Priscille de Dumast

Orcid: 0000-0003-0359-9365

According to our database1, Priscille de Dumast authored at least 14 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Fetal brain tissue annotation and segmentation challenge results.
Medical Image Anal., August, 2023

Simulation-Based Parameter Optimization for Fetal Brain MRI Super-Resolution Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Domain Generalization in Fetal Brain MRI Segmentation with Multi-Reconstruction Augmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Fetal Brain Tissue Annotation and Segmentation Challenge Results.
CoRR, 2022

Synthetic Magnetic Resonance Images for Domain Adaptation: Application to Fetal Brain Tissue Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
4D iterative reconstruction of brain fMRI in the moving fetus.
CoRR, 2021

FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom.
CoRR, 2021

Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution Reconstruction.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Segmentation of the Cortical Plate in Fetal Brain MRI with a Topological Loss.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2020
A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset.
CoRR, 2020

T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Shape variation analyzer: a classifier for temporomandibular joint damaged by osteoarthritis.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018
A web-based system for neural network based classification in temporomandibular joint osteoarthritis.
Comput. Medical Imaging Graph., 2018

SVA: shape variation analyzer.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018


  Loading...