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Leonardo Cerliani
Leonardo Cerliani
University of Amsterdam
Computer science
Artificial intelligence
Pattern recognition
Functional magnetic resonance imaging
Deep learning
5
Papers
33
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Depth-resolved intersubject functional correlation of 7T BOLD signals reveals increased stimulus related information sharing across deep layers in premotor and parietal nodes for predictable actions
2021
bioRxiv
Leonardo Cerliani
Ritu Bhandari
L. De Angelis
W. van der Zwaag
Pierre-Louis Bazin
Valeria Gazzola
Christian Keysers
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DLI & spectra app' providing information about variation in DLI and light quality under screens and nets anywhere in the world
2020
Titta Kotilainen
Pedro J. Aphalo
T. Matthew Robson
Leonardo Cerliani
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A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study.
2020
arXiv: Computer Vision and Pattern Recognition
Ahmed El Gazzar
Mirjam Quaak
Leonardo Cerliani
Peter Bloem
Guido van Wingen
Rajat M. Thomas
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Classifying Autism Spectrum Disorder Using the Temporal Statistics of Resting-State Functional MRI Data With 3D Convolutional Neural Networks.
2020
Frontiers in Psychiatry
Rajat M. Thomas
Selene Gallo
Leonardo Cerliani
Paul Zhutovsky
Ahmed El Gazzar
Guido van Wingen
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Citations (24)
A Hybrid 3DCNN and 3DC-LSTM Based Model for 4D Spatio-Temporal fMRI Data: An ABIDE Autism Classification Study
2019
Ahmed El Gazzar
Mirjam Quaak
Leonardo Cerliani
Peter Bloem
Guido van Wingen
Rajat M. Thomas
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Citations (9)
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