Maria Deprez

Orcid: 0000-0002-2799-6077

Affiliations:
  • King's College London, UK


According to our database1, Maria Deprez authored at least 60 papers between 2006 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models.
BMC Medical Imaging, December, 2024

2023
Fetal MRI by Robust Deep Generative Prior Reconstruction and Diffeomorphic Registration.
IEEE Trans. Medical Imaging, March, 2023

Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI.
CoRR, 2023

Combined Quantitative T2* Map and Structural T2-Weighted Tissue-Specific Analysis for Fetal Brain MRI: Pilot Automated Pipeline.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 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

An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Synthesising Brain Iron Maps from Quantitative Magnetic Resonance Images Using Interpretable Generative Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

Quantitative T2 Relaxometry in Fetal Brain: Validation Using Modified FaBiaN Fetal Brain MRI Simulator.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

2022
Predicting age and clinical risk from the neonatal connectome.
NeuroImage, 2022

Automated 3D reconstruction of the fetal thorax in the standard atlas space from motion-corrupted MRI stacks for 21-36 weeks GA range.
Medical Image Anal., 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

Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

2021
Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI.
NeuroImage, 2021

Fetal MRI by robust deep generative prior reconstruction and diffeomorphic registration: application to gestational age prediction.
CoRR, 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

Uncertainty-Aware Deep Learning Based Deformable Registration.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2020
Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI.
IEEE Trans. Medical Imaging, 2020

Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction.
IEEE Trans. Medical Imaging, 2020

Multi-channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain.
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020

Diffusion Tensor Driven Image Registration: A Deep Learning Approach.
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020

Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Harmonised Segmentation of Neonatal Brain MRI: A Domain Adaptation Approach.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

2019
Learning Compact ${q}$ -Space Representations for Multi-Shell Diffusion-Weighted MRI.
IEEE Trans. Medical Imaging, 2019

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

Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

2018
Distortion Correction in Fetal EPI Using Non-Rigid Registration With a Laplacian Constraint.
IEEE Trans. Medical Imaging, 2018

Slice-level diffusion encoding for motion and distortion correction.
Medical Image Anal., 2018

2017
PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI.
IEEE Trans. Medical Imaging, 2017

Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
High-Performance Motion Correction of Fetal MRI.
Proceedings of the 4th EuroVis Workshop on Reproducibility, 2016

Regression analysis for assessment of myelination status in preterm brains with magnetic resonance imaging.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Distortion correction in fetal EPI using non-rigid registration with Laplacian constraint.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices.
IEEE Trans. Medical Imaging, 2015

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

Adaptive scan strategies for fetal MRI imaging using slice to volume techniques.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

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

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

A 4D neonatal head model for diffuse optical imaging of pre-term to term infants.
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

Motion Corrected 3D Reconstruction of the Fetal Thorax from Prenatal MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Registration of 3D fetal neurosonography and MRI.
Medical Image Anal., 2013

2012
Reconstruction of fetal brain MRI with intensity matching and complete outlier removal.
Medical Image Anal., 2012

Registration of 3D Fetal Brain US and MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Towards 3D registration of fetal brain MRI and ultrasound.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping.
IEEE Trans. Medical Imaging, 2011

A dynamic 4D probabilistic atlas of the developing brain.
NeuroImage, 2011

Brain Extraction Methods for Neonates.
Proceedings of the Medical Image Understanding and Analysis, 2011

2010
Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies.
Proceedings of the Biomedical Image Registration, 4th International Workshop, 2010

Combining Morphological Information in a Manifold Learning Framework: Application to Neonatal MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Simultaneous Reconstruction of 4-D Myocardial Motion from Both Tagged and Untagged MR Images Using Nonrigid Image Registration.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

Construction of a dynamic 4D probabilistic atlas for the developing brain.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Robust Segmentation of Brain Structures in MRI.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Assessment of brain growth in early childhood using deformation-based morphometry.
NeuroImage, 2008

2007
Robust segmentation of brain MRI using combination of registration and EM-based methods.
Proceedings of the 23rd Spring Conference on Computer Graphics, 2007

Quantifying brain development in early childhood using segmentation and registration.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

Groupwise Combined Segmentation and Registration for Atlas Construction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

2006
Segmentation of Brain MRI in Young Children.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006


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