Thomas Sanchez

Orcid: 0000-0003-3668-5155

According to our database1, Thomas Sanchez authored at least 23 papers between 2016 and 2026.

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

2026
Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challenge.
Medical Image Anal., 2026

2025
Causal Attribution of Model Performance Gaps in Medical Imaging Under Distribution Shifts.
CoRR, December, 2025

Accounting for Underspecification in Statistical Claims of Model Superiority.
CoRR, November, 2025

T2 mapping at 0.55 T using Ultra-Fast Spin Echo MRI.
CoRR, October, 2025

Meta-learning Slice-to-Volume Reconstruction in Fetal Brain MRI using Implicit Neural Representations.
CoRR, May, 2025

Segmenting Infant Brains Across Magnetic Fields: Domain Randomization and Annotation Curation in Ultra-low Field MRI.
Proceedings of the Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance, 2025

Automatic Quality Control in Multi-centric Fetal Brain MRI Super-Resolution Reconstruction.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2025

Enhancing Corpus Callosum Segmentation in Fetal MRI via Pathology-Informed Domain Randomization.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2025

Physics-Informed Joint Multi-TE Super-Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2025

2024
FetMRQC: A robust quality control system for multi-centric fetal brain MRI.
Medical Image Anal., 2024

Maximizing domain generalization in fetal brain tissue segmentation: the role of synthetic data generation, intensity clustering and real image fine-tuning.
CoRR, 2024

Improving Cross-Domain Brain Tissue Segmentation in Fetal MRI with Synthetic Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Assessing Data Quality on Fetal Brain MRI Reconstruction: A Multi-site and Multi-rater Study.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2024

2023
Learning to sample in Cartesian MRI.
CoRR, 2023

FetMRQC: an open-source machine learning framework for multi-centric fetal brain MRI quality control.
CoRR, 2023

FetMRQC: Automated Quality Control for Fetal Brain MRI.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 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

2022
Learning to sample in Cartesian MRI.
PhD thesis, 2022

2021
A Plug-and-Play Deep Image Prior.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI.
CoRR, 2019

Rethinking Sampling in Parallel MRI: A Data-Driven Approach.
Proceedings of the 27th European Signal Processing Conference, 2019

2016
Kinéphone: Exploring the Musical Potential of an Actuated Pin-Based Shape Display.
Proceedings of the 16th International Conference on New Interfaces for Musical Expression, 2016


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