Alexandre Boutet

According to our database, Alexandre Boutet authored at least 3 papers between 2023 and 2026.

Collaborative distances:

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

2026

DBS-ElecNet: Automated Localization and Segmentation of DBS Electrodes in Clinical MRI.

Vanessa H. Yu, Edward Chen, Jürgen Germann, Alexandre Boutet, Andres M. Lozano, Kâmil Uludag, Sriranga Kashyap

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2024

WarpDrive: Improving spatial normalization using manual refinements.

Simon Oxenford, Ana Sofía Ríos, Barbara Hollunder, Clemens Neudorfer, Alexandre Boutet, Gavin J. B. Elias, Jürgen Germann, Aaron Loh, Wissam Deeb, Bryan Salvato, Leonardo Almeida, Kelly D. Foote, Robert S. C. Amaral, Paul B. Rosenberg, David F. Tang-Wai, David A. Wolk, Anna D. Burke, Marwan N. Sabbagh, Stephen Salloway, M. Mallar Chakravarty, Gwenn S. Smith, Constantine G. Lyketsos, Michael S. Okun, William S. Anderson, Zoltan Mari, Francisco A. Ponce, Andres M. Lozano, Wolf-Julian Neumann, Bassam Al-Fatly, Andreas Horn

Medical Image Anal., January, 2024

2023

Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography.

Nebras M. Warsi, Simeon M. Wong, Jürgen Germann, Alexandre Boutet, Olivia N. Arski, Ryan Anderson, Lauren Erdman, Han Yan, Hrishikesh Suresh, Flavia Venetucci Gouveia, Aaron Loh, Gavin J. B. Elias, Elizabeth Kerr, Mary Lou Smith, Ayako Ochi, Hiroshi Otsubo, Roy Sharma, Puneet Jain, Elizabeth Donner, Andres M. Lozano, O. Carter Snead, George M. Ibrahim

Neural Networks, October, 2023