Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Priscille de Dumast"'
Autor:
Samuel Lamon, Priscille de Dumast, Thomas Sanchez, Vincent Dunet, Léo Pomar, Yvan Vial, Mériam Koob, Meritxell Bach Cuadra
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
ObjectiveTo assess the accuracy of corpus callosum (CC) biometry, including sub-segments, using 3D super-resolution fetal brain MRI (SR) compared to 2D or 3D ultrasound (US) and clinical low-resolution T2-weighted MRI (T2WS).MethodFetal brain biometr
Externí odkaz:
https://doaj.org/article/f643bdb6d3bd43e6aa8a9b2e728771b3
Autor:
Hélène Lajous, Christopher W. Roy, Tom Hilbert, Priscille de Dumast, Sébastien Tourbier, Yasser Alemán-Gómez, Jérôme Yerly, Thomas Yu, Hamza Kebiri, Kelly Payette, Jean-Baptiste Ledoux, Reto Meuli, Patric Hagmann, Andras Jakab, Vincent Dunet, Mériam Koob, Tobias Kober, Matthias Stuber, Meritxell Bach Cuadra
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-21 (2022)
Abstract Accurate characterization of in utero human brain maturation is critical as it involves complex and interconnected structural and functional processes that may influence health later in life. Magnetic resonance imaging is a powerful tool to
Externí odkaz:
https://doaj.org/article/2189baa9fb98441596a6037fc254cb84
Autor:
Kelly Payette, Priscille de Dumast, Hamza Kebiri, Ivan Ezhov, Johannes C. Paetzold, Suprosanna Shit, Asim Iqbal, Romesa Khan, Raimund Kottke, Patrice Grehten, Hui Ji, Levente Lanczi, Marianna Nagy, Monika Beresova, Thi Dao Nguyen, Giancarlo Natalucci, Theofanis Karayannis, Bjoern Menze, Meritxell Bach Cuadra, Andras Jakab
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-14 (2021)
Measurement(s) regional part of brain • T2 (Observed)-Weighted Imaging Technology Type(s) Image Segmentation Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.fig
Externí odkaz:
https://doaj.org/article/955b4c4a372743dc811da7c038c1a140
Autor:
Hamza Kebiri, Erick J. Canales-Rodríguez, Hélène Lajous, Priscille de Dumast, Gabriel Girard, Yasser Alemán-Gómez, Mériam Koob, András Jakab, Meritxell Bach Cuadra
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
Fetal brain diffusion magnetic resonance images (MRI) are often acquired with a lower through-plane than in-plane resolution. This anisotropy is often overcome by classical upsampling methods such as linear or cubic interpolation. In this work, we em
Externí odkaz:
https://doaj.org/article/c6cbd614d5ac42b780e051da10b55abe
Autor:
Marie Khawam, Priscille de Dumast, Pierre Deman, Hamza Kebiri, Thomas Yu, Sébastien Tourbier, Hélène Lajous, Patric Hagmann, Philippe Maeder, Jean-Philippe Thiran, Reto Meuli, Vincent Dunet, Meritxell Bach Cuadra, Mériam Koob
Publikováno v:
Frontiers in Pediatrics, Vol 9 (2021)
We present the comparison of two-dimensional (2D) fetal brain biometry on magnetic resonance (MR) images using orthogonal 2D T2-weighted sequences (T2WSs) vs. one 3D super-resolution (SR) reconstructed volume and evaluation of the level of confidence
Externí odkaz:
https://doaj.org/article/1c092676361c43309642a8b604fcc73a
Autor:
Maycon Lázaro Pinheiro, Marília Yatabe, Marcos Ioshida, Luan Orlandi, Priscille de Dumast, Ivy Kiemle Trindade-Suedam
Publikováno v:
Journal of Applied Oral Science, Vol 26, Iss 0 (2018)
Abstract Objective: The aim of this study was to assess the accuracy of volumetric reconstruction of the pharynx by comparing the volume and minimum crosssectional area (mCSA) determined with open-source applications (ITK-Snap, www.itksnap.org ; Slic
Externí odkaz:
https://doaj.org/article/ece021edfad045c180b846b8e7e57eea
Autor:
Kelly Payette, Hongwei Bran Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Li Xuesong, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, Kuanlun Liao, Yixuan Wu, Jintai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern Menze, Meritxell Bach Cuadra, Andras Jakab
Publikováno v:
Medical Image Analysis. 88:102833
In-utero fetal MRI is emerging as an important tool in the diagnosis and analysis of the developing human brain. Automatic segmentation of the developing fetal brain is a vital step in the quantitative analysis of prenatal neurodevelopment both in th
Autor:
Hamza Kebiri, Erick J. Canales Rodríguez, Hélène Lajous, Priscille de Dumast, Gabriel Girard, Yasser Alemán-Gómez, Mériam Koob, András Jakab, Meritxell Bach Cuadra
Fetal brain diffusion magnetic resonance images are often acquired with a lower through-plane than in-plane resolution. This anisotropy is often overcome by classical upsampling methods such as linear or cubic interpolation. In this work, we employ a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f09af538c8ae869546052f273e82412d
https://doi.org/10.1101/2021.12.06.471406
https://doi.org/10.1101/2021.12.06.471406
Autor:
Jean-Baptiste Ledoux, Tobias Kober, Hélène Lajous, Tom Hilbert, Vincent Dunet, Sébastien Tourbier, Patric Hagmann, Reto Meuli, Meritxell Bach Cuadra, Yasser Alemán-Gómez, Matthias Stuber, Thomas Yu, Priscille de Dumast, Christopher W. Roy, Mériam Koob, Hamza Kebiri
Publikováno v:
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis ISBN: 9783030877347
UNSURE/PIPPI@MICCAI
UNSURE/PIPPI@MICCAI
Accurate characterization of in utero human brain maturation is critical as it involves complex interconnected structural and functional processes that may influence health later in life. Magnetic resonance imaging is a powerful tool complementary to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa8bbc78ce6f4f26a5415d91cd3f0a53
https://doi.org/10.1007/978-3-030-87735-4_15
https://doi.org/10.1007/978-3-030-87735-4_15
Autor:
Hamza Kebiri, Kelly Payette, Raimund Kottke, Ivan Ezhov, Hui Ji, Thi Dao Nguyen, Meritxell Bach Cuadra, Levente Lanczi, Bjoern H. Menze, Monika Béresová, Johannes C. Paetzold, Theofanis Karayannis, Priscille de Dumast, Giancarlo Natalucci, Andras Jakab, Patrice Grehten, Suprosanna Shit, Marianna Nagy, Romesa Khan, Asim Iqbal
Publikováno v:
Scientific data, vol. 8, no. 1, pp. 167
Scientific Data, Vol 8, Iss 1, Pp 1-14 (2021)
Scientific Data
Scientific Data, 8 (1)
Scientific Data, Vol 8, Iss 1, Pp 1-14 (2021)
Scientific Data
Scientific Data, 8 (1)
It is critical to quantitatively analyse the developing human fetal brain in order to fully understand neurodevelopment in both normal fetuses and those with congenital disorders. To facilitate this analysis, automatic multi-tissue fetal brain segmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9db87df37d60d97527e38b3c065d275