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Jessica Dafflon

Showing results (1-10 of 10) with videos related to

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Frontiers in Psychiatry|December 21, 2020
Brain-Age Prediction Using Shallow Machine Learning: Predictive Analytics Competition 2019Pedro F Da Costa, Jessica Dafflon, Walter H L Pinaya
Frontiers in Psychiatry|August 6, 2020
A GABA Interneuron Deficit Model of the Art of Vincent van GoghFederico E Turkheimer, Erik D Fagerholm, Miriam Vignando, et al.
Arxiv|May 15, 2024
Reliability and predictability of phenotype information from functional connectivity in large imaging datasetsJessica Dafflon, Dustin Moraczewski, Eric Earl, et al.
Translational Psychiatry|November 14, 2019
Acute anxiety and autonomic arousal induced by CO<sub>2</sub> inhalation impairs prefrontal executive functions in healthy humansGeorge Savulich, Frank H Hezemans, Sophia van Ghesel Grothe, et al.
Nature Communications|June 29, 2022
A guided multiverse study of neuroimaging analysesJessica Dafflon, Pedro F Da Costa, František Váša, et al.
Human Brain Mapping|March 19, 2021
Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric dataLea Baecker, Jessica Dafflon, Pedro F da Costa, et al.
Human Brain Mapping|May 17, 2020
An automated machine learning approach to predict brain age from cortical anatomical measuresJessica Dafflon, Walter H L Pinaya, Federico Turkheimer, et al.
Nature Machine Intelligence|July 26, 2024
Realistic morphology-preserving generative modelling of the brainPetru-Daniel Tudosiu, Walter H L Pinaya, Pedro Ferreira Da Costa, et al.
Nature Human Behaviour|November 28, 2024
Large language models surpass human experts in predicting neuroscience resultsXiaoliang Luo, Akilles Rechardt, Guangzhi Sun, et al.
Medical Image Analysis|July 28, 2024
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge reportEvi M C Huijben, Maarten L Terpstra, Arthur Jr Galapon, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Frontiers in Psychiatry|December 21, 2020
Brain-Age Prediction Using Shallow Machine Learning: Predictive Analytics Competition 2019Pedro F Da Costa, Jessica Dafflon, Walter H L Pinaya
Frontiers in Psychiatry|August 6, 2020
A GABA Interneuron Deficit Model of the Art of Vincent van GoghFederico E Turkheimer, Erik D Fagerholm, Miriam Vignando, et al.
Arxiv|May 15, 2024
Reliability and predictability of phenotype information from functional connectivity in large imaging datasetsJessica Dafflon, Dustin Moraczewski, Eric Earl, et al.
Translational Psychiatry|November 14, 2019
Acute anxiety and autonomic arousal induced by CO<sub>2</sub> inhalation impairs prefrontal executive functions in healthy humansGeorge Savulich, Frank H Hezemans, Sophia van Ghesel Grothe, et al.
Nature Communications|June 29, 2022
A guided multiverse study of neuroimaging analysesJessica Dafflon, Pedro F Da Costa, František Váša, et al.
Human Brain Mapping|March 19, 2021
Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric dataLea Baecker, Jessica Dafflon, Pedro F da Costa, et al.
Human Brain Mapping|May 17, 2020
An automated machine learning approach to predict brain age from cortical anatomical measuresJessica Dafflon, Walter H L Pinaya, Federico Turkheimer, et al.
Nature Machine Intelligence|July 26, 2024
Realistic morphology-preserving generative modelling of the brainPetru-Daniel Tudosiu, Walter H L Pinaya, Pedro Ferreira Da Costa, et al.
Nature Human Behaviour|November 28, 2024
Large language models surpass human experts in predicting neuroscience resultsXiaoliang Luo, Akilles Rechardt, Guangzhi Sun, et al.
Medical Image Analysis|July 28, 2024
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge reportEvi M C Huijben, Maarten L Terpstra, Arthur Jr Galapon, et al.
Pageof 1