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Thema: MedGIFT

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  • 600 Publikationen (0 read)
  • 975 Autoren [betrachten]
  • 41 Unterthemen
Publikationen für Thema: MedGIFT nach Titel sortiert


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Xiaohong Gao, Henning Müller, Martin Looms, Richard Comley und Shuqian Luo, Editorial, in: MIMI 2007 Proceedings, Springer, 2008
  • []: Impact Factor: 0.402 (2005)

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Henning Müller, Jinjun Chen, Massimo Cafaro, Jong Hyuk Park und Nabil Abdennadher, Editorial, in: Proceedings of the 2009 Workshops at the Grid and Pervasive Computig Conference, GPC 2009, IEEE press, 2009
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Allan Hanbury, Henning Müller und Paul Clough, Editorial of the special issue on image and video retrieval evaluation (2010), in: Computer Vision and Image Understanding, 114:4(409-410)
  • []: Impact Factor: 2.22 (2008)

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Thomas Deselaers, Henning Müller und Thomas M. Deserno, Editorial on the special issue on medical image annotation in ImageCLEF 2007 (2008), in: Pattern Recognition Letters, 29:15(1987)
  • []: Impact Factor: 0.853 (2007)

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Henning Müller und Eusebio Passaretti, Editorial. (2008), in: Swiss Medical Informatics, 64
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Manfredo Atzori, Anne-Gabrielle Mittaz Hager, Elsig Simone, Giorgio Giatsidis, Franco Bassetto und Henning Müller, Effects of Prosthesis Use on the Capability to Control Myoelectric Robotic Prosthetic Hands, in: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano (Italy), 2015
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Yashin Dicente Cid, Oscar Jimenez del Toro, Adrien Depeursinge und Henning Müller, Efficient and fully automatic segmentation of the lungs in CT volumes, in: Proceedings of the VISCERAL Anatomy Grand Challenge at the 2015 IEEE ISBI, New York, USA, Seiten 31-35, CEUR-WS, 2015
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Manfredo Atzori, Roger Schaer, Matteo Cognolato und Henning Müller, Electromyography for Hand Prosthetics Demo, in: XXVIII Conférence francophone sur l'Interaction Homme-Machine, Fribourg, Suisse, 2016
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Manfredo Atzori und Henning Müller, Electromyography Low Pass Filtering Effects on the Classification of Hand Movements in Amputated Subjects, in: SCIEI International Conference on Digital Signal Processing (ICDSP), Milano, Italy, 2014
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Oscar Jimenez del Toro, Sebastian Otalora, Mats Andersson, Kristian Euren, Martin Hedlund, Mikael Rousson, Henning Müller und Manfredo Atzori, Elsevier book on Texture Analysis, Kapitel Analysis of Histopathology Images: From Traditional Machine Learning to Deep Learning, 2017
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Antonio Foncubierta-Rodríguez, Antoine Widmer, Adrien Depeursinge und Henning Müller, Enhanced visualization of pulmonary perfusion in 4D Dual Energy CT images, in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, IL, USA, Seiten 6710-6713, 2014
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Henning Müller, Patrick Ruch und Antoine Geissbuhler, Enriching content-based medical image retrieval with automatically extracted MeSH terms, in: Jahrestagung der deutschen Gesellschaft für medizinische Informatik (GMDS 2004), Seiten 266-269, 2004
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Allan Hanbury und Henning Müller, Enterprise Search in Medical Data, in: Workshop on Search Computing, Brussels, Belgium, 2012, 2012
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Oscar Jimenez del Toro, Antonio Foncubierta-Rodríguez, Maria-Isabel Vargas Gomez, Henning Müller und Adrien Depeursinge, Epileptogenic lesion quantification in MRI using contralateral 3D texture comparisons, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, Seiten 353-360, Springer Berlin Heidelberg, 2013
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Henning Müller, Paul Clough, William Hersh, Thomas Deselaers, Thomas M. Lehmann und Antoine Geissbuhler, Evaluation axes for medical image retrieval systems: the ImageCLEF experience, in: MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia, Hilton, Singapore, Seiten 1014-1022, ACM Press, 2005
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Jayashree Kalpathy-Cramer und Henning Müller, Evaluation campaigns in medical imaging, in: Biomedical Image Processing - Methods and Applications, Seiten 497-520, Springer, 2011
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João Palotti, Allan Hanbury und Henning Müller, Exploiting Health Related Features to Infer User Expertise in the Medical Domain, in: Web Search and Data Mining workshop, New York City, NY, USA, 2014
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Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet und Adrien Depeursinge, Exploring local rotation invariance in 3D CNNs with steerable filters, in: Medical Imaging with Deep Learning, Seiten 15-26, Proceedings of Machine Learning Research, 2019
  • []: Won the overall best paper award of MIDL 2019 !

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