Convex optimization algorithms in medical image reconstruction—in the age of AI

J Xu, F Noo - Physics in Medicine & Biology, 2022 - iopscience.iop.org
The past decade has seen the rapid growth of model based image reconstruction (MBIR)
algorithms, which are often applications or adaptations of convex optimization algorithms …

Emerging magnetic resonance imaging techniques in open spina bifida in utero

A Jakab, K Payette, L Mazzone, S Schauer… - European radiology …, 2021 - Springer
Magnetic resonance imaging (MRI) has become an essential diagnostic modality for
congenital disorders of the central nervous system. Recent advancements have transformed …

Fetal development of functional thalamocortical and cortico–cortical connectivity

A Taymourtash, E Schwartz, KH Nenning… - Cerebral …, 2023 - academic.oup.com
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 …

Interactive translation in echocardiography training system with enhanced cycle-GAN

L Teng, Z Fu, Y Yao - IEEE access, 2020 - ieeexplore.ieee.org
Interactive translation in echocardiography training system refers to the pixel-wise
translation between ultrasound cardiac and theoretical sketch images in the course of hand …

Review of Generative Adversarial Networks in mono-and cross-modal biomedical image registration

T Han, J Wu, W Luo, H Wang, Z Jin… - Frontiers in …, 2022 - frontiersin.org
Biomedical image registration refers to aligning corresponding anatomical structures among
different images, which is critical to many tasks, such as brain atlas building, tumor growth …

Predicting risk of preterm birth in singleton pregnancies using machine learning algorithms

QY Yu, Y Lin, YR Zhou, XJ Yang, J Hemelaar - Frontiers in big Data, 2024 - frontiersin.org
We aimed to develop, train, and validate machine learning models for predicting preterm
birth (< 37 weeks' gestation) in singleton pregnancies at different gestational intervals …

An alternately optimized generative adversarial network with texture and content constraints for deformable registration of 3D ultrasound images

J Zhang, T Fu, Y Wang, J Li, D Xiao, J Fan… - Physics in Medicine …, 2023 - iopscience.iop.org
Objective. 3D ultrasound non-rigid registration is significant for intraoperative motion
compensation. Nevertheless, distorted textures in the registered image due to the poor …

Development of the Functional Connectome Topology in Adolescence: Evidence from Topological Data Analysis

Z Gracia-Tabuenca, JC Díaz-Patiño, I Arelio-Ríos… - Eneuro, 2023 - eneuro.org
Adolescence is a crucial developmental period in terms of behavior and mental health.
Therefore, understanding how the brain develops during this stage is a fundamental …

The developing Human Connectome Project fetal functional MRI release: Methods and data structures

VR Karolis, L Cordero-Grande, A Price, E Hughes… - bioRxiv, 2024 - biorxiv.org
Recent advances in fetal fMRI present a new opportunity for neuroscience to study
functional human brain connectivity at the time of its emergence. Progress in the field …

3D ultrasound guided navigation system with hybrid image fusion

D Iommi, A Valladares, M Figl, M Grahovac… - Scientific Reports, 2021 - nature.com
A prototype of a navigation system to fuse two image modalities is presented. The standard
inter-modality registration is replaced with a tracker-based image registration of calibrated …