Henning Müller
Primeiro nome(s): Henning
Sobrenome(s): Müller
Email: Henning.Mueller@hevs.ch
Instituto: II

Palavras-chave:


Publicações de Henning Müller ordenado por recente

Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge and Vincent Andrearczyk, On the Scale Invariance in State of the Art CNNs Trained on ImageNet (2021), in: Special Issue "Interpretable and Annotation-Efficient Learning for Medical Image Computing" in Machine Learning and Knowledge Extraction:3(374–391)
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Simon Anzévui, Henning Müller and Manfredo Atzori, Availability of sEMG controlled prosthetic arm components, Information Systems Institute, HES-SO Valais; EPFL, 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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Obioma Pelka, Christoph M Friedrich, Alba García Seco de Herrera and Henning Müller, Overview of the ImageCLEFmed 2019 concept prediction task, in: CLEF2019 Working Notes. CEUR Workshop Proceedings, CEUR-WS. org, Lugano, Switzerland (September 09-12 2019), 2019
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Marek Wodzinski and Henning Müller, Learning-Based Affine Registration of Histological Images, in: International Workshop on Biomedical Image Registration, Springer, páginas 12--22, 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, páginas 1758--1761, 2020
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Henning Müller, Medical Image Retrieval: Applications and Resources, in: International Conference on Multimedia Retrieval, 2020
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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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