Benjamin Billot

Benjamin Billot

University College London

H-index: 13

Europe-United Kingdom

About Benjamin Billot

Benjamin Billot, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at University College London, specializes in the field of medical image analysis, image segmentation, deep learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Network conditioning for synergistic learning on partial annotations

Linking brain structure, cognition, and sleep: insights from clinical data

A next-generation, histological atlas of the human brain and its application to automated brain MRI segmentation

AnyStar: Domain randomized universal star-convex 3D instance segmentation

Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels

SE (3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images

Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI

Brain Growth Charts for Quantitative Analysis of Pediatric Clinical Brain MRI Scans with Limited Imaging Pathology

Benjamin Billot Information

University

Position

PhD student

Citations(all)

676

Citations(since 2020)

675

Cited By

36

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

13

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Benjamin Billot Skills & Research Interests

medical image analysis

image segmentation

deep learning

Top articles of Benjamin Billot

Network conditioning for synergistic learning on partial annotations

2024/2/13

Linking brain structure, cognition, and sleep: insights from clinical data

Sleep

2024/2/1

A next-generation, histological atlas of the human brain and its application to automated brain MRI segmentation

bioRxiv

2024

AnyStar: Domain randomized universal star-convex 3D instance segmentation

WACV 2024: Winter Conference on Applications of Computer Vision

2024/1/1

Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels

arXiv preprint arXiv:2403.15609

2024/3/22

SE (3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images

arXiv preprint arXiv:2312.13534

2023/12/21

Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI

arXiv preprint arXiv:2312.05119

2023/12/8

Brain Growth Charts for Quantitative Analysis of Pediatric Clinical Brain MRI Scans with Limited Imaging Pathology

Radiology

2023/10/31

Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI

2023/10/1

3D analysis of dissection photographs with surface scanning and machine learning for quantitative neuropathology.

bioRxiv

2023

Equivariant and Denoising CNNs to Decouple Intensity and Spatial Features for Motion Tracking in Fetal Brain MRI

2023/4/28

Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets

Proceedings of the National Academy of Sciences

2023/2/28

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining

Medical image analysis

2023/5/1

SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry

Science advances

2023/2/1

Quantitative brain morphometry of portable low-field-strength MRI using super-resolution machine learning

Radiology

2022/11/8

Bridging generative models and Convolutional Neural Networks for domain-agnostic segmentation of brain MRI

2022/10/28

Robust segmentation of brain MRI in the wild with hierarchical CNNs and no retraining

2022/9/16

Super-resolution of portable low-field MRI in real scenarios: integration with denoising and domain adaptation

2022/4/25

In vivo hypothalamic regional volumetry across the frontotemporal dementia spectrum

NeuroImage: Clinical

2022/1/1

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

2021/8/15

See List of Professors in Benjamin Billot University(University College London)

Co-Authors

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