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COPAUTH	OCLC	The cookie stores a successful login.	10 years after creation
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SplashPageView	DNN	The cookie controls the single display of the welcome page.	Session
RepeaterCategories, RepeaterGroup	DNNGo	Cookies of the DNN module xPlugin, for layout configuration.	Session

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List of all settings cookies of OPEN:	OCLC	The cookies control the unfolded/closed - status of the different settings sections as well as the visibility of the headers.	Session
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Medical image computing and computer-assisted intervention

first international conference : Cambridge, MA, USA, October 11 - 13, 1998 : proceedings

Year: 1998

Publisher: Berlin, Springer

Series: Lecture notes in computer science; 1496

Media group: MONOGRAPHIE

Part III.; Medical Image Computing and Computer-Assisted Intervention

MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III

Year: 2016

Publisher: Heidelberg, Springer

Parent work: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016

Volume: Part III.

Series: Lecture notes in computer science; 9902

Media group: MONOGRAPHIE

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016

19th International Conference, Athens, Greece, October 17 - 21, 2016, Proceedings

Year: 2016

Publisher: Berlin, Springer

Series: Lecture notes in computer science; 9900/9902

Media group: GESAMTWERK

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Information Processing in Medical Imaging

23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28-July 3, 2013. Proceedings

Year: 2013

Publisher: Heidelberg, Springer

Series: Lecture notes in computer science; 7917

Media group: MONOGRAPHIE

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

7th International Workshop, UNSURE 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings

Year: 2026

Publisher: Heidelberg, Springer

Series: Lecture notes in computer science; 16166

Media group: MONOGRAPHIE

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015

18th International Conference, Munich, Germany, October 5 - 9, 2015, Proceedings

Year: 2015

Publisher: Berlin, Springer

Series: Lecture notes in computer science; 9349/9351

Media group: GESAMTWERK

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Part III.; Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015

Year: 2015

Publisher: Heidelberg, Springer

Parent work: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015

Volume: Part III.

Series: Lecture notes in computer science; 9351

Media group: MONOGRAPHIE

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers

Year: 2017

Publisher: Heidelberg, Springer

Series: Lecture notes in computer science; 10081

Media group: MONOGRAPHIE

Cover von Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis

3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021 Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

Author: Baumgartner, Christian F.; Dalca, Adrian V.

Year: 2021

Publisher: Heidelberg, Springer

Series: Lecture notes in computer science; 12959

Media group: MONOGRAPHIE

OPEN V 11.1.0.0

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Medical image computing and computer-assisted intervention

Part III.; Medical Image Computing and Computer-Assisted Intervention

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016

Information Processing in Medical Imaging

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015

Part III.; Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis