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

Schlagworte:


Publikationen von Henning Müller sortiert nach erstem Autor


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Theodora Tsikrika, Alba García Seco de Herrera und Henning Müller, Assessing the Scholarly Impact of ImageCLEF, in: CLEF 2011, Amsterdam, The Netherland, Seiten 95-106, 2011
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Theodora Tsikrika, Henning Müller und Charles E. Kahn, Jr., Log Analysis to Understand Medical Professionals' Image Searching Behaviour, in: Proceedings of the 24th European Medical Informatics Conference (MIE2012), Pisa, Italy, 2012
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Anamaria Vizitiu, Lucian Itu, Ranveer Joyseeree, Adrien Depeursinge, Henning Müller und Constantin Suciu, GPU-Accelerated Texture Analysis Using Steerable Riesz Wavelets, in: 24th IEEE Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, Heraklion Crete, Greece, Seiten 431--434, 2016
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Antoine Widmer und Henning Müller, Using Google Glass to enhance pre-hospital care, in: Swiss e-health summit, Bern, Switzerland, 2014
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Antoine Widmer, Roger Schaer, Dimitrios Markonis und Henning Müller, Facilitating Medical Information Search using Google Glass connected to a Content-based Medical Image Retrieval System, in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, IL, USA, 2014
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Antoine Widmer, Roger Schaer und Henning Müller, Plateforme d'Aide aux Ambulanciers, in: 28eme Conférence Francophone sur l'Interaction Homme-Machine, Fribourg, Switzerland, Seiten 2, 2016
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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, Automatic Multi-structure Segmentation in Cone Beam Computed Tomography Volumes Using Deep Encoder-Decoder Architectures (2025), in: Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data (MICCAI 2024), 15571(63-71)
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Marek Wodzinski und Henning Müller, Learning-Based Affine Registration of Histological Images, in: International Workshop on Biomedical Image Registration, Springer, Seiten 12--22, 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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Mohammad Reza Zare und Henning Müller, Medical x-ray image classification and retrieval system, in: Pacific Asia Conference on Information Systems (PACIS 2016), Chiayi, Taiwan, 2016
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Mohammad Reza Zare und Henning Müller, Automatic Detection of Biomedical Compound Figure using Bag of Words, in: 4th International Conference on Image Processing, Production and Computer Science (ICIPCS'16), Phuket, Thailand, 2016
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Fan Zhang, Yang Song, Weidong Cai, Adrien Depeursinge und Henning Müller, USYD/HES-SO in the VISCERAL Retrieval Benchmark, in: ECIR workshop on Multimodal Retrieval in the Medical Domain, Vienna, Austria, Springer Lecture Notes in Computer Science (LNCS), 2015
  • []: IF 2005=0.402

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