Mark Basham

19 papers A 1B 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
AntigenApp: a laboratory data management system for nanobody generation and sequence analysis.
Bioinform.
Alexander L. R. Lubbock, Lauren E.-A. Eyssen, Kelly Parker, Mark Basham, Laura Shemilt, Raymond J. Owens
2025 J jnl
PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modelling and machine learning.
CoRR
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
2024 — conf
Affinity-VAE: Incorporating Prior Knowledge in Representation Learning from Scientific Images.
ECCV Workshops (16)
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
2022 J jnl
Affinity-VAE for disentanglement, clustering and classification of objects in multidimensional image data.
CoRR
Jola Mirecka, Marjan Famili, Anna Kotanska, Nikolai Juraschko, Beatriz Costa-Gomes, Colin M. Palmer, Jeyan Thiyagalingam, Tom Burnley, Mark Basham, Alan R. Lowe
2022 J jnl
Data Management in Integrated Research Institutes: Undertaking a Review of Research Data Management at the Rosalind Franklin Institute.
CoRR
Felicity Currie, Mark Basham, Laura Shemilt, Nick Lynch
2022 J jnl
DisTRaC: Accelerating High Performance Compute Processing for Temporary Data Storage.
CoRR
Gabryel Mason-Williams, Dave Bond, Mark Basham
2022 J jnl
High performance Savu software for fast 3D model-based iterative reconstruction of large data at Diamond Light Source.
SoftwareX
Daniil Kazantsev, Nicola Wadeson, Mark Basham
2022 J jnl
Volume Segmantics: A Python Package for Semantic Segmentation of Volumetric Data Using Pre-trained PyTorch Deep LearningModels.
J. Open Source Softw.
Oliver N. F. King, Dimitrios Bellos, Mark Basham
2021 J jnl
A stacked dense denoising-segmentation network for undersampled tomograms and knowledge transfer using synthetic tomograms.
Mach. Vis. Appl.
Dimitrios Bellos, Mark Basham, Tony P. Pridmore, Andrew P. French
2017 J jnl
Scaling up the software development process, a case study highlighting the complexities of large team software development.
CoRR
Mark Basham
2016 B conf
Fast global interactive volume segmentation with regional supervoxel descriptors.
Image Processing
Imanol Luengo, Mark Basham, Andrew P. French
2016 J jnl
Hierarchical Piecewise-Constant Super-regions.
CoRR
Imanol Luengo, Mark Basham, Andrew P. French
2016 A conf
SMURFS: Superpixels from Multi-scale Refinement of Super-regions.
BMVC
Imanol Luengo, Mark Basham, Andrew P. French
2016 J jnl
Savu: A Python-based, MPI Framework for Simultaneous Processing of Multiple, N-dimensional, Large Tomography Datasets.
CoRR
Nicola Wadeson, Mark Basham
2016 — conf
Selective Labeling: Identifying Representative Sub-volumes for Interactive Segmentation.
Patch-MI@MICCAI
Imanol Luengo, Mark Basham, Andrew P. French
2012 — conf
Benefits of optical packet switching for router by-pass in metro networks.
Future Network & Mobile Summit
Csaba Kiss Kallo, Víctor López, John Dunne, Óscar González de Dios, Mark Basham, Juan Pedro Fernández-Palacios
2012 — conf
E2E-OAM in convergent Sub-wavelength-MPLS environments.
Future Network & Mobile Summit
Juan Pedro Fernández-Palacios, Javier Aracil, Mark Basham, Michael Georgiades
2011 — conf
A suite of optical network testbeds for a realistic evaluation of MAINS' sub-wavelength switched metro network architectures.
ICT
Michael Georgiades, George Zervas, Dimitra Simeonidou, Juan P. Fernández Palacios, Jaime Fullaondo, Mark Basham
2007 J jnl
Solving surface structures from normal incidence X-ray standing wave data.
Comput. Phys. Commun.
Mark Basham, Roger A. Bennett