Author

Alexander Campbell

University of CambridgeORCID 0000-0003-1713-2475Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:graph neural network· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:statistical model· 1

Frequent Co-Authors

Píetro LióiD· 2 shared Richard A. I. BethlehemiD· 2 shared Tiago AzevedoiD· 2 shared Kamilė StankevičiūtėiD· 1 shared Luca PassamontiiD· 1 shared Nicola ToschiiD· 1 shared Rafael Romero-GarcíaiD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 18 mutual co-author links

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2 shared papersNeuroscience

Píetro LióORCID

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2 papers

Recent·Most cited

NeuroscienceMedical Image AnalysisPeer-reviewedMay 7, 2022

A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in resting-state functional MRI Data

Tiago Azevedo, Alexander Campbell, Rafael Romero-García…·Nicola Toschi

This paper introduces a deep graph neural network combining GNNs and TCNs to model spatio-temporal dynamics in rs-fMRI data, showing explainable neurobiological insights.

76 citationstop 1%

humanimaging

𝕏 PostBluesky

NeurosciencebioRxivPreprintJun 26, 2020

Population Graph GNNs for Brain Age Prediction

Kamilė Stankevičiūtė, Tiago Azevedo, Alexander Campbell…·Píetro Lió

This paper predicts brain age using graph neural networks integrated with multimodal data, showing robustness to noise and graph sparsity.

13 citations

humanimaging

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