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Simulation and synthesis in medical imagingthird International Workshop, SASHIMI 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Simulation and synthesis in medical imagingedited by Ali Gooya ... [et al.].
Reminder of title:	third International Workshop, SASHIMI 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /
remainder title:	SASHIMI 2018
other author:	Gooya, Ali.
corporate name:
Published:	Cham :Springer International Publishing :2018.
Description:	x, 140 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Diagnostic imagingCongresses.Digital techniques
Online resource:	https://doi.org/10.1007/978-3-030-00536-8
ISBN:	9783030005368$q(electronic bk.)

Simulation and synthesis in medical imagingthird International Workshop, SASHIMI 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /
Simulation and synthesis in medical imagingthird International Workshop, SASHIMI 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /[electronic resource] :SASHIMI 2018edited by Ali Gooya ... [et al.]. - Cham :Springer International Publishing :2018. - x, 140 p. :ill., digital ;24 cm. - Lecture notes in computer science,110370302-9743 ;. - Lecture notes in computer science ;4891..

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.

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.

ISBN: 9783030005368$q(electronic bk.)

Standard No.: 10.1007/978-3-030-00536-8doiSubjects--Topical Terms:

445235
Diagnostic imaging
--Digital techniques--Congresses.

LC Class. No.: TA1634

Dewey Class. No.: 006.6

Simulation and synthesis in medical imagingthird International Workshop, SASHIMI 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /
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505 0 $a 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.
520 $a 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.
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