Benjamin Billot

Orcid: 0000-0002-3018-1282

According to our database1, Benjamin Billot authored at least 23 papers between 2019 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels.
CoRR, 2024

AnyStar: Domain randomized universal star-convex 3D instance segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining.
Medical Image Anal., May, 2023

SE(3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images.
CoRR, 2023

Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI.
CoRR, 2023

Domain-Agnostic Segmentation of Thalamic Nuclei from Joint Structural and Diffusion MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images.
IEEE Trans. Medical Imaging, 2022

Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets.
CoRR, 2022

Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining.
CoRR, 2022

Accurate super-resolution low-field brain MRI.
CoRR, 2022

Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and No Retraining.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast.
NeuroImage, 2021

A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images.
NeuroImage, 2021

SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution.
CoRR, 2021

Learning Mri Contrast-Agnostic Registration.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Automated segmentation of the hypothalamus and associated subunits in brain MRI.
NeuroImage, 2020

Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast.
CoRR, 2020

Learning Multi-Modal Image Registration without Real Data.
CoRR, 2020

A Learning Strategy for Contrast-agnostic MRI Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Partial Volume Segmentation of Brain MRI Scans of Any Resolution and Contrast.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Deep Reinforcement Learning for Subpixel Neural Tracking.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Image Synthesis with a Convolutional Capsule Generative Adversarial Network.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019


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