Medical Image Computing and Computer Assisted Intervention MICCAI 2018 21st International Conference Granada Spain September 16 20 2018 Proceedings Part II 1st Edition by Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger – Ebook PDF Instant Download/Delivery: 3030009335, 978-3030009335
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Product details:
ISBN 10: 3030009335
ISBN 13: 978-3030009335
Author: Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger
The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018.
The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections:
Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods.
Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications.
Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods.
Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications.
Table of contents:
Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods
1. Image Quality and Artefacts
2. Image Reconstruction Methods
3. Machine Learning in Medical Imaging
4. Statistical Analysis for Medical Imaging
5. Image Registration Methods
Part II: Optical and Histology Applications; Cardiac, Chest and Abdominal Applications
6. Optical Imaging Applications
7. Histology Applications
8. Microscopy Applications
9. Optical Coherence Tomography and Other Optical Imaging Applications
10. Cardiac Imaging Applications
11. Colorectal, Kidney and Liver Imaging Applications
12. Lung Imaging Applications
13. Breast Imaging Applications
14. Other Abdominal Applications
Part III: Diffusion Tensor Imaging and Functional MRI; Neuroimaging and Brain Segmentation Methods
15. Diffusion Tensor Imaging
16. Diffusion Weighted Imaging
17. Functional MRI
18. Human Connectome
19. Neuroimaging
20. Brain Segmentation Methods
Part IV: Computer Assisted Intervention; Image Segmentation Methods
21. Image Guided Interventions and Surgery
22. Surgical Planning, Simulation and Work Flow Analysis
23. Visualization and Augmented Reality
24. General Image Segmentation Methods, Measures and Applications
25. Multi-Organ Segmentation
26. Abdominal Segmentation Methods
27. Cardiac Segmentation Methods
28. Chest, Lung and Spine Segmentation
29. Other Segmentation Applications
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Tags: Alejandro F Frangi, Julia A Schnabel, Christos Davatzikos, Carlos Alberola Lopez, Gabor Fichtinger, Medical Image Computing, Computer Assisted Intervention, MICCAI 2018, International Conference, Granada, Spain, Proceedings


