Henning Müller

Henning Christian Gottfrid Müller (4 November 1896 – 6 May 1980) was a Swedish tennis player who competed in singles and doubles at the 1920 and 1924 Olympics. He had his best results in the doubles, finishing ninth in 1920, with Olle Andersson, and fifth in 1924, with Charles Wennergren and Sigrid Fick.

At the 1927 Wimbledon Championships he lost in the first round of the singles event to Craig Campbell. Provided by Wikipedia
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  1. 1
    Influence of different meteorological parameters on the development of an ozone gradient between the soil surface and a level of 250 cm

    Influence of different meteorological parameters on the development of an ozone gradient between the soil surface and a level of 250 cm by Uwe Veit, Ingeborg Henning-Müller

    Published 2001-10-01
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  2. 2
    Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping

    Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping by Matteo Cognolato, Matteo Cognolato, Manfredo Atzori, Manfredo Atzori, Roger Gassert, Henning Müller, Henning Müller

    Published 2022-01-01
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  3. 3
    Large language model-based information extraction from free-text radiology reports: a scoping review protocol

    Large language model-based information extraction from free-text radiology reports: a scoping review protocol by Daniel Reichenpfader, Henning Müller, Kerstin Denecke

    Published 2023-12-01
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  4. 4
    Mapping of the Upper Limb Work-Space: Benchmarking Four Wrist Smoothness Metrics

    Mapping of the Upper Limb Work-Space: Benchmarking Four Wrist Smoothness Metrics by Alessandro Scano, Cristina Brambilla, Henning Müller, Manfredo Atzori

    Published 2022-12-01
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  5. 5
    Variability of Muscle Synergies in Hand Grasps: Analysis of Intra- and Inter-Session Data

    Variability of Muscle Synergies in Hand Grasps: Analysis of Intra- and Inter-Session Data by Una Pale, Manfredo Atzori, Henning Müller, Alessandro Scano

    Published 2020-08-01
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  6. 6
    On the Scale Invariance in State of the Art CNNs Trained on ImageNet

    On the Scale Invariance in State of the Art CNNs Trained on ImageNet by Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk

    Published 2021-04-01
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  7. 7
    Deep learning-based retrieval system for gigapixel histopathology cases and the open access literature

    Deep learning-based retrieval system for gigapixel histopathology cases and the open access literature by Roger Schaer, Sebastian Otálora, Oscar Jimenez-del-Toro, Manfredo Atzori, Henning Müller

    Published 2019-01-01
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  8. 8
    An AI-based algorithm for the automatic evaluation of image quality in canine thoracic radiographs

    An AI-based algorithm for the automatic evaluation of image quality in canine thoracic radiographs by Tommaso Banzato, Marek Wodzinski, Silvia Burti, Eleonora Vettore, Henning Muller, Alessandro Zotti

    Published 2023-10-01
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  9. 9
    Questioning Domain Adaptation in Myoelectric Hand Prostheses Control: An Inter- and Intra-Subject Study

    Questioning Domain Adaptation in Myoelectric Hand Prostheses Control: An Inter- and Intra-Subject Study by Giulio Marano, Cristina Brambilla, Robert Mihai Mira, Alessandro Scano, Henning Müller, Manfredo Atzori

    Published 2021-11-01
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  10. 10
    Functional Synergies Applied to a Publicly Available Dataset of Hand Grasps Show Evidence of Kinematic-Muscular Synergistic Control

    Functional Synergies Applied to a Publicly Available Dataset of Hand Grasps Show Evidence of Kinematic-Muscular Synergistic Control by Alessandro Scano, Nestor Jarque-Bou, Cristina Brambilla, Manfredo Atzori, Andrea D'Avella, Henning Muller

    Published 2023-01-01
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  11. 11
    Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models

    Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models by Weronika Celniak, Marek Wodziński, Artur Jurgas, Silvia Burti, Alessandro Zotti, Manfredo Atzori, Henning Müller, Tommaso Banzato

