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Simulation and synthesis in medical imaging : third International Workshop, SASHIMI 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

Author: Ali Gooya; Orcun Goksel; Ipek Oguz; Ninon Burgos
Publisher: Cham, Switzerland : Springer, 2018.
Series: Lecture notes in computer science, 11037.; LNCS sublibrary., SL 6,, Image processing, computer vision, pattern recognition, and graphics.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Summary:
This book constitutes the refereed proceedings of the Third International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 14 full papers presented were carefully reviewed and selected from numerous submissions. This workshop continues to provide a state-of-the-art and integrative perspective on simulation and  Read more...
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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Additional Physical Format: Printed edition:
Printed edition:
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Ali Gooya; Orcun Goksel; Ipek Oguz; Ninon Burgos
ISBN: 9783030005368 3030005364 9783030005375 3030005372
OCLC Number: 1053622901
Notes: International conference proceedings.
Includes author index.
Description: 1 online resource (x, 140 pages) : illustrations.
Contents: Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks --
Data Augmentation Using synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI --
Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation --
Cross-modality Image Synthesis from Unpaired Data Using CycleGAN: Effects of Gradient Consistency Loss and Training Data Size --
A Machine Learning Approach to Diffusion MRI Partial Volume Estimation --
Unsupervised Learning for Cross-domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks --
Deep Boosted Regression for MR TO CT Synthesis --
Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia --
MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-Modal Alzheimer's Classification --
Tubular Network Formation Process Using 3D Cellular Potts Model --
Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images --
Lung Nodule Synthesis Using CNN-based Latent Data Representation --
RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours --
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models.
Series Title: Lecture notes in computer science, 11037.; LNCS sublibrary., SL 6,, Image processing, computer vision, pattern recognition, and graphics.
Other Titles: SASHIMI 2018
Responsibility: Ali Gooya, Orcun Goksel, Ipek Oguz, Ninon Burgos (eds.).

Abstract:

This book constitutes the refereed proceedings of the Third International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2018, held in conjunction with MICCAI 2018, in Granada,  Read more...

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