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

D-Index & Metrics

Computer Science

D-Index
81
Citations
26262
World Ranking
1022
National Ranking
26

Research.com Recognitions

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

Overview

Henning Müller is affiliated with the University of Applied Sciences and Arts Western Switzerland in Switzerland. Their research contributions span across several interconnected fields, with a strong focus on artificial intelligence and its applications in medical imaging and healthcare.

The main fields of study include:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Cognitive Neuroscience

The subfields connect closely to their research on medical imaging and AI techniques with particular emphasis on radiomics and machine learning approaches.

Key research topics covered by their work are:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Explainable Artificial Intelligence (XAI)
  • Digital Imaging for Blood Diseases
  • Biomedical Text Mining and Ontologies
  • Artificial Intelligence in Healthcare and Education
  • Advanced X-ray and CT Imaging

Henning Müller has coauthored extensively with a consistent group of collaborators, including Manfredo Atzori, Matteo Cognolato, Katia Giacomino, Cesare Tiengo, and Franco Bassetto.

Their recent publications demonstrate an active engagement in radiomics, imaging biomarkers, and validation methodologies. Notable papers include:

  • The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping (2020) published in Radiology
  • CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII (2023) published in Insights into Imaging
  • Metrics reloaded: recommendations for image analysis validation (2024) published in Nature Methods
  • METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII (2024) published in Insights into Imaging
  • Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods (2021) published in Journal of Personalized Medicine

Publication venues frequently contributing to their work include Harvard Dataverse, arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Scientific Data, and Scientific Reports.

Henning Müller also has book contributions, including a publication by Springer Science+Business Media titled Experimental IR Meets Multilinguality, Multimodality, and Interaction (2021).

Best Publications

  • The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

    Alex Zwanenburg;Alex Zwanenburg;Martin Vallières;Mahmoud A. Abdalah;Hugo J. W. L. Aerts;Hugo J. W. L. Aerts

  • A review of content-based image retrieval systems in medical applications—clinical benefits and future directions

    Henning Müller;Nicolas Michoux;David Bandon;Antoine Geissbuhler

  • Electromyography data for non-invasive naturally-controlled robotic hand prostheses

    Manfredo Atzori;Arjan Gijsberts;Claudio Castellini;Barbara Caputo

  • Performance evaluation in content-based image retrieval: overview and proposals

    Henning Müller;Wolfgang Müller;David McG. Squire;Stéphane Marchand-Maillet

  • Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands

    Manfredo Atzori;Matteo Cognolato;Henning Müller

  • Comparison of six electromyography acquisition setups on hand movement classification tasks.

    Stefano Pizzolato;Luca Tagliapietra;Matteo Cognolato;Matteo Cognolato;Monica Reggiani

  • Accessing Multilingual Information Repositories

    Carol Peters;Fredric C. Gey;Julio Gonzalo;Henning Müller

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

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

  • Characterization of a Benchmark Database for Myoelectric Movement Classification

    Manfredo Atzori;Arjan Gijsberts;Ilja Kuzborskij;Simone Elsig

  • Building the Ninapro database: A resource for the biorobotics community

    Manfredo Atzori;Arjan Gijsberts;Simone Heynen;Anne-Gabrielle Mittaz Hager

  • Three-dimensional solid texture analysis in biomedical imaging: review and opportunities.

    Adrien Depeursinge;Adrien Depeursinge;Antonio Foncubierta-Rodriguez;Dimitri Van De Ville;Henning Müller

  • The CLEF 2005 cross–language image retrieval track

    Paul Clough;Henning Müller;Thomas Deselaers;Michael Grubinger

  • Building a reference multimedia database for interstitial lung diseases

    Adrien Depeursinge;Alejandro Vargas;Alexandra Platon;Antoine Geissbuhler

  • Erratum to “A review of content-based image retrieval systems in medical applications—Clinical benefits and future directions” [Int. J. Med. Inform. 73 (1) (2004) 1–23]

    Henning Müller;Nicolas Michoux;David Bandon;Antoine Geissbuhler

  • Large-scale retrieval for medical image analytics: A comprehensive review.

    Zhongyu Li;Xiaofan Zhang;Henning Müller;Shaoting Zhang

  • Overview of the ImageCLEFmed 2006 medical retrieval and medical annotation tasks

    Henning Müller;Thomas Deselaers;Thomas Deserno;Paul Clough

  • The Truth about Corel - Evaluation in Image Retrieval

    Henning Müller;Stéphane Marchand-Maillet;Thierry Pun

  • Content-based query of image databases: inspirations from text retrieval

    David McG. Squire;Wolfgang Müller;Henning Müller;Thierry Pun

  • Advances in Multilingual and Multimodal Information Retrieval

    Carol Peters;Valentin Jijkoun;Thomas Mandl;Henning Müller

  • Movement Error Rate for Evaluation of Machine Learning Methods for sEMG-Based Hand Movement Classification

    Arjan Gijsberts;Manfredo Atzori;Claudio Castellini;Henning Müller

  • The CLEF 2004 cross-language image retrieval track

    Paul Clough;Henning Müller;Mark Sanderson

Frequent Co-Authors

Adrien Depeursinge
Adrien Depeursinge University of Applied Sciences and Arts Western Switzerland
Antoine Geissbuhler
Antoine Geissbuhler University of Geneva
Georg Langs
Georg Langs Medical University of Vienna
Jayashree Kalpathy-Cramer
Jayashree Kalpathy-Cramer Harvard University
Barbara Caputo
Barbara Caputo Polytechnic University of Turin
Thierry Pun
Thierry Pun University of Geneva
Bjoern H. Menze
Bjoern H. Menze University of Zurich
William R. Hersh
William R. Hersh Oregon Health & Science University
Patrick Ruch
Patrick Ruch Swiss Institute of Bioinformatics

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