Zobrazeno 1 - 10
of 341
pro vyhledávání: '"Hervé, Delingette"'
Autor:
Andrea Chierici, Fabien Lareyre, Benjamin Salucki, Antonio Iannelli, Hervé Delingette, Juliette Raffort
Publikováno v:
Journal of International Medical Research, Vol 52 (2024)
Liver vessel segmentation from routinely performed medical imaging is a useful tool for diagnosis, treatment planning and delivery, and prognosis evaluation for many diseases, particularly liver cancer. A precise representation of liver anatomy is cr
Externí odkaz:
https://doaj.org/article/ef969905decf400a8c34596a9a4fad97
Autor:
Zihao, Wang, Thomas, Demarcy, Clair, Vandersteen, Dan, Gnansia, Charles, Raffaelli, Nicolas, Guevara, Hervé, Delingette
Incorporating shape information is essential for the delineation of many organs and anatomical structures in medical images. While previous work has mainly focused on parametric spatial transformations applied on reference template shapes, in this pa
Externí odkaz:
http://arxiv.org/abs/2105.02045
Autor:
Zihao, Wang, Clair, Vandersteen, Thomas, Demarcy, Dan, Gnansia, Charles, Raffaelli, Nicolas, Guevara, Herve, Delingette
Metal Artifacts creates often difficulties for a high quality visual assessment of post-operative imaging in {c}omputed {t}omography (CT). A vast body of methods have been proposed to tackle this issue, but {these} methods were designed for regular C
Externí odkaz:
http://arxiv.org/abs/2104.12510
Autor:
Carine Wu, Sarah Montagne, Dimitri Hamzaoui, Nicholas Ayache, Hervé Delingette, Raphaële Renard-Penna
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-17 (2022)
Key points Several limitations exist with current methods of automatic prostate segmentation. There is wide variability of databases, imaging tasks and assessment criteria. No preferred methodology for prostate zonal segmentation methodology and term
Externí odkaz:
https://doaj.org/article/daae6f11b8ef438ca69b7637648c2ae6
Autor:
Julian Krebs, Tommaso Mansi, Hervé Delingette, Bin Lou, Joao A. C. Lima, Susumu Tao, Luisa A. Ciuffo, Sanaz Norgard, Barbara Butcher, Wei H. Lee, Ela Chamera, Timm-Michael Dickfeld, Michael Stillabower, Joseph E. Marine, Robert G. Weiss, Gordon F. Tomaselli, Henry Halperin, Katherine C. Wu, Hiroshi Ashikaga
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Better models to identify individuals at low risk of ventricular arrhythmia (VA) are needed for implantable cardioverter-defibrillator (ICD) candidates to mitigate the risk of ICD-related complications. We designed the CERTAINTY study (CinE
Externí odkaz:
https://doaj.org/article/d2c28ff980a9402c89aa70b1c7a2f382
Autor:
Sarah Montagne, Dimitri Hamzaoui, Alexandre Allera, Malek Ezziane, Anna Luzurier, Raphaelle Quint, Mehdi Kalai, Nicholas Ayache, Hervé Delingette, Raphaële Renard-Penna
Publikováno v:
Insights into Imaging, Vol 12, Iss 1, Pp 1-12 (2021)
Abstract Background Accurate prostate zonal segmentation on magnetic resonance images (MRI) is a critical prerequisite for automated prostate cancer detection. We aimed to assess the variability of manual prostate zonal segmentation by radiologists o
Externí odkaz:
https://doaj.org/article/48327e991b6d42f6b997a6c987b1e93e
Autor:
Arnaud Berenbaum, Hervé Delingette, Aurélien Maire, Cécile Poret, Claire Hassen-Khodja, Stéphane Bréant, Christel Daniel, Patricia Martel, Lamiae Grimaldi, Marie Frank, Emmanuel Durand, Florent L. Besson
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5281 (2023)
Purpose: To assess the feasibility of a three-dimensional deep convolutional neural network (3D-CNN) for the general triage of whole-body FDG PET in daily clinical practice. Methods: An institutional clinical data warehouse working environment was de
Externí odkaz:
https://doaj.org/article/5a010272dfea45a5a59a9ef21b1e09f8
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 7 (2020)
We perform unsupervised analysis of image-derived shape and motion features extracted from 3,822 cardiac Magnetic resonance imaging (MRIs) of the UK Biobank. First, with a feature extraction method previously published based on deep learning models,
Externí odkaz:
https://doaj.org/article/fd5ebf65b3ba40889fa2037826de1bae
Autor:
Wilhelm Wimmer, Lukas Anschuetz, Stefan Weder, Franca Wagner, Hervé Delingette, Marco Caversaccio
Publikováno v:
Data in Brief, Vol 27, Iss , Pp - (2019)
The presented data set consists of images, labels and surface models of 23 human bony labyrinths. For each specimen clinical computed tomography (CT) and co-registered high-resolution micro-CT images were acquired. Using the images, the bony labyrint
Externí odkaz:
https://doaj.org/article/d1e4c72916f34b60bd1e62b986b77976
Publikováno v:
Journal of Medical Imaging. 10