    Published 2023-11-01
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  12. 12
    Multimodal video and IMU kinematic dataset on daily life activities using affordable devices

    Multimodal video and IMU kinematic dataset on daily life activities using affordable devices by Mario Martínez-Zarzuela, Javier González-Alonso, Míriam Antón-Rodríguez, Francisco J. Díaz-Pernas, Henning Müller, Cristina Simón-Martínez

    Published 2023-09-01
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  13. 13
    How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review

    How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review by Federico Spagnolo, Adrien Depeursinge, Sabine Schädelin, Aysenur Akbulut, Henning Müller, Muhamed Barakovic, Lester Melie-Garcia, Meritxell Bach Cuadra, Cristina Granziera

    Published 2023-01-01
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  14. 14
    Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods

    Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods by Shruti Atul Mali, Abdalla Ibrahim, Henry C. Woodruff, Vincent Andrearczyk, Henning Müller, Sergey Primakov, Zohaib Salahuddin, Avishek Chatterjee, Philippe Lambin

    Published 2021-08-01
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  15. 15
    Data-driven color augmentation for H&E stained images in computational pathology

    Data-driven color augmentation for H&E stained images in computational pathology by Niccolò Marini, Sebastian Otalora, Marek Wodzinski, Selene Tomassini, Aldo Franco Dragoni, Stephane Marchand-Maillet, Juan Pedro Dominguez Morales, Lourdes Duran-Lopez, Simona Vatrano, Henning Müller, Manfredo Atzori

    Published 2023-01-01
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  16. 16
    Modelling digital health data: The ExaMode ontology for computational pathology

    Modelling digital health data: The ExaMode ontology for computational pathology by Laura Menotti, Gianmaria Silvello, Manfredo Atzori, Svetla Boytcheva, Francesco Ciompi, Giorgio Maria Di Nunzio, Filippo Fraggetta, Fabio Giachelle, Ornella Irrera, Stefano Marchesin, Niccolò Marini, Henning Müller, Todor Primov

    Published 2023-01-01
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  17. 17
    CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

    CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII by Burak Kocak, Bettina Baessler, Spyridon Bakas, Renato Cuocolo, Andrey Fedorov, Lena Maier-Hein, Nathaniel Mercaldo, Henning Müller, Fanny Orlhac, Daniel Pinto dos Santos, Arnaldo Stanzione, Lorenzo Ugga, Alex Zwanenburg

    Published 2023-05-01
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  18. 18
    Empowering digital pathology applications through explainable knowledge extraction tools

    Empowering digital pathology applications through explainable knowledge extraction tools by Stefano Marchesin, Fabio Giachelle, Niccolò Marini, Manfredo Atzori, Svetla Boytcheva, Genziana Buttafuoco, Francesco Ciompi, Giorgio Maria Di Nunzio, Filippo Fraggetta, Ornella Irrera, Henning Müller, Todor Primov, Simona Vatrano, Gianmaria Silvello

    Published 2022-01-01
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  19. 19
    Stereoptic serious games as a visual rehabilitation tool for individuals with a residual amblyopia (AMBER trial): a protocol for a crossover randomized controlled trial

    Stereoptic serious games as a visual rehabilitation tool for individuals with a residual amblyopia (AMBER trial): a protocol for a crossover randomized controlled trial by Cristina Simon-Martinez, Maria-Paraskevi Antoniou, Walid Bouthour, Daphne Bavelier, Dennis Levi, Benjamin T. Backus, Brian Dornbos, James J. Blaha, Martina Kropp, Henning Müller, Micah Murray, Gabriele Thumann, Heimo Steffen, Pawel J. Matusz

    Published 2023-05-01
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  20. 20
    Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations

    Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations by Niccolò Marini, Stefano Marchesin, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Muller, Manfredo Atzori

    Published 2022-07-01
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