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

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Publications of Henning Müller sorted by first author


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Oscar Jimenez del Toro, Pol Cirujeda, Yashin Dicente Cid and Henning Müller, RadLex Terms and Local Texture Features for Multimodal Medical Case Retrieval, in: Multimodal Retrieval in the Medical Domain (MRMD) 2015, Vienna, Austria, Springer, 2015
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Oscar Jimenez del Toro, Yashin Dicente Cid, Adrien Depeursinge and Henning Müller, Hierarchic Anatomical Structure Segmentation Guided by Spatial Correlations (AnatSeg-Gspac): VISCERAL Anatomy3, in: Proceedings of the VISCERAL Anatomy Grand Challenge at the 2015 IEEE ISBI, páginas 22-26, CEUR-WS, 2015
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Oscar Jimenez del Toro, Antonio Foncubierta-Rodríguez, Henning Müller, Georg Langs and Allan Hanbury, Overview of the VISCERAL Retrieval Benchmark 2015, in: Multimodal Retrieval in the Medical Domain, Vienna, Austria, Springer, 2015
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Oscar Jimenez del Toro, Antonio Foncubierta-Rodríguez, Maria-Isabel Vargas Gomez, Henning Müller and Adrien Depeursinge, Epileptogenic lesion quantification in MRI using contralateral 3D texture comparisons, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, páginas 353-360, Springer Berlin Heidelberg, 2013
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Oscar Jimenez del Toro and Henning Müller, Multi atlas–based segmentation with data driven refinement, in: Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on, Valencia, Spain, páginas 605-608, IEEE, 2014
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Oscar Jimenez del Toro and Henning Müller, Hierarchical multi-structure segmentation guided by anatomical correlations, in: Proceedings of the VISCERAL Challenge at ISBI, Beijing, China, páginas 32-36, 2014
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Oscar Jimenez del Toro, Henning Müller, Antonio Foncubierta-Rodríguez, Georg Langs and Allan Hanbury, Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmark, capítulo Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmark, Springer, 2017
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Oscar Jimenez del Toro and Henning Müller, Multi-Structure Atlas-Based Segmentation Using Anatomical Regions Of Interest, in: Medical Computer Vision. Large Data in Medical Imaging, Nagoya, Japan, páginas 217-221, Springer International Publishing, 2014
  • []: IF 2005=0.402

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Oscar Jimenez del Toro, Sebastian Otalora, Mats Andersson, Kristian Euren, Martin Hedlund, Mikael Rousson, Henning Müller and Manfredo Atzori, Elsevier book on Texture Analysis, capítulo Analysis of Histopathology Images: From Traditional Machine Learning to Deep Learning, 2017
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Oscar Jimenez del Toro, Sebastian Otalora, Manfredo Atzori and Henning Müller, Deep Multimodal Case-Based Retrieval for Large Histopathology Datasets, in: MICCAI 2017 workshop on Patch-based image analysis, Quebec City, Canada, 2017
  • []: IF 2005=0.402

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