Benjamin Billot

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 10

Top Topics

Diffusion Weighted Imaging

Machine Learning

Cerebral Ischemia

Top Venues

Proceedings of the National Academy of Sciences of the United States of America

Science advances

This page only lists publications with an associated author ORCID identifier.

Publications

Juan Eugenio Iglesias, Benjamin Billot, Yael Balbastre, Colin Magdamo, Steven E Arnold, Sudeshna Das, Brian L Edlow, Daniel C Alexander, Polina Golland, Bruce Fischl
SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry. Science advances 9 (5) (2023)
Benjamin Billot, Colin Magdamo, You Cheng, Steven E Arnold, Sudeshna Das, Juan Eugenio Iglesias
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets. Proceedings of the National Academy of Sciences of the United States of America 120 (9) (2023)
Benjamin Billot, Colin Magdamo, You Cheng, Steven E Arnold, Sudeshna Das, Juan Eugenio Iglesias
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets. Proceedings of the National Academy of Sciences of the United States of America 120 (9) (2023)
Juan Eugenio Iglesias, Benjamin Billot, Yael Balbastre, Colin Magdamo, Steven E Arnold, Sudeshna Das, Brian L Edlow, Daniel C Alexander, Polina Golland, Bruce Fischl
SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry. Science advances 9 (5) (2023)
Jenna M Schabdach, J Eric Schmitt, Susan Sotardi, Arastoo Vossough, Savvas Andronikou, Timothy P Roberts, Hao Huang, Viveknarayanan Padmanabhan, Alfredo Ortiz-Rosa, Margaret Gardner, Sydney Covitz, Saashi A Bedford, Ayan S Mandal, Barbara H Chaiyachati, Simon R White, Edward Bullmore, Richard A I Bethlehem, Russell T Shinohara, Benjamin Billot, Juan Eugenio Iglesias, Satrajit S Ghosh, Raquel C Gur, Theodore D Satterthwaite, David Roalf, Jakob Seidlitz, Aaron F Alexander-Bloch, null null
Brain Growth Charts for Quantitative Analysis of Pediatric Clinical Brain MRI Scans with Limited Imaging Pathology. Radiology 309 (1) (2023)
Benjamin Billot, Colin Magdamo, You Cheng, Steven E Arnold, Sudeshna Das, Juan Eugenio Iglesias
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets. Proceedings of the National Academy of Sciences of the United States of America 120 (9) (2023)
Juan Eugenio Iglesias, Benjamin Billot, Yael Balbastre, Colin Magdamo, Steven E Arnold, Sudeshna Das, Brian L Edlow, Daniel C Alexander, Polina Golland, Bruce Fischl
SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry. Science advances 9 (5) (2023)
Juan Eugenio Iglesias, Benjamin Billot, Yael Balbastre, Colin Magdamo, Steven E Arnold, Sudeshna Das, Brian L Edlow, Daniel C Alexander, Polina Golland, Bruce Fischl
SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry. Science advances 9 (5) (2023)
Benjamin Billot, Colin Magdamo, You Cheng, Steven E Arnold, Sudeshna Das, Juan Eugenio Iglesias
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets. Proceedings of the National Academy of Sciences of the United States of America 120 (9) (2023)
Juan Eugenio Iglesias, Riana Schleicher, Sonia Laguna, Benjamin Billot, Pamela W Schaefer, Brenna McKaig, Joshua Norkin Goldstein, Kevin N Sheth, Matthew S Rosen, William T Kimberly
Quantitative Brain Morphometry of Portable Low-Field-Strength MRI Using Super-Resolution Machine Learning. Radiology (2022)