1.

Record Nr.

UNISA996558469903316

Autore

Wolterink Jelmer M

Titolo

Simulation and Synthesis in Medical Imaging [[electronic resource] ] : 8th International Workshop, SASHIMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / / edited by Jelmer M. Wolterink, David Svoboda, Can Zhao, Virginia Fernandez

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023

ISBN

3-031-44689-5

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (151 pages)

Collana

Lecture Notes in Computer Science, , 1611-3349 ; ; 14288

Altri autori (Persone)

SvobodaDavid

ZhaoCan

FernandezVirginia

Disciplina

006.37

Soggetti

Computer vision

Artificial intelligence

Education - Data processing

Application software

Computer Vision

Artificial Intelligence

Computers and Education

Computer and Information Systems Applications

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs Super-resolution Segmentation network for inner-ear tissue segmentation -- Multi-Phase Liver-Specific DCE-MRI Translation via a Registration-Guided GAN -- Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI Physics-Aware Motion Simulation for T2*-Weighted Brain MRI -- Unsupervised heteromodal physics-informed representation of MRI data: tackling data harmonisation, imputation and domain shift -- TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction -- How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound Unsupervised



Liver Tumor Segmentation with Pseudo Anomaly Synthesis -- Improving style transfer in dynamic contrast enhanced MRI using a spatio-temporal approach Synthetic Singleplex-Image Generation in Multiplex-Brightfield Immunohistochemistry -- Digital Pathology using Deep Generative Models Self-Supervised Super-Resolution for Anisotropic MR Images with and without Slice Gap DIFF·3: A latent diffusion model for the generation of synthetic 3D echocardiographic images and corresponding labels.

Sommario/riassunto

This book constitutes the refereed proceedings of the 8th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada, in October 2023. The 13 full papers included in this book were carefully reviewed and selected from 16 submissions. They span a wide range of topics relevant to SASHIMI, and reflect recent developments in methods for segmentation, image-to-image translation, super-resolution, and image synthesis. Applications include MRI imaging, echocardiography, PET, and digital pathology.