390 citations
- King's College LondonGB12 papers
- King's College SchoolGB4 papers
- St Thomas' HospitalGB3 papers
- University College LondonGB3 papers
- Guy's and St Thomas' NHS Foundation TrustGB2 papers
- Imperial College Healthcare NHS TrustGB2 papers
- Alberta Machine Intelligence InstituteCA1 paper
- American College of RadiologyUS1 paper
- Aminu Kano Teaching HospitalNG1 paper
- Aristotle University of ThessalonikiGR1 paper
- Asan Medical CenterKR1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
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eess.IV2025
A generalisable head MRI defacing pipeline: Evaluation on 2,566 meningioma scans
Lorena Garcia-Foncillas Macias, Aaron Kujawa, Aya Elshalakany +2
Reliable MRI defacing techniques to safeguard patient privacy while preserving brain anatomy are critical for research collaboration. Existing methods often struggle with incomplet…
eess.IV2023★ 14 cited
Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: Application to surgical imaging
Peichao Li, Muhammad Asad, Conor Horgan +3
Hyperspectral imaging has the potential to improve intraoperative decision making if tissue characterisation is performed in real-time and with high-resolution. Hyperspectral snaps…
eess.IV2021
Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction
Peichao Li, Michael Ebner, Philip Noonan +5
Hyperspectral imaging is one of the most promising techniques for intraoperative tissue characterisation. Snapshot mosaic cameras, which can capture hyperspectral data in a single…