Simulation and Synthesis in Medical Imaging : Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings / edited by Ali Gooya, Orcun Goksel, Ipek Oguz, Ninon Burgos.

Format:

Book

Contributor:

Gooya, Ali, Editor.

Goksel, Orcun, Editor.

Oguz, Ipek, Editor.

Burgos, Ninon, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11037

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11037

Language:

English

Subjects (All):

Computer vision.

Medical informatics.

Artificial intelligence.

Data protection.

Computer Vision.

Health Informatics.

Artificial Intelligence.

Data and Information Security.

Local Subjects:

Computer Vision.

Health Informatics.

Artificial Intelligence.

Data and Information Security.

Physical Description:

1 online resource (X, 140 pages) : 58 illustrations

Edition:

1st ed. 2018.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2018.

System Details:

text file PDF

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 synthesis in medical imaging for the purpose of invigorating research and stimulating new ideas on how to build theoretical links, practical synergies, and best practices between these two research directions.

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. .

Other Format:

Printed edition:

ISBN:

978-3-030-00536-8

9783030005368

Access Restriction:

Restricted for use by site license.