Andrés Rojas, Eleni Kroupi, Géraldine Martens, Aurore Thibaut, Alice Barra, Steven Laureys, Giulio Ruffini, Aureli Soria-Frisch. Prediction of Minimally Conscious State Responder Patients to Non-invasive Brain Stimulation Using Machine Learning Algorithms. In Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei 0001, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani, editors, Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part I. Volume 12661 of Lecture Notes in Computer Science, pages 515-525, Springer, 2020. [doi]
@inproceedings{RojasKMTBLRS20,
title = {Prediction of Minimally Conscious State Responder Patients to Non-invasive Brain Stimulation Using Machine Learning Algorithms},
author = {Andrés Rojas and Eleni Kroupi and Géraldine Martens and Aurore Thibaut and Alice Barra and Steven Laureys and Giulio Ruffini and Aureli Soria-Frisch},
year = {2020},
doi = {10.1007/978-3-030-68763-2_39},
url = {https://doi.org/10.1007/978-3-030-68763-2_39},
researchr = {https://researchr.org/publication/RojasKMTBLRS20},
cites = {0},
citedby = {0},
pages = {515-525},
booktitle = {Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part I},
editor = {Alberto Del Bimbo and Rita Cucchiara and Stan Sclaroff and Giovanni Maria Farinella and Tao Mei 0001 and Marco Bertini and Hugo Jair Escalante and Roberto Vezzani},
volume = {12661},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-68763-2},
}