Benjamin Billot

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Cosmin Ciausu, Deepa Krishnaswamy, Benjamin Billot, Steve Pieper, Ron Kikinis, Andrey Fedorov

CoRR, 2024

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

Neel Dey, S. Mazdak Abulnaga, Benjamin Billot, Esra Abaci Turk, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI.

Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Bran Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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

Benjamin Billot, Douglas N. Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Juan Eugenio Iglesias

Medical Image Anal., May, 2023

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

Benjamin Billot, Daniel Moyer, Neel Dey, Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Patricia Ellen Grant, Polina Golland

CoRR, 2023

Domain-Agnostic Segmentation of Thalamic Nuclei from Joint Structural and Diffusion MRI.

Henry F. J. Tregidgo, Sonja Soskic, Mark D. Olchanyi, Juri Althonayan, Benjamin Billot, Chiara Maffei, Polina Golland, Anastasia Yendiki, Daniel C. Alexander, Martina Bocchetta, Jonathan D. Rohrer, Juan Eugenio Iglesias

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images.

Malte Hoffmann, Benjamin Billot, Douglas N. Greve, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca

IEEE Trans. Medical Imaging, 2022

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

Benjamin Billot, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Juan Eugenio Iglesias

CoRR, 2022

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

Benjamin Billot, Colin G. Magdamo, Sean E. Arnold, Sudeshna Das, Juan Eugenio Iglesias

CoRR, 2022

Accurate super-resolution low-field brain MRI.

Juan Eugenio Iglesias, Riana Schleicher, Sonia Laguna, Benjamin Billot, Pamela Schaefer, Brenna McKaig, Joshua N. Goldstein, Kevin N. Sheth, Matthew S. Rosen, W. Taylor Kimberly

CoRR, 2022

Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and No Retraining.

Benjamin Billot, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Juan Eugenio Iglesias

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.

Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, R. Gilberto González, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl

NeuroImage, 2021

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

Douglas N. Greve, Benjamin Billot, Devani Cordero, Andrew Hoopes, Malte Hoffmann, Adrian V. Dalca, Bruce Fischl, Juan Eugenio Iglesias, Jean C. Augustinack

NeuroImage, 2021

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

Benjamin Billot, Douglas N. Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Juan Eugenio Iglesias

CoRR, 2021

Learning Mri Contrast-Agnostic Registration.

Malte Hoffmann, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca

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.

Benjamin Billot, Stefano Cerri, Koen Van Leemput, Adrian V. Dalca, Juan Eugenio Iglesias

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

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

Benjamin Billot, Martina Bocchetta, Emily Todd, Adrian V. Dalca, Jonathan D. Rohrer, Juan Eugenio Iglesias

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.

Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl

CoRR, 2020

Learning Multi-Modal Image Registration without Real Data.

Malte Hoffmann, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca

CoRR, 2020

A Learning Strategy for Contrast-agnostic MRI Segmentation.

Benjamin Billot, Douglas N. Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian V. Dalca

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Partial Volume Segmentation of Brain MRI Scans of Any Resolution and Contrast.

Benjamin Billot, Eleanor D. Robinson, Adrian V. Dalca, Juan Eugenio Iglesias

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Deep Reinforcement Learning for Subpixel Neural Tracking.

Tianhong Dai, Magda Dubois, Kai Arulkumaran, Jonathan Campbell, Cher Bass, Benjamin Billot, Fatmatülzehra Uslu, Vincenzo De Paola, Claudia Clopath, Anil Anthony Bharath

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Image Synthesis with a Convolutional Capsule Generative Adversarial Network.

Cher Bass, Tianhong Dai, Benjamin Billot, Kai Arulkumaran, Antonia Creswell, Claudia Clopath, Vincenzo De Paola, Anil Anthony Bharath

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019