Henning Müller
First name(s): Henning
Last name(s): Müller
Email: Henning.Mueller@hevs.ch
Institute: Institut Informatique de Gestion

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Publications of Henning Müller

2020
Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge and Vincent Andrearczyk, Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging, in: Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2020, 2020
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Marek Wodzinski and Henning Müller, Learning-Based Affine Registration of Histological Images, in: International Workshop on Biomedical Image Registration, Springer, pages 12--22, 2020
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Henning Müller, Medical Image Retrieval: Applications and Resources, in: International Conference on Multimedia Retrieval, 2020
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Marek Wodzinski, Tommaso Banzato, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid and Henning Müller, Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading, in: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC), IEEE, pages 1758--1761, 2020
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Marek Wodzinski and Henning Müller, Unsupervised Learning-based non-rigid registration of high resolution histology images, in: MICCAI workshop on Machine Learning in Medical Imaging, Springer, 2020
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2019
Francesca Stival, Stefano Michieletto, Matteo Cognolato, Enrico Pagello, Henning Müller and Manfredo Atzori, A Quantitative Taxonomy of Human Hand Grasps, (2019), in: Journal of NeuroEngineering and Rehabilitation,, 16:28
  • []: 2019. (IF=3.865)

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Linda Cappellato, Nicola Ferro, David Losada and Henning Müller, CLEF 2019 Working Notes, in: CEUR Workshop Proceedings (CEUR- WS.org), 2019
Mara Graziani, Henning Müller and Vincent Andrearczyk, Interpreting intentionally flawed models with linear probes, in: ICCV workshop on statistical deep learning in computer vision, Seoul, Korea, 2019
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Vincent Andrearczyk, Adrien Depeursinge and Henning Müller, Learning Cross-Protocol Radiomics and Deep Feature Standardization from CT Images of Texture Phantoms, in: SPIE Medical Imaging 2019, International Society for Optics and Photonics, pages 109-116, SPIE, 2019
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