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Onderwerp: MedGIFT

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  • 600 publicaties (0 read)
  • 975 auteurs [bekijk]
  • 41 Sub-onderwerpen
Alle publicaties voor onderwerp "MedGIFT" gesorteerd op eerste auteur


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Xiaohong Gao, Henning Müller en Thomas M. Deserno, Integration of Medical images into the Digital Hospital (2011), in: The open medical informatics journal (TOMIJ)(1-2)
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Xiaohong Gao, Henning Müller, Martin Looms, Richard Comley en Shuqian Luo, Editorial, in: MIMI 2007 Proceedings, Springer, 2008
  • []: Impact Factor: 0.402 (2005)

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Alba García Seco de Herrera, Antonio Foncubierta-Rodríguez, Emanuele Schiavi en Henning Müller, 2D-Based 3D Volume Retrieval Using Singular Value Decomposition of Detected Regions, in: Medical Computer Vision. Large Data in Medical Imaging, MICCAI, Nagoya, Japan, pagina's 185-195, Springer International Publishing, 2014
  • []: (IF 2005=0.402)

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Alba García Seco de Herrera, Henning Müller en Stefano Bromuri, Overview of the ImageCLEF 2015 medical classification task, in: Working Notes of CLEF 2015 – Cross Language Evaluation Forum, CEUR, 2015
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Tobias Gass, Antoine Geissbuhler en Henning Müller, Learning a frequency-based weighting for medical image classification (2008), in: Lecture Notes in Computer Science (LNCS), 4987(99-108)
  • []: Impact Factor: 0.402 (2005)

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Tobias Gass, Antoine Geissbuhler en Henning Müller, Learning a frequency-based weighting for medical image classification, in: Medical Imaging and Medical Informatics (MIMI) 2007, pagina's 137-147, 2007
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Arjan Gijsberts, Manfredo Atzori, Claudio Castellini, Henning Müller en Barbara Caputo, Measuring Movement Classification Performance with the Movement Error Rate (2014), in: IEEE Transactions on neural systems and rehabiliation engineering
  • []: Impact Factor=3.255

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Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge en 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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Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge en 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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Michael Grubinger, Paul Clough, Allan Hanbury en Henning Müller, Overview of the ImageCLEF 2007 Photographic Retrieval Task, in: CLEF 2007 Proceedings, pagina's 433-444, Springer, 2008
  • []: Impact Factor: 0.402 (2005)

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