Vanessa Kyriakopoulou

Orcid: 0000-0002-9883-0314

According to our database1, Vanessa Kyriakopoulou authored at least 15 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains.
CoRR, 2024

2023
A Deep Learning Approach for Segmenting the Subplate and Proliferative Zones in Fetal Brain MRI.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Robust Segmentation via Topology Violation Detection and Feature Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 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
Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected 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
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

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

Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

2014
Automatic quantification of normal cortical folding patterns from fetal brain MRI.
NeuroImage, 2014

Automated fetal brain segmentation from 2D MRI slices for motion correction.
NeuroImage, 2014

Graph-Based Label Propagation in Fetal Brain MR Images.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Fast fully automatic brain detection in fetal MRI using dense rotation invariant image descriptors.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Localisation of the Brain in Fetal MRI Using Bundled SIFT Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013


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