A Domain Translation Framework With an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images

Autor: Cristiana Tiago, Sten Roar Snare, Jurica Sprem, Kristin McLeod

Publikováno v: IEEE Access, Vol 11, Pp 17594-17602 (2023)

Currently, medical image domain translation operations show a high demand from researchers and clinicians. Amongst other capabilities, this task allows the generation of new medical images with sufficiently high image quality, making them clinically

Externí odkaz: https://doaj.org/article/cb0e3672f4244dcfafaa3fbb44132252

Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation

Autor: Cristobal Rodero, Eigil Samset, Maciej Marciniak, Andrew Gilbert, Pablo Lamata, Kristin McLeod

Publikováno v: Ieee Transactions on Medical Imaging
PubMed Central
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Deep learning can bring time savings and increased reproducibility to medical image analysis. However, acquiring training data is challenging due to the time-intensive nature of labeling and high inter-observer variability in annotations. Rather than

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b47a4c02bba7418761e2a698f4cf1c4
https://doi.org/10.1109/tmi.2021.3051806

The 'Digital Twin' to enable the vision of precision cardiology

Autor: Pras Pathmanathan, Liesbet Geris, Yingjing Feng, Francesca Margara, Andrew Gilbert, Espen W. Remme, Alfonso Bueno-Orovio, Joao Filipe Fernandes, Mark Potse, Marta Sitges, Blanca Rodriguez, Viatcheslav Gurev, Tammo Delhaas, Tina M. Morrison, Manuel Villegas Martinez, Pablo Lamata, Ali Wajdan, Ada Doltra, Filip Loncaric, Hassaan A. Bukhari, Richard Cornelussen, Paul Leeson, Paolo DiAchille, Frits W. Prinzen, Peter Mortier, Manuel Mayr, Hongxing Luo, Edward J. Vigmond, Mehrdad Shamohammdi, Esther Pueyo, Kristin McLeod, Philip Westphal, Vicente Grau, Jorge Corral-Acero, Ernesto Zacur, Steven A. Niederer, Mariana Sousa Santos, Maciej Marciniak, Cristobal Rodero

Publikováno v: European Heart Journal Supplements
European Heart Journal Supplements, Oxford University Press (OUP), In press, pp.1-11. ⟨10.1093/eurheartj/ehaa159⟩
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European Heart Journal, Oxford University Press (OUP): Policy B, 2020, 41 (48), pp.4556-4564. ⟨10.1093/eurheartj/ehaa159⟩
Universidad de Zaragoza
Zaguán: Repositorio Digital de la Universidad de Zaragoza
European Heart Journal
European Heart Journal, 2020, 41 (48), pp.4556-4564. ⟨10.1093/eurheartj/ehaa159⟩
Zaguán. Repositorio Digital de la Universidad de Zaragoza
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Providing therapies tailored to each patient is the vision of precision medicine, enabled by the increasing ability to capture extensive data about individual patients. In this position paper, we argue that the second enabling pillar towards this vis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c97ae7c451477bf2bd40d8067a5c65e
https://hal.inria.fr/hal-02947289

Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis : First International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings

Autor: Qian Wang, Alberto Gomez, Jana Hutter, Kristin McLeod, Veronika Zimmer, Oliver Zettinig, Roxane Licandro, Emma Robinson, Daan Christiaens, Esra Abaci Turk, Andrew Melbourne

This book constitutes the refereed joint proceedings of the First International Workshop on Smart Ultrasound Imaging, SUSI 2019, and the 4th International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2019, held in conjunction w

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges : 7th International Workshop, STACOM 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers

Autor: Tommaso Mansi, Kristin McLeod, Mihaela Pop, Kawal Rhode, Maxime Sermesant, Alistair Young

This book constitutes the thoroughly refereed post-workshop proceedings of the 7th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges. 7th International Workshop, STACOM 2016, Held in