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

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Publications of Henning Müller

2019
Sebastian Otalora, Manfredo Atzori, Vincent Andrearczyk, Amjad Khan and Henning Müller, Staining invariant features for improving generalization of deep convolutional neural networks in computational pathology (2019), in: Frontiers in Bioengineering and Biotechnology-Bioinformatics and Computational Biology
  • []: (IF 2017= 5.122)

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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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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]