國立虎尾科技大學 |

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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Simulation and synthesis in medical imaging/ edited 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:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer International Publishing : : 2018.,
Description:	x, 140 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Diagnostic imaging - Handbooks, manuals, etc. - Digital techniques -
Online resource:	https://doi.org/10.1007/978-3-030-00536-8
ISBN:	9783030005368

Simulation and synthesis in medical imaging = third 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 ;6140..

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

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

670816
Diagnostic imaging
--Digital techniques--Handbooks, manuals, etc.

LC Class. No.: TA1634

Dewey Class. No.: 006.6

Simulation and synthesis in medical imaging = third International Workshop, SASHIMI 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /
LDR:03324nam a2200385 a 4500 001 928974
003 DE-He213
005 20180913021408.0
006 m d
007 cr nn 008maaau
008 190626s2018 sz s 0 eng d
020 $a 9783030005368 $q (electronic bk.)
020 $a 9783030005351 $q (paper)
024 7 $a 10.1007/978-3-030-00536-8 $2 doi
035 $a 978-3-030-00536-8
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1634
072 7 $a UYT $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a UYT $2 thema
072 7 $a UYQV $2 thema
082 0 4 $a 006.6 $2 23
090 $a TA1634 $b .S252 2018
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Simulation and synthesis in medical imaging $h [electronic resource] : $b third International Workshop, SASHIMI 2018, held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings / $c edited by Ali Gooya ... [et al.].
246 3 $a SASHIMI 2018
246 3 $a MICCAI 2018
260 $a Cham : $c 2018. $b Springer International Publishing : $b Imprint: Springer,
300 $a x, 140 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 11037
490 1 $a Image processing, computer vision, pattern recognition, and graphics
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.
650 0 $a Diagnostic imaging $x Digital techniques $v Handbooks, manuals, etc. $3 670816 $3 735774
650 0 $a Diagnostic imaging $x Data processing $v Congresses. $3 787070
650 1 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Health Informatics. $3 593963
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
650 2 4 $a Systems and Data Security. $3 677062
700 1 $a Gooya, Ali. $3 1209223
710 2 $a SpringerLink (Online service) $3 593884
711 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 6140. $3 744199
830 0 $a Image processing, computer vision, pattern recognition, and graphics. $3 1209216
856 4 0 $u https://doi.org/10.1007/978-3-030-00536-8
950 $a Computer Science (Springer-11645)