A novel way to use cross-validation to measure connectivity by machine learning allows epilepsy surgery outcome prediction.

Linus Manubens-Gil

Karla Ivankovic Alessandro Principe Justo Montoya-Gálvez Linus Manubens-Gil Riccardo Zucca Pablo Villoslada Mara Dierssen Rodrigo Rocamora A novel way to use cross-validation to measure connectivity by machine learning allows epilepsy surgery outcome prediction. 120990 2025 306 NeuroImage https://doi.org/10.1016/j.neuroimage.2024.120990 db/journals/neuroimage/neuroimage306.html#IvankovicPMMZVDR25 streams/journals/neuroimage

Feng Xiong Peng Xie Zuohan Zhao Yiwei Li Sujun Zhao Linus Manubens-Gil Lijuan Liu Hanchuan Peng DSM: Deep sequential model for complete neuronal morphology representation and feature extraction. 100896 2024 January 5 Patterns 1 https://doi.org/10.1016/j.patter.2023.100896 db/journals/patterns/patterns5.html#XiongXZLZMLP24

Pau Clusella Linus Manubens-Gil Jordi García-Ojalvo Mara Dierssen Modeling the impact of neuromorphological alterations in Down syndrome on fast neural oscillations. 1012259 2024 20 PLoS Comput. Biol. 7 https://doi.org/10.1371/journal.pcbi.1012259 db/journals/ploscb/ploscb20.html#ClusellaMGD24 streams/journals/ploscb

Pau Clusella Mara Dierssen Jordi García-Ojalvo Karla Ivankovic Yiwei Li Lijuan Liu Justo Montoya-Gálvez Hanchuan Peng Alessandro Principe Rodrigo Rocamora Pablo Villoslada Peng Xie Feng Xiong Sujun Zhao Zuohan Zhao Riccardo Zucca