Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Daniel, Sobotka"'
Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data
Autor:
Daniel Sobotka, Michael Ebner, Ernst Schwartz, Karl-Heinz Nenning, Athena Taymourtash, Tom Vercauteren, Sebastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs, Roxane Licandro
Publikováno v:
NeuroImage, Vol 255, Iss , Pp 119213- (2022)
Motion correction is an essential preprocessing step in functional Magnetic Resonance Imaging (fMRI) of the fetal brain with the aim to remove artifacts caused by fetal movement and maternal breathing and consequently to suppress erroneous signal cor
Externí odkaz:
https://doaj.org/article/cf6da65791254f07b7dc353195cd417c
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:
Athena Taymourtash, Ernst Schwartz, Karl-Heinz Nenning, Daniel Sobotka, Roxane Licandro, Sarah Glatter, Mariana Cardoso Diogo, Polina Golland, Ellen Grant, Daniela Prayer, Gregor Kasprian, Georg Langs
Publikováno v:
Cerebral cortex (New York, N.Y. : 1991).
Measuring and understanding functional fetal brain development in utero is critical for the study of the developmental foundations of our cognitive abilities, possible early detection of disorders, and their prevention. Thalamocortical connections ar
Autor:
H. Prosch, Johannes Hofmanninger, Mario Zusag, Matthias Perkonigg, Roxane Licandro, Ulrike I. Attenberger, Georg Langs, Daniel Sobotka, Sebastian Röhrich
Publikováno v:
Der Radiologe. 60:6-14
Zusammenfassung Methodisches Problem Maschinelles Lernen (ML) nimmt zunehmend Einzug in die Radiologie, um Aufgaben wie die automatische Detektion und Segmentation von diagnoserelevanten Bildmerkmalen, die Charakterisierung von Krankheits- und Behand
Autor:
Karl-Heinz Nenning, Athena Taymourtash, M.C. Diogo, Gregor Kasprian, Daniela Prayer, Ernst Schwartz, Georg Langs, Daniel Sobotka
Publikováno v:
Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis ISBN: 9783030328740
SUSI/PIPPI@MICCAI
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
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis
SUSI/PIPPI@MICCAI
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
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis
Fetal functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful tool for investigating brain development in utero, holding promise for generating developmental disease biomarkers and supporting prenatal diagnosis. However, to date its cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::113edd07fd5b08acb3f136383b402b1b
http://arxiv.org/abs/2001.03739
http://arxiv.org/abs/2001.03739
Autor:
Georg, Langs, Ulrike, Attenberger, Roxane, Licandro, Johannes, Hofmanninger, Matthias, Perkonigg, Mario, Zusag, Sebastian, Röhrich, Daniel, Sobotka, Helmut, Prosch
Publikováno v:
Der Radiologe. 60(1)
Machine learning (ML) algorithms have an increasingly relevant role in radiology tackling tasks such as the automatic detection and segmentation of diagnosis-relevant markers, the quantification of progression and response, and their prediction in in
Autor:
Gregor Kasprian, Ernst Schwartz, Daniel Sobotka, Michael Ebner, Roxane Licandro, Tom Vercauteren, Georg Langs, Sebastien Ourselin, Daniela Prayer
Publikováno v:
Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis ISBN: 9783030328740
SUSI/PIPPI@MICCAI
SUSI/PIPPI@MICCAI
Preprocessing and motion correction are essential steps in resting state functional Magnetic Resonance Imaging (rs-fMRI) of the fetal brain. They aim to address the difficult task of removing artefacts caused by fetal movement or maternal breathing,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ce7ce9122103f300f90d86b5ff36b1e
https://doi.org/10.1007/978-3-030-32875-7_14
https://doi.org/10.1007/978-3-030-32875-7_14