Henning Müller

Active 1997–2026

Also published as
Henning Müller
595
Papers
24,809
Citations
72
h-index
309
i10-index

Citations

Citations per year for Henning Müller1926: 1 citations1973: 1 citations1980: 1 citations1981: 2 citations1983: 1 citations1988: 2 citations1989: 1 citations1994: 2 citations1995: 1 citations1998: 1 citations1999: 7 citations2000: 23 citations2001: 26 citations2002: 27 citations2003: 79 citations2004: 127 citations2005: 232 citations2006: 288 citations2007: 313 citations2008: 347 citations2009: 292 citations2010: 359 citations2011: 338 citations2012: 313 citations2013: 395 citations2014: 538 citations2015: 539 citations2016: 491 citations2017: 652 citations2018: 630 citations2019: 976 citations2020: 1,130 citations2021: 1,402 citations2022: 1,352 citations2023: 1,207 citations2024: 1,961 citations2025: 1,268 citations2026: 243 citations1927–1972: no citations, so these years are not shown1974–1979: no citations, so these years are not shown1982: no citations, so this year is not shown1984–1987: no citations, so these years are not shown1990–1993: no citations, so these years are not shown1996–1997: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,316 citing papers, 14.2% of this breakdownChina: 2,231 citing papers, 13.7% of this breakdownGermany: 1,012 citing papers, 6.2% of this breakdownUnited Kingdom: 905 citing papers, 5.6% of this breakdownItaly: 822 citing papers, 5.1% of this breakdownSwitzerland: 821 citing papers, 5% of this breakdownFrance: 677 citing papers, 4.2% of this breakdownIndia: 596 citing papers, 3.7% of this breakdownCanada: 560 citing papers, 3.4% of this breakdownNetherlands: 483 citing papers, 3% of this breakdownSpain: 478 citing papers, 2.9% of this breakdownAustralia: 465 citing papers, 2.9% of this breakdown
0%14.2%Other 30.1%

Fields

  • Computer Science43.7%
  • Medicine31.3%
  • Engineering12.7%
  • Biochemistry, Genetics and Molecular Biology4.1%
  • Neuroscience1.9%
  • Health Professions1%
  • Other5.3%

Topics

  • Radiomics and Machine Learning in Medical Imaging8.4%
  • Image Retrieval and Classification Techniques7.3%
  • Advanced Image and Video Retrieval Techniques6.2%
  • AI in cancer detection4.9%
  • Muscle activation and electromyography studies3.8%
  • EEG and Brain-Computer Interfaces2.4%
  • Other67%

Coauthors

All papers

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Philippe Lambin, Stefan Leger, Ralph T. H. Leijenaar, Jacopo Lenkowicz, Fiona Lippert, Are Losnegård, Klaus Maier‐Hein, Olivier Morin, Henning Müller, Sandy Napel, Christophe Nioche, Fanny Orlhac, Sarthak Pati, Elisabeth Pfaehler, Arman Rahmim, Arvind U K Rao, Jonas Scherer, Muhammad Musib Siddique, Nanna M. Sijtsema, Jairo Socarras Fernandez, Emiliano Spezi, Roel J.H.M. Steenbakkers, Stephanie Tanadini‐Lang, Daniela Thorwarth, Esther G.C. Troost, Taman Upadhaya, Vincenzo Valentini, Lisanne V. van Dijk, Joost J. M. van Griethuysen, Floris H. P. van Velden, P. Whybra, Christian Richter, Steffen Löck - Radiology 2020 cited by 3,876

  2. Metrics reloaded: recommendations for image analysis validation

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Luciana Ferrer, Adrián Galdrán, Bram van Ginneken, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Annette Kopp‐Schneider, Anna Kreshuk, Tahsin Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus Maier‐Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir Rajpoot, Nicola Rieke, Julio Sáez-Rodríguez, Clara I. Sá‎nchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger - Nature Methods 2024 cited by 398

