Henning Müller
Vorname(n): Henning
Nachname(n): Müller
E-Mail: Henning.Mueller@hevs.ch
Institut: II

Schlagworte:


Publikationen von Henning Müller sortiert nach Zeitschrift und Typ


Publikationen vom Typ Inproceedings


2020

Marek Wodzinski, Tommaso Banzato, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid und 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, Seiten 1758--1761, 2020
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Marek Wodzinski und 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

Linda Cappellato, Nicola Ferro, David Losada und Henning Müller, CLEF 2019 Working Notes, in: CEUR Workshop Proceedings (CEUR- WS.org), 2019
Mara Graziani, Henning Müller und 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 und 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, Seiten 109-116, SPIE, 2019
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Obioma Pelka, Christoph M Friedrich, Alba García Seco de Herrera und 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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2018

Sebastian Otalora, Oscar Perdomo, Manfredo Atzori, Mats Andersson, Martin Hedlund und 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 und 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, Seiten 156 - 161, 2018
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