Solving surface structures from normal incidence X-ray standing wave data. - Mark Basham; Roger A. Bennett (Comput. Phys. Commun., 2007)

A suite of optical network testbeds for a realistic evaluation of MAINS' sub-wavelength switched metro network architectures. - Michael Georgiades; George Zervas; Dimitra Simeonidou; Juan P. Fernández Palacios; Jaime Fullaondo; Mark Basham (ICT, 2011)

E2E-OAM in convergent Sub-wavelength-MPLS environments. - Juan Pedro Fernández-Palacios; Javier Aracil 001; Mark Basham; Michael Georgiades (Future Network & Mobile Summit, 2012)

Benefits of optical packet switching for router by-pass in metro networks. - Csaba Kiss Kallo; Víctor López 001; John Dunne; Óscar González de Dios; Mark Basham; Juan Pedro Fernández-Palacios (Future Network & Mobile Summit, 2012)

SMURFS: Superpixels from Multi-scale Refinement of Super-regions. - Imanol Luengo; Mark Basham; Andrew P. French (BMVC, 2016)

Selective Labeling: Identifying Representative Sub-volumes for Interactive Segmentation. - Imanol Luengo; Mark Basham; Andrew P. French (Patch-MI@MICCAI, 2016)

Fast global interactive volume segmentation with regional supervoxel descriptors. - Imanol Luengo; Mark Basham; Andrew P. French (Image Processing, 2016)

Hierarchical Piecewise-Constant Super-regions. - Imanol Luengo; Mark Basham; Andrew P. French (CoRR, 2016)

Savu: A Python-based, MPI Framework for Simultaneous Processing of Multiple, N-dimensional, Large Tomography Datasets. - Nicola Wadeson; Mark Basham (CoRR, 2016)

Scaling up the software development process, a case study highlighting the complexities of large team software development. - Mark Basham (CoRR, 2017)

A stacked dense denoising-segmentation network for undersampled tomograms and knowledge transfer using synthetic tomograms. - Dimitrios Bellos; Mark Basham; Tony P. Pridmore; Andrew P. French (Mach. Vis. Appl., 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)

Data Management in Integrated Research Institutes: Undertaking a Review of Research Data Management at the Rosalind Franklin Institute. - Felicity Currie; Mark Basham; Laura Shemilt; Nick Lynch (CoRR, 2022)

DisTRaC: Accelerating High Performance Compute Processing for Temporary Data Storage. - Gabryel Mason-Williams; Dave Bond; Mark Basham (CoRR, 2022)

High performance Savu software for fast 3D model-based iterative reconstruction of large data at Diamond Light Source. - Daniil Kazantsev; Nicola Wadeson; Mark Basham (SoftwareX, 2022)

Volume Segmantics: A Python Package for Semantic Segmentation of Volumetric Data Using Pre-trained PyTorch Deep LearningModels. - Oliver N. F. King; Dimitrios Bellos; Mark Basham (J. Open Source Softw., 2022)

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)