Antonios Makropoulos

According to our database1, Antonios Makropoulos authored at least 28 papers between 2012 and 2022.

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Bibliography

2022
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI.
CoRR, 2022

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints.
Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022

2021
Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning.
npj Digit. Medicine, 2021

Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age.
NeuroImage, 2021

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2020
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.
NeuroImage, 2020

A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

2019
Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI <i>in vivo</i>.
NeuroImage, 2019

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project.
NeuroImage, 2019

2018
Multimodal surface matching with higher-order smoothness constraints.
NeuroImage, 2018

The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction.
NeuroImage, 2018

A review on automatic fetal and neonatal brain MRI segmentation.
NeuroImage, 2018

Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project.
NeuroImage, 2018

Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex.
NeuroImage, 2018

AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System.
Frontiers Neuroinformatics, 2017

A deformable model for the reconstruction of the neonatal cortex.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Regional growth and atlasing of the developing human brain.
NeuroImage, 2016

2015
Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching.
NeuroImage, 2015

Robust whole-brain segmentation: Application to traumatic brain injury.
Medical Image Anal., 2015

Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge.
Medical Image Anal., 2015

2014
Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain.
IEEE Trans. Medical Imaging, 2014

Resting State fMRI in the moving fetus: A robust framework for motion, bias field and spin history correction.
NeuroImage, 2014

Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014

Consistent and robust 4D whole-brain segmentation: Application to traumatic brain injury.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2012
Regional changes in thalamic shape and volume with increasing age.
NeuroImage, 2012

Unsupervised Learning of Shape Complexity: Application to Brain Development.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012


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