Robust regression of brain maturation from 3D fetal neurosonography using CRNs

Robust regression of brain maturation from 3D fetal neurosonography using CRNs

We propose a fully three-dimensional Convolutional Regression Network (CRN) for the task of predicting fetal brain maturation from 3D ultrasound (US) data. Anatomical development is modelled as the sonographic patterns visible in the brain at a given gestational age, which are aggregated by the mode...

Descripció completa

Dades bibliogràfiques
Autors principals:	Namburete, A, Xie, W, Noble, J
Format:	Conference item
Publicat:	Springer, Cham 2017

Ítems similars

BEAN: brain extraction and alignment network for 3D fetal neurosonography
per: Moser, F, et al.
Publicat: (2022)

BEAN: Brain Extraction and Alignment Network for 3D Fetal Neurosonography
per: Felipe Moser, et al.
Publicat: (2022-09-01)

VP-Nets : Efficient automatic localization of key brain structures in 3D fetal neurosonography
per: Huang, R, et al.
Publicat: (2018)

Registration of 3D fetal neurosonography and MRI.
per: Kuklisova-Murgasova, M, et al.
Publicat: (2013)

Plane Localization in 3-D Fetal Neurosonography for Longitudinal Analysis of the Developing Brain
per: Yaqub, M, et al.
Publicat: (2015)

Learning to segment key clinical anatomical structures in fetal neurosonography informed by a region-based descriptor
per: Huang, R, et al.
Publicat: (2018)

Data for paper 'Learning to segment key clinical anatomical structures in fetal neurosonography informed by a region-based descriptor'
per: Huang, R, et al.
Publicat: (2018)

First-trimester 3D fetal neurosonography: five standardised views
per: Fred Ushakov, et al.
Publicat: (2024-12-01)

Delving deep into fetal neurosonography: an image analysis approach
per: Huang, R
Publicat: (2017)

Tracking of Brain Tumors using Vision and Neurosonography
per: Rubén Machucho Cadena, et al.
Publicat: (2010-01-01)

Role of Neurosonography in evaluation of brain abnormalities in neonates
per: P Vishwanath Reddy
Publicat: (2021-07-01)

Multi-task CNN for structural semantic segmentation in 3D fetal brain ultrasound
per: Venturini, L, et al.
Publicat: (2020)

Simulating realistic fetal neurosonography images with appearance and growth change using cycle-consistent adversarial networks and an evaluation
per: Xu, Y, et al.
Publicat: (2020)

Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning.
per: Namburete, AIL, et al.
Publicat: (2018)

Neonatal neurosonography: A pictorial essay
per: Venkatraman Bhat, et al.
Publicat: (2014-11-01)

MODERN INTRAOPERATIVE NEUROSONOGRAPHY IN THE CONTEXT OF RADICALITY AND SAFE REMOVAL OF BRAIN TUMORS
per: S. M Safin, et al.
Publicat: (2017-07-01)

Self-supervised ultrasound to MRI fetal brain image synthesis
per: Jiao, J, et al.
Publicat: (2020)

Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning
per: Hesse, LS, et al.
Publicat: (2022)

Comparing the Diagnostic Yield of Antenatal Fetal Ultrasound, Neurosonography, and MRI for Detecting CNS Anomalies: A Prospective Study
per: Behnaz Moradi, et al.
Publicat: (2024-01-01)

Machine learning to assess the fetal brain from ultrasound images
per: Namburete, A
Publicat: (2015)

Intraoperative neurosonography revisited: effective neuronavigation in pediatric neurosurgery
per: Jung-Eun Cheon
Publicat: (2015-04-01)

Partially Cooperative RL for Hybrid Action CRNs With Imperfect CSI
per: Sadia Khaf, et al.
Publicat: (2024-01-01)

Trade-Offs among Sensing, Reporting, and Transmission in Cooperative CRNs
per: Xiaoying Liu, et al.
Publicat: (2022-06-01)

Exploration of Singular Spectrum Analysis for Online Anomaly Detection in CRNs
per: Qi Dong, et al.
Publicat: (2017-12-01)

Neurosonography: Shaping the future of neuroprotection strategies in extremely preterm infants
per: Lukun Tang, et al.
Publicat: (2024-06-01)

Maturity framework and select approaches for developing Coordinated Registry Networks (CRNs): Medical Device Epidemiology Network (MDEpiNet) supplement
per: Art Sedrakyan, et al.
Publicat: (2022-11-01)

Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning
per: Linde S. Hesse, et al.
Publicat: (2022-07-01)

Energy Efficiency Maximization with Optimal Beamforming in Secure MISO CRNs with SWIPT
per: Liang Xue, et al.
Publicat: (2021-01-01)

A Services Routing Based Caching Scheme for Cloud Assisted CRNs
per: Mingfeng Huang, et al.
Publicat: (2018-01-01)

Automated fetal brain extraction from clinical ultrasound volumes using 3D convolutional neural networks
per: Moser, F, et al.
Publicat: (2020)

Learning-based prediction of gestational age from ultrasound images of the fetal brain
per: Namburete, A, et al.
Publicat: (2015)

Feasibility of neurosonography in CHD-fetuses and controls in a clinical tertiary setting
per: Sheila M. Everwijn, et al.
Publicat: (2024-03-01)

Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years
per: Namburete, AIL, et al.
Publicat: (2023)

Cortical plate segmentation using CNNs in 3D fetal ultrasound
per: Wyburd, MK, et al.
Publicat: (2020)

Early Detection of Central Nervous System Abnormalities by Neurosonography in Critically Ill Neonates
per: Amar Taksande, et al.
Publicat: (2021-10-01)

Anatomy-aware self-supervised fetal MRI synthesis from unpaired ultrasound images
per: Jiao, J, et al.
Publicat: (2019)

Determining value of Coordinated Registry Networks (CRNs): a case of transcatheter valve therapies
per: Michael Mack, et al.
Publicat: (2019-07-01)

Performance Analysis of a Communication Failure and Repair Mechanism with Classified Primary Users in CRNs
per: Yuan Zhao, et al.
Publicat: (2024-08-01)

A communication failure and repair mechanism with adjustable transmission rates for PU packets in CRNs
per: Yuan Zhao, et al.
Publicat: (2023-02-01)

Outage-Constrained Secrecy Energy Efficiency Optimization for CRNs With Non-Linear Energy Harvesting
per: Lei Ni, et al.
Publicat: (2019-01-01)