  3. Electromyography data for non-invasive naturally-controlled robotic hand prostheses

    Authors: , , , , , , , , - Scientific Data 2014 cited by 934

  4. CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

    Authors: , , , , , , , , , , , , - Insights into Imaging 2023 cited by 421

  5. METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Ho Yun Lee, Mario Maas, Luis Martí‐Bonmatí, Henning Müller, Nancy A. Obuchowski, Fanny Orlhac, Nickolas Papanikolaou, EA Petrash, Elisabeth Pfaehler, Daniel Pinto dos Santos, Andrea Ponsiglione, S. Sabater, Francesco Sardanelli, Philipp Seeböck, Nanna M. Sijtsema, Arnaldo Stanzione, Alberto Traverso, Lorenzo Ugga, Martin Vallières, Lisanne V. van Dijk, Joost J. M. van Griethuysen, Robbert W. van Hamersvelt, Peter M. A. van Ooijen, Federica Vernuccio, Alan Wang, Stuart Williams, Jan Witowski, Zhongyi Zhang, Alex Zwanenburg, Renato Cuocolo - Insights into Imaging 2024 cited by 269

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

    Authors: , , - Frontiers in Neurorobotics, Frontiers Neurorobotics 2016 cited by 663

  7. Understanding metric-related pitfalls in image analysis validation

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp‐Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus Maier‐Hein, Anne L. Martel, Erik Meijering, Bjoern Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Sáez-Rodríguez, Clara I. Sá‎nchez, Shravya Shetty, Ronald M. Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Ziv Yaniv, Paul F. Jäger, Lena Maier‐Hein - Nature Methods 2024 cited by 175

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

    Authors: , , , , , - PLoS ONE 2017 cited by 407

  9. The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Seyed Masoud Rezaeijo, Christopher G Rookyard, Mohammad R. Salmanpour, Andreas Schindele, Isaac Shiri, Emiliano Spezi, Stephanie Tanadini‐Lang, Florent Tixier, Taman Upadhaya, Vincenzo Valentini, Joost J. M. van Griethuysen, Fereshteh Yousefirizi, Habib Zaidi, Henning Müller, Martin Vallières, Adrien Depeursinge - Radiology 2024 cited by 216

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching‐Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp‐Schneider - Nature Communications 2018 cited by 367

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

    Authors: , , , - Medical Image Analysis, Medical Image Anal. 2017 cited by 260

  12. A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences

    Authors: , , , , , , , , , , , , , , , - Artificial Intelligence Review, Artif. Intell. Rev. 2022 cited by 115

  13. Characterization of a Benchmark Database for Myoelectric Movement Classification

    Authors: , , , , , , , , - IEEE Transactions on Neural Systems and Rehabilitation Engineering 2014 cited by 283

  14. Metrics reloaded: Pitfalls and recommendations for image analysis validation

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Luciana Ferrer, Adrián Galdrán, Bram van Ginneken, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Florian Kofler, Annette Kopp‐Schneider, Anna Kreshuk, Tahsin Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus Maier‐Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir Rajpoot, Nicola Rieke, Julio Sáez-Rodríguez, Clara I. Sá‎nchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger - arXiv (Cornell University), CoRR 2022 cited by 85

  15. Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods

    Authors: , , , , , , , , - Journal of Personalized Medicine 2021 cited by 192

  16. A scoping review of interpretability and explainability concerning artificial intelligence methods in medical imaging

    Authors: , , , - European Journal of Radiology 2023 cited by 73

  17. Retrieval From and Understanding of Large-Scale Multi-modal Medical Datasets: A Review

    Authors: , - IEEE Transactions on Multimedia, IEEE Trans. Multim. 2017 cited by 84

