Quantification of fetal brain development from ultrasound images using interpretable deep learning

Quantification of fetal brain development from ultrasound images using interpretable deep learning

<p>Ultrasound images of the fetal brain are routinely acquired during pregnancy to assess the health and development of the fetus. It is standard clinical practice to obtain simple in-plane measurements in 2D images that can not capture the complex structural development of the fetal brain dur...

Deskribapen osoa

Xehetasun bibliografikoak
Egile nagusia:	Hesse, LS
Beste egile batzuk:	Namburete, A
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	2023
Gaiak:	Fetus > ultrasonic imaging Deep learning (machine learning)

Antzeko izenburuak

Delving deep into fetal ultrasound video analysis
nork: Patra, A
Argitaratua: (2020)

Ultrasound of fetal syndromes /
nork: 489424 Benacerraf, Beryl R.
Argitaratua: (c200)

Deep learning techniques to bridge the gap between 2D and 3D ultrasound imaging
nork: Yeung, PH
Argitaratua: (2022)

Advancing ultrasound image analysis by capturing operator gaze patterns
nork: Droste, R
Argitaratua: (2021)

Ultrasound of fetal syndromes [electronic resource] /
nork: 489424 Benacerraf, Beryl R.
Argitaratua: (c200)

The use of machine learning in obstetric ultrasound: a mixed methods study examining clinical value and acceptability
nork: Bradburn, EH
Argitaratua: (2023)

Ultrasound segmentation tools and their application to assess fetal nutritional health
nork: Rackham, T
Argitaratua: (2015)

Fetal Brain Pathology: A Comparison of MR Imaging and Ultrasound Screening
nork: Apostolos Athanasiadis, et al.
Argitaratua: (2009-08-01)

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

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

AI driven interpretable deep learning based fetal health classification
nork: Gazala Mushtaq, et al.
Argitaratua: (2024-12-01)

Prospects of deep learning for medical imaging
nork: Jonghoon Kim, et al.
Argitaratua: (2018-06-01)

Ultrasound Versus Elastography in the Diagnosis of Hepatic Steatosis: Evaluation of Traditional Machine Learning Versus Deep Learning
nork: Rodrigo Marques, et al.
Argitaratua: (2024-11-01)

Automatic Measurement of Frontomaxillary Facial Angle in Fetal Ultrasound Images Using Deep Learning
nork: Zhonghua Liu, et al.
Argitaratua: (2025-01-01)

Atlas of fetal anomalies /
nork: 297099 Kurjak, Asim, et al.
Argitaratua: (2008)

Performance Analysis of Machine Learning and Deep Learning Architectures on Early Stroke Detection Using Carotid Artery Ultrasound Images
nork: S. Latha, et al.
Argitaratua: (2022-01-01)

The Role of Fetal Brain Magnetic Resonance Imaging in Current Fetal Medicine
nork: Michael Aertsen
Argitaratua: (2022-12-01)

Grading of Metacarpophalangeal Rheumatoid Arthritis on Ultrasound Images Using Machine Learning Algorithms
nork: Tengfei Yang, et al.
Argitaratua: (2020-01-01)

Generating textual captions for ultrasound visuals in an automated fashion
nork: Alsharid, M
Argitaratua: (2021)

Aurora Image Classification with Deep Metric Learning
nork: Takeru Endo, et al.
Argitaratua: (2022-09-01)

MR Images, Brain Lesions, and Deep Learning
nork: Darwin Castillo, et al.
Argitaratua: (2021-02-01)

To investigate the correlation between normal fetal biventricular myocardial function and gestational age using velocity vector imaging
nork: Min Hou, et al.
Argitaratua: (2023-03-01)

Fetal and neonatal pathology /
nork: 316089 Keeling, Jean W, et al.
Argitaratua: (2007)

Ultrasound assessment of fetal biometry in Iranian normal pregnancies
nork: Mahboobeh Shirazi, et al.
Argitaratua: (2019-01-01)

Editorial: Machine learning methods for human brain imaging
nork: Fatos Tunay Yarman Vural, et al.
Argitaratua: (2023-02-01)

Medical image analysis for simplified ultrasound protocols
nork: Gleed, AD
Argitaratua: (2023)

Sectional anatomy of the fetal brain in uterus at term on the sagittal plane
nork: Fan-Zhen Kong, et al.
Argitaratua: (2011-06-01)

A survey on deep learning in medical image reconstruction
nork: Emmanuel Ahishakiye, et al.
Argitaratua: (2021-09-01)

Assessing microscope image focus quality with deep learning
nork: Samuel J. Yang, et al.
Argitaratua: (2018-03-01)

Deep Learning-Based Multiclass Brain Tissue Segmentation in Fetal MRIs
nork: Xiaona Huang, et al.
Argitaratua: (2023-01-01)

Meta-Learning Frameworks for Imaging Applications /
nork: Sharma, Ashok, 1977-, editor 319639, et al.
Argitaratua: (2023)

A deep learning framework for identifying and segmenting three vessels in fetal heart ultrasound images
nork: Laifa Yan, et al.
Argitaratua: (2024-04-01)

Deep Learning-Based Methodology for Recognition of Fetal Brain Standard Scan Planes in 2D Ultrasound Images
nork: Ruowei Qu, et al.
Argitaratua: (2020-01-01)

Enhancing Fetal Anomaly Detection in Ultrasonography Images: A Review of Machine Learning-Based Approaches
nork: Ramin Yousefpour Shahrivar, et al.
Argitaratua: (2023-11-01)

Ultrasound teaching manual : the basics of performing and interpreting ultrasound scans /
nork: 517144 Hofer, Matthias
Argitaratua: (2013)

Medical Ultrasound Image Segmentation With Deep Learning Models
nork: Chuantao Wang, et al.
Argitaratua: (2023-01-01)

Advances in diagnostic and therapeutic ultrasound imaging /
nork: Suri, Jasjit S.
Argitaratua: (2008)

Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review
nork: Alberto Signoroni, et al.
Argitaratua: (2019-05-01)

Medical image analysis using deep learning algorithms
nork: Mengfang Li, et al.
Argitaratua: (2023-11-01)

Deep neural network architectures for cardiac image segmentation
nork: Jasmine El-Taraboulsi, et al.
Argitaratua: (2023-12-01)