Author

Johann D D Pitout

Alberta Precision LaboratoriesORCID 0000-0002-4547-4707Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Microbiology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Research Focus:imputation· 1 Approach:machine learning (classical)· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Bogdan Iuliu IorgaiD· 2 shared Dylan R. PillaiiD· 2 shared Biniyam Kahsay MezgeboiD· 1 shared Elsa DenakpoiD· 1 shared Flora JayiD· 1 shared Jack Burke-Gaffney· 1 shared L. Ricardo Castellanos· 1 shared Matthew Ethan MacDonaldiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersMicrobiology

Bogdan Iuliu IorgaORCID

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2 papers

Recent·Most cited

You Only Look Once (YOLO) Based Machine Learning Algorithm for Real-Time Detection of Loop-Mediated Isothermal Amplification (LAMP) Diagnostics

Biniyam Kahsay Mezgebo, Ryan Chaffee, L. Ricardo Castellanos, S. Ashraf, Jack Burke-Gaffney, Johann D D Pitout, Bogdan Iuliu Iorga, Matthew Ethan MacDonald, Dylan R. Pillai

This paper develops a YOLO-based algorithm to automate LAMP result classification, achieving high accuracy and precision in detecting positive and negative cases.

PLoS ONE · Feb 24, 2026Peer-reviewedMicrobiology

Imputing missing minimum inhibitory concentration (MIC) values for Pseudomonas aeruginosa strains with a Denoising AutoEncoder

Elsa Denakpo, Nicolas Dias, Johann D D Pitout, Thierry Naas, Dylan R. Pillai, Flora Jay, Bogdan Iuliu Iorga

The paper introduces MICFiller, a Denoising AutoEncoder to impute missing MIC values for Pseudomonas aeruginosa, achieving high accuracy compared to existing methods.

bioRxiv · Mar 26, 2025 · PreprintMicrobiology