  18. Common Limitations of Image Processing Metrics: A Picture Story

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Doreen Heckmann-Nötzel, Hirsch, Peter, Hoffman, Michael M., Huisman, Merel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Kainmueller, Dagmar, Kainz, Bernhard, Karargyris, Alexandros, Karthikesalingam, Alan, Kavur, A. Emre, Kenngott, Hannes, Jens Kleesiek, Kleppe, Andreas, Kohler, Sven, Kofler, Florian, Annette Kopp‐Schneider, Kooi, Thijs, Michal Kozubek, Kreshuk, Anna, Tahsin Kurç, Bennett A. Landman, Geert Litjens, Madani, Amin, Klaus Maier‐Hein, Martel, Anne L., Mattson, Peter, Meijering, Erik, Bjoern Menze, Moher, David, Moons, Karel G. M., Henning Müller, Nichyporuk, Brennan, Nickel, Felix, Noyan, M. Alican, Jens Petersen, Polat, Gorkem, Rafelski, Susanne M., Rajpoot, Nasir, Mauricio Reyes, Nicola Rieke, Riegler, Michael, Rivaz, Hassan, Saez-Rodriguez, Julio, Sánchez, Clara I., Schroeter, Julien, Saha, Anindo, Selver, M. Alper, Sharan, Lalith, Shetty, Shravya, van Smeden, Maarten, Bram Stieltjes, Ronald M. Summers, Taha, Abdel A., Tiulpin, Aleksei, Sotirios A. Tsaftaris, Van Calster, Ben, Varoquaux, Gaël, Wiesenfarth, Manuel, Yaniv, Ziv R., Paul F. Jäger, Lena Maier‐Hein - arXiv (Cornell University), CoRR 2021 cited by 101

  19. Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Fabian Isensee, Klaus Maier‐Hein, Chengcheng Zhu, Zhao, Huilin, Philippe Bijlenga, Julien Hämmerli, Catherine Wurster, Laura P. Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Handelsmann, Hannah-Lea, Andrew Makmur, James Thomas Patrick Decourcy Hallinan, Soundararajan, Amrish, Benedikt Wiestler, Jan S. Kirschke, Roland Wiest, Emmanuel Montagnon, Laurent Létourneau‐Guillon, Oh, Kwanseok, Lee, Dahye, Hilbert, Adam, Aydin, Orhun Utku, Rallios, Dimitrios, Rieger, Jana, Tanioka, Satoru, Koch, Alexander, Frey, Dietmar, Qayyum, Abdul, Mazher, Moona, Niederer, Steven, Nico Disch, Julius C. Holzschuh, LaBella, Dominic, Francesco Galati, Daniele Falcetta, María A. Zuluaga, Lin, Chaolong, Haoran Zhao, Zehan Zhang, Zhang, Minghui, You, Xin, Zhang, Hanxiao, Yang, Guang-Zhong, Gu, Yun, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodziński, Henning Müller, Mansouri, Nesrin, Autrusseau, Florent, Cansu Yalçın, Rachika E. Hamadache, Lisazo, Clara, Joaquím Salví, Casamitjana, Adrià, Xavier Lladó, Uma Maria Lal-Trehan Estrada, Valeriia Abramova, Luca Giancardo, Arnau Oliver, Casademunt, Paula, Adrián Galdrán, Delucchi, Matteo, Jialu Liu, Haibin Huang, Yue Cui and 13 more - CoRR 2023 cited by 30

  20. Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data

    Authors: , , , , , - International Conference on Rehabilitation Robotics (ICORR) 2017 cited by 114

  21. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification

    Authors: , , , - Medical Image Analysis, Medical Image Anal. 2021 cited by 63

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

    Authors: , , , - International Journal of Medical Informatics, Int. J. Medical Informatics 2004 cited by 1,491

  23. Building the Ninapro database: A resource for the biorobotics community

    Authors: , , , , , , , , - 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) 2012 cited by 258

  24. ImageCLEF 2014: Overview and Analysis of the Results

    Authors: , , , , , , , , , , , - Lecture notes in computer science, CLEF 2014 cited by 101