4.8k citations
- University of CambridgeGB16 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Institut Jean Le Rond d'AlembertFR6 papers
- Cambridge University Hospitals NHS Foundation TrustGB4 papers
- Imperial College LondonGB4 papers
- University College LondonGB4 papers
- AstraZeneca (United Kingdom)GB3 papers
- Genomics (United Kingdom)GB3 papers
- Medical University of ViennaAT3 papers
- NIHR Cambridge Biomedical Research CentreGB3 papers
- Sorbonne UniversitéFR3 papers
- University of DundeeGB3 papers
25 papers
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
H. Fabelo, S. Ortega, D. Ravi +19
Surgery for brain cancer is a major problem in neurosurgery. The diffuse infiltration into the surrounding normal brain by these tumors makes their accurate identification by the n…
Navigating the challenges in creating complex data systems: a development philosophy
Sören Dittmer, Michael Roberts, Julian Gilbey +6
In this perspective, we argue that despite the democratization of powerful tools for data science and machine learning over the last decade, developing the code for a trustworthy a…
Classification of datasets with imputed missing values: does imputation quality matter?
Tolou Shadbahr, Michael Roberts, Jan Stanczuk +15
Classifying samples in incomplete datasets is a common aim for machine learning practitioners, but is non-trivial. Missing data is found in most real-world datasets and these missi…
The influence of nuclear models and Monte Carlo radiation transport codes on stray neutron dose estimations in proton therapy
M. De Saint-Hubert, J. Farah, M. Klodowska +6
This study investigates the influence of several Monte Carlo radiation transport codes and nuclear models on the simulation of secondary neutron spectra and its impact on calculati…
Lesion characterization in spectral photon-counting tomosynthesis
Bjorn Cederstrom, Erik Fredenberg, Karl Berggren +3
It has previously been shown that 2D spectral mammography can be used to discriminate between (likely benign) cystic and (potentially malignant) solid lesions in order to reduce un…
Measurement of breast-tissue x-ray attenuation by spectral mammography: first results on cyst fluid
Erik Fredenberg, David R. Dance, Paula Willsher +4
Knowledge of x-ray attenuation is essential for developing and evaluating x-ray imaging technologies. For instance, techniques to better characterize cysts at mammography screening…