Efficient source finding for radio interferometric images. - Luis Lucas; Tim D. Staley; Anna M. M. Scaife (Astron. Comput., 2019)

Cleaning radio interferometric images using a spherical wavelet decomposition. - C. J. Skipper; Anna M. M. Scaife; Jason D. McEwen (Astron. Comput., 2019)

Attention-gating for improved radio galaxy classification. - Micah Bowles; Anna M. M. Scaife; Fiona Porter; Hongming Tang; David J. Bastien (CoRR, 2020)

Practical Galaxy Morphology Tools from Deep Supervised Representation Learning. - Mike Walmsley; Anna M. M. Scaife; Chris J. Lintott; Michelle Lochner; Verlon Etsebeth; Tobias Géron; Hugh Dickinson; Lucy Fortson; Sandor Kruk; Karen L. Masters; Kameswara Bharadwaj Mantha; Brooke D. Simmons (CoRR, 2021)

Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification? - Inigo V. Slijepcevic; Anna M. M. Scaife (CoRR, 2021)

E(2) Equivariant Self-Attention for Radio Astronomy. - Micah Bowles; Matthew Bromley; Max Allen; Anna M. M. Scaife (CoRR, 2021)

Weight Pruning and Uncertainty in Radio Galaxy Classification. - Devina Mohan; Anna M. M. Scaife (CoRR, 2021)

Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification. - Devina Mohan; Anna M. M. Scaife; Fiona Porter; Mike Walmsley; Micah Bowles (CoRR, 2022)

Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift. - Inigo V. Slijepcevic; Anna M. M. Scaife; Mike Walmsley; Micah Bowles; Ivy Wong; Stanislav S. Shabala; Hongming Tang (CoRR, 2022)

Towards Galaxy Foundation Models with Hybrid Contrastive Learning. - Mike Walmsley; Inigo Val Slijepcevic; Micah Bowles; Anna M. M. Scaife (CoRR, 2022)

A New Task: Deriving Semantic Class Targets for the Physical Sciences. - Micah Bowles; Hongming Tang; Eleni Vardoulaki; Emma L. Alexander; Yan Luo; Lawrence Rudnick; Mike Walmsley; Fiona Porter; Anna M. M. Scaife; Inigo Val Slijepcevic; Gary Segal (CoRR, 2022)

MiraBest: A Dataset of Morphologically Classified Radio Galaxies for Machine Learning. - Fiona A. M. Porter; Anna M. M. Scaife (CoRR, 2023)

Bayesian Imaging for Radio Interferometry with Score-Based Priors. - Noe Dia; M. J. Yantovski-Barth; Alexandre Adam; Micah Bowles; Pablo Lemos; Anna M. M. Scaife; Yashar Hezaveh; Laurence Perreault Levasseur (CoRR, 2023)

Rare Galaxy Classes Identified In Foundation Model Representations. - Mike Walmsley; Anna M. M. Scaife (CoRR, 2023)

Zoobot: Adaptable Deep Learning Models for Galaxy Morphology. - Mike Walmsley; Campbell Allen; Ben Aussel; Micah Bowles; Kasia Gregorowicz; Inigo Val Slijepcevic; Chris J. Lintott; Anna M. M. Scaife; Maja Jablonska; Kosio Karchev; Denise Lanzieri; Devina Mohan; et al. (J. Open Source Softw., 2023)

Evaluating Bayesian deep learning for radio galaxy classification. - Devina Mohan; Anna M. M. Scaife (UAI, 2024)

Scaling Laws for Galaxy Images. - Mike Walmsley; Micah Bowles; Anna M. M. Scaife; Jason Shingirai Makechemu; Alexander J. Gordon; Annette M. N. Ferguson; Robert G. Mann; James Pearson; Jürgen J. Popp; Jo Bovy; Joshua S. Speagle; Hugh Dickinson; et al. (CoRR, 2024)

IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priors. - Noe Dia; M. J. Yantovski-Barth; Alexandre Adam; Micah Bowles; Laurence Perreault Levasseur; Yashar Hezaveh; Anna M. M. Scaife (CoRR, 2025)