Henning Müller
First name(s): Henning
Last name(s): Müller
Email: Henning.Mueller@hevs.ch
Institute: II

Keywords:


Publications of Henning Müller

2018
Sebastian Otalora, Oscar Perdomo, Manfredo Atzori, Mats Andersson, Martin Hedlund and Henning Müller, Determining the scale of image patches using a deep learning approach, in: IEEE International Symposium on Biomedical Imaging (ISBI), Washington, DC, USA, 2018
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Matteo Cognolato, Manfredo Atzori, Diego Faccio, Cesare Tiengo, Franco Bassetto, Roger Gassert and Henning Müller, Hand Gesture Classification in Transradial Amputees Using the Myo Armband Classifier, in: 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob), Enschede, The Netherlands, pages 156 - 161, 2018
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Matteo Cognolato, Manfredo Atzori and Henning Müller, Head-mounted eye gaze tracking devices: An overview of modern devices and recent advances (2018), in: Journal of Rehabilitation and Assistive Technologies Engineering, 5
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[DOI]
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Francesca Stival, Stefano Michieletto, Enrico Pagello, Henning Müller and Manfredo Atzori, Quantitative hierarchical representation and comparison of hand grasps from electromyography and kinematic data, in: Workshop Learning Applications for Intelligent Autonomous Robots, 15th International Conference on Intelligent Autonomous Systems, Baden-Baden, Germany, 2018
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Mara Graziani, Vincent Andrearczyk and Henning Müller, Regression Concept Vectors for Bidirectional Explanations in Histopathology (2018), in: Lecture Notes in Computer Science, Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2018(8)
  • []: Best paper award

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Kevin Mader, Henning Müller, Bram Stieltjes and E. M. Merkle, Switzerland as a hub for AI in radiology, in: Swiss congress of radiology 2018, Lausanne, Switzerland, 2018
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2017
Yashin Dicente Cid, Henning Müller, Alexandra Platon, Pierre-Alexandre Poletti and Adrien Depeursinge, 3-D Solid Texture Classification Using Locally-Oriented Wavelet Transforms (2017), in: IEEE Transactions on Image Processing, 26:4(1899-1910)
  • []: IF 2015 = 3.735
  • []: Matlab code available! click on this entry to download the library.

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[DOI]
Oscar Jimenez del Toro, Sebastian Otalora, Manfredo Atzori and Henning Müller, Deep Multimodal Case-Based Retrieval for Large Histopathology Datasets, in: MICCAI 2017 workshop on Patch-based image analysis, Quebec City, Canada, 2017
  • []: IF 2005=0.402

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Oscar Jimenez del Toro, Sebastian Otalora, Mats Andersson, Kristian Euren, Martin Hedlund, Mikael Rousson, Henning Müller and Manfredo Atzori, Elsevier book on Texture Analysis, chapter Analysis of Histopathology Images: From Traditional Machine Learning to Deep Learning, 2017
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