Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu. From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII. Volume 12267 of Lecture Notes in Computer Science, pages 62-71, Springer, 2020. [doi]
@inproceedings{NgoKJKS20,
title = {From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity},
author = {Gia H. Ngo and Meenakshi Khosla and Keith Jamison and Amy Kuceyeski and Mert R. Sabuncu},
year = {2020},
doi = {10.1007/978-3-030-59728-3_7},
url = {https://doi.org/10.1007/978-3-030-59728-3_7},
researchr = {https://researchr.org/publication/NgoKJKS20},
cites = {0},
citedby = {0},
pages = {62-71},
booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII},
editor = {Anne L. Martel and Purang Abolmaesumi and Danail Stoyanov and Diana Mateus and Maria A. Zuluaga and S. Kevin Zhou and Daniel Racoceanu and Leo Joskowicz},
volume = {12267},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-59728-3},
}