Scholar
M. Jorge Cardoso
Google Scholar ID: BuJuSqkAAAAJ
Reader, King's College London
Medical Image Analysis
Artificial Intelligence
Machine Learning
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Citations & Impact
All-time
Citations
40,135
H-index
70
i10-index
236
Publications
20
Co-authors
67
list available
Contact
Email
mailto:?subject=Jorge%20Cardoso&body=Check%20out%20this%20researcher%20at%20King's%20College%20London%3A%20Jorge%20Cardoso | https://kclpure.kcl.ac.uk/portal/en/persons/m.jorge.cardoso/?utm_source=email&utm_medium=email&utm_campaign=sharelink
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Publications
5 items
CLoPA: Continual Low Parameter Adaptation of Interactive Segmentation for Medical Image Annotation
2026
Cited
0
Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals
2026
Cited
0
A methodology for clinically driven interactive segmentation evaluation
2025
Cited
0
MAIS: Memory-Attention for Interactive Segmentation
2025
Cited
0
Resolution Invariant Autoencoder
2025
Cited
0
Resume (English only)
Academic Achievements
290 research outputs including 182 journal articles, 83 conference papers, and 6 preprints
Contributor to FUTURE-AI international consensus guidelines for trustworthy AI in healthcare (accepted by BMJ, 2025)
Co-author of 'Neuradicon: Operational representation learning of neuroimaging reports' (Computer Methods and Programs in Biomedicine, April 2025)
Research on synthesis of annotated data for medical image segmentation
19,284 citations on Google Scholar
Co-authors
67 total
Sebastien Ourselin
Professor of Healthcare Engineering, King's College London
Marc Modat
King's College London
Carole Sudre
University College London
Co-author 4
Co-author 5
Parashkev Nachev
University College London
Tom Vercauteren
Professor of Interventional Image Computing, King's College London
Co-author 8
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