Cortical plate segmentation using CNNs in 3D fetal ultrasound

Cortical plate segmentation using CNNs in 3D fetal ultrasound

As the fetal brain develops, its surface undergoes rapid changes in shape and morphology. Variations in the emergence of the sulci on the brain surface have commonly been associated with diseased or at-risk pregnancies. Therefore, the process of surface folding is an important biomarker to character...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид:	Wyburd, MK, Jenkinson, M, Namburete, AIL
Формат:	Conference item
Хэл сонгох:	English
Хэвлэсэн:	Springer 2020

Ижил төстэй зүйлс

Assessment of regional cortical development through fissure based gestational age estimation in 3D fetal ultrasound
-н: Wyburd, MK, зэрэг
Хэвлэсэн: (2021)

Segmentation of fetal adipose tissue using efficient CNNs for portable ultrasound
-н: Vaze, S, зэрэг
Хэвлэсэн: (2018)

Anatomically plausible segmentations: explicitly preserving topology through prior deformations
-н: Wyburd, MK, зэрэг
Хэвлэсэн: (2024)

TEDS-Net: enforcing diffeomorphisms in spatial transformers to guarantee topology preservation in segmentations
-н: Wyburd, MK, зэрэг
Хэвлэсэн: (2021)

Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning
-н: Hesse, LS, зэрэг
Хэвлэсэн: (2022)

Multi-task CNN for structural semantic segmentation in 3D fetal brain ultrasound
-н: Venturini, L, зэрэг
Хэвлэсэн: (2020)

Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning
-н: Linde S. Hesse, зэрэг
Хэвлэсэн: (2022-07-01)

Automated fetal brain extraction from clinical ultrasound volumes using 3D convolutional neural networks
-н: Moser, F, зэрэг
Хэвлэсэн: (2020)

Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning.
-н: Namburete, AIL, зэрэг
Хэвлэсэн: (2018)

Self-supervised ultrasound to MRI fetal brain image synthesis
-н: Jiao, J, зэрэг
Хэвлэсэн: (2020)

Unlearning scanner bias for MRI harmonisation in medical image segmentation
-н: Dinsdale, NK, зэрэг
Хэвлэсэн: (2020)

STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation
-н: Dinsdale, NK, зэрэг
Хэвлэсэн: (2022)

BEAN: brain extraction and alignment network for 3D fetal neurosonography
-н: Moser, F, зэрэг
Хэвлэсэн: (2022)

Anatomy-aware self-supervised fetal MRI synthesis from unpaired ultrasound images
-н: Jiao, J, зэрэг
Хэвлэсэн: (2019)

Preserving known anatomical topology in medical image segmentation using deep learning
-н: Wyburd, MK
Хэвлэсэн: (2022)

Spatial warping network for 3D segmentation of the hippocampus in MR images
-н: Dinsdale, N, зэрэг
Хэвлэсэн: (2019)

Learning to map 2D ultrasound images into 3D space with minimal human annotation
-н: Yeung, P-H, зэрэг
Хэвлэсэн: (2021)

Fetal Cortical Plate Segmentation Using Fully Convolutional Networks With Multiple Plane Aggregation
-н: Jinwoo Hong, зэрэг
Хэвлэсэн: (2020-12-01)

Machine learning to assess the fetal brain from ultrasound images
-н: Namburete, A
Хэвлэсэн: (2015)

3D Liver and Tumor Segmentation with CNNs Based on Region and Distance Metrics
-н: Yi Zhang, зэрэг
Хэвлэсэн: (2020-05-01)

Unlearning scanner bias for MRI harmonisation
-н: Dinsdale, NK, зэрэг
Хэвлэсэн: (2020)

Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal.
-н: Dinsdale, NK, зэрэг
Хэвлэсэн: (2020)

SFHarmony: source free domain adaptation for distributed neuroimaging analysis
-н: Dinsdale, NK, зэрэг
Хэвлэсэн: (2024)

BOOTSTRAPPED CNNS FOR BUILDING SEGMENTATION ON RGB-D AERIAL IMAGERY
-н: C. Sebastian, зэрэг
Хэвлэсэн: (2018-09-01)

Computational methods for quantifying in vivo muscle fascicle curvature from ultrasound images
-н: Namburete, AIL, зэрэг
Хэвлэсэн: (2011)

Fetal Cortical Abnormalities Identified on Ultrasound
-н: Mara Rosner, зэрэг
Хэвлэсэн: (2024-10-01)

SEMANTIC SEGMENTATION OF AERIAL IMAGES WITH AN ENSEMBLE OF CNNS
-н: D. Marmanis, зэрэг
Хэвлэсэн: (2016-06-01)

EXPLORING ALS AND DIM DATA FOR SEMANTIC SEGMENTATION USING CNNS
-н: F. Politz, зэрэг
Хэвлэсэн: (2018-09-01)

An Adaptive CNNs Technology for Robust Iris Segmentation
-н: Ying Chen, зэрэг
Хэвлэсэн: (2019-01-01)

Abdomen segmentation in 3D fetal ultrasound using CNN-powered deformable models
-н: Schmidt-Richberg, A, зэрэг
Хэвлэсэн: (2017)

Robust regression of brain maturation from 3D fetal neurosonography using CRNs
-н: Namburete, A, зэрэг
Хэвлэсэн: (2017)

Predicting fetal neurodevelopmental age from ultrasound images
-н: Namburete, A, зэрэг
Хэвлэсэн: (2014)

The impact of transfer learning on 3D deep learning convolutional neural network segmentation of the hippocampus in mild cognitive impairment and Alzheimer disease subjects
-н: Balboni, E, зэрэг
Хэвлэсэн: (2022)

License Plate Detection with Shallow and Deep CNNs in Complex Environments
-н: Li Zou, зэрэг
Хэвлэсэн: (2018-01-01)

Volumetric Object Recognition Using 3-D CNNs on Depth Data
-н: Ali Caglayan, зэрэг
Хэвлэсэн: (2018-01-01)

Context-aware fusion of transformers and CNNs for medical image segmentation
-н: Davood Sotoude, зэрэг
Хэвлэсэн: (2023-01-01)

Multiple Sclerosis Lesions Segmentation Using Attention-Based CNNs in FLAIR Images
-н: Mehdi Sadeghibakhi, зэрэг
Хэвлэсэн: (2022-01-01)

Multi-channel groupwise registration to construct an ultrasound-specific fetal brain atlas
-н: Namburete, A, зэрэг
Хэвлэсэн: (2018)

Learning to segment key clinical anatomical structures in fetal neurosonography informed by a region-based descriptor
-н: Huang, R, зэрэг
Хэвлэсэн: (2018)

The use of 3D ultrasound to investigate fetal bone development
-н: Keith M. Godfrey, зэрэг
Хэвлэсэн: (2009-01-01)