标题
BEAN: Brain Extraction and Alignment Network for 3D Fetal Neurosonography
作者
关键词
Fetal brain development, Convolutional neural network, Deep learning, 3D ultrasound, Brain extraction, Brain alignment
出版物
NEUROIMAGE
Volume -, Issue -, Pages 119341
出版商
Elsevier BV
发表日期
2022-05-31
DOI
10.1016/j.neuroimage.2022.119341
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- ISUOG Practice Guidelines (updated): sonographic examination of the fetal central nervous system. Part 2: performance of targeted neurosonography
- (2021) D. Paladini et al. ULTRASOUND IN OBSTETRICS & GYNECOLOGY
- SciPy 1.0: fundamental algorithms for scientific computing in Python
- (2020) Pauli Virtanen et al. NATURE METHODS
- Array programming with NumPy
- (2020) Charles R. Harris et al. NATURE
- 3D whole brain segmentation using spatially localized atlas network tiles
- (2019) Yuankai Huo et al. NEUROIMAGE
- Automated brain extraction of multisequence MRI using artificial neural networks
- (2019) Fabian Isensee et al. HUMAN BRAIN MAPPING
- An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI
- (2019) Michael Ebner et al. NEUROIMAGE
- Prenatal diagnosis of brainstem anomalies
- (2018) Karina Krajden Haratz et al. EUROPEAN JOURNAL OF PAEDIATRIC NEUROLOGY
- 3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images
- (2018) Benjamin Hou et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning
- (2018) Ana I.L. Namburete et al. MEDICAL IMAGE ANALYSIS
- A review on automatic fetal and neonatal brain MRI segmentation
- (2018) Antonios Makropoulos et al. NEUROIMAGE
- Brain extraction from normal and pathological images: A joint PCA/Image-Reconstruction approach
- (2018) Xu Han et al. NEUROIMAGE
- Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects
- (2018) Jordina Torrents-Barrena et al. MEDICAL IMAGE ANALYSIS
- SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound
- (2017) Christian F. Baumgartner et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging
- (2017) Seyed Sadegh Mohseni Salehi et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks
- (2017) Martin Rajchl et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Automated template-based brain localization and extraction for fetal brain MRI reconstruction
- (2017) Sébastien Tourbier et al. NEUROIMAGE
- A Deep Learning Solution for Automatic Fetal Neurosonographic Diagnostic Plane Verification Using Clinical Standard Constraints
- (2017) Mohammad Yaqub et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- ISUOG Practice Guidelines: performance of fetal magnetic resonance imaging
- (2017) D. Prayer et al. ULTRASOUND IN OBSTETRICS & GYNECOLOGY
- Three-Dimensional Sonographic Evaluations of Embryonic Brain Development
- (2017) Mi Suk Kim et al. JOURNAL OF ULTRASOUND IN MEDICINE
- A normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth
- (2017) Ali Gholipour et al. Scientific Reports
- A CNN Regression Approach for Real-Time 2D/3D Registration
- (2016) Shun Miao et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Association Between MRI Exposure During Pregnancy and Fetal and Childhood Outcomes
- (2016) Joel G. Ray et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Deep MRI brain extraction: A 3D convolutional neural network for skull stripping
- (2016) Jens Kleesiek et al. NEUROIMAGE
- Learning-based prediction of gestational age from ultrasound images of the fetal brain
- (2015) Ana I.L. Namburete et al. MEDICAL IMAGE ANALYSIS
- Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks
- (2015) Hao Chen et al. IEEE Journal of Biomedical and Health Informatics
- International standards for fetal growth based on serial ultrasound measurements: the Fetal Growth Longitudinal Study of the INTERGROWTH-21st Project
- (2014) Aris T Papageorghiou et al. LANCET
- Automatic quantification of normal cortical folding patterns from fetal brain MRI
- (2014) R. Wright et al. NEUROIMAGE
- Automated fetal brain segmentation from 2D MRI slices for motion correction
- (2014) K. Keraudren et al. NEUROIMAGE
- The objectives, design and implementation of the INTERGROWTH-21stProject
- (2013) J Villar et al. BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY
- Automatic segmentation of the fetal cerebellum on ultrasound volumes, using a 3D statistical shape model
- (2013) Benjamín Gutiérrez-Becker et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Registration of 3D fetal neurosonography and MRI
- (2013) Maria Kuklisova-Murgasova et al. MEDICAL IMAGE ANALYSIS
- Multi-atlas multi-shape segmentation of fetal brain MRI for volumetric and morphometric analysis of ventriculomegaly
- (2012) Ali Gholipour et al. NEUROIMAGE
- Registration-Based Segmentation of Three-Dimensional Ultrasound Images for Quantitative Measurement of Fetal Craniofacial Structure
- (2012) Hsin-Chen Chen et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- Mapping Fetal Brain Development In Utero Using Magnetic Resonance Imaging: The Big Bang of Brain Mapping
- (2011) Colin Studholme Annual Review of Biomedical Engineering
- BEaST: Brain extraction based on nonlocal segmentation technique
- (2011) Simon F. Eskildsen et al. NEUROIMAGE
- FSL
- (2011) Mark Jenkinson et al. NEUROIMAGE
- Evaluation of volume-based and surface-based brain image registration methods
- (2010) Arno Klein et al. NEUROIMAGE
- A spatiotemporal atlas of MR intensity, tissue probability and shape of the fetal brain with application to segmentation
- (2010) Piotr A. Habas et al. NEUROIMAGE
- Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
- (2009) Arno Klein et al. NEUROIMAGE
- Three-dimensional ultrasound imaging
- (2009) R W Prager et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE
- Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree
- (2008) G. Carneiro et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now