Author

David L. Dowe

Monash UniversityORCID 0000-0002-0583-5918Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Amanda Ng· 1 shared Anna G. GreeniD· 1 shared Anton Y. PelegiD· 1 shared David G. BarnesiD· 1 shared Gary F. EganiD· 1 shared Gnei Z. Badoordeen· 1 shared Hoai-An NguyeniD· 1 shared Jessica A. WisniewskiiD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

Amanda Ng

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2 papers

Recent·Most cited

GenomicsNature CommunicationsPeer-reviewedMar 6, 2026

AMR-GNN: A multi-representation graph neural network framework to enable genomic antimicrobial resistance prediction

Hoai-An Nguyen, Anton Y. Peleg, Jessica A. Wisniewski…·Nenad Maćešić

AMR-GNN predicts antimicrobial resistance using a graph neural network framework that integrates multiple genomic representations from whole-genome sequencing data.

11 citationstop 1%

bacteria (other)whole-genome sequencing

NeuroscienceNeuroImagePeer-reviewedOct 25, 2017

Combining images and anatomical knowledge to improve automated vein segmentation in MRI

Phillip G. D. Ward, Nicholas J. Ferris, Parnesh Raniga…·Gary F. Egan

This study improves automated vein segmentation in MRI by combining susceptibility-weighted images, quantitative susceptibility maps, and a vein atlas into a composite vein image, showing significant performance gains.

29 citations

imagingstatistical model