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191108 ||| eng |
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|a 9783030326951
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|a Zhou, Luping
|e [editor]
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|a OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging
|h Elektronische Ressource
|b Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
|c edited by Luping Zhou, Duygu Sarikaya, Seyed Mostafa Kia, Stefanie Speidel, Anand Malpani, Daniel Hashimoto, Mohamad Habes, Tommy Löfstedt, Kerstin Ritter, Hongzhi Wang
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|a 1st ed. 2019
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|a Cham
|b Springer International Publishing
|c 2019, 2019
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|a XVI, 114 p. 35 illus., 33 illus. in color
|b online resource
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|a Proceedings of the Second International Workshop on OR 2.0 Context-Aware Operating Theaters (OR 2.0 2019) -- Feature Aggregation Decoder for Segmenting Laparoscopic Scenes -- Preoperative Planning for Guidewires employing Shape-Regularized Segmentation and Optimized Trajectories -- Guided unsupervised desmoking of laparoscopic images using Cycle-Desmoke -- Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration -- Live monitoring of hemodynamic changes with multispectral image analysis -- Towards a Cyber-Physical Systems Based Operating Room of the Future -- Proceedings of the Second International Workshop on Machine Learning in Clinical Neuroimaging: Entering the era of big data via transfer learning and data harmonization (MLCN 2019) -- Deep Transfer Learning For Whole-Brain FMRI Analyses -- Knowledge distillation for semi-supervised domain adaptation -- Relevance Vector Machines for harmonization of MRI brain volumes using image descriptors -- Data Pooling and Sampling of Heterogeneous Image Data for White Matter Hyperintensity Segmentation -- A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study -- Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI across Sites
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|a Computer vision
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|a Artificial Intelligence
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|a Computer Vision
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|a Artificial intelligence
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|a Sarikaya, Duygu
|e [editor]
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|a Kia, Seyed Mostafa
|e [editor]
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|a Speidel, Stefanie
|e [editor]
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Image Processing, Computer Vision, Pattern Recognition, and Graphics
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|a 10.1007/978-3-030-32695-1
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|u https://doi.org/10.1007/978-3-030-32695-1?nosfx=y
|x Verlag
|3 Volltext
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|a 006.37
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|a Chapter 5 is available open access under a Creative Commons Attribution 4.0 International License via Springerlink
|