OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging 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

Chapter 5 is available open access under a Creative Commons Attribution 4.0 International License via Springerlink

Bibliographic Details
Other Authors: Zhou, Luping (Editor), Sarikaya, Duygu (Editor), Kia, Seyed Mostafa (Editor), Speidel, Stefanie (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2019, 2019
Edition:1st ed. 2019
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 02985nmm a2200337 u 4500
001 EB001875630
003 EBX01000000000000001038997
005 00000000000000.0
007 cr|||||||||||||||||||||
008 191108 ||| eng
020 |a 9783030326951 
100 1 |a Zhou, Luping  |e [editor] 
245 0 0 |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 
250 |a 1st ed. 2019 
260 |a Cham  |b Springer International Publishing  |c 2019, 2019 
300 |a XVI, 114 p. 35 illus., 33 illus. in color  |b online resource 
505 0 |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 
653 |a Computer vision 
653 |a Artificial Intelligence 
653 |a Computer Vision 
653 |a Artificial intelligence 
700 1 |a Sarikaya, Duygu  |e [editor] 
700 1 |a Kia, Seyed Mostafa  |e [editor] 
700 1 |a Speidel, Stefanie  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Image Processing, Computer Vision, Pattern Recognition, and Graphics 
028 5 0 |a 10.1007/978-3-030-32695-1 
856 4 0 |u https://doi.org/10.1007/978-3-030-32695-1?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 006.37 
520 |a Chapter 5 is available open access under a Creative Commons Attribution 4.0 International License via Springerlink