National Ranking
48

Overview

Allan Hanbury is affiliated with TU Wien in Austria and has contributed extensively to the field of Computer Science, focusing particularly on Artificial Intelligence, Information Systems, and Molecular Biology. Their research covers a range of interdisciplinary topics including Computer Vision and Pattern Recognition as well as aspects of Political Science and International Relations.

The scientist's work frequently engages with several specialized topics, such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Biomedical Text Mining and Ontologies
  • Information Retrieval and Search Behavior
  • Explainable Artificial Intelligence (XAI)
  • Domain Adaptation and Few-Shot Learning
  • Semantic Web and Ontologies

Hanbury's publication record includes recent papers that demonstrate involvement in image segmentation, neural ranking models, and biomedical informatics. Notable papers include:

  • "An annotated fluorescence image dataset for training nuclear segmentation methods," 2020, Scientific Data
  • "Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation," 2021, IEEE Transactions on Medical Imaging
  • "Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation," 2020, arXiv (Cornell University)
  • "Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation," 2020, Zenodo (CERN European Organization for Nuclear Research)
  • "Effective matching of patients to clinical trials using entity extraction and neural re-ranking," 2023, Journal of Biomedical Informatics

Their frequent co-authors include:

  • Sebastian Hofstätter
  • Sophia Althammer
  • Mete Sertkan
  • Markus Zlabinger
  • Wojciech Kusa

Hanbury has published multiple papers in prominent venues with a focus on preprint archives and conference series. The most common publication venues are:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • ACM SIGIR Forum
  • Lecture Notes in Computer Science
  • Journal of Biomedical Informatics

Additionally, the researcher has contributed to book publications through Springer Science+Business Media, including the title "Experimental IR Meets Multilinguality, Multimodality, and Interaction" published in 2022.

Best Publications

  • Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool

    Abdel Aziz Taha;Allan Hanbury

  • Affective image classification using features inspired by psychology and art theory

    Jana Machajdik;Allan Hanbury

  • An Efficient Algorithm for Calculating the Exact Hausdorff Distance

    Abdel Aziz Taha;Allan Hanbury

  • Why rankings of biomedical image analysis competitions should be interpreted with care

    Lena Maier-Hein;Matthias Eisenmann;Annika Reinke;Sinan Onogur

  • Making sense of big data in health research: Towards an EU action plan

    Charles Auffray;Charles Auffray;Rudi Balling;Inês Barroso;László Bencze

  • Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling

    Sebastian Hofstätter;Sheng-Chieh Lin;Jheng-Hong Yang;Jimmy Lin

  • Morphological operators on the unit circle

    A.G. Hanbury;J. Serra

  • A survey of methods for image annotation

    Allan Hanbury

  • Finding defects in texture using regularity and local orientation

    Dmitry Chetverikov;Allan Hanbury

  • Color based skin classification

    Rehanullah Khan;Allan Hanbury;Julian Stöttinger;Abdul Bais

  • Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks

    Oscar Jimenez-del-Toro;Henning Muller;Markus Krenn;Katharina Gruenberg

  • A 3D-polar coordinate colour representation well adapted to image analysis

    Allan Hanbury

  • Visual Methods for Analyzing Probabilistic Classification Data

    Bilal Alsallakh;Allan Hanbury;Helwig Hauser;Silvia Miksch

  • Mathematical Morphology in the HLS Colour Space

    Allan Hanbury;Jean Serra

  • BIAS: Transparent reporting of biomedical image analysis challenges.

    Lena Maier-Hein;Annika Reinke;Michal Kozubek;Anne L. Martel

  • ShARe/CLEF eHealth Evaluation Lab 2014, Task 3: User-centred health information retrieval

    Lorraine Goeuriot;Liadh Kelly;Wei Li;João R. M. Palotti

  • MATHEMATICAL MORPHOLOGY IN THE CIELAB SPACE

    Allan Hanbury;Jean Serra

  • Utilization and perceived problems of online medical resources and search tools among different groups of European physicians.

    Marlene Kritz;Manfred Gschwandtner;Veronika Stefanov;Allan Hanbury

  • Skin detection: A random forest approach

    Rehanullah Khan;Allan Hanbury;Julian Stoettinger

  • Constructing cylindrical coordinate colour spaces

    Allan Hanbury

  • Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation.

    Sebastian Hofstätter;Sophia Althammer;Michael Schröder;Mete Sertkan

Frequent Co-Authors

Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
Georg Langs
Georg Langs Medical University of Vienna
Bjoern H. Menze
Bjoern H. Menze University of Zurich
Nicu Sebe
Nicu Sebe University of Trento
Christoph Bock
Christoph Bock Austrian Academy of Sciences
Bennett A. Landman
Bennett A. Landman Vanderbilt University
Theo Gevers
Theo Gevers University of Amsterdam
Jean Serra
Jean Serra Mines ParisTech
Bram van Ginneken
Bram van Ginneken Radboud University

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