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- January 29, 2020.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- Carla Sendra-Balcells1,
- Ricardo Salvador1,
- Juan B. Pedro2,
- M C Biagi1,
- Charlène Aubinet4,
- Brad Manor5,
- Aurore Thibaut4,
- Steven Laureys4,
- Karim Lekadir3 and
- Giulio Ruffini*,1,2
- 1Neuroelectrics, Av. Tibidabo 47bis, Barcelona, Spain
- 2Starlab Barcelona SL, Av. Tibidabo 47bis, Barcelona, Spain
- 3Artificial Intelligence in Medicine Lab, Universitat de Barcelona, Dpt. Matemàtiques & Informàtica
- 4Coma Science Group, GIGA-Consciousness, University of Liege & Brain Clinic, University Hospital of Liege, Liege, Belgium
- 5Institute for Aging Research, Hebrew SeniorLife, Roslindale, MA, USA, Beth Israel Deaconess Medical Center, Boston, MA, USA, Harvard Medical School, Boston, MA, USA
- ↵*Corresponding author — giulio.ruffini{at}neuroelectrics.com
Posted January 29, 2020.
Convolutional neural network MRI segmentation for fast and robust optimization of transcranial electrical current stimulation of the human brain
