Automated Deep Lineage Tree Analysis Using a Bayesian Single Cell Tracking Approach. - Kristina Ulicna; Giulia Vallardi; Guillaume Charras; Alan R. Lowe (Frontiers Comput. Sci., 2021)

Affinity-VAE for disentanglement, clustering and classification of objects in multidimensional image data. - Jola Mirecka; Marjan Famili; Anna Kotanska; Nikolai Juraschko; Beatriz Costa-Gomes; Colin M. Palmer; Jeyan Thiyagalingam; Tom Burnley; Mark Basham; Alan R. Lowe (CoRR, 2022)

Learning biophysical determinants of cell fate with deep neural networks. - Christopher J. Soelistyo; Giulia Vallardi; Guillaume Charras; Alan R. Lowe (Nat. Mach. Intell., 2022)

Virtual perturbations to assess explainability of deep-learning based cell fate predictors. - Christopher J. Soelistyo; Guillaume Charras; Alan R. Lowe (ICCV (Workshops), 2023)

Machine learning enhanced cell tracking. - Christopher J. Soelistyo; Kristina Ulicna; Alan R. Lowe (Frontiers Bioinform., 2023)

Discovering interpretable models of scientific image data with deep learning. - Christopher J. Soelistyo; Alan R. Lowe (CVPR Workshops, 2024)

Affinity-VAE: Incorporating Prior Knowledge in Representation Learning from Scientific Images. - Marjan Famili; Jola Mirecka; Camila Rangel Smith; Anna Kostanska; Nikolai Juraschko; Beatriz Costa-Gomes; Colin M. Palmer; Jeyan Thiyagalingam; Tom Burnley; Mark Basham; Alan R. Lowe (ECCV Workshops (16), 2024)

PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modelling and machine learning. - Beatriz Costa-Gomes; Joel Greer; Nikolai Juraschko; James Parkhurst; Jola Mirecka; Marjan Famili; Camila Rangel Smith; Oliver Strickson; Alan R. Lowe; Mark Basham; Tom Burnley (CoRR, 2025)